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Review

The Interplay between Autophagy and Mitochondria in Cancer

by
Aleksandra Zdanowicz
1,2 and
Emilia Grosicka-Maciąg
3,*
1
Department of Biochemistry, Medical University of Warsaw, Banacha 1 Str., 02-097 Warsaw, Poland
2
Doctoral School, Medical University of Warsaw, Zwirki i Wigury 81 Str., 02-091 Warsaw, Poland
3
Department of Biochemistry and Laboratory Diagnostic, Collegium Medicum Cardinal Stefan Wyszyński University, Kazimierza Wóycickiego 1 Str., 01-938 Warsaw, Poland
*
Author to whom correspondence should be addressed.
Int. J. Mol. Sci. 2024, 25(17), 9143; https://doi.org/10.3390/ijms25179143
Submission received: 15 July 2024 / Revised: 16 August 2024 / Accepted: 21 August 2024 / Published: 23 August 2024

Abstract

:
Besides producing cellular energy, mitochondria are crucial in controlling oxidative stress and modulating cellular metabolism, particularly under stressful conditions. A key aspect of this regulatory role involves the recycling process of autophagy, which helps to sustain energy homeostasis. Autophagy, a lysosome-dependent degradation pathway, plays a fundamental role in maintaining cellular homeostasis by degrading damaged organelles and misfolded proteins. In the context of tumor formation, autophagy significantly influences cancer metabolism and chemotherapy resistance, contributing to both tumor suppression and surveillance. This review focuses on the relationship between mitochondria and autophagy, specifically in the context of cancer progression. Investigating the interaction between autophagy and mitochondria reveals new possibilities for cancer treatments and may result in the development of more effective therapies targeting mitochondria, which could have significant implications for cancer treatment. Additionally, this review highlights the increasing understanding of autophagy’s role in tumor development, with a focus on modulating mitochondrial function and autophagy in both pre-clinical and clinical cancer research. It also explores the potential for developing more-targeted and personalized therapies by investigating autophagy-related biomarkers.

1. Introduction: The Function of Mitochondria

Mitochondria are often termed the “powerhouse” of the cell because of their ability to transform the energy contained in glucose or other organic molecules into adenosine triphosphate (ATP).
During cellular respiration, apart from ATP production (Figure 1), mitochondria primarily generate reactive oxygen species (ROS), mainly superoxide (O2−), due to electron leakage at complexes I and III [1]. Under typical physiological conditions, mitochondria produce a modest level of mtROS (mitochondrial ROS), but in the presence of a mitochondrial dysfunction, the production of mtROS escalates uncontrollably. This excessive, unmanageable level of mtROS leads to modified mitochondrial redox signaling. Oxidative stress conditions within mitochondria are heralded by the impairment of the Krebs cycle, the degradation of mitochondrial proteins through their unfolding, also impacting cell death, mitochondrial DNA (mtDNA) mutations, and lipid damage [2]. Moreover, mitochondrial oxidative stress induces the expression of genes that activate stress response pathways, including the activation of Nrf2 (nuclear factor erythroid 2-related factor 2). The Nrf2 transcription factor controls the expression of antioxidant response genes related to glutathione, thioredoxin, iron metabolism, and NADPH production. Disruption of mtDNA by mtROS can impair ETC function because mtDNA encodes 13 mRNAs for mitochondrial respiratory complexes, 22 tRNAs, and 2 rRNAs [3]. The control of the accumulation and elimination of mtROS can be executed by either superoxide dismutase (SOD), NADPH oxidase (NOX), catalase (CAT), glutathione peroxidase (GSH-Px), or thioredoxin peroxidase (TRX-Px) [4]. The effectiveness of GSH-Px and TRX-Px is contingent upon the presence of reduced glutathione (GSH) and reduced thioredoxin (TRX). The replenishment of GSH and TRX relies on the functionality of reductases and the quantity of their cofactor, NADPH. Additionally, mtROS can be eliminated through the controlled removal of mitochondria, known as mitophagy [2].
Mitochondria play crucial roles in maintaining calcium homeostasis, the reprogramming of metabolism to suit physiological needs, and the regulation of the cell and organelles’ death. To maintain cellular homeostasis, mitochondria engage in communication with each other and with other organelles through various mechanisms, such as retrograde signaling, vesicular transport, signaling molecules, or direct interaction with the mitochondria-associated membrane (MAM) of the endoplasmic reticulum (ER). Collaboration with ER supports mitochondria in regulating Ca2+ transport, apoptosis, and phospholipids delivery. Additionally, cooperation with peroxisomes assists in fatty acid oxidation and the elimination of mtROS [5]. The formation of a mitochondrial network occurs through the processes of the fission and fusion of both the outer (OMM) and the inner (IMM) mitochondrial membranes. A proper balance between mitochondrial fusion and fission is vital for ensuring effective cell metabolism and adaptation to stress. The fusion of mitochondria facilitates the mixing of mtDNA and enhances MMP, mitochondrial respiration, and ATP production. Conversely, mitochondrial fission regulates apoptosis and mitophagy [6]. Furthermore, intact mitochondria possessing mtDNA are capable of transferring between cells via a mechanism termed horizontal mitochondrial transfer (HMT). The primary purpose of HMT is to share functional mitochondria with cells exhibiting aberrant mitochondrial functions. Consequently, cells receiving mitochondria restore mitochondrial respiration [3].
The ability of mitochondria to dynamically modulate and adapt cellular functions in response to stressful conditions is considered a pivotal factor in cancer development. The key difference in cancer cells’ mitochondria compared to those in healthy cells lies in the switching between the Warburg effect and OXPHOS, along with altered ROS production, disrupted calcium regulation, and aberrant interactions within the mitochondrial network [7]. This switch allows cancer cells to generate energy and biosynthetic precursors, enabling their rapid proliferation even in oxygen-deprived conditions. Alongside the Warburg effect, cancer cell mitochondria may undergo modifications in fatty acid oxidation and glutamine metabolism [8]. In cancer, mitochondria exhibit notable heterogeneity and dysregulation across various cellular processes, such as apoptosis, regulated necrosis, ferroptosis, and autophagic cell death (ACD). These characteristics significantly contribute to increasing the therapeutic resistance of patients [9].
The inhibition of mitochondrial function in malignant cells represents a promising strategy for selectively targeting malignant cells and reducing their adaptation to the tumor microenvironment, thereby impeding tumor progression. Mitochondria-targeted cancer therapy relies on distinctions between mitochondrial function in cancerous and healthy cells. One widely employed therapeutic approach involves inhibiting ATP production by suppressing either complex I or II in ETC. This generates significant energy stress in cancer cells, resulting in the initiation of autophagic cell death. Additionally, mitochondrial respiration can be inhibited by targeting specific enzymes in the TCA cycle, such as α-ketoglutarate dehydrogenase (KGDH) or pyruvate dehydrogenase (PDH) [10]. Another approach to targeting mitochondria in cancer involves promoting oxidative stress or inducing autophagy.

2. Autophagy

Originally, autophagy was defined as a cell survival mechanism that occurs under starvation or oxidative stress (hypoxia, ROS) conditions, wherein the cell degrades damaged or unnecessary organelles to generate nutrients. Recently, it was discovered that autophagy is involved in the quality control of organelles/proteins by degrading dysfunctional proteins/organelles. Autophagy is divided into selective and nonselective types. Nonselective autophagy is a process that transforms cellular energy by randomly removing organelles. In contrast, selective autophagy specifically targets damaged organelles, such as the ER, mitochondria, and peroxisomes, as well as cellular proteins. Nonselective autophagy is triggered under starvation or nutrient deprivation conditions, while selective autophagy is more prevalent in nutrient-rich environments [11].
It was recently reported that autophagic cell death (ACD) is likely an outcome of either extensive autophagy, prolonged stress, or inhibited apoptosis [12]. During ACD, nuclear condensation increases, caspase activity decreases, and cellular vacuoles are generated [13].
Selective autophagy is a multistage process that includes the following steps: initiation, elongation, maturation, fusion, and degradation. Initiation (Figure 2A) commences with the activation of the ULK (Unc-51-like kinase) complex. This complex controls the commencement of selective autophagy by forming a stable protein assembly that includes ULK1/2 (serine/threonine Unc-51 like kinase 1/2), FIP200 (also known as RB1CC1), ATG13, and ATG101. Once this complex is formed, it initializes and regulates the formation of the pre-autophagosomal structure (PAS) and recruits ATG9 vesicles [14], which facilitate PAS expansion and are often referred to as the “seeds” of autophagosome formation [15]. The activity of the ULK complex is regulated by leading regulators of nutrient stress sensors, namely, mechanistic target of rapamycin complex 1 (mTORC1) and AMP-activated protein kinase (AMPK) [16]. Specifically, mTORC1 suppresses the function of the ULK complex through the phosphorylation of ATG13 and ULK1 proteins [17]. Furthermore, mTORC1 modulates the location of transcription factor EB (TFEB) by directing it to lysosomes. The key regulator of the autophagy pathway, TFEB, orchestrates the transcriptional regulation of autophagy genes via binding to the CLEAR (coordinated lysosomal expression and regulation) element in the nucleus. The interaction between TFEB and CLEAR promotes autophagy and facilitates lysosomal biogenesis [17]. The initiation of autophagy requires either the inactivation of mTORC1 or the activation of AMPK. The activity of AMPK depends on the availability of cellular energy. When ATP is depleted, AMPK phosphorylates ULK1 and inhibits the activity of mTORC1 [18].
The complex ULK initializes the formation of the second autophagic complex, also known as the PI3K (phosphatidylinositol 3-kinase) complex. It is composed of VPS34 (Vacuolar protein sorting 34, a class III Pi3K), VPS15, Beclin1 (Bcl-2-interacting myosin-like coiled-coil), ATG14, p150, and NRBF2 (nuclear-receptor-binding factor 2). This complex is engaged in the extension of the phagophore (an isolated lipid double-membrane structure) and the production of phosphoinositide 3-phosphate (PI3P) on the autophagic membrane (Figure 2). The elongation of the phagophore (Figure 2B) is initiated by the production of PI3P and the recruitment of the scaffold protein WIPI2 (WD-repeat domain phosphoinositide-interacting 2). Subsequently, WIPI2 facilitates the tethering of the endoplasmic reticulum membrane and phagophore via ATG2 and supports the assembly of the ATG5-ATG12-ATG16L1 complex, along with ATG3 and ATG7. These proteins are essential for the expansion and formation of the phagophore membrane, as they provide a physical platform and facilitate the lipidation of ATG8 family proteins (LC3 (microtubule-associated protein 1 light chain 3) or GABARAP (GABA type A receptor-associated protein)) [19]. The ubiquitin-like proteins LC3 and GABARAP facilitate the attachment of the cargo adaptor/receptor to the lipid membrane (specifically to phosphatidylethanolamine (PE)), acting as a binding platform [17]. The protein ATG4, along with its partners ATG7 (ubiquitin-activating enzyme (E1)) and ATG3 (ubiquitin conjugation enzyme (E2)), facilitate the transformation of LC3 into its soluble form, LC3-I [20]. The ATG5-ATG12-ATG16L conjugation cascade is essential for attaching soluble LC3-I to PE in the lipid membrane. This attachment leads to the generation of lipidated LC3-II, which acts as a docking site for autophagy cargo adaptors/receptors. But on the outer membrane, LC3-II promotes autophagosome maturation (Figure 2C) and lysosome merging. Autophagic cargo adaptors in the autophagosomal membrane, including p62/SQSTM1 and NRB1, selectively identify and associate with ubiquitinated cargo material [13].
The autophagosome membrane is closed by the activity of ESCRT components (endosomal sorting complex required for transport)—CHMP2 (charged multivesicular body protein 2) and VPS4 [21]. The Fusion (Figure 2D) of mature autophagosome with lysosomes is initiated by SNARE (soluble N-ethylmaleimide-sensitive attachment protein receptors) superfamily proteins, including STX17, SNAP29, VAMP3, VAMP7, VAMP8, and YKT6 [14]. They are both found on the autophagosome and lysosome membranes [22]. The process of fusion between the autophagosome and lysosome is promoted by tethering factors, including the HOPS (homotypic fusion and protein sorting) complex (VPS11, VPS18, VPS33A, VPS39, and VPS41), PLEKHM1 (pleckstrin-homology-domain-containing family M member 1), and EPG5 [23]. The tethering factors interact with GTPases, including ARL8B and RAB7, located in the lysosome membrane. Additionally, they bind to ATG8 family proteins present on the outer membrane of autophagosomes [22]. After the autophagosome fuses with the lysosome, the autophagic cargo undergoes degradation (Figure 2E) mediated by lysosomal enzymes. This process causes the degradation of organelles and the release of metabolic components.

2.1. Selective Autophagy—Mitophagy

Selective autophagy is a process that selectively, i.e., according to specific receptors, targets and degrades old and dysfunctional organelles, including mitochondria (mitophagy), ribosomes (ribophagy), peroxisomes (pexophagy), and the endoplasmic reticulum (ER) (reticulophagy).
The primary purpose of mitophagy is to regulate the quality and quantity of mitochondria via the selective elimination of dysfunctional or damaged organelles [24], and it is important for embryonic development, apoptosis, and cell differentiation. The main role of mitophagy is to maintain mitochondrial quality control and homeostasis. When mitophagy is ineffective at removing damaged mitochondria, the accumulation of dysfunctional or deficient mitochondria increases, resulting in decreased OXPHOS performance and increased levels of ROS. This imbalance can disrupt metabolism, cause cellular damage, and eventually result in cell death. Improper mitophagy contributes to the development of various pathological states, such as cancer and metabolic, neurodegenerative, cardiovascular, and skeletal muscle diseases [25]. Mitophagy can be activated by nutrient limitation or mitochondrial dysfunction, among which the latter is caused by different types of stress factors, such as mtDNA damage, elevated levels of mtROS, misfolded mitochondrial proteins, hypoxia, and declined mitochondrial membrane potential (MMP) [26]. Mitophagy is divided into ubiquitin-dependent (PARKIN-dependent and -independent) and ubiquitin-independent (receptor-based) types.

2.1.1. Ubiquitin-Mediated Mitophagy

Ubiquitin-dependent mitophagy is a selective mechanism wherein mitochondria that are specifically marked with ubiquitin molecules are removed from the cell [26]. The initiation of PINK1 (PTEN-induced putative kinase 1)/Parkin-mediated mitophagy occurs in response to mitochondrial stress, including mitochondrial membrane depolarization or the extreme misfolding of mitochondrial proteins (Figure 3). Mitochondrial dysfunction leads to the accumulation of the serine/threonine PINK1 kinase at the OMM, whereas under physiological conditions, the levels of PINK1 in mitochondria are typically low. The durability of PINK1 protein at the OMM depends on the activity of TOMM7 (translocase of outer mitochondrial membrane 7), Hsp70 (heat shock protein), PHB2 (prohibitin 2), and PGAM5 (mitochondrial serine/threonine protein phosphatase) [27]. At a damaged OMM, PINK1 auto-activates, dimerizes, and induces cytosolic Parkin ligase (U3 ubiquitin ligase) activity via phosphorylation. The active Parkin ligase produces ubiquitin chains and tags OMM proteins, such as MFN2 (Mitofusin-2), VDAC-1 (voltage-dependent anion channel-1), and Miro (mitochondrial Rho GTPase), for mitophagy. Ubiquitinated OMM proteins provide a scaffold for the binding of autophagy adaptor proteins (also named autophagy receptor proteins). Besides Parkin ligase, other E3 ubiquitin ligases like GP78 (glycoprotein 78), MUL1 (mitochondrial E3 ubiquitin ligase 1), and SIAH1 (seven in absentia homolog 1) are also responsible for ubiquitinating mitochondrial proteins [24]. The tagged mitochondria are isolated from the healthy mitochondrial network through the activity of RHOT1 (Ras homolog family member T1) [28]. However, some studies have indicated that mitochondria are fragmented and separated from the ER before they can be tagged for mitophagy [29]. Additionally, mitochondrial proteins that are improperly tagged with ubiquitin chains are modified by deubiquitinase (DUB) enzymes [26].
In the next step, PINK1 phosphorylates ubiquitin chains that are attached to OMM proteins to enhance the mitophagy process. Finally, OMM proteins marked with ubiquitin are recognized by autophagy receptors/adaptors of ubiquitin-dependent mitophagy SQSTM1/p62 (sequestosome 1), OPTN (optineurin), CALCOCO2/NDP52 (calcium binding and coiled-coil domain 2), NBR1 (neighbor of BRCA1 gene 1 protein), AMBRA1, and TAX1BP1 (Tax1 binding protein 1) [25] (Table 1). At the N-terminal arm, these receptors possess an LC3-interacting region (LIR) that enables them to interact with the MAP1LC3/LC3 (microtubule-associated protein 1 light chain 3) and LC3 protein families, which are anchored in the phagophore membrane. The mitophagy receptors/adaptors can bind to the ubiquitinated OMM proteins through their ubiquitin-binding domain, thus forming mitophagy cargo. Once the mitophagic cargo binds to the mitophagy receptor, it triggers the formation of the mitophagosome. The mitophagosome, which encapsulates the marked mitochondrium, subsequently merges with lysosomes [30].

2.1.2. Ubiquitin-Independent Mitophagy

Ubiquitin-independent mitophagy is a process where damaged mitochondria are directed to the mitophagosome without relying on ubiquitin tagging. Instead, this process depends on the presence of mitophagy receptors/adaptors, as summarized in Table 1. These receptors/adaptors directly interact with MAP1LC3/LC3 and LC3/GABARAP, which are localized on the phagophore membrane [31]. Ubiquitin-independent mitophagy receptors/adaptors, such as BNIP3 (BCL2/adenovirus E1B 19 kDa protein-interacting protein 3), BNIP3L/NIX, FUNDC1 (FUN14 Domain-Containing 1), BCL2L13 (BCL2-Like 13), FKBP8 (FKBP Prolyl Isomerase 8), and AMBRA1 (the activating molecule in BECLIN1-regulated autophagy 1), are directly located on the mitochondria membrane. The expression levels of these receptors are regulated by transcriptional and post-transcriptional modifications [26]. Besides protein mitophagic receptors, mitochondria also exploit lipid-based receptors like cardiolipin (CL) and ceramide [30] (Table 1). CL is typically found in the IMM, where it supports the activity of ETC complexes I, III, and IV and ATP synthase. However, under mitochondrial stress, CL can translocate to the OMM [32].
Table 1. Mitophagy receptors.
Table 1. Mitophagy receptors.
Type of Mitophagy ReceptorsKey PropertiesRegulators (Positive [+]/Negative [-])Ubiquitin Dependent (+/-)Location
Protein receptors
SQSTM/p62Oxidative-stress-inducible protein;
regulator of Nrf2 factor, NF-kB [33]
ULK1 [+];
CK2 [+];
TBK1 [+];
mTORC1 [+];
+Cytoplasm
CALCOCO2/NDP52Promotor of phagophore biogenesis [34]TANK binding kinase 1 (TBK1), [+];+Cytoplasm
OPTN (Optineurin)Promotor of phagophore biogenesis [35]TNF-α [+];
Interferons [+];
+Cytoplasm
NBR1Oxidative-stress-inducible protein;
cooperates with p62 [35];
-+Cytoplasm
TAX1BP1Eliminator of excessive ROS [36,37]-+Cytoplasm
BNIP3BCL2 apoptosis regulator protein (pro-apoptotic);
promotes hypoxia-induced autophagy;
regulator of mTOR [32];
FOXO3 (starvation, [+]);
HIF-1 [+];
MA-5 [+];
-/+OMM
BNIP3L/NIXStress sensor;
inducer of cell death and mitophagy (ischemia, erythrocyte development [38])
HIF1A (hypoxia, [+]);
GTPase RHEB (phosphorylation, [+]);
PKA (phosphorylation, [-]);
-/+OMM
FUNDC1Involved in hypoxia-induced mitophagy; dephosphorylated form activates fission and mitophagy;
connects with fission (DNM1L, DRP1)/fusion (OPA1) proteins;
regulator of proteostasis [39]
SRC (kinase, [-]);
CK2 (kinase, [-]);
ULK1(kinase, [+]);
PGAM5 (phosphatase, [+]);
MARCH5 (ubiquitin ligase E3, [-]);
MIR137 [-];
-OMM
BCL2L13Promotor of mitochondrial fragmentation;
regulator of fission;
maintainer of mitochondrial quality;
inducer of apoptosis [32,40]
Unknown;-OMM
FKBP8Anti-apoptotic protein;
regulator of mTORC1;
exerts peptidylprolyl isomerase activity [32,41]
RHEB [-];-OMM
AMBRA1Phagophore activator;
along with BECN1, it is an activator of PtdIns3k (phosphatidylinositol 3-kinase);
interacts with HUWE1 (E3 ubiquitin ligase) and thus induces ubiquitin-independent mitophagy [32,42]
NFKBI [+];
BCL2 family proteins [-];
MCL1 [-];
CHUK [+];
GSK3B [+];
-/+OMM
PHB2 (prohibitin 2)Regulator of mitochondrial proteases;
maintainer of mitochondrial genome;
promotor of PINK1-PARKIN-dependent mitophagy;
along with AURKA, it is a kinase promotor of PARKIN-independent mitophagy [32]
AURKA [+]-/+OMM/IMM
Lipid receptors
CL (cardiolipin)Maintainer of electron transport chain function;
involved in apoptosis;
cooperates with BECN1 (mitophagy) and DNM1L (mitochondrial division) [43]
CRLS1 (cardiolipin synthase 1, [+]);
PLSCR3 ((phospholipid scramblase 3), transport CL to OMM [+]);
NDPK-D (kinase, [+])
PRRT2/PKC [+];
SNCA[+];
-OMM/IMM
CeramideCeramide-induced mitophagy [32]CERS1(ceramide synthase 1, [+]);
DNM1L [+];
-OMM

2.1.3. Chaperone-Mediated Autophagy

Chaperone-mediated autophagy (CMA) is a distinctive type of selective autophagy responsible for the lysosomal degradation of misfolded or damaged proteins. In contrast to ubiquitin-dependent/independent autophagy, during the CMA process, proteins are not enclosed in the autophagosome; instead, they are directly targeted by the chaperone Hsc70 (heat shock cognate protein 70) in the cytosol. The mechanism of CMA is categorized into distinct stages (Figure 4): 1. substrate recognition; 2. the binding of the substrate to the lysosomal membrane; 3. the multimerization of translocation complex; 4. substrate unfolding; 5. substrate translocation and degradation in the lysosomal lumen; and 6. dissociation of the translocation complex. Hsc70 recognizes CMA’s substrates by binding to the KFERQ motif in target proteins [44]. The function of Hsc70 is supported by various co-chaperons, including Hsp40 (heat shock protein 40), CHIP (carboxyl terminus of hsc70-interacting protein), BAG1 (Bcl2-associated athano-gene 1 protein), and HOP (hsp70-hsp90 organizing protein) [45]. In addition to recognizing substrates, the complex HOP is actively engaged in protein stabilization and unfolding [46]. After the substrate recognition step, Hsc70, along with the target protein, binds to the lysosomal receptor LAMP-2A (lysosome-associated membrane protein type 2A) [47]. LAMP-2A forms a dynamic translocation channel via multimerization and interaction with GFAP (glial fibrillary acidic protein), which is responsible for maintaining the structure of the multimeric LAMP-2A complex in the lysosomal membrane. Consequently, the CMA substrate is unfolded and transported into the lysosomal lumen, where it undergoes immediate degradation by lysosomal proteases [48]. After CMA substrate translocation, the interaction between GFAP and EF1α (elongation factor 1-α) is disrupted by GTP (guanosine triphosphate). This disturbance results in the release of EF1α to phosphorylated GFAP, which, in turn, facilitates the disassembly of LAMP-2A into its individual monomers [49]. The phosphorylation of GFAP on the lysosomal membrane supports the dissociation of GFAP from the LAMP-2A multimeric complex through the dimerization of phosphorylated GFAP with unmodified GFAP. The level of GFAP phosphorylation is controlled by the activity of AKT1 (AKT serine/threonine kinase 1), which becomes active when phosphorylated by mTORC2 (mammalian target of rapamycin complex 2) and inactive when dephosphorylated by PHLPP1 (PH domain and leucine-rich repeat protein phosphatase 1) [45].
The transport of LAMP-2A to the lysosomal surface represents a crucial stage in CMA. Moreover, the level of LAMP-2A directly affects CMA activity. The translocation of LAMP-2A to lysosomal membrane is determined by the involvement of Rab-7A (Ras-related protein Rab-7A), Rab-11A, DYNC1LI2 (Dynein Cytoplasmic 1 Light Intermediate Chain 2), and RILP (Rab-interacting lysosomal protein) [45]. CMA activity is regulated by the amounts of the key CMA proteins (Hsc70, GFAP, and LAMP-2A), as well as by the kinase AKT1 and circadian cycle regulators, such as BMAL1 (basic helix–loop–helix ARNT-like 1), PER1/2 (period circadian protein homolog 1/2), or RARα (retinoic acid receptor alpha) [50]. Increased CMA activity is usually related to lipotoxicity (cytosolic lipid overload), starvation, hypoxia, and mitochondrial or ER stress. The elevated CMA activity is affected by the transcriptional upregulation of LAMP-2A (mostly by NFE2L2 (NFE2-Like BZIP transcription factor 2), Nrf2, and NFAT1 (nuclear factor of activated T cells) [51].
The CMA pathway supports a range of cellular processes, including the maintenance of protein quality, the regulation of the cell cycle, and the modulation of immune responses. Especially, CMA contributes to the quality control of mitochondrial proteins, such as COX IV (cytochrome c oxidase subunit 4), Tom20 (mitochondrial import receptor subunit TOM20 homolog), DJ-1 (nucleic acid deglycase), Parkin, MFN2, ATP5F1A (ATP synthase F1 subunit alpha), and VDAC1, which modulate mitochondrial function and protect the integrity of mitochondria [45].

3. Role of Autophagy in Tumorigenesis

In cancer, the autophagy process serves a dual and complex function, acting either as a suppressor or initiator of tumorigenesis, depending on the type of tumor and the stage of disease advancement. On the one hand, autophagy might promote cancer suppression by abolishing oxidative stress, inhibiting cellular transformation, preventing the accumulation of damaged cellular components, and maintaining cell homeostasis [11]. Transcription factors like p53, death-associated protein kinase (DAPK), tuberous sclerosis proteins 1 and 2 (TSC1/2), and phosphatase and tensin homolog (PTEN) are essential contributors to the tumor-suppressive function of autophagy [11].
On the other hand, autophagy can support tumor development and metastasis by providing nutrients to cancer cells [52], allowing cancer cells to survive under metabolic stress. Tumor oncogenes, like RAS and BRAF, promote tumor growth by upregulating the process of autophagy [11]. In developing novel cancer therapies or enhancing the efficacy of chemotherapy, comprehending the involvement of autophagy at all phases of tumor formation is crucial. This knowledge contributes to the advancement of precision therapies that can effectively modulate autophagy [53].
The involvement of the autophagy activator Beclin-1 in tumorigenesis is linked to its phosphorylation level and interactions with various partner proteins [54]. DAPK is a key regulator protein that contributes to the phosphorylation status of Beclin-1 and the formation of the autophagosome [55]. Autophagy inhibition is achieved through the interaction of Beclin-1 with its inhibitor, BCL2. In contrast, the interaction of Beclin-1 with AMBRA1, UVRAG (UV-radiation-resistance-associated gene protein), and BIF1 (Bax interacting factor 1) disrupts the binding of Beclin-1 with BCL2, which subsequently leads to autophagy initiation [11]. In solid tumors, a decrease in Beclin-1 expression is often observed and correlated with metastasis development. On other hand, in colorectal cancers and gastric carcinomas, Beclin-1 expression is elevated, resulting in enhanced autophagy. This observation has led to the suggestion that Beclin-1 promotes cell proliferation and tumorigenesis under stress conditions like hypoxia and starvation [56]. Furthermore, Beclin-1 cooperates with another autophagy regulator, PTEN, which negatively controls the activity of the PI3K/AKT pathway. A reduced expression of PTEN and Beclin-1 has been observed in chemoresistant ovarian cancers [57]. This discovery indicates that PTEN and Beclin-1 play roles in regulating autophagy in ovarian cancer, and their decreased expression levels contribute to reducing autophagy activity and increasing chemoresistance [58].
The modulation of autophagy by the major transcription factor p53 is determined by its subcellular localization, which determines whether cancer cells will survive or die. Nuclear p53 facilitates autophagy activation by promoting the transcription of autophagy-related genes, while cytoplasmic p53 suppresses autophagy by inhibiting autophagy regulators [11]. Upon encountering cellular stress, nuclear p53 initiates autophagy through inducing the expression of DRAM (damage-regulated autophagy modulator), DAPK, and ULK1/2 [59]. Moreover, p53, through the promotion of autophagy, can increase the proliferation and resistance to chemotherapy of malignant liposarcoma cells [60].
The accumulation of autophagy cargo receptor p62 (also known as SQSTM1) is a notable feature observed in many cancers, and it is correlated with poor clinical outcomes among hepatocellular carcinoma patients [61] and increased metastasis occurrence in nasopharyngeal carcinoma. The accumulation of p62 supports tumor development and cancer cell growth via the activation of Nrf2, mTORC1, TRAF6 (tumor-necrosis-factor-receptor-associated factor 6), TNFa (tumor necrosis factor α), and NF-kB (nuclear factor kappa-light-chain-enhancer of activated B cells) [54]. Consequently, an increased presence of p62 in tumors implies its involvement in promoting the development and progression of cancer. Therefore, inhibiting p62 during autophagy holds promise as a strategy for treating cancer [62].
Among mitophagy regulators, it has been observed that the tumor suppression Parkin protein encoded by the PARK2 gene is frequently deleted in colorectal, lung, breast, glioblastoma, and melanoma cancers. The absence of Parkin E3 ubiquitin ligase leads to the accumulation of dysfunctional mitochondria, resulting in elevated levels of glycolysis and ROS, reduced OXPHOS, and increased resistance to apoptosis in cells [22].
The mitochondrial kinase PINK1 is implicated in tumor suppression due to its role in detecting and removing damaged mitochondria. In certain cancers, there is a noted decrease in PINK1 expression (such as sarcomas, neuroblastomas, and leukemias), while in others, there is an increase (such as lung and breast cancers and carcinoma) [63].
Autophagy has been demonstrated to play a pivotal role in promoting drug resistance in chemotherapy-treated cancer cells. It also regulates cell migration and metastasis by affecting the interactions between cancer and healthy cells [11]. Despite the complex role of autophagy in cancer, inhibiting this process can make cancer cells more sensitive to chemotherapy and enhance cell death [24].

4. Modulation of Mitochondria and Autophagy Exhibits Promise in Cancer Treatment

Cancer cells frequently demonstrate the capacity to reprogram their metabolism, allowing them to survive and thrive in challenging conditions, including those generated by chemotherapy [6]. Targeting metabolic plasticity in cancer has been shown to significantly enhance the effectiveness of cancer therapies [64]. A recent study has shown that decreased expression of mitochondrial fission regulator protein DRP1 affects metabolic plasticity and reduces the survival of breast-cancer--induced brain metastases [65].
Mitochondria primarily drive the bioenergetic adaptation that facilitates tumor growth. It is well established that mitochondrial reprogramming promotes tumor growth and cancer cell proliferation via retrograde signaling involving ROS, Ca2+, ATP, or TCA intermediates, which can modify gene expression [6]. It has recently been identified that the knockout of MTCH1 (mitochondrial carrier 1) in cervical cancer (in HeLa cells) activates retrograde signaling through the FOXO1-GPX4 axis, leading to increased accumulation of mtROS and ferroptosis. The study in question proposes the use of MTCH1 as a candidate target for retrograde signaling pathways in cervical cancer [66].
Modifying mitochondrial metabolism (Table 2 and Table 3) offers a strategy for reshaping cancer cell metabolism and combatting drug resistance. Current strategies for targeting mitochondrial function include inhibiting ETC, modulating redox balance, affecting Ca2+ homeostasis or the apoptotic pathway, and disrupting the TCA cycle. Disruption of ETC can be achieved through the inhibition of ETC complexes I–V. The effectiveness of several complex I inhibitors is limited by issues like poor potency, toxicity, or unintended off-target actions, such as targeting rotenone and BAY 87-2243 [67]. While some complex I inhibitors have failed to translate successfully to preclinical studies, others are currently being tested in clinical trials (Table 3). Phenformin, an antidiabetic drug, inhibits complex I and disrupts the redox balance (NADH/NAD+) and energetic state (AMP/ATP), resulting in AMPK activation [68]. Atovaquone, used as an antimalarial drug, interferes with complex III, reducing oxygen consumption and subsequently decreasing tumor hypoxia in individuals with non-small-cell lung cancer [69].
Through the excessive activation of mitochondrial respiration, the loss of MMP can cause a breakdown in mitochondrial metabolism and ATP production, resulting in cell death. A newly identified complex IV activator, the fungal natural product ophiobolin A (OPA), significantly decreases NCI-H1703 cells’ proliferation [70]. Bedaquiline interferes with ATP production by targeting complex V, which lowers DA-MB-231 breast cancer cell proliferation, enhances ovarian cancer cells’ sensitivity to cisplatin, and helped prevent metastasis in a xenograft model [71,72].
The disruption of mitochondrial metabolism through TCA cycle inhibition using devimistat (CPI-613), PDH, and KGDH inhibitors is being tested in patients with advanced biliary tract cancer in vitro and in a Phase Ib clinical trial, in combination with gemcitabine and cisplatin [73]. Current clinical trials are investigating devimistat (CPI-613) as a monotherapy for refractory Burkitt’s lymphoma/leukemia (NCT03793140) and in combination with chemotherapies for advanced pancreatic cancer (NCT03699319) and with chemoradiation for pancreatic adenocarcinoma (NCT05325281) (Table 3).
Inhibiting the apoptosis regulator BCL-2 (B-cell lymphoma-2) is one of the most extensively investigated approaches for triggering the mitochondrial apoptotic pathway in cancer therapy. Venetoclax (ABT199) was the first FDA-approved BH3-mimetic drug, originally indicated for the treatment of chronic lymphocytic leukemia [74]. Subsequent studies revealed its effectiveness in treating acute myeloid leukemia. It is commonly administered either as monotherapy or in combination with monoclonal antibodies, such as rituximab, or alongside chemotherapy. The molecular action of ventoclax is driven by the activation of BAK and BAX proteins, leading to the permeabilization of the mitochondrial outer membrane and inducing apoptosis [75]. Ongoing preclinical and clinical (Table 3) studies are investigating the efficacy and safety of venetoclax, both as a monotherapy and in combination with other anti-cancer drugs, in treating breast cancer (NCT03900884), myeloma (NCT05455294), lung cancer (NCT04274907), prostate cancer (NCT03751436), and solid tumors [76].
Alongside its mitochondrial function, autophagy helps facilitate cancer plasticity under nutrient deprivation conditions. Inducing autophagy can potentially prevent tumor development and growth in the early stages [77]. However, in advanced stages of cancer, autophagy supports tumor growth and metastasis by supplying the necessary substrates for cell proliferation [78]. The impact of autophagy activation on tumorigenesis is influenced by the degree of autophagy. A basic level of autophagy facilitates tumor growth and the development of drug resistance, while a high level of autophagy results in excessive removal of cellular components, leading to the cell death [79]. Relying only on autophagy targeting is insufficient for cancer treatment. Some studies have demonstrated that combining autophagy inhibitors or activators with chemotherapy, radiotherapy, or immunotherapy is a more effective treatment strategy [77]. By inhibiting autophagy, the susceptibility of cancer cells to chemotherapeutic drugs and treatments that induce apoptosis is heightened [78]. Table 2 and Table 3 present a range of autophagy inhibitors and activators that are being investigated in preclinical studies and ongoing clinical trials. As FDA-approved antimalarial drugs, chloroquine (CQ) and hydroxychloroquine (HCQ) are some of the most prominent autophagy inhibitors being explored in cancer therapies based on autophagy mechanisms. Through their accumulation in lysosomes and inhibition of lysosomal acidification, they interrupt the autophagosome’s fusion with lysosome and change signaling and transcriptional activity [80]. The antitumor effect of HCQ was increased when used in combination with monoclonal antibodies, namely, anti-PD1 (nivolumab), in advanced melanoma (Table 3, NCT04464759); inhibitor of MEK1/2 (trametinib) in pancreatic cancer (NCT03825289); a Ras/Raf/MEK/ERK signaling pathway inhibitor (sorafenib) in hepatocellular cancer (NCT03037437); and an Akt inhibitor (MK2206) in solid tumors (NCT01480154). CQ and HCQ, in addition to changing lysosomal pH, also impact the pH values of Golgi vesicles and endosomes [81]. CQ derivatives are also known to target and suppress the function of PPT1 (palmitoyl-protein thioesterase 1) in melanoma cells [82]. The precise mechanisms of action of CQ and HCQ remain poorly understood and extend beyond their effects on autophagy. It has been observed that CQ activates the p53 pathway, resulting in apoptosis in glioma cells [83]. In clinical trials, adverse events associated with CQ and HCQ, including nausea, diarrhea, vomiting, myopathy, and cardiotoxic effects, are frequently reported [84].
Conversely, stimulating autophagy in cancer treatment can effectively impede cell proliferation and inhibit tumor growth. Among the leading autophagy inducers examined in clinical trials are the FDA-approved mTOR inhibitors rapamycin (sirolimus) and its analogue temsirolimus (CCI-779) and everolimus, which are FDA-approved for the treatment of malignancies and the prevention of transplant rejection [85]. Everolimus and temsirolimus are FDA-approved drugs used to treat advanced renal cell carcinoma. Ongoing research, including preclinical and clinical trials, is exploring their efficacy as a monotherapy and in combination with other therapies (CQ, radiation, and THZ1 (cyclin-dependent kinase 7 inhibitor)) across different cancer types (bladder, colorectal, and prostate cancers and carcinoma) in vitro and in vivo. Research is focusing on everolimus, both as a standalone treatment and in combination with CQ, HCQ, AKT inhibitors 1 and 2, arsenic trioxide, or propachlor, in breast, renal, and ovarian cancer cells; various carcinoma cell lines; and mouse models. Investigations have been conducted on rapamycin in cell lines of pancreatic, cervical, and lung carcinomas; melanomas; osteosarcomas; and liposarcomas, as well as in xenograft mice models [86]. Clinical trials have explored the use of rapamycin in combination with chloroquine (CQ) and hydroxychloroquine (HCQ). Current ongoing research includes a Phase I trial assessing rapamycin’s combination with vorinostat for treating advanced cancers (NCT01087554), as well as a Phase I/II study evaluating its use with HCQ, metformin, dasatinib, or nelfinavir in treating relapsed prostate cancer and other solid tumors (NCT05036226).
Recently, the natural polyphenol epigallocatechin gallate (EGCG) deriving from green tea leaves has garnered interest for its ability to induce cell death through autophagy and apoptosis. EGCG is known to alter multiple cellular pathways in different types of cancer. Among the most notable pathways it effects is the RAS-Raf-MEK-ERK axis, where its action leads to the inhibition of cell proliferation and the induction of apoptosis in pancreatic cancer [87,88]. Moreover, EGCG attenuated the PTEN/AKT/mTOR pathway in ovarian cancer cell lines and mouse models [89]. In bladder cancer cell lines (5634 and T24), EGCG induces apoptosis through the regulation of autophagy in a dose-dependent manner. EGCG upregulates the expression of caspase 3, caspase 9, and Bax, and it also decreases BCL2 expression. Concurrently, EGCG stimulates the formation of autophagosomes and elevates the expression of the autophagy-related protein LC3II [90].
Table 2. Synthetic inducers and inhibitors of mitochondrial function and autophagy.
Table 2. Synthetic inducers and inhibitors of mitochondrial function and autophagy.
CompoundMechanismRef.
Mitochondria inhibitors
RotenoneInhibits complex I in gastric cancer cells (MKN-1, MKN-B, and MKN-74)[91]
BAY 87-2243Inhibited complex I in melanoma tumor xenograft (SK-MEL-28 and G-361 cells) and in vitro (A-375, G-361, SK-MEL-5, SK-MEL-28 cells)[92]
MitoVES (mitochondrially targeted vitamin E succinate)Inhibits complex II in colon cancer (HCT116 cells in vitro and in BALB/c nu/nu mice)[93]
Atovaquone (ATO)Inhibits complex III in breast cancer cells (MCF7)[94]
Antimycin AInhibits complex III in acute myeloid leukemia U937 and HL-60 cells[95]
VLX600Acts as an OXPHOS inhibitor (inhibiting complexes I, II, IV) in colon cancer 3-D microtissues;
Acts as an iron chelator;
Induces autophagy-dependent cell death and mitophagy through BNIP3/BNIP3L activation in glioblastoma cells (U251, MZ54, NCH644) and organotypic brain slice cultures
[96]
BTB06584Inhibits ATP synthase in non-small-cell lung cancer cells (A549)[97]
OligomycinInhibits ATP synthase in breast metastasis cells (MDA-MB-231)[98]
Mitochondrial activators
Ophinobolin A (OPA)Activates complex IV in lung squamous cell carcinoma (NCI-H1703)[70]
Autophagy inhibitors
VitexinInhibits LC3-associated autophagosome formation
Decreases p-ERK1/2 levels in hepatocellular carcinoma (SK-Hep1 and Hepa1-6 cells)
[99]
RA-XIIInhibits AMPK pathway;
Induces apoptosis through the suppression of autophagy in liver cancer (HepG2 cells);
[100]
3-methyladenine (3-MA)Inhibits LC3-I/II and class III PI3K complex;
Increases p62 levels in colon cancer cells (LOVO and SW480)
[101]
Astragaloside IIDecreases the levels of LC3-II and Beclin-1 in hepatic cancer cell lines (Bel-7402 and Bel-7402/FU)[102]
Bafilomycin A1Increases LC3 levels;
Promotes the association of Beclin-1 and Bcl-2;
Blocks V-ATPase in B-cell acute lymphoblastic leukemia (697 cells)
[103]
SAR405Suppresses VPS34 and PIK3C3 kinase in carcinoma cell line H1299[104]
ClarithromycinUpregulates LC3-II in primary colorectal cancer surgical samples;
Induces autophagosome formation and decreases p62/SQSTM1 levels in colorectal cancer (HCT116 cells)
[105]
4-acetylantroquinonol BInhibits ATG5 in ovarian cell line ES-2[106]
Autophagy activators
SalinomycinIncreases LC3B-II levels and vacuolization in melanoma SK-Mel-19 cells[107]
EsomeprazoleInhibits V-ATPase in lung cancer (A549/Taxol cells)[108]
NiraparibInhibits AKT/mTOR pathway and increases ROS levels;
Activates ERK1/2 and increases LC3-II in hepatocellular carcinoma (Huh7 and HepG2)
[109]
MatrineLeads to the accumulation of LC3-II;
Reduces the levels of total AKT and mTOR in gastric cancer (SGC-7901)
[110]
Bisindolylmaleimide
(BMA-155Cl)
Increases Beclin-1, NF-kB, and p65 levels in hepatocarcinoma HepG-2 cells[111]
Resveratrol
Spermidine
Activates SIRT1 in colon cancer HCT 116 cells[112]
BicyclolInhibits p-AKT and pERK;
Decreases the levels of p-mTOR (Ser2448);
Increases LC3-II levels in hepatocellular carcinoma cell HepG2
[113]
GlycochenodeoxycholateIncreases LC3-II and pAMPK levels;
Decreases p63 and pmTOR levels in hepatocellular carcinoma (SMMC7721 and Huh7 cells)
[114]
LapatinibIncreases LC3-II, ATG7, Beclin-1, and ATG5 levels in acute myeloblastic leukemia (U937 cells)[115]
LycorineDecreases TCRP1 (tongue-cancer-resistance-associated protein 1) and p-AKT levels, increases LC3 II levels, and decreases Beclin-1 levels in hepatocellular carcinoma (HepG2 and SMMC-7721)[116]
Baicalein/baicalinActivates ATG5, ATG7, ATG12, Beclin-1, and LC3-IIB proteins in bladder cancer T24 cells[117]
Epigallocatechin gallate (EGCG)Elevates levels of LC3-II;
Increases number of autophagosomes in cepatocellular carcinoma cell line HepG2
[118]
Table 3. Investigated drugs targeting autophagy and mitochondrial pathways in ongoing cancer clinical trials.
Table 3. Investigated drugs targeting autophagy and mitochondrial pathways in ongoing cancer clinical trials.
TitleDrugTargetCancer TypeClinicalTrials.gov IDRef.
Targeted apoptotic pathway
A Phase I clinical trial evaluating the tolerance and pharmacokinetics of TQB3909 tablets in patients with relapsed or refractory advanced malignant tumors (China)TQB3909BCL-2 inhibitorPhase I: advanced malignant tumorsNCT04975204[119]
A Phase Ib/ii study to investigate the safety, tolerance and pharmacokinetics of TQB3909 with HR-positive, HER2-negative advanced breast cancer (China)Phase Ib/II: advanced breast cancerNCT05775575
A Phase Ib/II clinical trial on the safety and efficacy of TQB3909 tablets in patients with recurrent or refractory CLL/SLL (China)Phase Ib/II: chronic lymphocytic leukemia/small lymphocytic lymphomaNCT05959694
A Phase 1a/1b open-label dose escalation and expansion study of Bcl-2 inhibitor BGB-11417 in patients with mature B-cell malignancies (United States)Sonrotoclax (BGB-11417) or Sontroclax in combination with zanubrutinib and obinutuzumabBCL-2 inhibitorPhase Ia/Ib: mature B-cell malignanciesNCT04277637[120]
A Phase I study of venetoclax in combination with cytotoxic chemotherapy, including calaspargase pegol, for children, adolescents and young adults with high-risk hematologic malignancies (United States)Venetoclax
in combination with azacitidine
cytarabine, methotrexate, hydrocortisone,
leucovorin,
dexamethasone,
vincristine,
doxorubicin,
dexrazoxane,
calaspargase, pegol,
erwinia asparaginase
Acute myeloid leukemia/chronic lymphocytic leukemia
Phase I: hematologic malignancies
FDA-approved
NCT05292664
A Phase 1 study of triplet therapy with navitoclax, venetoclax, and decitabine for high-risk myeloid malignancies (United States)Venetoclax in combination with navitoclax and decitabinePhase I: myeloid malignancyNCT05455294
Phase 1 study of venetoclax, a BCL2 antagonist, for patients with blastic plasmacytoid dendritic cell neoplasm (BPDCN) (United States)VenetoclaxPhase I: dendritic cell neoplasmNCT03485547
A Phase 1b study of palbociclib, letrozole and venetoclax in ER and BCL-2 positive locally advanced or metastatic breast cancer (Australia)Venetoclax in combination with palbociclib and letrozolePhase Ib: breast cancerNCT03900884
Phase Ib/II study of enzalutamide with venetoclax (ABT-199) in patients with metastatic castrate resistant prostate cancer (mCRPC) (United States)Venetoclax in combination with enzalutamidePhase Ib/II: prostate cancerNCT03751436
A Phase 1b study of venetoclax in combination with pembrolizumab in subjects with previously untreated NSCLC whose tumors have high PD-L1 expression (United States)Venetoclax in combination with pembrolizumabPhase Ib: non-small-cell lung cancer
A Phase 1 study of oral LOXO-338, a selective BCL-2 inhibitor, in patients with advanced hematologic malignancies (United States)LOXO-338Phase I: advanced hematologic malignanciesNCT05024045[121]
A Phase 1 study investigating the safety, tolerability, pharmacokinetics, pharmacodynamics, and preliminary antitumor activity of second mitochondrial-derived activator of caspases mimetic BGB-24714 as monotherapy and with combination therapies in patients with solid tumorsBGB-24714 or BGB-24714 in combination with paclitaxel, carboplatin, docetaxelSMAC (mitochondrial-derived activator of caspases) mimetic and inhibitor of apoptosis proteinPhase I: solid tumorsNCT05381909[122]
A randomized, double-blind placebo-controlled, Phase 3 study of Debio 1143 in combination with platinum-based chemotherapy and standard fractionation intensity-modulated radiotherapy in patients with locally advanced squamous cell carcinoma of the head and neck, suitable for definitive chemoradiotherapy (TrilynX) (United States)Xevinapant (Debio 1143) in combination with chemotherapySecond mitochondrial-derived activator of caspasesPhase III: advanced squamous cell carcinoma of the head and neckNCT04459715[123]
A Phase 1b study of the OxPhos inhibitor ME-344 combined with bevacizumab in previously treated metastatic colorectal cancer (United States)Me-344 combined with bevacizumabOxPhos pathway inhibitor;
purine biosynthesis inhibitor
Phase Ib: previously treated metastatic colorectal cancerNCT05824559[124]
A Phase 1 open-label, dose-escalation, safety, pharmacokinetic, and pharmacodynamic study of Minnelide™ capsules given alone or in combination with paclitaxel in patients with advanced gastric cancer (Republic of Korea)Minnelide (triptolide)SIRT3 regulator;
c-myc down-regulator
Phase I: gastric cancerNCT05566834[125]
A Phase II trial of the superenhancer inhibitor minnelide in advanced refractory adenosquamous carcinoma of the pancreas (ASCP) (United States) Phase II: advanced refractory adenosquamous carcinoma of the pancreasNCT04896073
A Phase 1b open-label, dose-escalation, safety, and pharmacodynamic study of Minnelide™ capsules given in combination with osimertinib in patients with EGFR mutated NSCLC (United States)Minnelide in combination with osimertinib Phase Ib: lung cancerNCT05166616
A Phase 1b, open-label, safety, pharmacokinetic, and pharmacodynamic study of an anti-super-enhancer Minnelide given along with abraxane plus gemcitabine in patients with metastatic adenocarcinoma of the pancreas (Republic of Korea)Minnelide in combination with Abraxane and gemcitabine Phase Ib: metastatic adenocarcinoma of the pancreasNCT05557851
A Phase 1, multi-center, open-label, dose-escalation, safety, pharmacokinetic, and pharmacodynamic study of minnelide™ capsules given alone or in combination with protein-bound paclitaxel in patients with advanced solid tumors (United States)Minnelide in combination with paclitaxel Phase I: advanced solid tumorsNCT03129139
Targeting mitochondrial metabolism
A Phase I trial targeting mitochondrial metabolism with papaverine in combination with chemoradiation for stage II-III non-small cell lung cancer (United States)Papaverine in combination with chemoradiation and immunotherapyMitochondrial Complex I inhibitorPhase I: Stage II–III non-small-cell lung cancerNCT05136846[126]
Phase I trial of phenformin with patients with combination BRAF inhibitor/MEK inhibitor in patients with BRAFV600E/K-mutated melanoma (United States)Phenformin in combination with dabrafenib and phenforminMitochondrial complex I inhibitorPhase I: melanomaNCT03026517[68]
Phase II clinical trial repurposing atovaquone for the treatment of platinum-resistant ovarian cancer (United States)Atovaquone (Mepron) Mitochondrial complex III inhibitorPhase II: ovarian cancerNCT05998135[127]
A Trial of atovaquone (Mepron®) combined with conventional chemotherapy for de novo acute myeloid leukemia (AML) adolescents, and young adults (ATACC AML) (United States)Atovaquone in combination with conventional chemotherapy (cytarabine, daunorubicin, etoposide, gemtuzumab ozogamicin)Mitochondrial complex III inhibitorPhase I: acute myeloid leukemiaNCT03568994
A Phase I study of oral carboxyamidotriazole orotate (CTO) titrated as a single agent in patients with advanced or metastatic solid tumors and titrated in combination therapy with temodar® for patients with glioblastoma and other recurrent malignant gliomas or in combination with temodar® and radiation therapy for patients with newly diagnosed glioblastoma and malignant gliomas (United States)Carboxyamidotriazole orotate
or
in combination with temodar/radiation therapy
Non-voltage-dependent calcium channel inhibitorPhase I: advanced or metastatic solid tumors
Phase I: glioblastoma, malignant gliomas
NCT01107522[128]
A Phase II clinical trial of CPI-613 in patients with relapsed or refractory Burkitt lymphoma/leukemia or high-grade B-cell lymphoma with rearrangements of MYC and BCL2 and/or BCL6 (United States)Devimistat (CPI-613)Pyruvate dehydrogenase and α-ketoglutarate dehydrogenase/2-oxoglutarate dehydrogenasePhase II: relapsed/refractory Burkitt’s Lymphoma/leukemia or high-grade B-cell lymphoma with rearrangements of MYC and BCL2 and/or BCL6NCT03793140[129]
A Phase II/I open-label clinical trial of CPI-613 in combination with modified FOLFIRINOX in patients with locally advanced pancreatic cancer and good performance status (United States)Devimistat in combination with modified FOLFIRINOX (oxaliplatin, irinotecan, 5-flurouracil, and folinic acid)Phase II/I: advanced pancreatic cancerNCT03699319
A Phase I dose-escalation study of CPI-613 (Devimistat) in combination with chemoradiation in patients with pancreatic adenocarcinoma (United States)Devimistat in combination with chemoradiationPhase I: pancreatic adenocarcinomaNCT05325281
Phase II open-label multi-cohort study evaluating CPI-613 (Devimistat) in combination with hydroxychloroquine and 5-fluorouracil or gemcitabine in patients with advanced chemorefractory colorectal, pancreatic, or other solid cancers (United States)Devimistat in combination with hydroxychloroquine 5-fluorouracil or gemcitabinePhase II: advanced chemorefractory colorectal, pancreatic or solid tumorsNCT05733000
Phase II study of AG-120 in people with IDH1 mutant chondrosarcoma (United States)Ivosidenib (AG-120)IDH1 inhibitorAcute myeloid leukemia
Phase II: Chondrosarcoma
FDA-approved
NCT04278781
[130]
A Phase I, multicenter, open-label, dose-escalation and expansion, safety, pharmacokinetic, pharmacodynamic, and clinical activity study of orally administered AG-120 in subjects with advanced hematologic malignancies with an IDH1 mutation (United States)Phase I: advanced hematologic malignanciesNCT02074839
Phase Ib/II investigator initiated study of the IDH1-mutant inhibitor ivosidenib (AG120) with the BCL2 inhibitor venetoclax +/- azacitidine in IDH1-mutated hematologic malignancies (United States)Ivosidenib in combination with venetoclax +/- azacitidinePhase Ib/II: IDH1-mutated hematologic malignanciesNCT03471260
Phase II study of enasidenib in IDH2-mutated malignant sinonasal and skull base tumors (United States)EnasidenibIDH2 inhibitorFDA-approved for acute myeloid leukemia
Phase II: malignant sinonasal and skull base tumors
NCT06176989[131]
Trial of dichloroacetate (DCA) in glioblastoma multiforme (GBM) (United States)DichloracetatePyruvate dehydrogenase complex inhibitorPhase IIA: glioblastomaNCT05120284[132]
Targeting autophagy
LIMIT melanoma: (lysosomal inhibition + melanoma immunotherapy) a Phase 1/2 open label trial of nivolumab and hydroxychloroquine or nivolumab/ipilimumab and hydroxychloroquine in patients with advanced melanoma (United States)Hydroxychloroquine in combination with nivolumab/ipilimumabLysosomal acidification inhibitor;
Disrupt the fusion of autophagosome with lysosome
Phase I/II: melanomaNCT04464759[81,133]
THREAD: A Phase I trial of trametinib and hydroxychloroquine in patients with advanced pancreatic cancer (United States)Hydroxychloroquine in combination with trametinibPhase I: advanced pancreatic cancerNCT03825289
Binimetinib plus hydroxychloroquine in KRAS mutant metastatic pancreatic cancer (United States)Hydroxychloroquine in combination with binimetinibPhase I: KRAS mutant metastatic pancreatic cancerNCT04132505
Modulation of sorafenib induced autophagy using hydroxychloroquine in hepatocellular cancer (United States)Hydroxychloroquine in combination with sorafenibPhase II: advanced hepatocellular cancerNCT03037437
A Phase I trial of MK-2206 and hydroxychloroquine in solid tumors, melanoma, renal and prostate cancer to examine the role of autophagy in tumorigenesis (United States)Hydroxychloroquine in combination with Akt inhibitor MK2206Phase I: advanced solid tumors, melanoma, prostate, kidney cancerNCT01480154
Treatment of adults with newly diagnosed glioblastoma with partial brain radiation therapy plus temozolomide and chloroquine followed by tumor treating fields plus temozolomide and chloroquine—a pilot study (United States)Chloroquine in combination with radiotherapy or tumor-treating fields therapyPhase I: glioblastomaNCT04397679
Phase II study of oral metformin for intravesical treatment of non-muscle-invasive bladder cancer (Netherlands)MetforminAMPK activator;
mTOR inhibitor;
STAT3-mediated pathway inhibitor;
autophagy inducer (decreases p62, increases LC3-II);
Complex I inhibitor
Phase II: non-muscle-invasive bladder cancerNCT03379909[134,135,136]
STOP-LEUKEMIA: Repurposing metformin as a leukemia-preventive drug in CCUS and LR-MDS (Denmark)MetforminPhase II: clonal cytopenia, myelodysplastic neoplasmsNCT04741945
Clinical effects of metformin on fertility-sparing treatment for early endometrial cancer (Republic of Korea) Phase III: endometrial cancerNCT04792749
Profiling and reversing metabolic insufficiency in the tumor microenvironment in advanced melanoma: a trial of pembrolizumab and metformin versus pembrolizumab alone in advanced melanoma (United States)Metformin
in combination with pembrolizumab
Phase I: advanced melanomaNCT03311308
Phase 2A pilot trial of metformin, digoxin, simvastatin (C3) in combination with gemcitabine in subjects with recurrent/refractory metastatic advanced pancreatic cancer) (United States)Metformin
in combination with simvastatin, and digoxin +/- gemcitabine
Phase I/II: metastatic advanced pancreatic cancerNCT06030622
Effect of metformin plus tyrosine kinase inhibitors compared with tyrosine kinase inhibitors alone for patients with advanced non-small cell lung cancer and EGFR mutations: Phase 3 randomized clinical trial (Mexico)Metformin
in combination with tyrosine kinase inhibitors
Phase II: advanced non-small-cell lung cancerNCT05445791
A Phase 0, single-center, open-label, dose-escalating trial using super-selective intra-arterial infusion of a single dose of temsirolimus for the treatment of recurrent high-grade glioma (United states)Temsirolimus (CCI-779)Autophagy in-ducer;
mTOR inhibitor
Advanced renal cell carcinoma
Early phase 0: glioma, glioblastoma
FDA-approved
NCT05773326
[137]
Phase II trial of encapsulated rapamycin (eRapa) for bladder cancer prevention (United States)Rapamycin (Sirolimus)Autophagy inducer;
mTOR inhibitor
Phase II: bladder cancerNCT04375813[138]
A Phase I trial of sirolimus or everolimus or temsirolimus (mTOR inhibitor) and vorinostat (histone deacetylase inhibitor) in advanced cancer (United States)Rapamycin in combination with vorinostat Phase I: advanced cancerNCT01087554
Combination of autophagy selective therapeutics (COAST) in advanced solid tumors or relapsed prostate cancer, a Phase I/II Trial (United States)Rapamycin in combination with hydroxychloroquine, metformin or dasatanib or nelfinavir Phase I/II: advanced solid tumors, relapsed prostate cancerNCT05036226
Everolimus (afinitor)Autophagy in-ducer;
mTOR inhibitor
HER2-negative advanced breast cancer, pancreatic neuroendocrine tumors, renal cell carcinoma, angiomyolipomaFDA-approved[139,140]
Efficacy and safety of epigallocatechin-3-gallate, an important polyphenolic that originates from tea, in patients with esophageal squamous cancer: a Phase II trial (China)Epigallocatechin gallate (EGCG)Autophagy activator through ROS elevation, Beclin-1- and LC3B-increasingPhase II: esophageal squamous cancerNCT06398405[87]

5. Challenges Faced in Relation to Therapies Targeting Mitochondrial and Autophagic Processes

Utilizing autophagy and mitochondrial function modulators (Table 2 and Table 3) in cancer therapy shows potential in overcoming tumor plasticity and drug resistance. However, some compounds exhibit dual effects, including non-specificity and undefined molecular mechanisms of action. For instance, EGCG activates autophagy and has been shown to suppress COX-2 in prostate, colon, and skin cancers in vitro and in mouse models as well as inhibit NF-kB in a melanoma mouse model [141]. In colorectal cancer (the HT-29 cell line), it triggers endoplasmic reticulum stress through the upregulation of BiP and PERK, leading to apoptosis via increased caspase-3/7 levels. In glioblastoma (the T98G and U87MG cell lines), EGCG elevates ROS levels, increases caspase 8 levels, and activates the JNK pathway [142]. Metformin is an exemplary mitochondria-targeted drug, as it decreases TCA cycle activity and inhibits complex I, leading to reduced ATP production. The resulting lower ATP levels activate AMPK and inhibit mTOR, which triggered autophagy in a myeloma cancer model (the RPMI8226 and U266 cell lines and NOD/SCID mice). In contrast, in leukemic cells (HL60 and MOLM14), metformin triggers apoptosis. Additionally, metformin has the ability to inhibit the NF-kB signaling pathway [143]. These examples underscore the pressing need to develop drugs that specifically target autophagy or mitochondria.
The development of autophagy inhibition methods centers on either inducing excessive autophagy or targeting the early stages of autophagy initiation [59]. A potential candidate for targeting autophagy initiation, the ULK1 inhibitor 13-oxyingenol-dodecanoate (13OD), is currently undergoing preclinical research. The associated study demonstrated that 13OD effectively inhibited the proliferation of non-small-cell lung cancer cells (A549 and H460) in vitro and in BALB/c athymic nude mice by promoting autophagic cell death [144].
Autophagy inducers, notably mTOR inhibitors, face challenges due to their incomplete targeting of mTORC1. This limitation arises as mTORC1 can bypass rapalog effects through the compensatory activation of other pathways, such as PI3K/Akt. Additionally, mutations in the FKBP12–rapamycin binding domain, including an alanine-to-valine substitution at position 2034 (A2034V) and a phenylalanine-to-leucine substitution at position 2108 (F2108L), as well as the activation of mTORC2-dependent pathways, contribute to the issue [145].
Following clinical trials, it was revealed that HCQ’s therapeutic effects are not mainly induced by autophagy inhibition. Rather, HCQ accumulates in endosomes, inhibits the toll-like receptor (TLR) pathway, reduces self-antigen presentation, and curbs cytokine production. The acidic nature of the tumor microenvironment negatively impacts HCQ’s efficacy by restricting its cellular transport. To address this challenge and minimize toxicity, targeted drug delivery systems like nanoparticles can be utilized [146].
Researchers conducting clinical trials struggle with the challenge of identifying which cancer types and grades are autophagy-dependent, requiring them to discern the function of autophagy each specific cancer patient [59]. To tackle the issue of identifying cancer’s dependence on autophagy, some clinical studies employ biomarkers. A case in point is a clinical trial that evaluated glioblastoma patients’ responses to combined CQ, chemotherapy, or radiotherapy by analyzing the EGFRvIII marker [147]. The level of the autophagy marker p62 is influenced not only by autophagy activity but also by its role in activating antioxidant gene expression, particularly NRF2, even when autophagy is not occurring [59].
For the mitochondria-targeted BCL-2 inhibitor venetoclax, clinical trials have revealed that secondary resistance can arise in multiple myeloma patients who have undergone long-term venetoclax therapy or possess missense mutations in BCL-2 and BAX. Venetoclax treatment, whether administered as a monotherapy or in combination with chemotherapy, can cause adverse events, including nausea, diarrhea, tumor lysis syndrome, and, most commonly, neutropenia and thrombocytopenia [148]. Studies investigating IDH1/IDH2 inhibitors indicate that resistance can occur in solid malignancies. It is hypothesized that this resistance arises from isotype switching, wherein patients with cytosolic IDH1 mutations develop mitochondrial IDH2 mutations after receiving IDH1 inhibitor therapy [149].
Despite their potential, the application of autophagy and mitochondria modulators in cancer treatment remains limited due to several challenges, including their lack of specificity, the development of resistance, cancer heterogeneity, and unclear molecular mechanisms underlying their actions. To address these issues, further studies are essential, especially those focused on discovering innovative drug targets and assessing synergistic combinations of drugs. Furthermore, creating autophagy-related biomarkers could help manage the variability among cancer patients and allow for more individualized treatment strategies.

6. Autophagy-Related Genes Hold Potential as Prognostic and Diagnostic Biomarkers for Cancer

Diagnosing and predicting the outcome of cancer in its early stages are essential for successful and effective treatment. Various types of cancer have unique autophagy-related biomarkers that serve as prognostic indicators. Identifying these biomarkers is essential for cancer diagnosis and can help predict the effectiveness of therapies that modulate autophagy.
In regard to melanoma, the extensively studied potential autophagy-related biomarkers are LC3, p62, and Beclin-1. Immunohistochemical analysis of malignant melanomas has revealed an increased expression of LC3 and decreased expression of Beclin-1, which are correlated with poorer patient outcomes and the progression of metastasis. However, there are instances of Beclin-1 overexpression and LC3 downregulation in advanced melanoma. The prognostic biomarker p62 is upregulated in the early stages of melanoma according to the AJCC (American Joint Committee on Cancer), but its expression is downregulated in advanced metastatic tumors [150]. In observational studies, these markers were validated in endometrial polyp tissue samples via immunohistochemistry (NCT04706000). Previous research on endometriosis has identified reduced levels of Beclin-1 mRNA and protein [151] (Table 4).
Analysis of mRNA expression in 52 normal and 495 tumor tissues from the Prostate Adenocarcinoma database identified mutations in ATG9B, DNAJB1 (DnaJ heat shock protein family (Hsp40) member B1), HSPB8, NKX2-3, and TP63 genes significantly associated with an increased risk of developing prostate cancer. Additionally, BNIP3, NPC1, and TP53 genes serve as prognostic autophagy biomarkers for advanced stages of prostate cancer [152].
In oral squamous cell carcinoma (OSCC), RNA sequencing and clinical screening data analysis have identified ATG12 and BID as potential prognostic autophagy-related biomarkers. Subsequent validation studies based on qRT-PCR, immunohistochemistry, and Western blot analysis have confirmed that these biomarkers are overexpressed in OSCC cell lines (SCC9, SCC15, SCC25) and tissues [153].
Research employing tissue microarrays, immunohistochemistry, and Western blot analysis conducted on formalin-fixed, paraffin-embedded tissues from 352 gastric cancer patients has indicated that diminished expression of ULK1, Beclin 1, ATG3, and ATG10 is associated with improved prognosis [154].
The transcriptome profiles from the TCGA (The Cancer Genome Atlas) and GTEx (The Genotype-Tissue Expression) databases, supported by clinical data and qPCR analysis of fresh cervical cancer samples, revealed ATG4D, CD46, TP73, and HSPB8 as autophagy-related risk biomarkers. These markers are downregulated in cervical cancer and are associated with favorable prognosis [155]. An additional autophagy-related long non-coding RNA (lncRNA) involved in cervical cancer identified using a public database has established 10 lncRNAs with prognostic potential, with DBH-AS1 being the most notable. Moreover, the associated study confirmed the role of lncRNA in regulating autophagy, modulating tumor development, and altering sensitivity to treatment [156].
In regard to glioma, one well-known biomarker is VMP1. Data analyses based on various cancer genome atlases have shown that VMP1 is upregulated in high-grade gliomas, and this is associated with a worse prognosis. Suppressing VMP1 expression through CRISPR-Cas9 gene editing significantly inhibited the proliferation of LN299 cells, leading to partial autophagy as a result of disrupted autophagosome formation and the initiation of apoptosis. VMP1 has the potential to be utilized as a predictor of survival for glioma patients [157].
In regard to bladder cancer, 11 autophagy-related biomarkers have been identified as key indicators of patient survival and clinical outcomes based on information from the Human Autophagy Database and Bladder Carcinoma databases. These biomarkers are APOL1, ATG4B, BAG1, CASP3, DRAM1, ITGA3, KLHL24, P4HB, PRKCD, ULK2, and WDR45. Notably, the overexpression of ULK2 and P4HB is linked to high-risk bladder cancer. In contrast, the overexpression of APOL1, ATG4B, BAG1, DRAM1, ITGA3, KLHL24, PRKCD, and WDR45 is correlated with low-risk bladder cancer [158]. A study (NCT03254888) on bladder cancer patients with confirmed histopathology employed quantitative real-time PCR to estimate ATG7 levels and used immunohistochemistry to determine LC3A levels as markers of autophagy (Table 4).
In regard to esophageal cancer, RNA-sequencing data analysis and clinical information derived from TCGA database identified DNAJB, BNIP1, VAMP7, and TBK1 (TANK binding kinase 1) as prognostic autophagy-related signatures. These biomarkers are significantly associated with overall patient survival [159].
Significant increases in autophagy and mitophagy markers, such as Beclin-1, LC-3, BNIP-3, and Parkin, were detected in breast cancer tissues compared to controls. The associated study also indicated that LC3 immunostaining was linked to younger breast cancer patients, while Parkin was associated with a history of breastfeeding [160].
An analysis of ovarian cancer gene expression profiles from the TCGA database, in conjunction with clinical data, uncovered 52 potential autophagy-related genes. LASSO-Cox analysis further revealed that FOXO1 and CASP8 are particularly promising for prognosis. Immunohistochemical analysis of tissue microarrays from 125 patients identified that elevated FOXO1 expression is linked to metastasis and a poorer prognosis in ovarian cancer [161].
Cancer prognosis and diagnosis are highly demanding disciplines owing to the diversity and intricacy of gene expression in individual patients. Each cancer patient possesses distinct genetic profiles and undergoes unique modifications in gene expression in response to cancer development. This uniqueness presents challenges in predicting cancer progression and treatment response. The heterogeneity in gene expression among cancer patients results in variation in tumor behavior and sensitivity to chemotherapy. Identifying specific prognostic biomarkers can contribute to early cancer patient diagnosis and enhance the effectiveness of personalized treatment strategies.

7. Conclusions

This review provides a comprehensive overview of the various functions of mitochondria within cancer cells, with a specific focus on their role in autophagy. Understanding the distinct characteristics of mitochondria in both healthy and cancerous cells, particularly in relation to autophagy, is crucial for developing more precise treatments, especially for cancer [9]. Strategies for inhibiting mitochondrial function or autophagy in cancer treatment include: 1. inducing oxidative stress; 2. disrupting mitochondrial respiration by targeting Complexes I through V; 3. inhibiting non-voltage calcium channels; 4. suppressing TCA cycle enzymes; and 5. modulating autophagy through activation or inhibition [162].
Autophagy is initiated under conditions of starvation and stress, such as organelle damage and the presence of misfolded proteins [163]. In cancer, autophagy plays a dual role: it can either promote tumorigenesis in certain cancers or suppress tumor development in others. Additionally, autophagy plays a role in the development of drug resistance and metastasis [12]. Modulating autophagy in cancer cells holds promise for cancer treatment. Autophagy inhibitors like chloroquine and hydroxychloroquine, as well as autophagy activators such as temsirolimus and rapamycin, have demonstrated efficacy in disrupting tumor growth, especially when combined with chemotherapy, according to both preclinical and clinical studies [164]. Despite the potential of mitochondrial function or autophagy modulators, their application is limited by several factors, including a lack of specificity, incomplete targeting due to mutations at binding sites, adverse events, and the development of secondary resistance.
Moreover, the precise diagnosis of specific cancer types is as crucial as the development of effective treatments. Early-stage cancer diagnosis significantly enhances the likelihood of successful treatment. Autophagy-related biomarkers are valuable for both cancer diagnosis and prognosis. This review also provides an overview of unique autophagy biomarkers across different types of cancer in pre-clinical and clinical studies.

Author Contributions

Conceptualization: A.Z.; literature search and writing: A.Z.; review and editing: E.G.-M. All authors have read and agreed to the published version of the manuscript.

Funding

This research received no external funding.

Conflicts of Interest

The authors declare no conflicts of interest. The funders had no role in the design of the study; in the collection, analyses, or interpretation of data; in the writing of the manuscript; or in the decision to publish the results.

Abbreviations

13OD13-oxyingenol-dodecanoate
ACDautophagic cell death
AJCCAmerican Joint Committee on Cancer
AKT1AKT serine/threonine kinase 1
AMBRA1the activating molecule in BECLIN1-regulated autophagy 1
AMPKAMP-activated protein kinase
ATPadenosine triphosphate
ATP5F1AATP synthase F1 subunit alpha
BAG1Bcl2-associated athanogene 1 protein
BCL-2B-cell lymphoma-2
BCL2L13BCL2-Like 13
Beclin1Bcl-2-interacting myosin-like coiled-coil
BIF1Bax-interacting factor 1
BMAL1basic helix–loop–helix ARNT-like 1
BNIP3BCL2/adenovirus E1B 19 kDa protein-interacting protein 3
CALCOCO2/NDP52calcium-binding and coiled-coil domain 2
CATcatalase
CHIPcarboxyl terminus of hsc70-interacting protein
CHMP2charged multivesicular body protein 2
CLcardiolipin
CLEARcoordinated lysosomal expression and regulation
CMAchaperone-mediated autophagy
COX IVcytochrome c oxidase subunit 4
DAPKdeath-associated protein kinase
DAPKdeath-associated protein kinase
DJ-1nucleic acid deglycase
DNAJB1DnaJ heat shock protein family (Hsp40) member B1
DRAMdamage-regulated autophagy modulator
DUBdeubiquitinase
DYNC1LI2Dynein Cytoplasmic 1 Light Intermediate Chain 2
EF1αelongation factor 1-α
EGCGepigallocatechin gallate
ERendoplasmic reticulum
ESCRTendosomal sorting complex required for transport
ETCelectron transport chain
FKBP8FKBP Prolyl Isomerase 8
FUNDC1FUN14 Domain-Containing 1
GABARAPGABA type A receptor-associated protein
GFAPglial fibrillary acidic protein
GP78glycoprotein 78
GSHglutathione
GSH-Pxglutathione peroxidase
GTExgenotype-tissue expression
GTPguanosine triphosphate
HMThorizontal mitochondrial transfer
HOPhsp70-hsp90 organizing protein
HOPShomotypic fusion and protein sorting
Hsp40heat shock protein 40
Hsp70heat shock protein 70
IMMinner mitochondrial membrane
KGDHα-ketoglutarate dehydrogenase
LAMP-2Alysosome-associated membrane protein type 2A
LC3microtubule-associated protein 1 light chain 3
LIRLC3-interacting region
MAMmitochondria-associated membrane
MAP1LC3/LC3microtubule associated protein 1 light chain 3
MFN2Mitofusin-2
Miromitochondrial Rho GTPase
MMPmitochondrial membrane potential
MTCH1mitochondrial carrier 1
mTORC1mechanistic target of rapamycin complex 1
mTORC2mammalian target of rapamycin complex 2
mtROSmitochondrial reactive oxygen species
MUL1mitochondrial E3 ubiquitin ligase 1
NBR1neighbor of BRCA1 gene 1 protein
NFAT1nuclear factor of activated T cells
NFE2L2NFE2 Like BZIP transcription factor 2
NF-kBnuclear factor kappa-light-chain-enhancer of activated B cells
NOXNADPH oxidase
Nrf2nuclear factor erythroid 2-related factor 2
OMMouter mitochondrial membrane
OPTNoptineurin
OSCCoral squamous cell carcinoma
OXPHOSoxidative phosphorylation
PASpre-autophagosomal structure
PDHpyruvate dehydrogenase
PEphosphatidylethanolamine
PER1/2period circadian protein homolog 1/2
PGAM5mitochondrial serine/threonine protein phosphatase
PHB2prohibitin 2
PHLPP1PH Domain And Leucine Rich Repeat Protein Phosphatase 1
PI3Kphosphatidylinositol 3-kinase
PI3Pphosphoinositide 3-phosphate
PINK1PTEN-induced putative kinase 1
PLEKHM1pleckstrin homology domain-containing family M member 1
PPT1palmitoyl-protein thioesterase 1
PTENphosphatase and tensin homolog
Rab-7ARas-related protein Rab-7A
RARαretinoic acid receptor alpha
RHOT1Ras homolog family member T1
RILPRab-interacting lysosomal protein
ROSreactive oxygen species
SIAH1seven in absentia homolog 1
SMACmitochondrial-derived activator of caspases
SNAREsoluble N-ethylmaleimide-sensitive attachment protein receptors
SODsuperoxide dismutase
SQSTM1/p62sequestosome 1
TAX1BP1Tax1 binding protein 1
TBK1TANK binding kinase 1
TCAtricarboxylic acid
TCGAThe Cancer Genome Atlas
TFEBtranscription factor EB
TLRtoll-like receptor
TNFatumor necrosis factor α
Tom20mitochondrial import receptor subunit TOM20 homolog
TOMM7translocase of outer mitochondrial membrane 7
TRAF6tumor-necrosis-factor-receptor-associated factor 6
TRXreduced thioredoxin
TRX-Pxthioredoxin peroxidase
TSC1/2tuberous sclerosis protein 1 and 2
ULKUnc-51-like kinase
ULK1/2serine/threonine Unc-51 like kinase ½
UVRAGUV radiation resistance-associated
VDAC-1voltage-dependent anion channel-1
VPS34vacuolar protein sorting 34
WIPI2WD-repeat domain phosphoinositide-interacting 2

References

  1. Murphy, M.P. How mitochondria produce reactive oxygen species. Biochem. J. 2009, 417, 1–13. [Google Scholar] [CrossRef]
  2. Cheung, E.C.; Vousden, K.H. The role of ROS in tumour development and progression. Nat. Rev. Cancer 2022, 22, 280–297. [Google Scholar] [CrossRef]
  3. Dong, L.F.; Rohlena, J.; Zobalova, R.; Nahacka, Z.; Rodriguez, A.M.; Berridge, M.V.; Neuzil, J. Mitochondria on the move: Horizontal mitochondrial transfer in disease and health. J. Cell Biol. 2023, 222, e202211044. [Google Scholar] [CrossRef] [PubMed]
  4. Mailloux, R.J. Mitochondrial Antioxidants and the Maintenance of Cellular Hydrogen Peroxide Levels. Oxid. Med. Cell. Longev. 2018, 2018, 7857251. [Google Scholar] [CrossRef] [PubMed]
  5. Xia, M.; Zhang, Y.; Jin, K.; Lu, Z.; Zeng, Z.; Xiong, W. Communication between mitochondria and other organelles: A brand-new perspective on mitochondria in cancer. Cell Biosci. 2019, 9, 27. [Google Scholar] [CrossRef] [PubMed]
  6. Jin, P.; Jiang, J.; Zhou, L.; Huang, Z.; Nice, E.C.; Huang, C.; Fu, L. Mitochondrial adaptation in cancer drug resistance: Prevalence, mechanisms, and management. J. Hematol. Oncol. 2022, 15, 97. [Google Scholar] [CrossRef] [PubMed]
  7. Kopinski, P.K.; Singh, L.N.; Zhang, S.; Lott, M.T.; Wallace, D.C. Mitochondrial DNA variation and cancer. Nat. Rev. Cancer 2021, 21, 431–445. [Google Scholar] [CrossRef]
  8. Sainero-Alcolado, L.; Liano-Pons, J.; Ruiz-Perez, M.V.; Arsenian-Henriksson, M. Targeting mitochondrial metabolism for precision medicine in cancer. Cell Death Differ. 2022, 29, 1304–1317. [Google Scholar] [CrossRef]
  9. Mukherjee, S.; Bhatti, G.K.; Chhabra, R.; Reddy, P.H.; Bhatti, J.S. Targeting mitochondria as a potential therapeutic strategy against chemoresistance in cancer. Biomed. Pharmacother. 2023, 160, 114398. [Google Scholar] [CrossRef]
  10. Missiroli, S.; Perrone, M.; Genovese, I.; Pinton, P.; Giorgi, C. Cancer metabolism and mitochondria: Finding novel mechanisms to fight tumours. eBioMedicine 2020, 59, 102943. [Google Scholar] [CrossRef]
  11. Rakesh, R.; PriyaDharshini, L.C.; Sakthivel, K.M.; Rasmi, R.R. Role and regulation of autophagy in cancer. Biochim. Biophys. Acta Mol. Basis Dis. 2022, 1868, 166400. [Google Scholar] [CrossRef] [PubMed]
  12. Ahmadi-Dehlaghi, F.; Mohammadi, P.; Valipour, E.; Pournaghi, P.; Kiani, S.; Mansouri, K. Autophagy: A challengeable paradox in cancer treatment. Cancer Med. 2023, 12, 11542–11569. [Google Scholar] [CrossRef]
  13. Noguchi, M.; Hirata, N.; Tanaka, T.; Suizu, F.; Nakajima, H.; Chiorini, J.A. Autophagy as a modulator of cell death machinery. Cell Death Dis. 2020, 11, 517. [Google Scholar] [CrossRef]
  14. Rangel, M.; Kong, J.; Bhatt, V.; Khayati, K.; Guo, J.Y. Autophagy and tumorigenesis. FEBS J. 2022, 289, 7177–7198. [Google Scholar] [CrossRef]
  15. Yamamoto, H.; Zhang, S.; Mizushima, N. Autophagy genes in biology and disease. Nat. Rev. Genet. 2023, 24, 382–400. [Google Scholar] [CrossRef] [PubMed]
  16. Amaravadi, R.K.; Kimmelman, A.C.; Debnath, J. Targeting Autophagy in Cancer: Recent Advances and Future Directions. Cancer Discov. 2019, 9, 1167–1181. [Google Scholar] [CrossRef]
  17. Ichimiya, T.; Yamakawa, T.; Hirano, T.; Yokoyama, Y.; Hayashi, Y.; Hirayama, D.; Wagatsuma, K.; Itoi, T.; Nakase, H. Autophagy and Autophagy-Related Diseases: A Review. Int. J. Mol. Sci. 2020, 21, 8974. [Google Scholar] [CrossRef] [PubMed]
  18. Alers, S.; Loffler, A.S.; Wesselborg, S.; Stork, B. Role of AMPK-mTOR-Ulk1/2 in the regulation of autophagy: Cross talk, shortcuts, and feedbacks. Mol. Cell. Biol. 2012, 32, 2–11. [Google Scholar] [CrossRef]
  19. Martens, S.; Fracchiolla, D. Activation and targeting of ATG8 protein lipidation. Cell Discov. 2020, 6, 23. [Google Scholar] [CrossRef]
  20. Agrotis, A.; von Chamier, L.; Oliver, H.; Kiso, K.; Singh, T.; Ketteler, R. Human ATG4 autophagy proteases counteract attachment of ubiquitin-like LC3/GABARAP proteins to other cellular proteins. J. Biol. Chem. 2019, 294, 12610–12621. [Google Scholar] [CrossRef]
  21. Chavez-Dominguez, R.; Perez-Medina, M.; Lopez-Gonzalez, J.S.; Galicia-Velasco, M.; Aguilar-Cazares, D. The Double-Edge Sword of Autophagy in Cancer: From Tumor Suppression to Pro-tumor Activity. Front. Oncol. 2020, 10, 578418. [Google Scholar] [CrossRef]
  22. Hernandez, G.A.; Perera, R.M. Autophagy in cancer cell remodeling and quality control. Mol. Cell 2022, 82, 1514–1527. [Google Scholar] [CrossRef] [PubMed]
  23. Yim, W.W.; Mizushima, N. Lysosome biology in autophagy. Cell Discov. 2020, 6, 6. [Google Scholar] [CrossRef]
  24. Ferro, F.; Servais, S.; Besson, P.; Roger, S.; Dumas, J.F.; Brisson, L. Autophagy and mitophagy in cancer metabolic remodelling. Semin. Cell Dev. Biol. 2020, 98, 129–138. [Google Scholar] [CrossRef] [PubMed]
  25. Doblado, L.; Lueck, C.; Rey, C.; Samhan-Arias, A.K.; Prieto, I.; Stacchiotti, A.; Monsalve, M. Mitophagy in Human Diseases. Int. J. Mol. Sci. 2021, 22, 3903. [Google Scholar] [CrossRef] [PubMed]
  26. Choubey, V.; Zeb, A.; Kaasik, A. Molecular Mechanisms and Regulation of Mammalian Mitophagy. Cells 2021, 11, 38. [Google Scholar] [CrossRef]
  27. Yan, C.; Gong, L.; Chen, L.; Xu, M.; Abou-Hamdan, H.; Tang, M.; Desaubry, L.; Song, Z. PHB2 (prohibitin 2) promotes PINK1-PRKN/Parkin-dependent mitophagy by the PARL-PGAM5-PINK1 axis. Autophagy 2020, 16, 419–434. [Google Scholar] [CrossRef]
  28. Ajoolabady, A.; Chiong, M.; Lavandero, S.; Klionsky, D.J.; Ren, J. Mitophagy in cardiovascular diseases: Molecular mechanisms, pathogenesis, and treatment. Trends Mol. Med. 2022, 28, 836–849. [Google Scholar] [CrossRef]
  29. Zuo, Z.; Jing, K.; Wu, H.; Wang, S.; Ye, L.; Li, Z.; Yang, C.; Pan, Q.; Liu, W.J.; Liu, H.F. Mechanisms and Functions of Mitophagy and Potential Roles in Renal Disease. Front. Physiol. 2020, 11, 935. [Google Scholar] [CrossRef]
  30. Vara-Perez, M.; Felipe-Abrio, B.; Agostinis, P. Mitophagy in Cancer: A Tale of Adaptation. Cells 2019, 8, 493. [Google Scholar] [CrossRef]
  31. Montava-Garriga, L.; Ganley, I.G. Outstanding Questions in Mitophagy: What We Do and Do Not Know. J. Mol. Biol. 2020, 432, 206–230. [Google Scholar] [CrossRef] [PubMed]
  32. Teresak, P.; Lapao, A.; Subic, N.; Boya, P.; Elazar, Z.; Simonsen, A. Regulation of PRKN-independent mitophagy. Autophagy 2022, 18, 24–39. [Google Scholar] [CrossRef]
  33. Sanchez-Martin, P.; Saito, T.; Komatsu, M. p62/SQSTM1: ‘Jack of all trades’ in health and cancer. FEBS J. 2019, 286, 8–23. [Google Scholar] [CrossRef]
  34. Boyle, K.B.; Ravenhill, B.J.; Randow, F. CALCOCO2/NDP52 initiates selective autophagy through recruitment of ULK and TBK1 kinase complexes. Autophagy 2019, 15, 1655–1656. [Google Scholar] [CrossRef] [PubMed]
  35. Padman, B.S.; Nguyen, T.N.; Uoselis, L.; Skulsuppaisarn, M.; Nguyen, L.K.; Lazarou, M. LC3/GABARAPs drive ubiquitin-independent recruitment of Optineurin and NDP52 to amplify mitophagy. Nat. Commun. 2019, 10, 408. [Google Scholar] [CrossRef]
  36. Cerda-Troncoso, C.; Varas-Godoy, M.; Burgos, P.V. Pro-Tumoral Functions of Autophagy Receptors in the Modulation of Cancer Progression. Front. Oncol. 2020, 10, 619727. [Google Scholar] [CrossRef]
  37. Fan, Y.; Cheng, Z.; Mao, L.; Xu, G.; Li, N.; Zhang, M.; Weng, P.; Zheng, L.; Dong, X.; Hu, S.; et al. PINK1/TAX1BP1-directed mitophagy attenuates vascular endothelial injury induced by copper oxide nanoparticles. J. Nanobiotechnol. 2022, 20, 149. [Google Scholar] [CrossRef] [PubMed]
  38. Sandoval, H.; Thiagarajan, P.; Dasgupta, S.K.; Schumacher, A.; Prchal, J.T.; Chen, M.; Wang, J. Essential role for Nix in autophagic maturation of erythroid cells. Nature 2008, 454, 232–235. [Google Scholar] [CrossRef] [PubMed]
  39. Wu, W.; Lin, C.; Wu, K.; Jiang, L.; Wang, X.; Li, W.; Zhuang, H.; Zhang, X.; Chen, H.; Li, S.; et al. FUNDC1 regulates mitochondrial dynamics at the ER-mitochondrial contact site under hypoxic conditions. EMBO J. 2016, 35, 1368–1384. [Google Scholar] [CrossRef]
  40. Nakazawa, M.; Matsubara, H.; Matsushita, Y.; Watanabe, M.; Vo, N.; Yoshida, H.; Yamaguchi, M.; Kataoka, T. The Human Bcl-2 Family Member Bcl-rambo Localizes to Mitochondria and Induces Apoptosis and Morphological Aberrations in Drosophila. PLoS ONE 2016, 11, e0157823. [Google Scholar] [CrossRef]
  41. Bai, X.; Ma, D.; Liu, A.; Shen, X.; Wang, Q.J.; Liu, Y.; Jiang, Y. Rheb activates mTOR by antagonizing its endogenous inhibitor, FKBP38. Science 2007, 318, 977–980. [Google Scholar] [CrossRef] [PubMed]
  42. Cecconi, F.; Di Bartolomeo, S.; Nardacci, R.; Fuoco, C.; Corazzari, M.; Giunta, L.; Romagnoli, A.; Stoykova, A.; Chowdhury, K.; Fimia, G.M.; et al. A novel role for autophagy in neurodevelopment. Autophagy 2007, 3, 506–508. [Google Scholar] [CrossRef]
  43. Li, X.X.; Tsoi, B.; Li, Y.F.; Kurihara, H.; He, R.R. Cardiolipin and its different properties in mitophagy and apoptosis. J. Histochem. Cytochem. 2015, 63, 301–311. [Google Scholar] [CrossRef] [PubMed]
  44. Andrade-Tomaz, M.; de Souza, I.; Rocha, C.R.R.; Gomes, L.R. The Role of Chaperone-Mediated Autophagy in Cell Cycle Control and Its Implications in Cancer. Cells 2020, 9, 2140. [Google Scholar] [CrossRef]
  45. Jafari, M.; McCabe, M.; Cuervo, A.M. Chaperone-mediated autophagy: Mechanisms and physiological relevance. Curr. Opin. Physiol. 2022, 30, 100597. [Google Scholar] [CrossRef]
  46. Agarraberes, F.A.; Dice, J.F. A molecular chaperone complex at the lysosomal membrane is required for protein translocation. J. Cell Sci. 2001, 114, 2491–2499. [Google Scholar] [CrossRef]
  47. Kaushik, S.; Cuervo, A.M. The coming of age of chaperone-mediated autophagy. Nat. Rev. Mol. Cell Biol. 2018, 19, 365–381. [Google Scholar] [CrossRef]
  48. Kanno, H.; Handa, K.; Murakami, T.; Aizawa, T.; Ozawa, H. Chaperone-Mediated Autophagy in Neurodegenerative Diseases and Acute Neurological Insults in the Central Nervous System. Cells 2022, 11, 1205. [Google Scholar] [CrossRef]
  49. Hubert, V.; Weiss, S.; Rees, A.J.; Kain, R. Modulating Chaperone-Mediated Autophagy and Its Clinical Applications in Cancer. Cells 2022, 11, 2562. [Google Scholar] [CrossRef]
  50. Zhang, J.; Johnson, J.L.; He, J.; Napolitano, G.; Ramadass, M.; Rocca, C.; Kiosses, W.B.; Bucci, C.; Xin, Q.; Gavathiotis, E.; et al. Cystinosin, the small GTPase Rab11, and the Rab7 effector RILP regulate intracellular trafficking of the chaperone-mediated autophagy receptor LAMP2A. J. Biol. Chem. 2017, 292, 10328–10346. [Google Scholar] [CrossRef] [PubMed]
  51. Pajares, M.; Rojo, A.I.; Arias, E.; Diaz-Carretero, A.; Cuervo, A.M.; Cuadrado, A. Transcription factor NFE2L2/NRF2 modulates chaperone-mediated autophagy through the regulation of LAMP2A. Autophagy 2018, 14, 1310–1322. [Google Scholar] [CrossRef] [PubMed]
  52. Cui, J.; Shen, H.M.; Lim, L.H.K. The Role of Autophagy in Liver Cancer: Crosstalk in Signaling Pathways and Potential Therapeutic Targets. Pharmaceuticals 2020, 13, 432. [Google Scholar] [CrossRef]
  53. Jain, V.; Singh, M.P.; Amaravadi, R.K. Recent advances in targeting autophagy in cancer. Trends Pharmacol. Sci. 2023, 44, 290–302. [Google Scholar] [CrossRef] [PubMed]
  54. Yun, C.W.; Jeon, J.; Go, G.; Lee, J.H.; Lee, S.H. The Dual Role of Autophagy in Cancer Development and a Therapeutic Strategy for Cancer by Targeting Autophagy. Int. J. Mol. Sci. 2020, 22, 179. [Google Scholar] [CrossRef]
  55. Movahhed, P.; Saberiyan, M.; Safi, A.; Arshadi, Z.; Kazerouni, F.; Teimori, H. The impact of DAPK1 and mTORC1 signaling association on autophagy in cancer. Mol. Biol. Rep. 2022, 49, 4959–4964. [Google Scholar] [CrossRef]
  56. Hu, Y.J.; Zhong, J.T.; Gong, L.; Zhang, S.C.; Zhou, S.H. Autophagy-Related Beclin 1 and Head and Neck Cancers. OncoTargets Ther. 2020, 13, 6213–6227. [Google Scholar] [CrossRef]
  57. Usman, R.M.; Razzaq, F.; Akbar, A.; Farooqui, A.A.; Iftikhar, A.; Latif, A.; Hassan, H.; Zhao, J.; Carew, J.S.; Nawrocki, S.T.; et al. Role and mechanism of autophagy-regulating factors in tumorigenesis and drug resistance. Asia Pac. J. Clin. Oncol. 2021, 17, 193–208. [Google Scholar] [CrossRef]
  58. Ying, H.; Qu, D.; Liu, C.; Ying, T.; Lv, J.; Jin, S.; Xu, H. Chemoresistance is associated with Beclin-1 and PTEN expression in epithelial ovarian cancers. Oncol. Lett. 2015, 9, 1759–1763. [Google Scholar] [CrossRef]
  59. Debnath, J.; Gammoh, N.; Ryan, K.M. Autophagy and autophagy-related pathways in cancer. Nat. Rev. Mol. Cell Biol. 2023, 24, 560–575. [Google Scholar] [CrossRef] [PubMed]
  60. Hu, Y.; Li, X.; Xue, W.; Pang, J.; Meng, Y.; Shen, Y.; Xu, Q. TP53INP2-related basal autophagy is involved in the growth and malignant progression in human liposarcoma cells. Biomed. Pharmacother. 2017, 88, 562–568. [Google Scholar] [CrossRef]
  61. Pan, J.; Lu, C.; Jun, W.; Wu, Y.; Shi, X.; Ding, Y. The up-regulation of P62 levels is associated with resistance of sorafenib in hepatocarcinoma cells. Int. J. Clin. Exp. Pathol. 2019, 12, 2622–2630. [Google Scholar] [PubMed]
  62. Shin, D.W. Dual Roles of Autophagy and Their Potential Drugs for Improving Cancer Therapeutics. Biomol. Ther. 2020, 28, 503–511. [Google Scholar] [CrossRef]
  63. Panigrahi, D.P.; Praharaj, P.P.; Bhol, C.S.; Mahapatra, K.K.; Patra, S.; Behera, B.P.; Mishra, S.R.; Bhutia, S.K. The emerging, multifaceted role of mitophagy in cancer and cancer therapeutics. Semin. Cancer Biol. 2020, 66, 45–58. [Google Scholar] [CrossRef]
  64. Fendt, S.M.; Frezza, C.; Erez, A. Targeting Metabolic Plasticity and Flexibility Dynamics for Cancer Therapy. Cancer Discov. 2020, 10, 1797–1807. [Google Scholar] [CrossRef] [PubMed]
  65. Parida, P.K.; Marquez-Palencia, M.; Ghosh, S.; Khandelwal, N.; Kim, K.; Nair, V.; Liu, X.Z.; Vu, H.S.; Zacharias, L.G.; Gonzalez-Ericsson, P.I.; et al. Limiting mitochondrial plasticity by targeting DRP1 induces metabolic reprogramming and reduces breast cancer brain metastases. Nat. Cancer 2023, 4, 893–907. [Google Scholar] [CrossRef]
  66. Wang, X.; Ji, Y.; Qi, J.; Zhou, S.; Wan, S.; Fan, C.; Gu, Z.; An, P.; Luo, Y.; Luo, J. Mitochondrial carrier 1 (MTCH1) governs ferroptosis by triggering the FoxO1-GPX4 axis-mediated retrograde signaling in cervical cancer cells. Cell Death Dis. 2023, 14, 508. [Google Scholar] [CrossRef]
  67. Yap, T.A.; Daver, N.; Mahendra, M.; Zhang, J.; Kamiya-Matsuoka, C.; Meric-Bernstam, F.; Kantarjian, H.M.; Ravandi, F.; Collins, M.E.; Francesco, M.E.D.; et al. Complex I inhibitor of oxidative phosphorylation in advanced solid tumors and acute myeloid leukemia: Phase I trials. Nat. Med. 2023, 29, 115–126. [Google Scholar] [CrossRef] [PubMed]
  68. Di Magno, L.; Manni, S.; Di Pastena, F.; Coni, S.; Macone, A.; Cairoli, S.; Sambucci, M.; Infante, P.; Moretti, M.; Petroni, M.; et al. Phenformin Inhibits Hedgehog-Dependent Tumor Growth through a Complex I-Independent Redox/Corepressor Module. Cell Rep. 2020, 30, 1735–1752.e7. [Google Scholar] [CrossRef]
  69. Skwarski, M.; McGowan, D.R.; Belcher, E.; Di Chiara, F.; Stavroulias, D.; McCole, M.; Derham, J.L.; Chu, K.Y.; Teoh, E.; Chauhan, J.; et al. Mitochondrial Inhibitor Atovaquone Increases Tumor Oxygenation and Inhibits Hypoxic Gene Expression in Patients with Non-Small Cell Lung Cancer. Clin. Cancer Res. 2021, 27, 2459–2469. [Google Scholar] [CrossRef]
  70. Gowans, F.A.; Thach, D.Q.; Wang, Y.; Altamirano Poblano, B.E.; Dovala, D.; Tallarico, J.A.; McKenna, J.M.; Schirle, M.; Maimone, T.J.; Nomura, D.K. Ophiobolin A Covalently Targets Complex IV Leading to Mitochondrial Metabolic Collapse in Cancer Cells. bioRxiv 2023. [Google Scholar] [CrossRef]
  71. Fiorillo, M.; Scatena, C.; Naccarato, A.G.; Sotgia, F.; Lisanti, M.P. Bedaquiline, an FDA-approved drug, inhibits mitochondrial ATP production and metastasis in vivo, by targeting the gamma subunit (ATP5F1C) of the ATP synthase. Cell Death Differ. 2021, 28, 2797–2817. [Google Scholar] [CrossRef] [PubMed]
  72. Zhu, H.; Chen, Q.; Zhao, L.; Hu, P. Targeting ATP Synthase by Bedaquiline as a Therapeutic Strategy to Sensitize Ovarian Cancer to Cisplatin. Nutr. Cancer 2023, 75, 1271–1280. [Google Scholar] [CrossRef] [PubMed]
  73. Mohan, A.; Griffith, K.A.; Wuchu, F.; Zhen, D.B.; Kumar-Sinha, C.; Crysler, O.; Hsiehchen, D.; Enzler, T.; Dippman, D.; Gunchick, V.; et al. Devimistat in Combination with Gemcitabine and Cisplatin in Biliary Tract Cancer: Preclinical Evaluation and Phase Ib Multicenter Clinical Trial (BilT-04). Clin. Cancer Res. 2023, 29, 2394–2400. [Google Scholar] [CrossRef] [PubMed]
  74. Deeks, E.D. Venetoclax: First Global Approval. Drugs 2016, 76, 979–987. [Google Scholar] [CrossRef]
  75. Xu, J.; Dong, X.; Huang, D.C.S.; Xu, P.; Zhao, Q.; Chen, B. Current Advances and Future Strategies for BCL-2 Inhibitors: Potent Weapons against Cancers. Cancers 2023, 15, 4957. [Google Scholar] [CrossRef]
  76. Ploumaki, I.; Triantafyllou, E.; Koumprentziotis, I.A.; Karampinos, K.; Drougkas, K.; Karavolias, I.; Trontzas, I.; Kotteas, E.A. Bcl-2 pathway inhibition in solid tumors: A review of clinical trials. Clin. Transl. Oncol. 2023, 25, 1554–1578. [Google Scholar] [CrossRef]
  77. Liu, J.; Wu, Y.; Meng, S.; Xu, P.; Li, S.; Li, Y.; Hu, X.; Ouyang, L.; Wang, G. Selective autophagy in cancer: Mechanisms, therapeutic implications, and future perspectives. Mol. Cancer 2024, 23, 22. [Google Scholar] [CrossRef]
  78. Chen, J.L.; Wu, X.; Yin, D.; Jia, X.H.; Chen, X.; Gu, Z.Y.; Zhu, X.M. Autophagy inhibitors for cancer therapy: Small molecules and nanomedicines. Pharmacol. Ther. 2023, 249, 108485. [Google Scholar] [CrossRef]
  79. Chang, H.; Zou, Z. Targeting autophagy to overcome drug resistance: Further developments. J. Hematol. Oncol. 2020, 13, 159. [Google Scholar] [CrossRef] [PubMed]
  80. Zeh, H.J.; Bahary, N.; Boone, B.A.; Singhi, A.D.; Miller-Ocuin, J.L.; Normolle, D.P.; Zureikat, A.H.; Hogg, M.E.; Bartlett, D.L.; Lee, K.K.; et al. A Randomized Phase II Preoperative Study of Autophagy Inhibition with High-Dose Hydroxychloroquine and Gemcitabine/Nab-Paclitaxel in Pancreatic Cancer Patients. Clin. Cancer Res. 2020, 26, 3126–3134. [Google Scholar] [CrossRef]
  81. Ferreira, P.M.P.; Sousa, R.W.R.; Ferreira, J.R.O.; Militao, G.C.G.; Bezerra, D.P. Chloroquine and hydroxychloroquine in antitumor therapies based on autophagy-related mechanisms. Pharmacol. Res. 2021, 168, 105582. [Google Scholar] [CrossRef] [PubMed]
  82. Rebecca, V.W.; Nicastri, M.C.; Fennelly, C.; Chude, C.I.; Barber-Rotenberg, J.S.; Ronghe, A.; McAfee, Q.; McLaughlin, N.P.; Zhang, G.; Goldman, A.R.; et al. PPT1 Promotes Tumor Growth and Is the Molecular Target of Chloroquine Derivatives in Cancer. Cancer Discov. 2019, 9, 220–229. [Google Scholar] [CrossRef] [PubMed]
  83. Kim, E.L.; Wustenberg, R.; Rubsam, A.; Schmitz-Salue, C.; Warnecke, G.; Bucker, E.M.; Pettkus, N.; Speidel, D.; Rohde, V.; Schulz-Schaeffer, W.; et al. Chloroquine activates the p53 pathway and induces apoptosis in human glioma cells. Neuro Oncol. 2010, 12, 389–400. [Google Scholar] [CrossRef]
  84. Schrezenmeier, E.; Dorner, T. Mechanisms of action of hydroxychloroquine and chloroquine: Implications for rheumatology. Nat. Rev. Rheumatol. 2020, 16, 155–166. [Google Scholar] [CrossRef]
  85. Buzun, K.; Gornowicz, A.; Lesyk, R.; Bielawski, K.; Bielawska, A. Autophagy Modulators in Cancer Therapy. Int. J. Mol. Sci. 2021, 22, 5804. [Google Scholar] [CrossRef]
  86. Elshazly, A.M.; Elzahed, A.A.; Gewirtz, D.A. The Cytoprotective and Cytotoxic Functions of Autophagy in Response to mTOR Inhibitors. Front. Biosci. 2024, 29, 231. [Google Scholar] [CrossRef]
  87. Ferrari, E.; Bettuzzi, S.; Naponelli, V. The Potential of Epigallocatechin Gallate (EGCG) in Targeting Autophagy for Cancer Treatment: A Narrative Review. Int. J. Mol. Sci. 2022, 23, 6075. [Google Scholar] [CrossRef]
  88. Shankar, S.; Suthakar, G.; Srivastava, R.K. Epigallocatechin-3-gallate inhibits cell cycle and induces apoptosis in pancreatic cancer. Front. Biosci. 2007, 12, 5039–5051. [Google Scholar] [CrossRef] [PubMed]
  89. Qin, J.; Fu, M.; Wang, J.; Huang, F.; Liu, H.; Huangfu, M.; Yu, D.; Liu, H.; Li, X.; Guan, X.; et al. PTEN/AKT/mTOR signaling mediates anticancer effects of epigallocatechin-3-gallate in ovarian cancer. Oncol. Rep. 2020, 43, 1885–1896. [Google Scholar] [CrossRef]
  90. Yin, Z.; Li, J.; Kang, L.; Liu, X.; Luo, J.; Zhang, L.; Li, Y.; Cai, J. Epigallocatechin-3-gallate induces autophagy-related apoptosis associated with LC3B II and Beclin expression of bladder cancer cells. J. Food Biochem. 2021, 45, e13758. [Google Scholar] [CrossRef]
  91. Yoshida, J.; Ohishi, T.; Abe, H.; Ohba, S.I.; Inoue, H.; Usami, I.; Amemiya, M.; Oriez, R.; Sakashita, C.; Dan, S.; et al. Mitochondrial complex I inhibitors suppress tumor growth through concomitant acidification of the intra- and extracellular environment. iScience 2021, 24, 103497. [Google Scholar] [CrossRef] [PubMed]
  92. Schockel, L.; Glasauer, A.; Basit, F.; Bitschar, K.; Truong, H.; Erdmann, G.; Algire, C.; Hagebarth, A.; Willems, P.H.; Kopitz, C.; et al. Targeting mitochondrial complex I using BAY 87-2243 reduces melanoma tumor growth. Cancer Metab. 2015, 3, 11. [Google Scholar] [CrossRef] [PubMed]
  93. Dong, L.F.; Jameson, V.J.; Tilly, D.; Cerny, J.; Mahdavian, E.; Marin-Hernandez, A.; Hernandez-Esquivel, L.; Rodriguez-Enriquez, S.; Stursa, J.; Witting, P.K.; et al. Mitochondrial targeting of vitamin E succinate enhances its pro-apoptotic and anti-cancer activity via mitochondrial complex II. J. Biol. Chem. 2011, 286, 3717–3728. [Google Scholar] [CrossRef]
  94. Cheng, G.; Hardy, M.; Topchyan, P.; Zander, R.; Volberding, P.; Cui, W.; Kalyanaraman, B. Potent inhibition of tumour cell proliferation and immunoregulatory function by mitochondria-targeted atovaquone. Sci. Rep. 2020, 10, 17872. [Google Scholar] [CrossRef]
  95. Zhang, Y.; Luo, T.; Ding, X.; Chang, Y.; Liu, C.; Zhang, Y.; Hao, S.; Yin, Q.; Jiang, B. Inhibition of mitochondrial complex III induces differentiation in acute myeloid leukemia. Biochem. Biophys. Res. Commun. 2021, 547, 162–168. [Google Scholar] [CrossRef]
  96. Reisbeck, L.; Linder, B.; Tascher, G.; Bozkurt, S.; Weber, K.J.; Herold-Mende, C.; van Wijk, S.J.L.; Marschalek, R.; Schaefer, L.; Munch, C.; et al. The iron chelator and OXPHOS inhibitor VLX600 induces mitophagy and an autophagy-dependent type of cell death in glioblastoma cells. Am. J. Physiol. Cell Physiol. 2023, 325, C1451–C1469. [Google Scholar] [CrossRef]
  97. Wang, Y.; Hou, Q.; Xiao, G.; Yang, S.; Di, C.; Si, J.; Zhou, R.; Ye, Y.; Zhang, Y.; Zhang, H. Selective ATP hydrolysis inhibition in F1Fo ATP synthase enhances radiosensitivity in non-small-cell lung cancer cells (A549). Oncotarget 2017, 8, 53602–53612. [Google Scholar] [CrossRef] [PubMed]
  98. Davis, R.T.; Blake, K.; Ma, D.; Gabra, M.B.I.; Hernandez, G.A.; Phung, A.T.; Yang, Y.; Maurer, D.; Lefebvre, A.; Alshetaiwi, H.; et al. Transcriptional diversity and bioenergetic shift in human breast cancer metastasis revealed by single-cell RNA sequencing. Nat. Cell Biol. 2020, 22, 310–320. [Google Scholar] [CrossRef]
  99. He, J.D.; Wang, Z.; Li, S.P.; Xu, Y.J.; Yu, Y.; Ding, Y.J.; Yu, W.L.; Zhang, R.X.; Zhang, H.M.; Du, H.Y. Vitexin suppresses autophagy to induce apoptosis in hepatocellular carcinoma via activation of the JNK signaling pathway. Oncotarget 2016, 7, 84520–84532. [Google Scholar] [CrossRef]
  100. Song, L.; Wang, Z.; Wang, Y.; Guo, D.; Yang, J.; Chen, L.; Tan, N. Natural Cyclopeptide RA-XII, a New Autophagy Inhibitor, Suppresses Protective Autophagy for Enhancing Apoptosis through AMPK/mTOR/P70S6K Pathways in HepG2 Cells. Molecules 2017, 22, 1934. [Google Scholar] [CrossRef]
  101. Zhang, X.; Wang, H.; Yu, M.; Ma, K.; Ning, L. Inhibition of autophagy by 3-methyladenine promotes migration and invasion of colon cancer cells through epithelial mesenchymal transformation. Transl. Cancer Res. 2022, 11, 2834–2842. [Google Scholar] [CrossRef] [PubMed]
  102. Wang, M.; Huang, C.; Su, Y.; Yang, C.; Xia, Q.; Xu, D.J. Astragaloside II sensitizes human hepatocellular carcinoma cells to 5-fluorouracil via suppression of autophagy. J. Pharm. Pharmacol. 2017, 69, 743–752. [Google Scholar] [CrossRef] [PubMed]
  103. Yuan, N.; Song, L.; Zhang, S.; Lin, W.; Cao, Y.; Xu, F.; Fang, Y.; Wang, Z.; Zhang, H.; Li, X.; et al. Bafilomycin A1 targets both autophagy and apoptosis pathways in pediatric B-cell acute lymphoblastic leukemia. Haematologica 2015, 100, 345–356. [Google Scholar] [CrossRef] [PubMed]
  104. Pasquier, B. SAR405, a PIK3C3/Vps34 inhibitor that prevents autophagy and synergizes with MTOR inhibition in tumor cells. Autophagy 2015, 11, 725–726. [Google Scholar] [CrossRef]
  105. Petroni, G.; Bagni, G.; Iorio, J.; Duranti, C.; Lottini, T.; Stefanini, M.; Kragol, G.; Becchetti, A.; Arcangeli, A. Clarithromycin inhibits autophagy in colorectal cancer by regulating the hERG1 potassium channel interaction with PI3K. Cell Death Dis. 2020, 11, 161. [Google Scholar] [CrossRef]
  106. Liu, M.; Bamodu, O.A.; Huang, W.C.; Zucha, M.A.; Lin, Y.K.; Wu, A.T.H.; Huang, C.C.; Lee, W.H.; Yuan, C.C.; Hsiao, M.; et al. 4-Acetylantroquinonol B suppresses autophagic flux and improves cisplatin sensitivity in highly aggressive epithelial cancer through the PI3K/Akt/mTOR/p70S6K signaling pathway. Toxicol. Appl. Pharmacol. 2017, 325, 48–60. [Google Scholar] [CrossRef]
  107. Liu, Y.; Hao, Y.; Li, Y.; Zheng, Y.; Dai, J.; Zhong, F.; Wei, W.; Fang, Z. Salinomycin induces autophagic cell death in salinomycin-sensitive melanoma cells through inhibition of autophagic flux. Sci. Rep. 2020, 10, 18515. [Google Scholar] [CrossRef] [PubMed]
  108. Bai, Z.; Ding, N.; Ge, J.; Wang, Y.; Wang, L.; Wu, N.; Wei, Q.; Xu, S.; Liu, X.; Zhou, G. Esomeprazole overcomes paclitaxel-resistance and enhances anticancer effects of paclitaxel by inducing autophagy in A549/Taxol cells. Cell Biol. Int. 2021, 45, 177–187. [Google Scholar] [CrossRef]
  109. Zai, W.; Chen, W.; Han, Y.; Wu, Z.; Fan, J.; Zhang, X.; Luan, J.; Tang, S.; Jin, X.; Fu, X.; et al. Targeting PARP and autophagy evoked synergistic lethality in hepatocellular carcinoma. Carcinogenesis 2020, 41, 345–357. [Google Scholar] [CrossRef]
  110. Li, Y.; Zhang, J.; Ma, H.; Chen, X.; Liu, T.; Jiao, Z.; He, W.; Wang, F.; Liu, X.; Zeng, X. Protective role of autophagy in matrine-induced gastric cancer cell death. Int. J. Oncol. 2013, 42, 1417–1426. [Google Scholar] [CrossRef]
  111. Sun, X.; Li, L.; Ma, H.G.; Sun, P.; Wang, Q.L.; Zhang, T.T.; Shen, Y.M.; Zhu, W.M.; Li, X. Bisindolylmaleimide alkaloid BMA-155Cl induces autophagy and apoptosis in human hepatocarcinoma HepG-2 cells through the NF-kappaB p65 pathway. Acta Pharmacol. Sin. 2017, 38, 524–538. [Google Scholar] [CrossRef]
  112. Morselli, E.; Marino, G.; Bennetzen, M.V.; Eisenberg, T.; Megalou, E.; Schroeder, S.; Cabrera, S.; Benit, P.; Rustin, P.; Criollo, A.; et al. Spermidine and resveratrol induce autophagy by distinct pathways converging on the acetylproteome. J. Cell Biol. 2011, 192, 615–629. [Google Scholar] [CrossRef] [PubMed]
  113. Wang, Y.; Nie, H.; Zhao, X.; Qin, Y.; Gong, X. Bicyclol induces cell cycle arrest and autophagy in HepG2 human hepatocellular carcinoma cells through the PI3K/AKT and Ras/Raf/MEK/ERK pathways. BMC Cancer 2016, 16, 742. [Google Scholar] [CrossRef] [PubMed]
  114. Gao, L.; Lv, G.; Li, R.; Liu, W.T.; Zong, C.; Ye, F.; Li, X.Y.; Yang, X.; Jiang, J.H.; Hou, X.J.; et al. Glycochenodeoxycholate promotes hepatocellular carcinoma invasion and migration by AMPK/mTOR dependent autophagy activation. Cancer Lett. 2019, 454, 215–223. [Google Scholar] [CrossRef]
  115. Chen, Y.J.; Fang, L.W.; Su, W.C.; Hsu, W.Y.; Yang, K.C.; Huang, H.L. Lapatinib induces autophagic cell death and differentiation in acute myeloblastic leukemia. OncoTargets Ther. 2016, 9, 4453–4464. [Google Scholar] [CrossRef]
  116. Yu, H.; Qiu, Y.; Pang, X.; Li, J.; Wu, S.; Yin, S.; Han, L.; Zhang, Y.; Jin, C.; Gao, X.; et al. Lycorine Promotes Autophagy and Apoptosis via TCRP1/Akt/mTOR Axis Inactivation in Human Hepatocellular Carcinoma. Mol. Cancer Ther. 2017, 16, 2711–2723. [Google Scholar] [CrossRef]
  117. Lin, C.; Tsai, S.C.; Tseng, M.T.; Peng, S.F.; Kuo, S.C.; Lin, M.W.; Hsu, Y.M.; Lee, M.R.; Amagaya, S.; Huang, W.W.; et al. AKT serine/threonine protein kinase modulates baicalin-triggered autophagy in human bladder cancer T24 cells. Int. J. Oncol. 2013, 42, 993–1000. [Google Scholar] [CrossRef]
  118. Zhou, J.; Farah, B.L.; Sinha, R.A.; Wu, Y.; Singh, B.K.; Bay, B.H.; Yang, C.S.; Yen, P.M. Epigallocatechin-3-gallate (EGCG), a green tea polyphenol, stimulates hepatic autophagy and lipid clearance. PLoS ONE 2014, 9, e87161. [Google Scholar] [CrossRef] [PubMed]
  119. D’Aguanno, S.; Brignone, M.; Scalera, S.; Chiacchiarini, M.; Di Martile, M.; Valentini, E.; De Nicola, F.; Ricci, A.; Pelle, F.; Botti, C.; et al. Bcl-2 dependent modulation of Hippo pathway in cancer cells. Cell Commun. Signal 2024, 22, 277. [Google Scholar] [CrossRef]
  120. Bruzzese, A.; Martino, E.A.; Labanca, C.; Mendicino, F.; Lucia, E.; Olivito, V.; Neri, A.; Morabito, F.; Vigna, E.; Gentile, M. Potential of BGB-11417, a BCL2 inhibitor, in hematological malignancies. Expert. Opin. Investig. Drugs 2024, 33, 73–77. [Google Scholar] [CrossRef]
  121. Alencar, A.J.; Roeker, L.E.; Hoffmann, M.; Murthy, G.S.G.; Patel, V.; Ku, N.C.; Pauff, J.M.; Eyre, T.A.; Jurczak, W.; Le Gouill, S. A First-in-Human Phase 1 Study of Oral LOXO-338, a Selective BCL2 Inhibitor, in Patients with Advanced Hematologic Malignancies (Trial in Progress). Blood 2021, 138, 2424. [Google Scholar] [CrossRef]
  122. Li, J.; Hu, N.; Zhang, Y.; Yang, X.; Deng, M.; Gong, W.; Yin, L.; Liu, Y.; Gao, Y.; Wei, W.; et al. Abstract 6158: BGB-24714, a novel oral IAP antagonist, displayed significant anti-tumor activities in preclinical models as a monotherapy and in combination with paclitaxel. Cancer Res. 2023, 83, 6158. [Google Scholar] [CrossRef]
  123. Bourhis, J.; Burtness, B.; Licitra, L.F.; Nutting, C.; Schoenfeld, J.D.; Omar, M.; Bouisset, F.; Nauwelaerts, H.; Urfer, Y.; Zanna, C.; et al. Xevinapant or placebo plus chemoradiotherapy in locally advanced squamous cell carcinoma of the head and neck: TrilynX phase III study design. Future Oncol. 2022, 18, 1669–1678. [Google Scholar] [CrossRef]
  124. Hurrish, K.H.; Su, Y.; Patel, S.; Ramage, C.L.; Zhao, J.; Temby, B.R.; Carter, J.L.; Edwards, H.; Buck, S.A.; Wiley, S.E.; et al. Enhancing anti-AML activity of venetoclax by isoflavone ME-344 through suppression of OXPHOS and/or purine biosynthesis in vitro. Biochem. Pharmacol. 2024, 220, 115981. [Google Scholar] [CrossRef]
  125. Kumar, A.; Corey, C.; Scott, I.; Shiva, S.; D’Cunha, J. Minnelide/Triptolide Impairs Mitochondrial Function by Regulating SIRT3 in P53-Dependent Manner in Non-Small Cell Lung Cancer. PLoS ONE 2016, 11, e0160783. [Google Scholar] [CrossRef]
  126. Benej, M.; Hong, X.; Vibhute, S.; Scott, S.; Wu, J.; Graves, E.; Le, Q.T.; Koong, A.C.; Giaccia, A.J.; Yu, B.; et al. Papaverine and its derivatives radiosensitize solid tumors by inhibiting mitochondrial metabolism. Proc. Natl. Acad. Sci. USA 2018, 115, 10756–10761. [Google Scholar] [CrossRef]
  127. Rodriguez-Berriguete, G.; Puliyadi, R.; Machado, N.; Barberis, A.; Prevo, R.; McLaughlin, M.; Buffa, F.M.; Harrington, K.J.; Higgins, G.S. Antitumour effect of the mitochondrial complex III inhibitor Atovaquone in combination with anti-PD-L1 therapy in mouse cancer models. Cell Death Dis. 2024, 15, 32. [Google Scholar] [CrossRef] [PubMed]
  128. Omuro, A.; Beal, K.; McNeill, K.; Young, R.J.; Thomas, A.; Lin, X.; Terziev, R.; Kaley, T.J.; DeAngelis, L.M.; Daras, M.; et al. Multicenter Phase IB Trial of Carboxyamidotriazole Orotate and Temozolomide for Recurrent and Newly Diagnosed Glioblastoma and Other Anaplastic Gliomas. J. Clin. Oncol. 2018, 36, 1702–1709. [Google Scholar] [CrossRef]
  129. Zachar, Z.; Marecek, J.; Maturo, C.; Gupta, S.; Stuart, S.D.; Howell, K.; Schauble, A.; Lem, J.; Piramzadian, A.; Karnik, S.; et al. Non-redox-active lipoate derivates disrupt cancer cell mitochondrial metabolism and are potent anticancer agents in vivo. J. Mol. Med. 2011, 89, 1137–1148. [Google Scholar] [CrossRef]
  130. Abou-Alfa, G.K.; Macarulla, T.; Javle, M.M.; Kelley, R.K.; Lubner, S.J.; Adeva, J.; Cleary, J.M.; Catenacci, D.V.; Borad, M.J.; Bridgewater, J.; et al. Ivosidenib in IDH1-mutant, chemotherapy-refractory cholangiocarcinoma (ClarIDHy): A multicentre, randomised, double-blind, placebo-controlled, phase 3 study. Lancet Oncol. 2020, 21, 796–807. [Google Scholar] [CrossRef]
  131. Thol, F.; Ganser, A. Treatment of Relapsed Acute Myeloid Leukemia. Curr. Treat. Options Oncol. 2020, 21, 66. [Google Scholar] [CrossRef]
  132. Schoenmann, N.; Tannenbaum, N.; Hodgeman, R.M.; Raju, R.P. Regulating mitochondrial metabolism by targeting pyruvate dehydrogenase with dichloroacetate, a metabolic messenger. Biochim. Biophys. Acta Mol. Basis Dis. 2023, 1869, 166769. [Google Scholar] [CrossRef] [PubMed]
  133. Manic, G.; Obrist, F.; Kroemer, G.; Vitale, I.; Galluzzi, L. Chloroquine and hydroxychloroquine for cancer therapy. Mol. Cell. Oncol. 2014, 1, e29911. [Google Scholar] [CrossRef]
  134. Zhang, T.; Wang, X.; He, D.; Jin, X.; Guo, P. Metformin sensitizes human bladder cancer cells to TRAIL-induced apoptosis through mTOR/S6K1-mediated downregulation of c-FLIP. Anticancer Drugs 2014, 25, 887–897. [Google Scholar] [CrossRef] [PubMed]
  135. Pan, Q.; Yang, G.L.; Yang, J.H.; Lin, S.L.; Liu, N.; Liu, S.S.; Liu, M.Y.; Zhang, L.H.; Huang, Y.R.; Shen, R.L.; et al. Metformin can block precancerous progression to invasive tumors of bladder through inhibiting STAT3-mediated signaling pathways. J. Exp. Clin. Cancer Res. 2015, 34, 77. [Google Scholar] [CrossRef] [PubMed]
  136. Agius, L.; Ford, B.E.; Chachra, S.S. The Metformin Mechanism on Gluconeogenesis and AMPK Activation: The Metabolite Perspective. Int. J. Mol. Sci. 2020, 21, 3240. [Google Scholar] [CrossRef]
  137. Schulze, M.; Stock, C.; Zaccagnini, M.; Teber, D.; Rassweiler, J.J. Temsirolimus. Recent. Results Cancer Res. 2014, 201, 393–403. [Google Scholar] [CrossRef]
  138. Benjamin, D.; Colombi, M.; Moroni, C.; Hall, M.N. Rapamycin passes the torch: A new generation of mTOR inhibitors. Nat. Rev. Drug Discov. 2011, 10, 868–880. [Google Scholar] [CrossRef]
  139. Hasskarl, J. Everolimus. Recent. Results Cancer Res. 2018, 211, 101–123. [Google Scholar] [CrossRef]
  140. Saran, U.; Foti, M.; Dufour, J.F. Cellular and molecular effects of the mTOR inhibitor everolimus. Clin. Sci. 2015, 129, 895–914. [Google Scholar] [CrossRef]
  141. Sharifi-Rad, M.; Pezzani, R.; Redaelli, M.; Zorzan, M.; Imran, M.; Ahmed Khalil, A.; Salehi, B.; Sharopov, F.; Cho, W.C.; Sharifi-Rad, J. Preclinical Pharmacological Activities of Epigallocatechin-3-gallate in Signaling Pathways: An Update on Cancer. Molecules 2020, 25, 467. [Google Scholar] [CrossRef]
  142. Zhang, S.; Cao, M.; Fang, F. The Role of Epigallocatechin-3-Gallate in Autophagy and Endoplasmic Reticulum Stress (ERS)-Induced Apoptosis of Human Diseases. Med. Sci. Monit. 2020, 26, e924558. [Google Scholar] [CrossRef]
  143. Zhao, B.; Luo, J.; Yu, T.; Zhou, L.; Lv, H.; Shang, P. Anticancer mechanisms of metformin: A review of the current evidence. Life Sci. 2020, 254, 117717. [Google Scholar] [CrossRef] [PubMed]
  144. Wang, X.Y.; Wang, Y.J.; Guo, B.W.; Hou, Z.L.; Zhang, G.X.; Han, Z.; Liu, Q.; Yao, G.D.; Song, S.J. 13-Oxyingenol-dodecanoate inhibits the growth of non-small cell lung cancer cells by targeting ULK1. Bioorg. Chem. 2024, 147, 107367. [Google Scholar] [CrossRef]
  145. Formisano, L.; Napolitano, F.; Rosa, R.; D’Amato, V.; Servetto, A.; Marciano, R.; De Placido, P.; Bianco, C.; Bianco, R. Mechanisms of resistance to mTOR inhibitors. Crit. Rev. Oncol. Hematol. 2020, 147, 102886. [Google Scholar] [CrossRef] [PubMed]
  146. Low, L.E.; Kong, C.K.; Yap, W.H.; Siva, S.P.; Gan, S.H.; Siew, W.S.; Ming, L.C.; Lai-Foenander, A.S.; Chang, S.K.; Lee, W.L.; et al. Hydroxychloroquine: Key therapeutic advances and emerging nanotechnological landscape for cancer mitigation. Chem. Biol. Interact. 2023, 386, 110750. [Google Scholar] [CrossRef] [PubMed]
  147. Du, W.; Xu, A.; Huang, Y.; Cao, J.; Zhu, H.; Yang, B.; Shao, X.; He, Q.; Ying, M. The role of autophagy in targeted therapy for acute myeloid leukemia. Autophagy 2021, 17, 2665–2679. [Google Scholar] [CrossRef]
  148. Cao, Q.; Wu, X.; Zhang, Q.; Gong, J.; Chen, Y.; You, Y.; Shen, J.; Qiang, Y.; Cao, G. Mechanisms of action of the BCL-2 inhibitor venetoclax in multiple myeloma: A literature review. Front. Pharmacol. 2023, 14, 1291920. [Google Scholar] [CrossRef]
  149. Zarei, M.; Hue, J.J.; Hajihassani, O.; Graor, H.J.; Katayama, E.S.; Loftus, A.W.; Bajor, D.; Rothermel, L.D.; Vaziri-Gohar, A.; Winter, J.M. Clinical development of IDH1 inhibitors for cancer therapy. Cancer Treat. Rev. 2022, 103, 102334. [Google Scholar] [CrossRef]
  150. Tang, D.Y.; Ellis, R.A.; Lovat, P.E. Prognostic Impact of Autophagy Biomarkers for Cutaneous Melanoma. Front. Oncol. 2016, 6, 236. [Google Scholar] [CrossRef]
  151. Zhang, L.; Liu, Y.; Xu, Y.; Wu, H.; Wei, Z.; Cao, Y. The expression of the autophagy gene beclin-1 mRNA and protein in ectopic and eutopic endometrium of patients with endometriosis. Int. J. Fertil. Steril. 2015, 8, 429–436. [Google Scholar] [CrossRef]
  152. Cheng, Y.; Qi, F.; Li, L.; Qin, Z.; Li, X.; Wang, X. Autophagy-related genes are potential diagnostic and prognostic biomarkers in prostate cancer. Transl. Androl. Urol. 2020, 9, 2616–2628. [Google Scholar] [CrossRef]
  153. Huang, G.Z.; Lu, Z.Y.; Rao, Y.; Gao, H.; Lv, X.Z. Screening and identification of autophagy-related biomarkers for oral squamous cell carcinoma (OSCC) via integrated bioinformatics analysis. J. Cell Mol. Med. 2021, 25, 4444–4454. [Google Scholar] [CrossRef]
  154. Cao, Q.H.; Liu, F.; Yang, Z.L.; Fu, X.H.; Yang, Z.H.; Liu, Q.; Wang, L.; Wan, X.B.; Fan, X.J. Prognostic value of autophagy related proteins ULK1, Beclin 1, ATG3, ATG5, ATG7, ATG9, ATG10, ATG12, LC3B and p62/SQSTM1 in gastric cancer. Am. J. Transl. Res. 2016, 8, 3831–3847. [Google Scholar]
  155. Meng, D.; Jin, H.; Zhang, X.; Yan, W.; Xia, Q.; Shen, S.; Xie, S.; Cui, M.; Ding, B.; Gu, Y.; et al. Identification of autophagy-related risk signatures for the prognosis, diagnosis, and targeted therapy in cervical cancer. Cancer Cell Int. 2021, 21, 362. [Google Scholar] [CrossRef]
  156. Feng, Q.; Wang, J.; Cui, N.; Liu, X.; Wang, H. Autophagy-related long non-coding RNA signature for potential prognostic biomarkers of patients with cervical cancer: A study based on public databases. Ann. Transl. Med. 2021, 9, 1668. [Google Scholar] [CrossRef]
  157. Lin, W.; Sun, Y.; Qiu, X.; Huang, Q.; Kong, L.; Lu, J.J. VMP1, a novel prognostic biomarker, contributes to glioma development by regulating autophagy. J. Neuroinflamm. 2021, 18, 165. [Google Scholar] [CrossRef]
  158. Zhou, C.; Li, A.H.; Liu, S.; Sun, H. Identification of an 11-Autophagy-Related-Gene Signature as Promising Prognostic Biomarker for Bladder Cancer Patients. Biology 2021, 10, 375. [Google Scholar] [CrossRef]
  159. Du, H.; Xie, S.; Guo, W.; Che, J.; Zhu, L.; Hang, J.; Li, H. Development and validation of an autophagy-related prognostic signature in esophageal cancer. Ann. Transl. Med. 2021, 9, 317. [Google Scholar] [CrossRef]
  160. Mustafa, M.F.; Saliluddin, S.M.; Fakurazi, S.; Laim, N.M.S.T.; Pauzi, S.H.M.; Yahya, N.H.N.; Gopal, N.S.R.; Abdullah, M.A.; Maniam, S. Expression of Autophagy and Mitophagy Markers in Breast Cancer Tissues. Front. Oncol. 2021, 11, 612009. [Google Scholar] [CrossRef]
  161. Yang, J.; Wang, C.; Zhang, Y.; Cheng, S.; Wu, M.; Gu, S.; Xu, S.; Wu, Y.; Wang, Y. A novel autophagy-related gene signature associated with prognosis and immune microenvironment in ovarian cancer. J. Ovarian Res. 2023, 16, 86. [Google Scholar] [CrossRef] [PubMed]
  162. Qiu, Y.H.; Zhang, T.S.; Wang, X.W.; Wang, M.Y.; Zhao, W.X.; Zhou, H.M.; Zhang, C.H.; Cai, M.L.; Chen, X.F.; Zhao, W.L.; et al. Mitochondria autophagy: A potential target for cancer therapy. J. Drug Target. 2021, 29, 576–591. [Google Scholar] [CrossRef] [PubMed]
  163. Yun, C.W.; Lee, S.H. The Roles of Autophagy in Cancer. Int. J. Mol. Sci. 2018, 19, 3466. [Google Scholar] [CrossRef]
  164. Mohsen, S.; Sobash, P.T.; Algwaiz, G.F.; Nasef, N.; Al-Zeidaneen, S.A.; Karim, N.A. Autophagy Agents in Clinical Trials for Cancer Therapy: A Brief Review. Curr. Oncol. 2022, 29, 1695–1708. [Google Scholar] [CrossRef]
Figure 1. Overview of mitochondrial functions. Mitochondria perform several essential functions within the cell, including ATP production; reactive oxygen species (ROS) generation and elimination through superoxide dismutase (SOD), NADPH oxidase (NOX), catalase (CAT), glutathione peroxidase (GSH-Px), or thioredoxin peroxidase (TRX-Px); mitochondrial communication; and regulation of cell death. This image was created on BioRender.com.
Figure 1. Overview of mitochondrial functions. Mitochondria perform several essential functions within the cell, including ATP production; reactive oxygen species (ROS) generation and elimination through superoxide dismutase (SOD), NADPH oxidase (NOX), catalase (CAT), glutathione peroxidase (GSH-Px), or thioredoxin peroxidase (TRX-Px); mitochondrial communication; and regulation of cell death. This image was created on BioRender.com.
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Figure 2. The autophagy pathway, which is subdivided into the following steps: (A) Initiation—the ULK complex, consisting of FIP200, ULK1/2, ATG13, and ATG101, mediates pre-autophagosomal structure formation. (B) Elongation—the PI3K complex, consisting of VPS15, VPS34, ATG14, Beclin1, and p150, generates the phagophore. Phagophore elongation is mediated by WIPI2, conjugation cascade ATG5-ATG12-ATG16L, ATG7, and ATG10. (C) Maturation—ATG4 convertss LC3 (an ATG8 family protein)-to-LC3-I and the conjugation cascade attaches LC3-I to PE (phosphatidylethanolamine) in the lipid membrane and generates lipidated LC3-II. The autophagosome’s closure is mediated by VPS4 and CHMP2 proteins. (D) Fusion—autophagososme–lysosome fusion is initiated by SNARE proteins (YKT6, STX17), tethering factors (HOPS, EPG5), and GTPase (RAB7). (E) Degradation. This image was created on BioRender.com.
Figure 2. The autophagy pathway, which is subdivided into the following steps: (A) Initiation—the ULK complex, consisting of FIP200, ULK1/2, ATG13, and ATG101, mediates pre-autophagosomal structure formation. (B) Elongation—the PI3K complex, consisting of VPS15, VPS34, ATG14, Beclin1, and p150, generates the phagophore. Phagophore elongation is mediated by WIPI2, conjugation cascade ATG5-ATG12-ATG16L, ATG7, and ATG10. (C) Maturation—ATG4 convertss LC3 (an ATG8 family protein)-to-LC3-I and the conjugation cascade attaches LC3-I to PE (phosphatidylethanolamine) in the lipid membrane and generates lipidated LC3-II. The autophagosome’s closure is mediated by VPS4 and CHMP2 proteins. (D) Fusion—autophagososme–lysosome fusion is initiated by SNARE proteins (YKT6, STX17), tethering factors (HOPS, EPG5), and GTPase (RAB7). (E) Degradation. This image was created on BioRender.com.
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Figure 3. PINK1/Parkin-dependent mitophagy. Under conditions of mitochondrial stress, PINK1 accumulates on the outer mitochondrial membrane (OMM), where it undergoes phosphorylation and activation. This activation subsequently triggers Parkin ligase, which ubiquitinates mitochondrial proteins, such as MFN2 and VDAC-1. Mitochondria with polyubiquitinated OMM proteins recruit mitophagy cargo receptors/adaptors, such as NDP52 and NBR1, to their surfaces. The mitophagy cargo receptor/adaptors connect both with LC3-II, present on the phagophore membrane, and with ubiquitinated chains. This image was created on BioRender.com.
Figure 3. PINK1/Parkin-dependent mitophagy. Under conditions of mitochondrial stress, PINK1 accumulates on the outer mitochondrial membrane (OMM), where it undergoes phosphorylation and activation. This activation subsequently triggers Parkin ligase, which ubiquitinates mitochondrial proteins, such as MFN2 and VDAC-1. Mitochondria with polyubiquitinated OMM proteins recruit mitophagy cargo receptors/adaptors, such as NDP52 and NBR1, to their surfaces. The mitophagy cargo receptor/adaptors connect both with LC3-II, present on the phagophore membrane, and with ubiquitinated chains. This image was created on BioRender.com.
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Figure 4. Mechanism of CMA (chaperone-mediated autophagy): 1. Recognition: Hsc70 and co-chaperons, such as Hsp40 (heat shock protein 40), CHIP (carboxyl terminus of hsc70-interacting protein), and HOP (hsp70-hsp90 organizing protein), recognize CMA substrates by specifically targeting the KFERQ motif present within the substrate. 2. Binding: CMA substrate binds to the lysomal surface receptor LAMP-2A (lysosome-associated membrane protein type 2A). 3. Multimerization: LAMP-2A forms a translocation channel through LAMP-2A multimerization and stabilization via GFAP (glial fibrillary acidic protein). 4. Unfolding: CMA substrate is unfolded by Hsc70 and stabilized by Hsc90. 5. Translocation: CMA substrate is transported into lysosomal lumen. 6. Dissociation: upon phosphorylation by EF1α, GFAP undergoes dissociation from the LAMP-2A channel, resulting in the disassembly of the LAMP-2A multimeric complex into monomeric form. This image was created on BioRender.com.
Figure 4. Mechanism of CMA (chaperone-mediated autophagy): 1. Recognition: Hsc70 and co-chaperons, such as Hsp40 (heat shock protein 40), CHIP (carboxyl terminus of hsc70-interacting protein), and HOP (hsp70-hsp90 organizing protein), recognize CMA substrates by specifically targeting the KFERQ motif present within the substrate. 2. Binding: CMA substrate binds to the lysomal surface receptor LAMP-2A (lysosome-associated membrane protein type 2A). 3. Multimerization: LAMP-2A forms a translocation channel through LAMP-2A multimerization and stabilization via GFAP (glial fibrillary acidic protein). 4. Unfolding: CMA substrate is unfolded by Hsc70 and stabilized by Hsc90. 5. Translocation: CMA substrate is transported into lysosomal lumen. 6. Dissociation: upon phosphorylation by EF1α, GFAP undergoes dissociation from the LAMP-2A channel, resulting in the disassembly of the LAMP-2A multimeric complex into monomeric form. This image was created on BioRender.com.
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Table 4. Observational research on cancer patients derived from clinical trial database.
Table 4. Observational research on cancer patients derived from clinical trial database.
Title Type of StudyAutophagy Markers/EvaluationType of CancerClinicalTrials.gov ID
Investigation of autophagy markers in endometrial polyps (Turkey)ObservationalBeclin 1
LC3A/B
P62/
Immunohistochemistry
ELISA
Endometrial polypNCT04706000
Association of autophagy-related genes, LncRNA and SNPs with colorectal cancer in egyptian population (Egypt)ObservationalIn PBMC and tissue, the levels of expression of EIF4EBP1, HOTTIP and serum SNP HOTTIP rs1859168Colorectal cancerNCT04729855
Identification of novel autophagy markers in bladder cancer patients (Egypt)ObservationalAtg7 (RTPCR)
LC3A (immunohistochemistry)
Bladder cancerNCT03254888
Immunohistochemical assessment of programmed death ligand 1 PDL-1 and autophagy marker LC3B in glioblastoma (Egypt)ObservationalLC3B (immunohistochemistry)GlioblastomaNCT04284306
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Zdanowicz, A.; Grosicka-Maciąg, E. The Interplay between Autophagy and Mitochondria in Cancer. Int. J. Mol. Sci. 2024, 25, 9143. https://doi.org/10.3390/ijms25179143

AMA Style

Zdanowicz A, Grosicka-Maciąg E. The Interplay between Autophagy and Mitochondria in Cancer. International Journal of Molecular Sciences. 2024; 25(17):9143. https://doi.org/10.3390/ijms25179143

Chicago/Turabian Style

Zdanowicz, Aleksandra, and Emilia Grosicka-Maciąg. 2024. "The Interplay between Autophagy and Mitochondria in Cancer" International Journal of Molecular Sciences 25, no. 17: 9143. https://doi.org/10.3390/ijms25179143

APA Style

Zdanowicz, A., & Grosicka-Maciąg, E. (2024). The Interplay between Autophagy and Mitochondria in Cancer. International Journal of Molecular Sciences, 25(17), 9143. https://doi.org/10.3390/ijms25179143

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