Next Article in Journal
Cyclodextrin-Based Displacement Strategy of Sterigmatocystin from Serum Albumin as a Novel Approach for Acute Poisoning Detoxification
Next Article in Special Issue
Computational Approaches Drive Developments in Immune-Oncology Therapies for PD-1/PD-L1 Immune Checkpoint Inhibitors
Previous Article in Journal
Variable Intrinsic Expression of Immunoregulatory Biomarkers in Breast Cancer Cell Lines, Mammospheres, and Co-Cultures
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Review

A Brief Review on Chemoresistance; Targeting Cancer Stem Cells as an Alternative Approach

by
Belén Toledo
1,†,
Aitor González-Titos
1,†,
Pablo Hernández-Camarero
1,* and
Macarena Perán
1,2,3,*
1
Department of Health Sciences, University of Jaén, Campus de las Lagunillas, 23071 Jaen, Spain
2
Excellence Research Unit “Modeling Nature” (MNat), University of Granada, 18016 Granada, Spain
3
Biopathology and Regenerative Medicine, Institute (IBIMER), University of Granada, Centre for Biomedical Research (CIBM), 18071 Granada, Spain
*
Authors to whom correspondence should be addressed.
These authors contributed equally to this work.
Int. J. Mol. Sci. 2023, 24(5), 4487; https://doi.org/10.3390/ijms24054487
Submission received: 6 February 2023 / Revised: 20 February 2023 / Accepted: 21 February 2023 / Published: 24 February 2023
(This article belongs to the Special Issue Advances in the Development of Anticancer Drugs)

Abstract

:
The acquisition of resistance to traditional chemotherapy and the chemoresistant metastatic relapse of minimal residual disease both play a key role in the treatment failure and poor prognosis of cancer. Understanding how cancer cells overcome chemotherapy-induced cell death is critical to improve patient survival rate. Here, we briefly describe the technical approach directed at obtaining chemoresistant cell lines and we will focus on the main defense mechanisms against common chemotherapy triggers by tumor cells. Such as, the alteration of drug influx/efflux, the enhancement of drug metabolic neutralization, the improvement of DNA-repair mechanisms, the inhibition of apoptosis-related cell death, and the role of p53 and reactive oxygen species (ROS) levels in chemoresistance. Furthermore, we will focus on cancer stem cells (CSCs), the cell population that subsists after chemotherapy, increasing drug resistance by different processes such as epithelial-mesenchymal transition (EMT), an enhanced DNA repair machinery, and the capacity to avoid apoptosis mediated by BCL2 family proteins, such as BCL-XL, and the flexibility of their metabolism. Finally, we will review the latest approaches aimed at decreasing CSCs. Nevertheless, the development of long-term therapies to manage and control CSCs populations within the tumors is still necessary.

1. Introduction

Currently, chemotherapy is still considered an irreplaceable front-line therapeutic strategy to combat almost all types of cancers, but multidrug resistance represents a common hurdle that deeply compromises clinical outcomes. Therefore, it is key to identify new resistance biomarkers and to analyze their predictive potential in order to guide treatment regimens [1]. Furthermore, a better understanding of the underlying drug tolerance mechanisms may be critical in achieving alternative therapies to improve oncological patients’ prognosis. However, it is challenging since a high heterogeneity of chemoresistance markers expression profiles has been observed between different tumors and even between different cell lines of the same tumor type [2]. In this regard, the development of drug-resistant cell lines is essential to study chemoresistance mechanisms. Figure 1 summarizes the procedure to obtain in vitro chemoresistant cell lines by mimicking the conditions experienced by cancer patients during chemotherapy. The use of increasing concentrations of chemotoxic agents represents a common experimental procedure with the aim of establishing stable, drug-tolerant tumor cell lines in vitro [3]. Although this method is very reliable and reproducible, some potential limitations should be kept in mind: first, since only a small fraction of the bulk population of cells will show chemoresistance, it is recommended to start with a large population of cells (a minimum of 106 cells); second, it is very important to use the same freshly prepared drug stock for long-term use; third, it is crucial to start the protocol by determining the IC50 in each individual cell line, as variations may occur when using a new batch of cells (Figure 1). In general, it is crucial to choose a cell line that is resistant to chemotherapy with a relatively low referenced IC50 value for the drug of interest; finally, it is mandatory to avoid any contamination, including Mycoplasma, since it has been proved that microbiota can increase chemoresistance [4].
Amongst the huge variety of anti-cancer agents, we have focused on DNA-damaging drugs (DDDs), gemcitabine (Gem) (dFdC), 5-fluorouracil (5-FU), cisplatin, and doxorubicin as the main treatments for high-incidence tumors. Gemcitabine and 5-FU are “anti-metabolites”, analogous to pyrimidine-based nucleotides, namely, cytosine and thymine/uracil, respectively, while cisplatin is an alkylating agent that generates DNA adducts and doxorubicin is a topoisomerase II inhibitor [5]. Tumor cells protect themselves from the aggression of cytotoxic agents through a series of mechanisms that range from preventing the entry of the drug to repairing the damage caused (Figure 2). Accordingly, in the face of aggression, tumor cells raise their first line of defense, preventing the entry of the drug and favoring its efflux through membrane pumps to compromise intracellular drug accumulation [6]. Further, DDDs are kept out of the nucleus where they perform their cytotoxic action by interfering mechanisms, for instance, lysosomal sequestration, as described for platinum-based treatment resistance [7]. In addition, the inactivation of chemotherapeutic agents, such as gemcitabine or 5-FU, has also been shown to contribute to the clinical failure of chemotherapy [8] (Figure 2).
Moreover, the basal DNA repair mechanism of eukaryotic cells is enhanced in tumor cells after prolonged exposition to cytotoxic agents, implying the resistance to treatment in many cancer types including diffuse large B-cell lymphoma [9]. Finally, apoptosis evasion, mainly through p53 mutations, has been described in a wide spectrum of cancers as a mechanism of cytotoxic drug tolerance [10].
While highly proliferative cancerous cells are more sensitive to DDDs, low-proliferative cancer cells tend to be more resistant. In this sense, cancer stem-like cells (CSCs) have been defined as low-proliferative/quiescent cells, with high invasive, metastatic, and chemoresistant potentials, which undergo the epithelial-to-mesenchymal transition (EMT) process [11]. Thus, the acquisition of a CSC-like phenotype upon exposure to chemotherapy can be considered as a pro-survival tumor cells’ mechanism [12].
CSCs chemo and radio resistance are both supported by the intrinsic characteristics of their quiescent nature: (i) increased DNA repair mechanism, (ii) the ability to escape cell death [13], and (iii) the flexibility of their metabolism [14]. In addition, CSCs chemoresistance is also due to an increased drug efflux through ABC transporters [15]. In fact, a wide variety of studies have shown the strong relationship between stemness developed through upregulation of stemness markers, such as Nanog, OCT4, SOX2, and CD44, and drug resistance via increased drug efflux [16]. Similarly, it has been demonstrated that the dedifferentiation of melanoma cells toward a CSC-like status was accompanied by an increased xenobiotic efflux capacity and thus, an alteration of the therapeutic agent uptake [17]. Other studies have correlated EPCAMhigh/CD44+ colorectal CSCs with oxaliplatin tolerance through increased DNA repair capacity, altering the cell cycle checkpoints or ROS scavenging [18]. Notably, the authors also mentioned some molecular pathways, i.e., Notch, WNT/β-Catenin, and the Janus kinase/signal transducer and activator transcription (JAK/STAT), which are significantly involved in the CSCs maintenance and thus, in the acquisition of a chemoresistant phenotype. In the same context, Matou-Nasri and colleagues identified the key role of the p38/MAPK and NFKβ signaling pathways in the survival of acute myeloid leukemia CSCs and their chemoresistance to 5-fluorouridine through the inhibition of the therapy-related induction of apoptosis [19]. Specifically, the Janus kinase/Signal Transducers and Activators of Transcription (JAK/STAT3) pathway has been shown to play an important role in CSCs. This pathway is activated by interleukine-6 (IL-6) and the epithelial growth factor (EGF), among others factors [20]. Activated JAK/STAT3 triggers JAK activation, which phosphorylates STAT3. P-STAT3 dimerizes and enters the nucleus inducing the expression of genes related to cancer progression and epithelial to mesenchymal transition (EMT) and stemness, resulting in an increase in chemoresistance [20,21]. In addition, the JAK/STAT3 pathway in breast cancer has been shown to increase chemoresistance via the regulation of the lipid metabolism-activating fatty acid oxidation [22]. Other studies have shown that an overexpression of STAT3 in colorectal CSCs increased chemoresistance while STAT3 degradation enhanced cell chemosensitivity and decreased stem cell markers expression [23].
Here, we will compare tumor cells chemoresistance mechanisms against common treatments in high-incidence tumors. Furthermore, we will focus on cancer stem cells (CSCs) as key players in cancer drug-resistance, introducing novel approaches to reduce this cell population and therefore, chemoresistance.

2. Boarding and Landing Gates

To exert their anti-cancer effects, DDDs have to reach their molecular targets inside the nucleus, mainly DNA and/or DNA synthesis-related enzymes. Undoubtedly, the trafficking across the plasma membrane and the drug influx/efflux ratio determine the cytotoxic agent intracellular concentration. Thus, dysfunctions in drug uptake pumps lead to an increase in chemoresistance. For instance, Zeng and co-workers (2021) described the volume-regulated anion channel (VRAC) as a mediator of cisplatin uptake. Moreover, it has been documented that the cisplatin influx promoted by the organic cation transport 1 (OCT1) in esophageal squamous cell carcinoma shows a significant positive correlation between a low expression of OCT1 and a reduced sensitivity to cisplatin, along with a poor prognosis [24].
In addition, the ion transporters OCT1, OCT2, OCT3, and OATP1A2 (organic anionic transporter 1A2) have been shown to promote the cellular uptake of doxorubicin under physiological conditions [25]. Furthermore, Wang and colleagues reported the participation of the OAT2 transporter in 5-FU uptake in hepatocellular carcinoma cells, which explained the correlation between OAT2 downregulation and acquired chemoresistance [26].
On the other hand, the increased efflux of therapeutic agents has been widely described as a central mechanism leading to multidrug resistance, with special emphasis on the upregulation of the ATP-binding cassette (ABC) superfamily with up to 48 different subtypes [27]. The huge heterogeneity among efflux pumps has clinical relevance since it dictates the substrate-binding affinity. In fact, Mora Lagares and colleagues (2021) [28] have shown the implication of ABC transporters transmembrane domains, with a large proportion of non-conserved residues, in the establishment of the substrate-binding pocket, suggesting different substrate specificities that are characteristic of each ABC member. According to this idea, a specific cytotoxic drug may be recognized and expelled out of the tumor cell by only certain ABC pumps. For instance, gemcitabine is ejected from the cells by overexpressed ABCC4 [29] or ABCC5 [30] transporters, leading to chemoresistance in pancreatic cancer treatments. It has also been demonstrated that the downregulation of hENT1, a nucleotide transporter associated with gemcitabine uptake, may also contribute to the acquisition of chemoresistance by pancreatic cancer cells [31] (Figure 2). In regard to cisplatin, some studies identified ABCB1 (MDR1), ABCG2 (BCRp), ABCC1, and ABCC4 as mediators of drug extrusion, thereby contributing to cisplatin tolerance [32]. Similarly, ABCA5, ABCC2, and ABCB5 [33] have also been reported to exert the same effect.
Additionally, 5-FU has been documented in colorectal cancer cells to be expelled from the intracellular space by ABCC11, but surprisingly, not by the widely recognized ABCB1 drug efflux pump [34]. In a recent study using non-small lung carcinoma cells, it was reported that 5-FU can also be a substrate of ABCA5 and ABCC1 transporters [33]. Moreover, in a hepatocellular carcinoma study, the overexpression of ABCB1, ABCB5, ABCC1, or ABCG2 had the potential to induce resistance to doxorubicin, and this fact was prevalent in hepatic CSCs rather than in non-stem cancerous cells [26].
Furthermore, the subcellular distribution of chemotherapeutic agents is key to supporting their cytotoxic effect. In this regard, it has been shown that the major vault protein (MVP) can promote doxorubicin transference from the nucleus to the cytoplasm and then to the extracellular space, inducing drug tolerance [35,36]. Reinforcing the importance of subcellular drug location, the copper transporter ATP7B has been shown to induce platinum-derived compounds lysosomal sequestration and their subsequent exocytosis, thereby promoting cisplatin chemoresistance in ovarian cancer cells [7].
Collectively, these data reflect the importance of the bidirectional trafficking across the plasma membrane, which is mediated by multiple transporters. Nevertheless, it is relevant to note that different tissues, tumor types, and even distinct cell lines of the same tumor may exhibit specific expression patterns of such transporters [25].

3. Drug Metabolism

Antimetabolites cytotoxic drugs exert their effect by incorporation into RNA and DNA molecules producing fatal errors, which lead to cell death. Gemcitabine and 5-FU are representative examples of antimetabolites that are analogous to pyrimidine-based nucleotides, namely cytosine and uracil/thymine, respectively [37] (Figure 2). Thus, the pyrimidine metabolic activity of target tumor cells may significantly influence drug availability and cytotoxic efficacy (Figure 2). Of note, dihydropyrimidine dehydrogenase (DPD) has been shown to be an important enzyme in the pyrimidine catabolic route which catalyzes a two-electron reduction in pyrimidine bases [38]. In fact, DPD deficiency in bladder cancer cells has been associated with gemcitabine sensitivity, whereas the overexpression of DPYD (DPD-coding gene) was linked to gemcitabine resistance via its catalytic inactivation [8] (Figure 2). Similarly, DPD upregulation in colorectal cancer has also been shown to promote 5-FU tolerance through intracellular 5-FU transformation into inactive metabolites [39].
Moreover, cytidine-metabolizing enzymes, such as cytidine deaminases (CDA), have been shown to interfere with gemcitabine-based therapies. A representative example is CDA, whose upregulation has been related to gemcitabine resistance in pancreatic cancer via metabolic neutralization [1]. Interestingly, other cytidine deaminases, such as the AID and APOBEC family, have also been related to key roles in cancer biology [40]. Hence, it seems reasonable to propose a relevant crosslink between gemcitabine efficiency and these enzymes. In the case of CDA, its gemcitabine-neutralizing capacity has also been detected outside tumor cells, for instance in systemic blood circulation [12]. Parallelly, the secretion of pyrimidine nucleosides, such as deoxypyrimidine dehydrogenase (DPD), by tumor-associated macrophages (TAMs) in pancreatic ductal adenocarcinoma has been observed. Deoxypyrimidine dehydrogenase promotes gemcitabine resistance through the competitive attenuation of its uptake by tumor cells and by increasing its metabolic neutralization [41]. Furthermore, hypoxic TAMs have been proven to be the main contributors to DPD expression in colorectal cancer, implying the relevance of surrounding stromal cells in promoting resistance to chemotherapeutic antimetabolites [42]. Importantly, Malier and colleagues also noted that mice-derived macrophages did not express significant levels of DPD, contrary to human TAMs.
Once inside the cells, gemcitabine activated metabolites: difluorodeoxycytidine monophosphate (DFDCMP), the diphosphate form (DFDCDP), and subsequently, the triphosphate compound (DFDCTP) are phosphorylated by the enzyme deoxycytidine kinase (dCK) before achieving therapeutic effectiveness [43,44] (Figure 2). Concordantly, it has been revealed that an increased expression of dCK in high-grade meningioma cells determined the intracellular activation of gemcitabine leading to a significant increase in drug sensitivity [45]. Along with its misincorporation into synthesizing DNA strands (DFDCTP metabolite), gemcitabine (DFDCDP form) can also hamper the synthesis and repair of DNA via the inhibition of ribonucleotide reductase (RR). Indeed, the high expression of RR and the activation of the RR large subunit (RRM1) were associated with poorer patient outcomes and gemcitabine resistance in pancreatic cancer [43] (Figure 2).
On the other hand, 5-FU has to be converted to the active metabolite: fluorodeoxyuridine monophosphate (FDUMP) by mediation of enzymes such as thymidine kinase 1 (TK1) in order to exert its cytotoxic effect [46]. 5-FU causes DNA damage by being mistakenly incorporated into DNA- and RNA-based molecules, and by the induction of thymidine synthase (TS) inhibition, thus, hampering de novo thymidine synthesis. Moreover, the upregulation of TS has been shown to attenuate 5-FU cytotoxicity and to lead to drug resistance in a cholangiocarcinoma study [47].
Regarding CSCs, many studies have reported that the acquisition of a stem-like phenotype by cancerous cells may be accompanied by a deep metabolic reprogramming. To note, glycolysis is commonly enhanced in CSCs, as has been described in the case of glioblastoma CSCs [48]. The authors specified that this phenomenon along with the acquisition of a stem-like phenotype were induced by the long non-coding RNA HULC. In a similar way, another study has exposed that biomechanical forces derived from the extracellular matrix contributed to the dedifferentiation of colorectal cancer cells toward CSCs through the enhancement of glycolysis and HIF1 expression [49]. However, it has been highlighted that the metabolic reprogramming of CSCs may be much more flexible/reversible according to their phenotypic plasticity. Indeed, CSCs are able to transit between a quiescent, low-metabolic phenotype with little energy needs and a proliferative behavior with high energy costs [50]. Interestingly, it has been revealed that the acquisition of cisplatin tolerance by non-small cell lung carcinoma cells was associated with their glycolysis/oxidative phosphorylation metabolic flexibility and with an increased mitochondrial function [51]. Moreover, the dedifferentiation of cancerous cells toward CSCs can also be accompanied by other metabolic alterations. In regard to this, the overexpression of OCT4 has been related to the CSC-like phenotype along with the enhancement of both glycolysis and the oxidative pentose phosphate pathway [52]. These events may be of special relevance considering the well-known role of the pentose phosphate pathway in the defense against reactive oxygen species (ROS), which can also be correlated with the acquisition of chemoresistance (see the following section). According to the many metabolic changes surrounding the CSC-like phenotype, it seems reasonable to hypothesize that nucleotide metabolism could also be altered in CSCs. In agreement, it has been confirmed that the TS enzyme may be essential for the maintenance of the CSC-like status of triple-negative breast cancer cells, which has also remarkably been associated with an increased activity of DPD enzyme [53]. In addition, others observed that the overexpression of RRM2 (related to nucleotide synthesis) was closely correlated with the stemness of squamous cells of oral carcinoma [54]. These facts may be relevant considering the participation of DPD, RRM2, and TS enzymes in the drug tolerance of cancerous cells, as mentioned above.

4. DNA Damage Repair and Cell Proliferation

Upon reaching the nucleus, DDDs cause a variety of DNA lesions. Depending on the level of DNA damage, several types of DNA-damage responses (DDRs) are triggered and these can be classified into two main groups: (i) pro-survival responses (i.e., DNA repair and/or cell cycle arrest/premature cell senescence) and (ii) cell death (i.e., pro-apoptotic signaling). Specifically, DDRs are characterized by complex and multifactorial phosphorylation cascades comprising a wide variety of molecules such as DNA sensors (i.e., MRN complex, ATM, or ATR), DDR transducers such as checkpoint kinases (for example CHK1 or CHK2), and mediators/effectors such as p53 and executioners (i.e., DNA repair-, cell cycle arrest-, or apoptosis-related factors) [55]. Considering that the final goal of cancerous cells relies on surviving at all costs, the reported association between the optimization of DDR through ATM/ATR/p53 axis upregulation and the tolerance to chemotherapeutic drugs such as gemcitabine in pancreatic cancer is not surprising at all [56]. Relevantly, some degree of specificity in the induction of certain DDR pathways according to the type of DNA damage has been shown. For instance, the activation of ATM/CHK2 signaling has been mainly correlated to double-stranded DNA breaks while the enhancement of the ATR/CHK1 axis has been mainly linked to single-stranded DNA breaks [57,58]. Similarly, different DNA repair mechanisms have been described according to the type of DNA damage. For instance, in the repair of double-strand DNA breaks, the high-fidelity homologous recombination (HR) or the error-prone non-homologous end-joining (NHEJ) are involved [59] (Figure 2). On the other hand, nucleotide excision repair (NER) is induced by DNA adducts [60] and single-stranded DNA breaks are repaired by base-excision repair (BER) [61]. Generally, DDDs can trigger several DNA repair responses, as has been revealed in the case of gemcitabine-based treatment, which can induce either NHEJ [62] or HR [63]. Nonetheless, some trends with certain chemotherapeutic treatments have been identified, such as NER activation to overcome DNA adducts caused by alkylating platinum compounds [64]. However, HR repair machinery has also been shown to be involved in the resolution of DNA damage induced by a wide spectrum of cytotoxic agents, including gemcitabine, 5-FU, cisplatin, and doxorubicin [5]. The development of suitable experimental protocols to simultaneously test a broad range of DNA repair responses may be of great interest. In regard to this, Ge and co-workers pointed out that the transcriptional profiling of DNA repair-associated genes does not always correlate with the real DNA repair capacity. Therefore, they developed a “cometchip platform” based on the previously established comet assay that is suitable for the parallel assessment of multiple repair pathways such as BER, NER, and NHEJ [61]. Furthermore, it may be relevant to note that DNA damage and, thus, the DNA repair capacity can also be enhanced in some cellular contexts that are different from the exposure to therapeutic compounds. For instance, a high-proliferative phenotype may elicit excessive proliferative stress, which has been associated with the overactivation of DNA repair signaling [65]. On the other hand, a close correlation between chronic inflammation and the induction of oxidative stress and DNA damage has been established [66]. Considering the uncontrolled proliferation of tumor cells and the documented pro-inflammatory microenvironment surrounding solid tumors since the earliest stages of their growth [67], a remarkable DNA repair capacity even in the absence of antitumor drugs seems like a reasonable suggestion. Importantly, the reinforcement of DDRs by a pro-inflammatory microenvironment may be a significant difference between in vitro and in vivo chemoresistance-based studies.
Parallelly, cell cycle arrest promoted by DNA damage is a well-known cellular response in physiological conditions [68]. In fact, DNA-induced cell cycle arrest after chemotherapy might be a pro-survival cellular response, which may lead to chemoresistance by providing sufficient time to complete DNA repair. However, some studies have interpreted the inhibition of DNA damage-mediated cell cycle arrest by a cancerous cell as a drug-resistant mechanism [69]. With regard to this controversy, the authors also noted the importance of carefully considering the balance between the DNA repair potential and the cell cycle arrest/growth inhibition in chemoresistance-based research. Moreover, distinguishing between punctual/short-term cell cycle arrest and permanent/long-term cell cycle blockade (also known as “cellular senescence”), both promoted by DNA damage, may be relevant to clarify such a dichotomy. In this sense, the induction of cellular senescence in several types of cancers upon treatment with doxorubicin and etoposide has been shown [70]. On one hand, the induction of tumor senescence as an anti-cancer strategy to inhibit tumor proliferation and growth has been considered [71]. Nevertheless, the plasticity and reversibility of the senescent-like phenotype leading to a more aggressive and invasive behavior and even the promotion of disease relapse and metastasis have also been pointed out [70]. Interestingly, these are well-documented negative events that are closely related to the CSC population, the EMT process, and chemoresistance [72]. In agreement, the promotion of cellular senescence and a stem-like phenotype after sustained and long-term DNA-damaging conditions, i.e., radiotherapy, has been identified [73]. Additionally, it has been indicated that DDDs can also be associated with the EMT process and tumorogenesis [74]. Therefore, cellular senescence and the acquisition of a CSC-like phenotype seem to support chemotherapy through pro-survival tumor cell behavior [12].

5. p53 and Reactive Oxygen Species (ROS) Levels: Role in Chemoresistance

Nuclear DNA damage triggers cell death mainly by the activation of p53, also known as “the guardian of the genome” [75]. In fact, p53 phosphorylation leads to the phosphorylation cascade toward apoptosis-based cell death [55]. In healthy cells, the expression of p53 is usually low, with a half-life of about 20 min [76]. However, after cellular stress, the p53 half-life extends to several hours, promoting different responses such as cell-cycle arrest, senescence, apoptosis, regulation of cellular energy metabolism, antioxidant defense, DNA repair, and immune system regulation [77]. Accordingly, the mutant p53 protein has been shown to interfere with a variety of processes such as the regulation of cell survival, DNA damage repair, and drug resistance [78]. p53 versatility has been shown to be driven by different levels of phosphorylation and it has been shown that p53 can act as a “cell cycle arrestor” permitting DNA repair and cell survival when it is phosphorylated on Serine15 (Ser15) and/or Serine20 (Ser20). Nevertheless, additional phosphorylation on Ser46 under severe DNA damage conditions may change its role to “killer”, leading to apoptosis [55]. In summary, as a cellular “gatekeeper”, p53 recognizes whether DNA damage is irrevocable and acts accordingly by inducing apoptosis [77,79]. Therefore, p53 plays a dual role by activating either a mechanism that leads to apoptosis or one that enhances DNA repair and cell survival.
The mutated p53 gene (TP53) has been detected in approximately 50% of all human tumors, such as breast, brain, lung, or colorectal carcinomas, among others [80], which may deeply condition the prognosis and clinical outcomes of oncological patients. Particularly, germline p53 mutants are mainly associated with Li–Fraumeni Syndrome, which is characterized by a high risk of oncogenesis [80,81]. Some mutations can make the p53 protein unable to recognize and interact with p53-binding sites located in its target genes. In accordance with this, Donzelli and co-workers (2012) showed that mutant p53 conferred tolerance to doxorubicin, cisplatin and 5-FU by procaspase-3 downregulation, and apoptosis inhibition [82].
Furthermore, p53 mutations promote the acquisition of new and distinct oncogenic properties by interacting with different genes, which is generally referred to as “gain of function” alterations (GOF) [83]. Specifically, mutant p53 can reach the promoter of target genes through the interaction with several sequence-specific transcription factors including NF-Y, E2F1, NF-kB, and the Vitamin D receptor (VDR) [84]. GOF mutations may promote tumor progression and possibly lead to resistance to a variety of anticancer drugs. For instance, studies have shown that mutant p53 may be associated with chemoresistance in an independent way of its pro-apoptotic role, increasing the expression of the MDR1 efflux pump (ABCB1) [85]. Additionally, a relationship between mutant p53 and EFNB2 (ephrin-B2), a receptor tyrosine kinase involved in cell invasion, migration, angiogenesis, and tumor resistance, has been established [86]. Moreover, it was reported that mutant p53 increases EFNB2 expression in colorectal carcinoma cell lines upon treatment with 5-FU [87]. The authors also showed that EFNB2 induced 5-FU resistance through the upregulation of the ABCG2 drug efflux transporter, mediated by the activation of the c-Jun/JNK signaling pathway. Further, it has been observed that p53 knockdown reduced cell proliferation and resistance to cisplatin, adriamycin, and etoposide in several cancer cell lines [88]. On the contrary, an overexpression of p53 has been associated with gemcitabine tolerance in pancreatic cancer [89]. Thus, p53 phosphorylation status and not only its expression patterns should be taken into account to explain observed controversies regarding p53 expression and chemoresistance.
Apart from the high rate of TP53 mutations, the remaining 50% of cancers may exhibit p53 dysregulation or alterations in p53-related pathways [90]. To note, it has recently been discovered that the overexpression of CD147 may promote the acquisition of gemcitabine resistance by pancreatic tumor cells by interfering with the activation of p53 upon ATM/ATR/p53 complex formation, thus preventing cell apoptosis (REF: CD147). Similarly, the overexpression of MSIM2 may cause resistance to gemcitabine and cisplatin in pancreatic cancer by negatively regulating p53 (REF: MSIM2). Notably, p53 has been documented to control its protein levels through a negative feedback loop involving MDM2 [91]. P53 can act as a transcription factor activating MDM2, which can then enhance p53 protein ubiquitination and degradation [92]. Upon cellular stress, mediated for example by DNA damage, MDM2 activity decreases, leading to an increase in p53 levels through its protein stabilization (non-degradation) [93]. As a consequence, a re-increase in MDM2 is observed, which in turn, may promote p53 protein degradation. In physiological conditions, nuclear concentrations of both p53 and MDM2 may be mutually maintained at low levels [91]. Nonetheless, the dysregulation of MDM2/p53 balance could be associated with severe disorders such as tumorigenesis and poor clinical prognosis [93], hence, interfering with such a feedback control may represent a promising therapeutic strategy in oncology. In addition, p53 dysregulation could also lead to deficient immune system responses [94], which may play a key role in cancer immune evasion. For instance, Major Histocompatibility Complex Class I (MHC-I) was described to be positively regulated by p53, promoting damaged cell recognition by T cells.
Parallelly, reactive oxygen species (ROS) levels have been reported to be increased in cancerous cells due to both environmental (smoking or UV) and internal mechanisms (ROS are considered as an inevitable by-product of cellular metabolism). Therefore, the increased metabolism of high-proliferative cancerous cells may result in elevated ROS production [95]. Furthermore, ROS generation can be related to well-known cancer features, for instance, the overactivation of oncogenes such as C-myc, Kras, or BRCA1, or the alteration of integrins during metastasis. In cancer cells, ROS could play a dual role: under basal conditions, ROS play a critical role in maintaining cellular proliferation and homeostasis [96], whereas high ROS concentrations may inhibit cell cycle progression and induce apoptosis [97] (Figure 2). Relevantly, many anticancer compounds, namely doxorubicin, cisplatin, or 5-FU, can induce DNA damage by further promoting the accumulation of ROS and thereby enhancing apoptosis [58]. Importantly, this study also indicated that ROS, like H2O2, can trigger the activation/phosphorylation of p53 through a DDR-independent manner. Strikingly, mutant p53 can also induce ROS accumulation due to the loss of its antioxidant potential, i.e., by causing antioxidant enzyme imbalance [98]. Hence, p53 mutations can contribute, at least in part, to the intracellular ROS accumulation and thus, to the genomic instability characteristics of malignant cells [99]. As it has been revealed that cancer cells could enhance their antioxidant mechanisms to counterbalance excessive oxidative stress, this could be considered as chemoresistant behavior. For instance, the overexpression of antioxidant enzyme Isocitrate Dehydrogenase 1 (IDH1) reduced ROS levels and promoted gemcitabine resistance in pancreatic ductal adenocarcinoma [100]. Similarly, cisplatin can interact with endogenous nucleophiles such as reduced glutathione (GSH), which makes the redox balance prone to oxidative stress [101]. Thus, the observed susceptibility of cisplatin-based treatments to cytoprotective antioxidant molecules [102,103] may be determined in a double way: ROS direct neutralization and cisplatin activity mitigation by the overexpression of GSH. Several resistant routes can be triggered in response to elevated ROS levels, involving endoplasmic reticulum (ER) stress, autophagy, cell cycle perturbations, and the acquisition of a CSC-like phenotype through the EMT process [104]. Supporting the malignant cells’ adaptation to high ROS accumulation, recent evidence suggests that prolonged chemotherapy can reduce the overall ROS concentration, thus leading to drug tolerance [105]. As an additional example, gemcitabine-induced oxidative stress accompanied by an increase in antioxidant genes, i.e., NRF2, SOD1, SOD2, CAT, or GPX1, has been demonstrated [106]. Additionally, oxygen availability may significantly determine anticancer drug efficiency. While hypoxic conditions may limit ROS production, the recovery of normal oxygen levels can elevate the cytotoxicity of DDDs, such as doxorubicin, by increasing the generation of ROS and ultimately, alleviating the chemoresistance [107]. Therefore, the development of hypoxic environments in almost all solid malignancies may represent an important difference between in vitro and in vivo and/or clinical studies. However, the therapeutic feasibility of pro-oxidant drugs in cancer with mutant p53 status remains to be well-defined [108].

6. Chemoresistance: Targeting CSCs as an Alternative Approach

As revised in previous sections, the acquisition of a quiescent, CSC-like phenotype by well-differentiated cancerous cells provides them with sufficient time for successful DNA repair after the cytotoxic assault. Nevertheless, CSCs chemoresistance can rely on multiple additional mechanisms. Indeed, the correlation between breast, colorectal, and lung CSCs, the upregulation of ABC family members, such as ABCC1, and the cisplatin and doxorubicin tolerance have been demonstrated [109] (Figure 3). Moreover, it has been revealed in a colorectal cancer study using 5-FU as a chemotherapeutic agent that a high drug metabolic detoxification capacity is a typical property of dormant CSCs [110]. In addition, CSCs usually exhibit enhanced DNA repair mechanisms in a similar way to healthy stem cells, which may lead to increased DDDs tolerance (Figure 3). What is more, the key importance of DNA repair-related pathways/proteins in the maintenance of a CSC-like phenotype, for instance, by regulating the EMT process, has been reported [111]. The chemoresistance capacity of CSCs also relies on avoiding apoptosis mediated by the enhancement of BCL2 family proteins, such as BCL-XL, as has been determined by the Medema group in a colorectal cancer study [112]. Interestingly, they documented the reliance of different antiapoptotic proteins according to the tumor progression stage, which may suggest the existence of distinct antiapoptotic mechanisms between healthy cells, well-differentiated cancerous cells, and CSCs. Altogether, these data reinforce the crucial importance of developing therapeutic strategies with the aim of eliminating such a cancer cell subpopulation (Figure 3).
In a tumor mass and surroundings, the CSCs population is maintained by the dedifferentiation of tumors cells located in the borders (revised in Hernández-Camarero et al., 2018) [113]. Thus, CSCs are a population that subsists after chemotherapy, enhance drug resistance, and reappear constantly upon tumor cell dedifferentiation. All these facts make the development of long-term therapies to manage and control the revival of CSCs populations necessary, while avoiding chemotherapy that is associated severe side effects (Figure 3).
In this regard, strategies that control and deregulate the CSCs population are interesting approaches.
For instance, targeting pathways that regulate CSCs has been proposed. One of the main candidates has been the Notch pathway and to this end, different strategies have been tested: (i) gamma-secretase inhibitors (GSIs) [114]; (ii) monoclonal antibodies targeting Notch signaling [115], and (iii) pan-Notch inhibition [116]. Another strong candidate has been the Wnt pathway, whose inhibition has been achieved by an IgG4 mAb (DKN-01) that targets Dkk1 and suppresses canonical Wnt signaling via negative feedback [117]. In addition, efforts have been undertaken to control the hedgehog signaling pathway, with the use of SMO inhibitors and GLI inhibitors [118]. Furthermore, CSC-directed immunotherapy has also received attention. CSC lysates are used to generate CSC-specific T cells that directly target the subpopulation of CSCs within tumors [119]. The relevance of these approaches is supported by their translation to the clinical arena. In fact, several clinical trials on therapies targeting CSCs are actually ongoing or have already been completed [120].
Nevertheless, the depletion of CSCs by itself has not been shown to be effective in reducing chemoresistance because other factors, such as the tumor microenvironment (TME) [121], play a key role in CSC regulation and stem maintenance via the transition of non-stem cells to stem cell states [122]. Thus, strategies should focus on directing CSCs differentiation (Figure 3) instead of CSCs eradication.
In conclusion, the development of novel therapeutic approaches directed against CSCs and the TME could reduce chemoresistance and the associated adverse effects.

Author Contributions

The study was designed by B.T., A.G.-T., P.H.-C. and M.P., B.T. and A.G.-T. wrote the manuscript. P.H.-C. and M.P. revised critically and corrected thoroughly the manuscript. All authors have read and agreed to the published version of the manuscript.

Funding

This work has been funded by the University of Jaen, Acción I apoyo a la investigación (BIO-349). Pablo Hernández-Camarero is supported by an FPU grant from the Ministry of Education.

Institutional Review Board Statement

Not applicable.

Informed Consent Statement

Not applicable.

Data Availability Statement

Not applicable.

Acknowledgments

We thank Shivan Barungi for her careful English editing of the manuscript. The images were made using biorender.com.

Conflicts of Interest

The authors declare no conflict of interest.

Abbreviations

5-FU5-Fluorouracil
ABCATP-Binding Cassette
BERBase-Excision Repair
CDACytidine Deaminase
CDPCytidine Diphosphate
CDTDDeoxycytidine Monophosphate Deaminase
CSCsCancer Stem-Like Cells
dCDADeoxycytidine Deaminase
dCDPDeoxycytidine Diphosphate
dCKDeoxycytidine Kinase
dCTPDeoxycytidine Triphosphate
DDDsDNA-Damaging Drugs
DDRs DNA-Damage Responses
dFdCGemcitabine
dFdCDPGemcitabine Diphosphate
dFdCMPGemcitabine Monophosphate
dFdCTPGemcitabine Triphosphate
dFdU2′,2′-Difluorodeoxyuridine
dFdUMP2′,2′-Difluorodeoxyuridine Monophosphate
dFdUTP2′,2′-Difluorodeoxyuridine Triphosphate
DFDCDPDifluorodeoxycytidine Diphosphate
DFDCMPDifluorodeoxycytidine Monophosphate
DFDCTPDifluorodeoxycytidine Triphosphate
DNADeoxyribonucleic Acid
DPDDihydropyrimidine Dehydrogenase
dTMPDeoxythymidine Monophosphate
EMTEpithelial-to-Mesenchymal Transition
EREndoplasmic Reticulum
FDUMPFluorodeoxyuridine Monophosphate
GemGemcitabine
GOFGain Of Functions
GSIs Gamma-Secretase Inhibitors
GSHGlutathione
HRHomologous Recombination
IC50Half-Maximal Inhibitory Concentration
IDH1Isocitrate Dehydrogenase 1
JAK/STAT3Janus kinase/Signal Transducers and Activators of Transcription
MHCMajor Histocompatibility Complex Class
MVPMajor Vault Protein
NDPKNucleoside Diphosphate Kinase
NERNucleotide Excision Repair
NHEJNon-Homologous End-Joining
NMPKNucleoside Monophosphate Kinase
OATPOrganic Anionic Transporter
OCTOrganic Cation Transport
ROSReactive Oxygen Species
RNARibonucleic Acid
RRRibonucleotide Reductase
SerSerine
TAMsTumor-Associated Macrophages
TME Tumor Microenvironment
TK1Thymidine Kinase 1
TSThymidine Synthase
VDRVitamin D Receptor
VRACVolume-Regulated Anion Channel

References

  1. Zhang, Z.; Zhang, C.; Yang, Z.; Zhang, G.; Wu, P.; Luo, Y.; Zeng, Q.; Wang, L.; Xue, Q.; Zhang, Y.; et al. m6A regulators as predictive biomarkers for chemotherapy benefit and potential therapeutic targets for overcoming chemotherapy resistance in small-cell lung cancer. J. Hematol. Oncol. 2021, 14, 190. [Google Scholar] [CrossRef] [PubMed]
  2. Nakano, Y.; Tanno, S.; Koizumi, K.; Nishikawa, T.; Nakamura, K.; Minoguchi, M.; Izawa, T.; Mizukami, Y.; Okumura, T.; Kohgo, Y. Gemcitabine chemoresistance and molecular markers associated with gemcitabine transport and metabolism in human pancreatic cancer cells. Br. J. Cancer 2007, 96, 457–463. [Google Scholar] [CrossRef] [PubMed]
  3. Yoneyama, H.; Takizawa-Hashimoto, A.; Takeuchi, O.; Watanabe, Y.; Atsuda, K.; Asanuma, F.; Yamada, Y.; Suzuki, Y. Acquired resistance to gemcitabine and cross-resistance in human pancreatic cancer clones. Anticancer Drugs 2015, 26, 90–100. [Google Scholar] [CrossRef]
  4. Geller, L.T.; Barzily-Rokni, M.; Danino, T.; Jonas, O.H.; Shental, N.; Nejman, D.; Gavert, N.; Zwang, Y.; Cooper, Z.A.; Shee, K.; et al. Potential role of intratumor bacteria in mediating tumor resistance to the chemotherapeutic drug gemcitabine. Science 2017, 357, 1156–1160. [Google Scholar] [CrossRef] [Green Version]
  5. Imyanitov, E.N.; Iyevleva, A.G. Molecular tests for prediction of tumor sensitivity to cytotoxic drugs. Cancer Lett. 2021, 526, 41–52. [Google Scholar] [CrossRef] [PubMed]
  6. Markowicz-Piasecka, M.; Huttunen, J.; Montaser, A.; Adla, S.; Auriola, S.; Lehtonen, M.; Huttunen, K. Ganciclovir and Its Hemocompatible More Lipophilic Derivative Can Enhance the Apoptotic Effects of Methotrexate by Inhibiting Breast Cancer Resistance Protein (BCRP). Int. J. Mol. Sci. 2021, 22, 7727. [Google Scholar] [CrossRef]
  7. Petruzzelli, R.; Mariniello, M.; De Cegli, R.; Catalano, F.; Guida, F.; Di Schiavi, E.; Polishchuk, R.S. TFEB Regulates ATP7B Expression to Promote Platinum Chemoresistance in Human Ovarian Cancer Cells. Cells 2022, 11, 219. [Google Scholar] [CrossRef]
  8. Tsukahara, S.; Shiota, M.; Takamatsu, D.; Nagakawa, S.; Matsumoto, T.; Kiyokoba, R.; Yagi, M.; Setoyama, D.; Noda, N.; Matsumoto, S.; et al. Cancer genomic profiling identified dihydropyrimidine dehydrogenase deficiency in bladder cancer promotes sensitivity to gemcitabine. Sci. Rep. 2022, 12, 8535. [Google Scholar] [CrossRef] [PubMed]
  9. Zhou, W.; Xu, Y.; Zhang, J.; Zhang, P.; Yao, Z.; Yan, Z.; Wang, H.; Chu, J.; Yao, S.; Zhao, S.; et al. MiRNA-363-3p/DUSP10/JNK axis mediates chemoresistance by enhancing DNA damage repair in diffuse large B-cell lymphoma. Leukemia 2022, 36, 1861–1869. [Google Scholar] [CrossRef]
  10. Kobayashi, T.; Makino, T.; Yamashita, K.; Saito, T.; Tanaka, K.; Takahashi, T.; Kurokawa, Y.; Yamasaki, M.; Nakajima, K.; Morii, E.; et al. APR-246 induces apoptosis and enhances chemo-sensitivity via activation of ROS and TAp73-Noxa signal in oesophageal squamous cell cancer with TP53 missense mutation. Br. J. Cancer 2021, 125, 1523–1532. [Google Scholar] [CrossRef]
  11. Zhou, L.; Wang, D.; Sheng, D.; Xu, J.; Chen, W.; Qin, Y.; Du, R.; Yang, X.; He, X.; Xie, N.; et al. NOTCH4 maintains quiescent mesenchymal-like breast cancer stem cells via transcriptionally activating SLUG and GAS1 in triple-negative breast cancer. Theranostics 2020, 10, 2405–2421. [Google Scholar] [CrossRef]
  12. Tang, M.; Hernandez, L.L.; Reginald-Opara, J.N.; Svirskis, D.; Leung, E.; Wang, H.; Wu, Z. Zebularine suppressed gemcitabine-induced senescence and improved the cellular and plasma pharmacokinetics of gemcitabine, augmented by liposomal co-delivery. Int. J. Pharm. 2021, 602, 120659. [Google Scholar] [CrossRef]
  13. Madjd, Z.; Mehrjerdi, A.Z.; Sharifi, A.M.; Molanaei, S.; Shahzadi, S.Z.; Asadi-Lari, M. CD44+ cancer cells express higher levels of the anti-apoptotic protein Bcl-2 in breast tumours. Cancer Immun. 2009, 9, 4. [Google Scholar] [PubMed]
  14. Chen, K.; Zhang, C.; Ling, S.; Wei, R.; Wang, J.; Xu, X. The metabolic flexibility of quiescent CSC: Implications for chemotherapy resistance. Cell Death Dis. 2021, 12, 1–12. [Google Scholar] [CrossRef]
  15. Moitra, K.; Lou, H.; Dean, M. Multidrug Efflux Pumps and Cancer Stem Cells: Insights Into Multidrug Resistance and Therapeutic Development. Clin. Pharmacol. Ther. 2011, 89, 491–502. [Google Scholar] [CrossRef] [PubMed]
  16. Nandi, S.K.; Roychowdhury, T.; Chattopadhyay, S.; Basu, S.; Chatterjee, K.; Choudhury, P.; Banerjee, N.; Saha, P.; Mukhopadhyay, S.; Mukhopadhyay, A.; et al. Deregulation of the CD44-NANOG-MDR1 associated chemoresistance pathways of breast cancer stem cells potentiates the anti-cancer effect of Kaempferol in synergism with Verapamil. Toxicol. Appl. Pharmacol. 2022, 437, 115887. [Google Scholar] [CrossRef]
  17. Corrales, E.; Levit-Zerdoun, E.; Metzger, P.; Mertes, R.; Lehmann, A.; Münch, J.; Lemke, S.; Kowar, S.; Boerries, M. PI3K/AKT signaling allows for MAPK/ERK pathway independency mediating dedifferentiation-driven treatment resistance in melanoma. Cell Commun. Signal. 2022, 20, 1–19. [Google Scholar] [CrossRef]
  18. Zhou, F.; Qi, Y.; Geng, Z.; Ding, B.; Liu, L. Activation of Wnt/β-Catenin signaling in EpCAMhigh/CD44+ cells endow colorectal cancer with tumor proliferation and oxaliplatin chemoresistance. Comb. Chem. High Throughput Screen. 2023. [Google Scholar] [CrossRef]
  19. Matou-Nasri, S.; Najdi, M.; Abu AlSaud, N.; Alhaidan, Y.; Al-Eidi, H.; Alatar, G.; AlWadaani, D.; Trivilegio, T.; AlSubait, A.; AlTuwaijri, A.; et al. Blockade of p38 MAPK overcomes AML stem cell line KG1a resistance to 5-Fluorouridine and the impact on miRNA profiling. PLoS ONE 2022, 17, e0267855. [Google Scholar] [CrossRef] [PubMed]
  20. Jin, W. Role of JAK/STAT3 Signaling in the Regulation of Metastasis, the Transition of Cancer Stem Cells, and Chemoresistance of Cancer by Epithelial-Mesenchymal Transition. Cells 2020, 9, 217. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  21. Yu, H.; Lee, H.; Herrmann, A.; Buettner, R.; Jove, R. Revisiting STAT3 signalling in cancer: New and unexpected biological functions. Nat. Rev. Cancer 2014, 14, 736–746. [Google Scholar] [CrossRef] [PubMed]
  22. Wang, T.; Fahrmann, J.F.; Lee, H.; Li, Y.-J.; Tripathi, S.C.; Yue, C.; Zhang, C.; Lifshitz, V.; Song, J.; Yuan, Y.; et al. JAK/STAT3-Regulated Fatty Acid β-Oxidation Is Critical for Breast Cancer Stem Cell Self-Renewal and Chemoresistance. Cell Metab. 2018, 27, 136–150.e5. [Google Scholar] [CrossRef] [Green Version]
  23. Min, H.; Cho, J.; Sim, J.Y.; Boo, H.; Lee, J.; Lee, S.; Lee, Y.; Kim, S.J.; Kim, K.; Park, I.; et al. S100A14: A novel negative regulator of cancer stemness and immune evasion by inhibiting STAT3-mediated programmed death-ligand 1 expression in colorectal cancer. Clin. Transl. Med. 2022, 12, e986. [Google Scholar] [CrossRef]
  24. Izutsu, M.; Domoto, T.; Kamoshida, S.; Ohsaki, H.; Matsuoka, H.; Umeki, Y.; Shiogama, K.; Hirayama, M.; Suda, K.; Uyama, I. Expression status of p53 and organic cation transporter 1 is correlated with poor response to preoperative chemotherapy in esophageal squamous cell carcinoma. World J. Surg. Oncol. 2022, 20, 105. [Google Scholar] [CrossRef]
  25. Otter, M.; Csader, S.; Keiser, M.; Oswald, S. Expression and Functional Contribution of Different Organic Cation Transporters to the Cellular Uptake of Doxorubicin into Human Breast Cancer and Cardiac Tissue. Int. J. Mol. Sci. 2021, 23, 255. [Google Scholar] [CrossRef] [PubMed]
  26. Yin, W.; Xiang, D.; Wang, T.; Zhang, Y.; Pham, C.V.; Zhou, S.; Jiang, G.; Hou, Y.; Zhu, Y.; Han, Y.; et al. The inhibition of ABCB1/MDR1 or ABCG2/BCRP enables doxorubicin to eliminate liver cancer stem cells. Sci. Rep. 2021, 11, 10791. [Google Scholar] [CrossRef] [PubMed]
  27. Ceballos, M.P.; Rigalli, J.P.; Ceré, L.I.; Semeniuk, M.; Catania, V.A.; Ruiz, M.L. ABC Transporters: Regulation and Association with Multidrug Resistance in Hepatocellular Carcinoma and Colorectal Carcinoma. Curr. Med. Chem. 2019, 26, 1224–1250. [Google Scholar] [CrossRef] [PubMed]
  28. Lagares, L.M.; Pérez-Castillo, Y.; Minovski, N.; Novič, M. Structure–Function Relationships in the Human P-Glycoprotein (ABCB1): Insights from Molecular Dynamics Simulations. Int. J. Mol. Sci. 2021, 23, 362. [Google Scholar] [CrossRef]
  29. Huo, J.; Fu, L.; Jin, M.; Li, Z.; Zhang, M. IL-10 contributes to gemcitabine resistance in extranodal NK/T-cell lymphoma cells via ABCC4. Investig. New Drugs 2022, 40, 537–545. [Google Scholar] [CrossRef]
  30. Xu, H.; Li, Y.; Paxton, J.W.; Wu, Z. Co-Delivery Using pH-Sensitive Liposomes to Pancreatic Cancer Cells: The Effects of Curcumin on Cellular Concentration and Pharmacokinetics of Gemcitabine. Pharm. Res. 2021, 38, 1209–1219. [Google Scholar] [CrossRef]
  31. Liu, M.; Zhang, Y.; Yang, J.; Cui, X.; Zhou, Z.; Zhan, H.; Ding, K.; Tian, X.; Yang, Z.; Fung, K.-M.A.; et al. ZIP4 Increases Expression of Transcription Factor ZEB1 to Promote Integrin α3β1 Signaling and Inhibit Expression of the Gemcitabine Transporter ENT1 in Pancreatic Cancer Cells. Gastroenterology 2020, 158, 679–692.e1. [Google Scholar] [CrossRef]
  32. Zeng, W.; Zheng, S.; Mao, Y.; Wang, S.; Zhong, Y.; Cao, W.; Su, T.; Gong, M.; Cheng, J.; Zhang, Y.; et al. Elevated N-Glycosylation Contributes to the Cisplatin Resistance of Non-Small Cell Lung Cancer Cells Revealed by Membrane Proteomic and Glycoproteomic Analysis. Front. Pharmacol. 2021, 12, 805499. [Google Scholar] [CrossRef] [PubMed]
  33. Li, L.; Chen, C.; Xiang, Q.; Fan, S.; Xiao, T.; Chen, Y.; Zheng, D. Transient Receptor Potential Cation Channel Subfamily V Member 1 Expression Promotes Chemoresistance in Non-Small-Cell Lung Cancer. Front. Oncol. 2022, 12, 773654. [Google Scholar] [CrossRef]
  34. Delhorme, J.-B.; Bersuder, E.; Terciolo, C.; Vlami, O.; Chenard, M.-P.; Martin, E.; Rohr, S.; Brigand, C.; Duluc, I.; Freund, J.-N.; et al. CDX2 controls genes involved in the metabolism of 5-fluorouracil and is associated with reduced efficacy of chemotherapy in colorectal cancer. Biomed. Pharmacother. 2022, 147, 112630. [Google Scholar] [CrossRef] [PubMed]
  35. Jain, N.; Das, B.; Mallick, B. miR-197-5p increases Doxorubicin-mediated anticancer cytotoxicity of HT1080 fibrosarcoma cells by decreasing drug efflux. DNA Repair 2021, 109, 103259. [Google Scholar] [CrossRef] [PubMed]
  36. Lehuédé, C.; Li, X.; Dauvillier, S.; Vaysse, C.; Franchet, C.; Clement, E.; Esteve, D.; Longué, M.; Chaltiel, L.; Le Gonidec, S.; et al. Adipocytes promote breast cancer resistance to chemotherapy, a process amplified by obesity: Role of the major vault protein (MVP). Breast Cancer Res. 2019, 21, 7. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  37. Algehani, R.A.; Khouzam, R.A.; Hegazy, G.A.; Alamoudi, A.A.; El-Halawany, A.M.; El Dine, R.S.; Ajabnoor, G.A.; Al-Abbasi, F.A.; Baghdadi, M.A.; Elsayed, I.; et al. Colossolactone-G synergizes the anticancer properties of 5-fluorouracil and gemcitabine against colorectal cancer cells. Biomed. Pharmacother. 2021, 140, 111730. [Google Scholar] [CrossRef]
  38. Forouzesh, D.C.; Moran, G.R. Mammalian dihydropyrimidine dehydrogenase. Arch. Biochem. Biophys. 2021, 714, 109066. [Google Scholar] [CrossRef]
  39. Zhang, Y.-H.; Shi, W.-N.; Wu, S.-H.; Miao, R.-R.; Sun, S.-Y.; Luo, D.-D.; Wan, S.-B.; Guo, Z.-K.; Wang, W.-Y.; Yu, X.-F.; et al. SphK2 confers 5-fluorouracil resistance to colorectal cancer via upregulating H3K56ac-mediated DPD expression. Oncogene 2020, 39, 5214–5227. [Google Scholar] [CrossRef]
  40. Talluri, S.; Samur, M.K.; Buon, L.; Kumar, S.; Potluri, L.B.; Shi, J.; Prabhala, R.H.; Shammas, M.A.; Munshi, N.C. Dysregulated APOBEC3G causes DNA damage and promotes genomic instability in multiple myeloma. Blood Cancer J. 2021, 11, 166. [Google Scholar] [CrossRef]
  41. Halbrook, C.J.; Pontious, C.; Kovalenko, I.; Lapienyte, L.; Dreyer, S.; Lee, H.-J.; Thurston, G.; Zhang, Y.; Lazarus, J.; Sajjakulnukit, P.; et al. Macrophage-Released Pyrimidines Inhibit Gemcitabine Therapy in Pancreatic Cancer. Cell Metab. 2019, 29, 1390–1399.e6. [Google Scholar] [CrossRef] [PubMed]
  42. Malier, M.; Gharzeddine, K.; Laverriere, M.-H.; Marsili, S.; Thomas, F.; Decaens, T.; Roth, G.; Millet, A. Hypoxia Drives Dihydropyrimidine Dehydrogenase Expression in Macrophages and Confers Chemoresistance in Colorectal Cancer. Cancer Res. 2021, 81, 5963–5976. [Google Scholar] [CrossRef]
  43. Kato, T.; Ono, H.; Fujii, M.; Akahoshi, K.; Ogura, T.; Ogawa, K.; Ban, D.; Kudo, A.; Tanaka, S.; Tanabe, M. Cytoplasmic RRM1 activation as an acute response to gemcitabine treatment is involved in drug resistance of pancreatic cancer cells. PLoS ONE 2021, 16, e0252917. [Google Scholar] [CrossRef]
  44. Zhang, Y.; Lei, Y.; Xu, J.; Hua, J.; Zhang, B.; Liu, J.; Liang, C.; Meng, Q.; Yu, X.; Shi, S. Role of Damage DNA-Binding Protein 1 in Pancreatic Cancer Progression and Chemoresistance. Cancers 2019, 11, 1998. [Google Scholar] [CrossRef] [Green Version]
  45. Yamamoto, M.; Sanomachi, T.; Suzuki, S.; Uchida, H.; Yonezawa, H.; Higa, N.; Takajo, T.; Yamada, Y.; Sugai, A.; Togashi, K.; et al. Roles for hENT1 and dCK in gemcitabine sensitivity and malignancy of meningioma. Neuro-Oncology 2021, 23, 945–954. [Google Scholar] [CrossRef]
  46. Öman, M.; Wettergren, Y.; Odin, E.; Westermark, S.; Naredi, P.; Hemmingsson, O.; Taflin, H. Pharmacokinetics of preoperative intraperitoneal 5-FU in patients with pancreatic ductal adenocarcinoma. Cancer Chemother. Pharmacol. 2021, 88, 619–631. [Google Scholar] [CrossRef]
  47. Klinhom-On, N.; Seubwai, W.; Sawanyawisuth, K.; Obchoei, S.; Mahalapbutr, P.; Wongkham, S. FOXM1 inhibitor, Siomycin A, synergizes and restores 5-FU cytotoxicity in human cholangiocarcinoma cell lines via targeting thymidylate synthase. Life Sci. 2021, 286, 120072. [Google Scholar] [CrossRef]
  48. Li, Y.-P.; Liu, Y.; Xiao, L.-M.; Chen, L.-K.; Tao, E.-X.; Zeng, E.-M.; Xu, C.-H. Induction of cancer cell stemness in glioma through glycolysis and the long noncoding RNA HULC-activated FOXM1/AGR2/HIF-1α axis. Lab. Investig. 2022, 102, 691–701. [Google Scholar] [CrossRef] [PubMed]
  49. Han, T.; Jiang, Y.; Wang, X.; Deng, S.; Hu, Y.; Jin, Q.; Long, D.; Liu, K. 3D matrix promotes cell dedifferentiation into colorectal cancer stem cells via integrin/cytoskeleton/glycolysis signaling. Cancer Sci. 2022, 113, 3826–3837. [Google Scholar] [CrossRef] [PubMed]
  50. Luo, M.; Li, J.-F.; Yang, Q.; Zhang, K.; Wang, Z.-W.; Zheng, S.; Zhou, J.-J. Stem cell quiescence and its clinical relevance. World J. Stem Cells 2020, 12, 1307–1326. [Google Scholar] [CrossRef]
  51. Cruz-Bermúdez, A.; Laza-Briviesca, R.; Vicente-Blanco, R.J.; García-Grande, A.; Coronado, M.J.; Laine-Menéndez, S.; Palacios-Zambrano, S.; Moreno-Villa, M.R.; Ruiz-Valdepeñas, A.M.; Lendinez, C.; et al. Cisplatin resistance involves a metabolic reprogramming through ROS and PGC-1α in NSCLC which can be overcome by OXPHOS inhibition. Free Radic. Biol. Med. 2019, 135, 167–181. [Google Scholar] [CrossRef] [PubMed]
  52. Tang, Y.; Zhu, L.; Chen, H.; Meng, S. Metabolomics analysis reveals Oct4 overexpression drives metabolic reprogramming and enhanced glycolysis and pentose phosphate pathway in lung adenocarcinoma cells. Biomed. Chromatogr. 2022, 36, 1–9. [Google Scholar] [CrossRef]
  53. Siddiqui, A.; Gollavilli, P.N.; Schwab, A.; Vazakidou, M.E.; Ersan, P.G.; Ramakrishnan, M.; Pluim, D.; Coggins, S.; Saatci, O.; Annaratone, L.; et al. Thymidylate synthase maintains the de-differentiated state of triple negative breast cancers. Cell Death Differ. 2019, 26, 2223–2236. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  54. Wang, S.; Wang, X.; Wu, Z.; Yang, Q.; Xiong, H.; Xiao, Y.; Li, H.; Sun, Z. Overexpression of RRM2 is related to poor prognosis in oral squamous cell carcinoma. Oral Dis. 2020, 27, 204–214. [Google Scholar] [CrossRef]
  55. Visser, H.; Thomas, A.D. MicroRNAs and the DNA damage response: How is cell fate determined? DNA Repair 2021, 108, 103245. [Google Scholar] [CrossRef] [PubMed]
  56. Zhou, Y.; Zheng, M.; Liu, Z.; Yang, H.; Zhu, P.; Jiang, J.-L.; Tang, J.; Chen, Z.-N. CD147 promotes DNA damage response and gemcitabine resistance via targeting ATM/ATR/p53 and affects prognosis in pancreatic cancer. Biochem. Biophys. Res. Commun. 2020, 528, 62–70. [Google Scholar] [CrossRef] [PubMed]
  57. Li, F.; Lo, T.Y.; Miles, L.; Wang, Q.; Noristani, H.N.; Li, D.; Niu, J.; Trombley, S.; Goldshteyn, J.I.; Wang, C.; et al. The Atr-Chek1 pathway inhibits axon regeneration in response to Piezo-dependent mechanosensation. Nat. Commun. 2021, 12, 3845. [Google Scholar] [CrossRef]
  58. Shi, T.; van Soest, D.M.; Polderman, P.E.; Burgering, B.M.; Dansen, T.B. DNA damage and oxidant stress activate p53 through differential upstream signaling pathways. Free. Radic. Biol. Med. 2021, 172, 298–311. [Google Scholar] [CrossRef]
  59. Wiegmans, A.P.; Ward, A.; Ivanova, E.; Duijf, P.H.G.; Adams, M.N.; Najib, I.M.; Van Oosterhout, R.; Sadowski, M.C.; Kelly, G.; Morrical, S.W.; et al. Genome instability and pressure on non-homologous end joining drives chemotherapy resistance via a DNA repair crisis switch in triple negative breast cancer. NAR Cancer 2021, 3, zcab022. [Google Scholar] [CrossRef] [PubMed]
  60. Sreekumar, R.; Al-Saihati, H.; Emaduddin, M.; Moutasim, K.; Mellone, M.; Patel, A.; Kilic, S.; Cetin, M.; Erdemir, S.; Navio, M.S.; et al. The ZEB2-dependent EMT transcriptional programme drives therapy resistance by activating nucleotide excision repair genes ERCC1 and ERCC4 in colorectal cancer. Mol. Oncol. 2021, 15, 2065–2083. [Google Scholar] [CrossRef]
  61. Ge, J.; Ngo, L.P.; Kaushal, S.; Tay, I.J.; Thadhani, E.; Kay, J.E.; Mazzucato, P.; Chow, D.N.; Fessler, J.L.; Weingeist, D.M.; et al. CometChip enables parallel analysis of multiple DNA repair activities. DNA Repair 2021, 106, 103176. [Google Scholar] [CrossRef]
  62. Guo, N.; Li, S.; Liu, B.; Chen, P.; Li, J.; Zhao, Y.; Zhao, Y.; Tang, J.; Zhang, W. Inhibiting nonhomologous end-joining repair would promote the antitumor activity of gemcitabine in nonsmall cell lung cancer cell lines. Anti-Cancer Drugs 2022, 33, 502–508. [Google Scholar] [CrossRef] [PubMed]
  63. Chen, Z.-W.; Hu, J.-F.; Wang, Z.-W.; Liao, C.-Y.; Kang, F.-P.; Lin, C.-F.; Huang, Y.; Huang, L.; Tian, Y.-F.; Chen, S. Circular RNA circ-MTHFD1L induces HR repair to promote gemcitabine resistance via the miR-615-3p/RPN6 axis in pancreatic ductal adenocarcinoma. J. Exp. Clin. Cancer Res. 2022, 41, 153. [Google Scholar] [CrossRef] [PubMed]
  64. Wood, R.D. Mammalian nucleotide excision repair proteins and interstrand crosslink repair. Environ. Mol. Mutagen. 2010, 51, 520–526. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  65. Ju, M.K.; Shin, K.J.; Lee, J.R.; Khim, K.W.; Lee, E.A.; Ra, J.S.; Kim, B.-G.; Jo, H.-S.; Yoon, J.H.; Kim, T.M.; et al. NSMF promotes the replication stress-induced DNA damage response for genome maintenance. Nucleic Acids Res. 2021, 49, 5605–5622. [Google Scholar] [CrossRef]
  66. Desai, A.S.; Sagar, V.; Lysy, B.; Weiner, A.B.; Ko, O.S.; Driscoll, C.; Rodriguez, Y.; Vatapalli, R.; Unno, K.; Han, H.; et al. Inflammatory bowel disease induces inflammatory and pre-neoplastic changes in the prostate. Prostate Cancer Prostatic Dis. 2021, 25, 463–471. [Google Scholar] [CrossRef]
  67. Hernández-Camarero, P.; López-Ruiz, E.; Griñán-Lisón, C.; García, M.; Chocarro-Wrona, C.; Marchal, J.A.; Kenyon, J.; Perán, M. Pancreatic (pro)enzymes treatment suppresses BXPC-3 pancreatic Cancer Stem Cell subpopulation and impairs tumour engrafting. Sci. Rep. 2019, 9, 11359. [Google Scholar] [CrossRef] [Green Version]
  68. Boice, A.G.; Lopez, K.E.; Pandita, R.K.; Parsons, M.J.; Charendoff, C.I.; Charaka, V.; Carisey, A.F.; Pandita, T.K.; Bouchier-Hayes, L. Caspase-2 regulates S-phase cell cycle events to protect from DNA damage accumulation independent of apoptosis. Oncogene 2021, 41, 204–219. [Google Scholar] [CrossRef]
  69. Bi, G.; Liang, J.; Zhao, M.; Zhang, H.; Jin, X.; Lu, T.; Zheng, Y.; Bian, Y.; Chen, Z.; Huang, Y.; et al. miR-6077 promotes cisplatin/pemetrexed resistance in lung adenocarcinoma via CDKN1A/cell cycle arrest and KEAP1/ferroptosis pathways. Mol. Ther. Nucleic Acids 2022, 28, 366–386. [Google Scholar] [CrossRef]
  70. Bloniarz, D.; Adamczyk-Grochala, J.; Lewinska, A.; Wnuk, M. The lack of functional DNMT2/TRDMT1 gene modulates cancer cell responses during drug-induced senescence. Aging 2021, 13, 15833–15874. [Google Scholar] [CrossRef]
  71. Wang, G.; Cheng, X.; Zhang, J.; Liao, Y.; Jia, Y.; Qing, C. Possibility of inducing tumor cell senescence during therapy (Review). Oncol. Lett. 2021, 22, 496. [Google Scholar] [CrossRef] [PubMed]
  72. de Oliveira, J.L.; Milan, T.M.; Bighetti-Trevisan, R.L.; Fernandes, R.R.; Leopoldino, A.M.; de Almeida, L.O. Epithelial–mesenchymal transition and cancer stem cells: A route to acquired cisplatin resistance through epigenetics in HNSCC. Oral Dis. 2022. [Google Scholar] [CrossRef] [PubMed]
  73. Svetličič, M.; Bomhard, A.; Sterr, C.; Brückner, F.; Płódowska, M.; Lisowska, H.; Lundholm, L. Alpha Radiation as a Way to Target Heterochromatic and Gamma Radiation-Exposed Breast Cancer Cells. Cells 2020, 9, 1165. [Google Scholar] [CrossRef] [PubMed]
  74. Anandi, L.; Chakravarty, V.; Ashiq, K.A.; Bodakuntla, S.; Lahiri, M. DNA-PK plays a central role in transformation of breast epithelial cells following alkylation damage. J. Cell Sci. 2017, 130, 3749–3763. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  75. Lane, D.P. p53, guardian of the genome. Nature 1992, 358, 15–16. [Google Scholar] [CrossRef]
  76. Smith, N.D.; Rubenstein, J.N.; Eggener, S.E.; Kozlowski, J.M. The p53 Tumor Suppressor Gene and Nuclear Protein: Basic Science Review and Relevance in the Management of Bladder Cancer. J. Urol. 2003, 169, 1219–1228. [Google Scholar] [CrossRef]
  77. Bai, L.; Zhu, W.G. P53: Structure, Function and Therapeutic Applications Keywords: P53 Posttranslational Modifications P53 Mutation Therapeutic Strategies. 2006. Volume 2. Available online: http://www.mupnet.com (accessed on 10 January 2023).
  78. Pilley, S.; Rodriguez, T.A.; Vousden, K.H. Mutant p53 in cell-cell interactions. Genes Dev. 2021, 35, 433–448. [Google Scholar] [CrossRef]
  79. Levine, A.J. p53, the Cellular Gatekeeper for Growth and Division. Cell 1997, 88, 323–331. [Google Scholar] [CrossRef] [Green Version]
  80. Olivier, M.; Hussain, S.P.; de Fromentel, C.C.; Hainaut, P.; Harris, C.C. TP53 mutation spectra and load: A tool for generating hypotheses on the etiology of cancer. IARC Sci. Publ. 2004, 157, 247–270. Available online: https://europepmc.org/article/med/15055300 (accessed on 10 January 2023).
  81. Lang, G.A.; Iwakuma, T.; Suh, Y.-A.; Liu, G.; Rao, V.; Parant, J.M.; Valentin-Vega, Y.A.; Terzian, T.; Caldwell, L.C.; Strong, L.C.; et al. Gain of Function of a p53 Hot Spot Mutation in a Mouse Model of Li-Fraumeni Syndrome. Cell 2004, 119, 861–872. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  82. Donzelli, S.; Fontemaggi, G.; Fazi, F.; Di Agostino, S.; Padula, F.; Biagioni, F.; Muti, P.; Strano, S.; Blandino, G. MicroRNA-128-2 targets the transcriptional repressor E2F5 enhancing mutant p53 gain of function. Cell Death Differ. 2011, 19, 1038–1048. [Google Scholar] [CrossRef] [Green Version]
  83. Alvarado-Ortiz, E.; de la Cruz-López, K.G.; Becerril-Rico, J.; Sarabia-Sánchez, M.A.; Ortiz-Sánchez, E.; García-Carrancá, A. Mutant p53 Gain-of-Function: Role in Cancer Development, Progression, and Therapeutic Approaches. Front. Cell Dev. Biol. 2021, 8, 607670. [Google Scholar] [CrossRef]
  84. Dell’Orso, S.; Fontemaggi, G.; Stambolsky, P.; Goeman, F.; Voellenkle, C.; Levrero, M.; Strano, S.; Rotter, V.; Oren, M.; Blandino, G. ChIP-on-Chip Analysis of In Vivo Mutant p53 Binding To Selected Gene Promoters. OMICS 2011, 15, 305–312. [Google Scholar] [CrossRef] [PubMed]
  85. Sampath, J.; Sun, D.; Kidd, V.J.; Grenet, J.; Gandhi, A.; Shapiro, L.H.; Wang, Q.; Zambetti, G.P.; Schuetz, J.D. Mutant p53 Cooperates with ETS and Selectively Up-regulates Human MDR1 Not MRP1. J. Biol. Chem. 2001, 276, 39359–39367. [Google Scholar] [CrossRef] [Green Version]
  86. Zhu, G.; Pan, C.; Bei, J.-X.; Li, B.; Liang, C.; Xu, Y.; Fu, X. Mutant p53 in Cancer Progression and Targeted Therapies. Front. Oncol. 2020, 10, 595187. [Google Scholar] [CrossRef] [PubMed]
  87. Alam, S.K.; Yadav, V.K.; Bajaj, S.; Datta, A.; Dutta, S.K.; Bhattacharyya, M.; Bhattacharya, S.; Debnath, S.; Roy, S.; Boardman, L.A.; et al. DNA damage-induced ephrin-B2 reverse signaling promotes chemoresistance and drives EMT in colorectal carcinoma harboring mutant p53. Cell Death Differ. 2015, 23, 707–722. [Google Scholar] [CrossRef] [Green Version]
  88. Bossi, G.; Lapi, E.; Strano, S.; Rinaldo, C.; Blandino, G.; Sacchi, A. Mutant p53 gain of function: Reduction of tumor malignancy of human cancer cell lines through abrogation of mutant p53 expression. Oncogene 2005, 25, 304–309. [Google Scholar] [CrossRef] [Green Version]
  89. Zhao, Y.; Ding, L.; Wang, D.; Ye, Z.; He, Y.; Ma, L.; Zhu, R.; Pan, Y.; Wu, Q.; Pang, K.; et al. EZH 2 cooperates with gain-of-function p53 mutants to promote cancer growth and metastasis. EMBO J. 2019, 38, e99599. [Google Scholar] [CrossRef] [PubMed]
  90. Soussi, T. p53 alterations in human cancer: More questions than answers. Oncogene 2007, 26, 2145–2156. [Google Scholar] [CrossRef] [Green Version]
  91. Kung, C.-P.; Weber, J.D. It’s Getting Complicated—A Fresh Look at p53-MDM2-ARF Triangle in Tumorigenesis and Cancer Therapy. Front. Cell Dev. Biol. 2022, 10, 63. [Google Scholar] [CrossRef]
  92. Brooks, C.L.; Gu, W. The impact of acetylation and deacetylation on the p53 pathway. Protein Cell 2011, 2, 456–462. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  93. Hu, W.; Feng, Z.; Levine, A.J. The Regulation of Multiple p53 Stress Responses is Mediated through MDM2. Genes Cancer 2012, 3, 199–208. [Google Scholar] [CrossRef] [PubMed]
  94. Blagih, J.; Buck, M.D.; Vousden, K.H. p53, cancer and the immune response. J. Cell Sci. 2020, 133, jcs237453. [Google Scholar] [CrossRef] [Green Version]
  95. Reuter, S.; Gupta, S.C.; Chaturvedi, M.M.; Aggarwal, B.B. Oxidative stress, inflammation, and cancer: How are they linked? Free Radic. Biol. Med. 2010, 49, 1603–1616. [Google Scholar] [CrossRef] [Green Version]
  96. Finkel, T. Signal transduction by reactive oxygen species. J. Cell Biol. 2011, 194, 7–15. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  97. Castaldo, S.A.; Freitas, J.R.; Conchinha, N.V.; Madureira, P.A. The Tumorigenic Roles of the Cellular REDOX Regulatory Systems. Oxidative Med. Cell. Longev. 2015, 2016, 8413032. [Google Scholar] [CrossRef] [Green Version]
  98. Cordani, M.; Butera, G.; Pacchiana, R.; Masetto, F.; Mullappilly, N.; Riganti, C.; Donadelli, M. Mutant p53-Associated Molecular Mechanisms of ROS Regulation in Cancer Cells. Biomolecules 2020, 10, 361. [Google Scholar] [CrossRef] [Green Version]
  99. Cordani, M.; Butera, G.; Dando, I.; Torrens-Mas, M.; Butturini, E.; Pacchiana, R.; Oppici, E.; Cavallini, C.; Gasperini, S.; Tamassia, N.; et al. Mutant p53 blocks SESN1/AMPK/PGC-1α/UCP2 axis increasing mitochondrial O2· production in cancer cells. Br. J. Cancer 2018, 119, 994–1008. [Google Scholar] [CrossRef]
  100. Zarei, M.; Lal, S.; Parker, S.J.; Nevler, A.; Vaziri-Gohar, A.; Dukleska, K.; Mambelli-Lisboa, N.C.; Moffat, C.; Blanco, F.F.; Chand, S.N.; et al. Posttranscriptional Upregulation of IDH1 by HuR Establishes a Powerful Survival Phenotype in Pancreatic Cancer Cells. Cancer Res. 2017, 77, 4460–4471. [Google Scholar] [CrossRef] [Green Version]
  101. Galluzzi, L.; Vitale, I.; Abrams, J.M.; Alnemri, E.S.; Baehrecke, E.H.; Blagosklonny, M.V.; Dawson, T.M.; Dawson, V.L.; El-Deiry, W.S.; Fulda, S.; et al. Molecular definitions of cell death subroutines: Recommendations of the Nomenclature Committee on Cell Death 2012. Cell Death Differ. 2012, 19, 107–120. [Google Scholar] [CrossRef] [Green Version]
  102. Köberle, B.; Tomicic, M.T.; Usanova, S.; Kaina, B. Cisplatin resistance: Preclinical findings and clinical implications. Biochim. Biophys. Acta Rev. Cancer 2010, 1806, 172–182. [Google Scholar] [CrossRef] [PubMed]
  103. Salatino, A.; Aversa, I.; Battaglia, A.M.; Sacco, A.; Di Vito, A.; Santamaria, G.; Chirillo, R.; Veltri, P.; Tradigo, G.; Di Cello, A.; et al. H-Ferritin Affects Cisplatin-Induced Cytotoxicity in Ovarian Cancer Cells through the Modulation of ROS. Oxidative Med. Cell. Longev. 2019, 2019, 3461251. [Google Scholar] [CrossRef] [PubMed]
  104. Kim, E.-K.; Jang, M.; Song, M.-J.; Kim, D.; Kim, Y.; Jang, H.H. Redox-Mediated Mechanism of Chemoresistance in Cancer Cells. Antioxidants 2019, 8, 471. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  105. Yang, H.; Villani, R.M.; Wang, H.; Simpson, M.J.; Roberts, M.S.; Tang, M.; Liang, X. The role of cellular reactive oxygen species in cancer chemotherapy. J. Exp. Clin. Cancer Res. 2018, 37, 266. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  106. Zhao, H.; Wu, S.; Li, H.; Duan, Q.; Zhang, Z.; Shen, Q.; Wang, C.; Yin, T. ROS/KRAS/AMPK Signaling Contributes to Gemcitabine-Induced Stem-like Cell Properties in Pancreatic Cancer. Mol. Ther. Oncolytics 2019, 14, 299–312. [Google Scholar] [CrossRef] [Green Version]
  107. Liu, Y.; Li, Q.; Zhou, L.; Xie, N.; Nice, E.C.; Zhang, H.; Huang, C.; Lei, Y. Cancer drug resistance: Redox resetting renders a way. Oncotarget 2016, 7, 42740–42761. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  108. Kim, S.J.; Kim, H.S.; Seo, Y.R. Understanding of ROS-Inducing Strategy in Anticancer Therapy. Oxid. Med. Cell. Longev. 2019, 2019, 5381692. [Google Scholar] [CrossRef]
  109. Sánchez-Botet, A.; Quandt, E.; Masip, N.; Escribá, R.; Novellasdemunt, L.; Gasa, L.; Li, V.S.W.; Raya, Á.; Clotet, J.; Ribeiro, M.P.C. Atypical cyclin P regulates cancer cell stemness through activation of the WNT pathway. Cell. Oncol. 2021, 44, 1273–1286. [Google Scholar] [CrossRef]
  110. Frau, C.; Jamard, C.; Delpouve, G.; Guardia, G.D.; Machon, C.; Pilati, C.; Le Nevé, C.; Laurent-Puig, P.; Guitton, J.; Galante, P.A.; et al. Deciphering the Role of Intestinal Crypt Cell Populations in Resistance to Chemotherapy. Cancer Res. 2021, 81, 2730–2744. [Google Scholar] [CrossRef]
  111. Nathansen, J.; Meyer, F.; Müller, L.; Schmitz, M.; Borgmann, K.; Dubrovska, A. Beyond the Double-Strand Breaks: The Role of DNA Repair Proteins in Cancer Stem-Cell Regulation. Cancers 2021, 13, 4818. [Google Scholar] [CrossRef]
  112. Ramesh, P.; Lannagan, T.R.M.; Jackstadt, R.; Taboada, L.A.; Lansu, N.; Wirapati, P.; van Hooff, S.R.; Dekker, D.; Pritchard, J.; Kirov, A.B.; et al. BCL-XL is crucial for progression through the adenoma-to-carcinoma sequence of colorectal cancer. Cell Death Differ. 2021, 28, 3282–3296. [Google Scholar] [CrossRef]
  113. Hernández-Camarero, P.; Jiménez, G.; Ruiz, E.L.; Barungi, S.; Marchal, J.A.; Perán, M. Revisiting the dynamic cancer stem cell model: Importance of tumour edges. Crit. Rev. Oncol. 2018, 131, 35–45. [Google Scholar] [CrossRef]
  114. Morgan, K.M.; Fischer, B.S.; Lee, F.Y.; Shah, J.J.; Bertino, J.R.; Rosenfeld, J.; Singh, A.; Khiabanian, H.; Pine, S.R. Gamma Secretase Inhibition by BMS-906024 Enhances Efficacy of Paclitaxel in Lung Adenocarcinoma. Mol. Cancer Ther. 2017, 16, 2759–2769. [Google Scholar] [CrossRef] [Green Version]
  115. Herrera-Rios, D.; Li, G.; Khan, D.; Tsiampali, J.; Nickel, A.-C.; Aretz, P.; Hewera, M.; Suwala, A.K.; Jiang, T.; Steiger, H.-J.; et al. A computational guided, functional validation of a novel therapeutic antibody proposes Notch signaling as a clinical relevant and druggable target in glioma. Sci. Rep. 2020, 10, 16218. [Google Scholar] [CrossRef] [PubMed]
  116. Iglesias, V.S.; Theys, J.; Groot, A.J.; Barbeau, L.M.O.; Lemmens, A.; Yaromina, A.; Losen, M.; Houben, R.; Dubois, L.; Vooijs, M. Synergistic Effects of NOTCH/γ-Secretase Inhibition and Standard of Care Treatment Modalities in Non-small Cell Lung Cancer Cells. Front. Oncol. 2018, 8, 460. [Google Scholar] [CrossRef]
  117. Wall, J.A.; Klempner, S.J.; Arend, R.C. The anti-DKK1 antibody DKN-01 as an immunomodulatory combination partner for the treatment of cancer. Expert Opin. Investig. Drugs 2020, 29, 639–644. [Google Scholar] [CrossRef] [PubMed]
  118. Yang, L.; Xie, G.; Fan, Q.; Xie, J. Activation of the hedgehog-signaling pathway in human cancer and the clinical implications. Oncogene 2009, 29, 469–481. [Google Scholar] [CrossRef] [Green Version]
  119. Zhao, L.; Yang, Y.; Zhou, P.; Ma, H.; Zhao, X.; He, X.; Wang, T.; Zhang, J.; Liu, Y.; Zhang, T. Targeting CD133high Colorectal Cancer Cells In Vitro and In Vivo With an Asymmetric Bispecific Antibody. J. Immunother. 2015, 38, 217–228. [Google Scholar] [CrossRef]
  120. Manni, W.; Min, W. Signaling pathways in the regulation of cancer stem cells and associated targeted therapy. Medcomm 2022, 3, e176. [Google Scholar] [CrossRef] [PubMed]
  121. Toledo, B.; Picon-Ruiz, M.; Marchal, J.A.; Perán, M. Dual Role of Fibroblasts Educated by Tumour in Cancer Behavior and Therapeutic Perspectives. Int. J. Mol. Sci. 2022, 23, 15576. [Google Scholar] [CrossRef] [PubMed]
  122. Wald, M.; Olejár, T.W.; Ebková, V.X.; Zadinova, M.; Boubelík, M.; Ková, P.P. Mixture of trypsin, chymotrypsin and papain reduces formation of metastases and extends survival time of C 57 Bl 6 mice with syngeneic melanoma B16. Cancer Chemother. Pharmacol. 2001, 47, S16–S22. [Google Scholar] [CrossRef] [PubMed]
Figure 1. Schematic representation of the protocol used to develop drug-chemoresistant cell lines. To establish resistant tumor cell lines, increasing concentrations of the chemotherapeutical drug are periodically administered during a certain period of time, between 15 and 18 weeks, depending on the cell type. Briefly, cells are incubated with increasing concentrations of the drug in the culture medium from IC50/2 to the desired final concentration. The medium is changed every 72 h, while maintaining the drug concentration. Passage is done when cells acquire an 80% confluence (approx. every 2 weeks). It is recommended to freeze a cell stock in liquid nitrogen when acclimated to each drug concentration (the level of chemoresistance is not affected) as it is increased.
Figure 1. Schematic representation of the protocol used to develop drug-chemoresistant cell lines. To establish resistant tumor cell lines, increasing concentrations of the chemotherapeutical drug are periodically administered during a certain period of time, between 15 and 18 weeks, depending on the cell type. Briefly, cells are incubated with increasing concentrations of the drug in the culture medium from IC50/2 to the desired final concentration. The medium is changed every 72 h, while maintaining the drug concentration. Passage is done when cells acquire an 80% confluence (approx. every 2 weeks). It is recommended to freeze a cell stock in liquid nitrogen when acclimated to each drug concentration (the level of chemoresistance is not affected) as it is increased.
Ijms 24 04487 g001
Figure 2. Mechanism of action of gemcitabine via cellular metabolism. (1) Once administered, gemcitabine (dFdC) is transported into cells by nucleoside transporters such as hENT1. (2) Gemcitabine is then phosphorylated into gemcitabine monophosphate (dFdCMP) by deoxycytidine kinase (DCK), and dFdCMP is subsequently phosphorylated to gemcitabine diphosphate (dFdCDP) and gemcitabine triphosphate (dFdCTP) by nucleoside monophosphate kinase (NMPK) and nucleoside diphosphate kinase (NDPK). (3) dFdCDP potently inhibits ribonucleotide reductase (RR) RRM1/RRM2, resulting in a decrease in the competing deoxyribonucleotide pools necessary for DNA synthesis. RR transforms cytidine diphosphate (CDP) into deoxycytidine diphosphate (dCDP), and its inhibitory effect leads to the decreased concentration of competitive deoxycytidine triphosphate (dCTP) pool cells required for DNA synthesis, thus promoting the binding of dFdCTP to DNA. Gemcitabine exerts its cytotoxic effect mainly through the inhibition of DNA synthesis by being incorporated into the DNA strand as the active dFdCTP. dFdCTP suppresses activation of dFdCMP by inhibiting deoxycytidine monophosphate deaminase (DCTD). (4) dFdCTP in the nuclei inhibits Deoxyribonucleic Acid (DNA) and Ribonucleic Acid (RNA) synthesis. 2′,2′-difluorodeoxyuridine monophosphate (dFdUMP) inhibits thymidine synthase (TS), resulting in the depletion of the deoxythymidine monophosphate (dTMP) pool, but it can also be phosphorylated to 2′,2′-difluorodeoxyuridine triphosphate (dFdUTP) for its DNA incorporation or dephosphorylated to 2′,2′-difluorodeoxyuridine (dFdU) and then transported out of the cells. (5) Gemcitabine cytotoxicity activates DNA damage responses such as NHEJ, HR, and p53. Gemcitabine can also induce DNA damage by further promoting the accumulation of ROS, thereby enhancing apoptosis. On the other hand, p53 mutations can contribute to intracellular ROS accumulation and thus to genomic instability, which is characteristic of malignant cells. (6) The majority of dFdC is inactivated mainly by the deoxycytidine deaminase (dCDA)-mediated conversion to dFdU and then excreted through the ABC transporters. Deamination of dFdCMP to dFdUMP by DCTD and its subsequent dephosphorylation form, dFdU, is another inactivation pathway of dFdC.
Figure 2. Mechanism of action of gemcitabine via cellular metabolism. (1) Once administered, gemcitabine (dFdC) is transported into cells by nucleoside transporters such as hENT1. (2) Gemcitabine is then phosphorylated into gemcitabine monophosphate (dFdCMP) by deoxycytidine kinase (DCK), and dFdCMP is subsequently phosphorylated to gemcitabine diphosphate (dFdCDP) and gemcitabine triphosphate (dFdCTP) by nucleoside monophosphate kinase (NMPK) and nucleoside diphosphate kinase (NDPK). (3) dFdCDP potently inhibits ribonucleotide reductase (RR) RRM1/RRM2, resulting in a decrease in the competing deoxyribonucleotide pools necessary for DNA synthesis. RR transforms cytidine diphosphate (CDP) into deoxycytidine diphosphate (dCDP), and its inhibitory effect leads to the decreased concentration of competitive deoxycytidine triphosphate (dCTP) pool cells required for DNA synthesis, thus promoting the binding of dFdCTP to DNA. Gemcitabine exerts its cytotoxic effect mainly through the inhibition of DNA synthesis by being incorporated into the DNA strand as the active dFdCTP. dFdCTP suppresses activation of dFdCMP by inhibiting deoxycytidine monophosphate deaminase (DCTD). (4) dFdCTP in the nuclei inhibits Deoxyribonucleic Acid (DNA) and Ribonucleic Acid (RNA) synthesis. 2′,2′-difluorodeoxyuridine monophosphate (dFdUMP) inhibits thymidine synthase (TS), resulting in the depletion of the deoxythymidine monophosphate (dTMP) pool, but it can also be phosphorylated to 2′,2′-difluorodeoxyuridine triphosphate (dFdUTP) for its DNA incorporation or dephosphorylated to 2′,2′-difluorodeoxyuridine (dFdU) and then transported out of the cells. (5) Gemcitabine cytotoxicity activates DNA damage responses such as NHEJ, HR, and p53. Gemcitabine can also induce DNA damage by further promoting the accumulation of ROS, thereby enhancing apoptosis. On the other hand, p53 mutations can contribute to intracellular ROS accumulation and thus to genomic instability, which is characteristic of malignant cells. (6) The majority of dFdC is inactivated mainly by the deoxycytidine deaminase (dCDA)-mediated conversion to dFdU and then excreted through the ABC transporters. Deamination of dFdCMP to dFdUMP by DCTD and its subsequent dephosphorylation form, dFdU, is another inactivation pathway of dFdC.
Ijms 24 04487 g002
Figure 3. Cytotoxic treatments induce cancer stem cells phenotype acquisition together with increased chemoresistance. Approaches to re-differentiate CSCs could improve current treatment. After cytotoxic treatment, differentiated cancer cells acquire a quiescent CSCs-like phenotype, through the successful repair of damaged DNA. CSCs, after cytotoxic assault trigger protective mechanisms, such as the expression of ABC transporters and mechanisms to repair DNA, to increase tolerance to DDDs and to avoid apoptosis. Novel strategies focusing on new non-toxic anticancer compounds could induce regression of the CSC phenotype toward a differentiated phenotype with less chemoresistant potential.
Figure 3. Cytotoxic treatments induce cancer stem cells phenotype acquisition together with increased chemoresistance. Approaches to re-differentiate CSCs could improve current treatment. After cytotoxic treatment, differentiated cancer cells acquire a quiescent CSCs-like phenotype, through the successful repair of damaged DNA. CSCs, after cytotoxic assault trigger protective mechanisms, such as the expression of ABC transporters and mechanisms to repair DNA, to increase tolerance to DDDs and to avoid apoptosis. Novel strategies focusing on new non-toxic anticancer compounds could induce regression of the CSC phenotype toward a differentiated phenotype with less chemoresistant potential.
Ijms 24 04487 g003
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content.

Share and Cite

MDPI and ACS Style

Toledo, B.; González-Titos, A.; Hernández-Camarero, P.; Perán, M. A Brief Review on Chemoresistance; Targeting Cancer Stem Cells as an Alternative Approach. Int. J. Mol. Sci. 2023, 24, 4487. https://doi.org/10.3390/ijms24054487

AMA Style

Toledo B, González-Titos A, Hernández-Camarero P, Perán M. A Brief Review on Chemoresistance; Targeting Cancer Stem Cells as an Alternative Approach. International Journal of Molecular Sciences. 2023; 24(5):4487. https://doi.org/10.3390/ijms24054487

Chicago/Turabian Style

Toledo, Belén, Aitor González-Titos, Pablo Hernández-Camarero, and Macarena Perán. 2023. "A Brief Review on Chemoresistance; Targeting Cancer Stem Cells as an Alternative Approach" International Journal of Molecular Sciences 24, no. 5: 4487. https://doi.org/10.3390/ijms24054487

APA Style

Toledo, B., González-Titos, A., Hernández-Camarero, P., & Perán, M. (2023). A Brief Review on Chemoresistance; Targeting Cancer Stem Cells as an Alternative Approach. International Journal of Molecular Sciences, 24(5), 4487. https://doi.org/10.3390/ijms24054487

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop