Next Article in Journal
LADON, a Natural Antisense Transcript of NODAL, Promotes Tumour Progression and Metastasis in Melanoma
Previous Article in Journal
The Typical tRNA Co-Expresses Multiple 5′ tRNA Halves Whose Sequences and Abundances Depend on Isodecoder and Isoacceptor and Change with Tissue Type, Cell Type, and Disease
Previous Article in Special Issue
Non-Coding RNAs: Foes or Friends for Targeting Tumor Microenvironment
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Review

An Overview of the Immune Modulatory Properties of Long Non-Coding RNAs and Their Potential Use as Therapeutic Targets in Cancer

by
Moises Martinez-Castillo
1,2,
Abdelrahman M. Elsayed
3,4,
Gabriel López-Berestein
1,5,
Paola Amero
1 and
Cristian Rodríguez-Aguayo
1,5,*
1
Department of Experimental Therapeutics, The University of Texas MD Anderson Cancer Center, Houston, TX 77054, USA
2
Liver, Pancreas and Motility Laboratory, Unit of Research in Experimental Medicine, School of Medicine, Universidad Nacional Autónoma de México (UNAM), Mexico City 06726, Mexico
3
Department of Pharmacology & Toxicology, Faculty of Pharmacy, Al-Azhar University, Cairo 11754, Egypt
4
Havener Eye Institute, Department of Ophthalmology and Visual Science, The Ohio State University Wexner Medical Center, Columbus, OH 43210, USA
5
Center for RNA Interference and Non-Coding RNA, The University of Texas MD Anderson Cancer Center, 1515 Holcombe Blvd, Houston, TX 77030, USA
*
Author to whom correspondence should be addressed.
Non-Coding RNA 2023, 9(6), 70; https://doi.org/10.3390/ncrna9060070
Submission received: 27 June 2023 / Revised: 25 October 2023 / Accepted: 8 November 2023 / Published: 11 November 2023
(This article belongs to the Special Issue ncRNAs to Target Molecular Pathways)

Abstract

:
Long non-coding RNAs (lncRNAs) play pivotal roles in regulating immune responses, immune cell differentiation, activation, and inflammatory processes. In cancer, they are gaining prominence as potential therapeutic targets due to their ability to regulate immune checkpoint molecules and immune-related factors, suggesting avenues for bolstering anti-tumor immune responses. Here, we explore the mechanistic insights into lncRNA-mediated immune modulation, highlighting their impact on immunity. Additionally, we discuss their potential to enhance cancer immunotherapy, augmenting the effectiveness of immune checkpoint inhibitors and adoptive T cell therapies. LncRNAs as therapeutic targets hold the promise of revolutionizing cancer treatments, inspiring further research in this field with substantial clinical implications.

1. Introduction

Transcriptome analysis of the human genome has revealed that the vast majority of RNA transcripts do not encode proteins; thus, they were named non-coding RNAs (ncRNAs) [1,2]. ncRNAs can be divided into two major categories based on nucleotide length: small ncRNAs and long ncRNAs (lncRNAs) [2,3,4]. Small ncRNAs are transcripts less than 200 nucleotides in length; some examples are transfer RNAs (tRNAs), small nuclear RNAs (snRNAs), small nucleolar RNAs (snoRNAs), small interfering RNAs (siRNAs), microRNAs (miRNAs), and piwi-interacting RNAs (piRNAs) [4]. Among those, siRNAs and miRNAs play an essential role in tumorigenesis by regulating the expression of tumor suppressor genes or oncogenes. Furthermore, several miRNAs can be employed as prognostic and/or diagnostic biomarkers in cancer [5]. From a mechanistic perspective, siRNAs and miRNAs complementarily bind to target mRNAs, resulting in the degradation of target mRNAs and therefore inducing gene knockdown [4].
Long ncRNAs (lncRNAs) are transcripts that cannot encode proteins, which have been classified, according to genomic localization and orientation, into intergenic lncRNAs (lincRNAs), intronic lncRNAs, natural antisense transcripts, pseudogenes (without producing protein), and retrotransposons [6]. Interestingly, lncRNAs can regulate the expression of nearby genes on the same allele (in cis) or regulate genes at other genomic locations across the genome (in trans) [7]. In general, lncRNAs can regulate various biological processes such as proliferation, differentiation, and cell development [2]. Regarding localization, lncRNAs have been found to localize at both nuclear and cytoplasmic compartments where they bind to DNA, RNA, or proteins to exert their functions. In the nucleus, they interact with transcription factors, the chromatin-modifying complex, or ribonucleoproteins, thereby modulating the transcription of target genes [8,9]. Meanwhile, in the cytoplasm, lncRNAs regulate the stability and function of various mRNAs and proteins [10,11].
In the context of biological functions, lncRNAs have been classified into four major archetypes of molecular mechanisms: signals, decoys, guides, and scaffolds [12,13] (Figure 1).
Signals: Some lncRNAs function as signals by serving as indicators or markers for specific cellular processes. Given that lncRNA expression is sensitive to certain external stimuli, some lncRNAs can be used as signals for certain diseases. They might respond to certain stimuli or environmental changes, triggering downstream cellular events. These lncRNAs often play a role in regulatory networks, alerting the cell to adapt to various conditions. For instance, lncRNA-p21 acts as a transcriptional repressor of p53, a major tumor suppressor protein, and therefore lnc-p21 can be used as a signal for apoptosis resistance and defective repair of damaged DNA [14].
Guides: Some lncRNAs function as guide molecules by binding to enzymes or regulatory proteins. Guide lncRNAs provide targeting information and guide other molecules to specific genomic loci either in adjacent (cis) or distant (trans) locations from their point of transcription. They can direct chromatin-modifying complexes, transcription factors, co-activators, and co-repressors and direct them to their target sites, where they can regulate gene expression or other regulatory factors to their appropriate binding sites on DNA, thereby influencing gene expression patterns and cellular outcomes. [12,15]. An example of a guide lncRNA is HOTAIR, an extensively studied lncRNA. HOTAIR steers the chromatin modifier polycomb repressive complex 2 (PRC2) in trans to the developmental HOXD locus and, when excessively expressed towards cancer-associated genes, causes gene repression [16]. Another example is the lncRNA MEG3, which employs triple-helix interactions with underlying DNA to recruit PRC2 to targeted genes [17]. An intriguing instance of three-dimensional organization-mediated chromosomal targeting involves Firre. Derived from a genomic site that evades inactivation by the X chromosome, Firre orchestrates nuclear domains in trans via heterogenous nuclear ribonucleoprotein hnRNP U interactions, facilitating the co-localization of diverse chromosomal sites across chromosomes 2, 9, 15, and 17 [18]. Moreover, Firre operates in cis, upholding X chromosome inactivation by positioning the inactive X chromosome near the nucleolus and conserving the trimethylation of histone H3 at lysine 27 (H3K27me3). Firre is therefore speculated to establish specific chromosomal domains within the nucleus under sequence-specific interactions, possibly serving as a signal for localizing particular subcompartments. These precise targeting mechanisms of guide lncRNAs are triggered by interactions involving RNA–DNA, RNA–RNA, and RNA–protein interactions [18].
Decoys: Some lncRNAs act as decoys. Decoy lncRNAs act as molecular sponges by sequestering regulatory molecules, such as RNA-binding proteins, transcription factors, or microRNAs. This action prevents these molecules from interacting with their intended targets, thereby influencing gene expression regulation. Decoy lncRNAs help modulate cellular processes by diverting regulatory molecules from their intended targets [12], exerting negative control over their functional counterparts. For instance, in response to DNA damage, the lncRNA PANDA binds with the transcription factor NF-YA to counteract p53-induced apoptosis. While NF-YA activates key apoptotic and cell senescence genes, PANDA binding to NF-YA redirects its association from gene chromatin, subsequently diminishing the expression of genes related to apoptosis and senescence [19,20,21]
Scaffolds: Scaffold lncRNAs serve as physical platforms or structures that gather multiple molecules into a complex. They provide a spatial arrangement for interactions between proteins, nucleic acids, and other molecules. These interactions can lead to the assembly of functional complexes that carry out specific cellular tasks [12,15]. For example, the telomerase RNA TERC is responsible for the assembly of the telomerase complex responsible for maintaining telomere ends. This complex integrates reverse transcriptase activity with telomere-targeting proteins within a single ribonucleoprotein (RNP) structure [22]. TERC has been a foundational model to investigate whether recently identified lncRNAs can form stable, uniform RNPs. However, limited evidence supports the notion that newly discovered lncRNAs function as stable molecular scaffolds akin to TERC. Instead, lncRNAs might engage in more dynamic, low-affinity interactions with proteins, resembling the maturation process of mRNAs. This perspective can account for the functional interactions observed between lncRNAs and mRNA biogenesis factors such as hnRNPs. This dynamic scaffold concept aligns with the diverse, substoichiometric factors identified through lncRNA isolation and proteomic analysis, such as in the case of Xist RNA [23,24,25,26].
The classification of lncRNAs could change in the future given the reports of novel functions of lncRNAs. In this context, novel technologies such as ribosome profiling sequencing and ribosome-nascent chain complex sequencing have allowed for the identification of short open reading frames (ORFs) within lncRNA sequences that encode for micropeptides [27]. Recently, Wang et al. identified differentially expressed long non-coding RNAs (lncRNAs) potentially harboring protein-coding capabilities within the challenging realm of triple-negative breast cancer (TNBC), renowned for its dire clinical prognosis. Employing a comprehensive approach, they employed eight distinct assays to validate the existence of a 60-amino acid peptide named ASRPS, which originates from the lncRNA LINC00908. Their meticulous methodology encompassed various stages, including (1) the identification of open reading frames (ORFs) through ORFFinder, (2) correlating ORFs with ribosome profiling data from the GWIPS-viz database, (3) creating tagged ORFs in pcDNA3.1 for Western blotting, (4) testing the functional initiation codon through GFPmut fusion, (5) profiling polysome for endogenous ASRPS expression, (6) detecting micropeptide and lncRNA co-expression via in situ hybridization, and (7) producing a specific rabbit polyclonal antibody for ASRPS identification. To dispel any doubts regarding ASRPS being a byproduct of lengthier protein processing, the authors employed antisense oligos to precisely inhibit lncRNA ORF translation. This extensive research added to our understanding of ASRPS, considerably bolstering the confidence of readers in acknowledging the significance of this newfound short peptide [28]. The specific roles of micropeptides have recently been a spotlight in research; some putative roles include regulation of cell growth, DNA repair, tissue regeneration, immune response, and cancer [29]. Thus, micropeptides need to be included in future research evaluating lncRNA functions.
Presently, various preclinical and clinical studies have shown that dysregulated expression of lncRNA is associated with the development of several diseases, including cancer. In cancer, lncRNAs can act like tumor suppressor genes [30] or oncogenes [31] depending on which downstream target pathway they regulate. Furthermore, the expression profile of certain lncRNAs can be used as biomarkers for disease progression, survival, and chemoresistance [5,32]. Further studies revealed that lncRNAs are implicated in the regulation of inflammatory signaling pathways, innate immune response, and T cell differentiation and activation [33,34,35]. In this review, we summarize the current state of knowledge regarding the pivotal role of lncRNAs in regulating immune response in cancer.

2. lncRNAs and Cancer

Cancer is the second leading cause of death on a global scale. In the US, the lifetime probability of developing cancer is ~44% for men and ~38% for women, respectively [36]. In addition to the significant role of lncRNAs in orchestrating multiple biological functions, lncRNAs play a significant role in carcinogenesis, and dysregulated expression of lncRNAs has been detected in a wide array of cancers. Furthermore, some lncRNAs can regulate the activity of oncogenes, whereas others can act like tumor suppressor genes [37,38,39]. In 2011, almost 200 putative lncRNAs derived from promoter regions of cell cycle genes were identified during cell cycle progression, and their expression profiles showed alterations under certain oncogenic stimuli, stem cell differentiation, or DNA damage [19]. The newly discovered lncRNAs are more recognized as active molecules instead of “transcriptional noise” and accumulating evidence indicates that some of them play critical roles in carcinogenesis by influencing tumor cell proliferation [40]. In the context of the tumor-promoting actions of lncRNAs, Elsayed et al. revealed that the lncRNA PRKAR-1B AS2 promotes tumor growth and survival of ovarian cancer and that knockdown of PRKAR1B-AS2 by a specific siRNA reduced tumor growth and sensitized the response to cisplatin in both in vitro and in vivo mouse models of ovarian cancer. Mechanistically, PRKAR1B-AS2 promotes tumor growth, at least in part, by positively regulating the PI3K/AKT/mTOR pathway [39]. Certain lncRNAs have been found to regulate apoptosis, a programmed cell death process. In this setting, two lncRNAs with anti-apoptotic functions were identified in prostate and squamous carcinoma cells: PCGEM1 (prostate-specific transcript 1) and CUDR (cancer upregulated drug resistant). Multiple analyses by Northern blot have supported the exclusive expression of PCGEM in the human prostate; additionally, the overexpression of this oncogenic lncRNA has been related to the risk of prostate cancer [41]. Moreover, a functional study of PCGEM1 demonstrated that the overexpression of PCGEM1 in LNCaP cells (lymph node carcinoma of the prostate) results in apoptosis inhibition induced by doxorubicin by mitigating P53 and p21waf1/Cip1 induction [42].

3. lncRNAs as Tumor Biomarkers

lncRNAs have garnered considerable attention as potential tumor biomarkers due to their distinct expression patterns in various types of cancers. In addition to the specific and sensitive expression profile of lncRNAs, lncRNAs have some unique features that make them potential diagnostic and/or prognostic candidate biomarkers in cancer and include: easy detection of lncRNAs in biological fluids, stability of lncRNAs in biological fluids and tissues, and presence of different sources of circulating lncRNAs [43]. Given that lncRNAs can be detected in body fluids such as blood, urine, and saliva, non-invasive and minimally invasive methods of cancer screening and monitoring can be implemented by employing particular lncRNAs [44] (Figure 2).
The importance of lncRNAs as tumor biomarkers lies in the following aspects.
Diagnostic Potential: Given that aberrant expression of lncRNAs is correlated with different stages of cancer development, detecting these changes can aid in the early diagnosis of cancer, enabling timely intervention and improving patient outcomes [43].
Prognostic Indicators: Certain lncRNAs are linked to disease progression, metastasis, and overall survival rates. By analyzing the expression levels of these lncRNAs, clinicians can better predict the prognoses of cancer patients and tailor treatment strategies accordingly [45,46]. For instance, the lncRNA nuclear-enriched abundant transcript 1 (NEAT1) has been shown to regulate immune response, and its expression level is elevated in immune-related pathologies, suggesting its potential utility as a prognostic biomarker [47].
Predictive Markers: lncRNA expression profiles can provide insights into the response of cancer cells to specific treatments. This predictive information can guide the selection of personalized treatment options, minimizing adverse effects and optimizing therapeutic outcomes [48].
For instance, the expression of lncRNAs HULC and Linc00152 is significantly higher in hepatocellular carcinoma compared to normal liver tissues [49]. Similarly, prostate cancer gene 3 (PCA3) lncRNA has been considered a biomarker of prostate cancer [50]. In an independent study, dysregulated expression of 30 lncRNAs has been identified in non-small-cell lung cancer (NSCLC); therefore, these lncRNAs are potential biomarkers for non-small cell lung cancer (NSCLC) [51,52]. Hence, in the near future, it may become feasible to incorporate certain lncRNAs into the standard repertoire of cancer biomarkers. This anticipation arises from the recent recognition of specific lncRNAs as adaptable regulators of immune cell development, differentiation, immune modulation, and functional attributes in a cell- and context-specific manner. Notable examples encompass primate-specific lncRNAS like FLANC [53] and N-BLR [54] or lncRNA-Cox2, linc1992 (also known as THRIL), lncRNA-IL7R, HOTAIRM1, and lnc-DC. From an immunological perspective, lncRNAs have been demonstrated to regulate the expression of certain genes implicated in immune responses. In this setting, several lncRNAs have been demonstrated to regulate the NF-kB, arachidonic acid, MAPK, and JAK/STAT signaling pathways, which play an essential role in orchestrating inflammation [34]. Such is the case of NKILA (NF-KappaB Interacting lncRNA), a cytoplasmic NF-κB interacting with long non-coding RNA that blocks IκB phosphorylation and suppresses breast cancer metastasis [55]. Furthermore, the reduction of the lncRNA Carlr led to a decline in the expression of NF-κB-associated genes in both mouse and human macrophages [56]. Another emerging lncRNA of significance in the context of inflammation and arachidonic acid (AA) metabolism is the extragenic RNA PACER, which is associated with p50 and COX-2 [57]. To summarize, the significance of lncRNAs as tumor biomarkers lies in their potential to aid in cancer diagnosis, prognosis, treatment prediction, and monitoring. Moreover, their immune-modulatory properties underline their pivotal role in shaping immune responses, offering opportunities for novel therapeutic interventions in immune-related disorders as well as cancer.

4. Overview of Tumor Immunity

Tumor immunity, also known as cancer immunity or anti-tumor immunity, refers to the complex interactions between the immune system and cancerous cells within the body [58]. It encompasses the body’s ability to recognize and mount a defense against cancer cells, as well as the strategies that tumors employ to evade immune surveillance. The tumor microenvironment (TME) is the area surrounding a tumor inside the body and comprising an extracellular matrix, blood vessels, fibroblasts, immune cells, inflammatory mediators, e.g., chemokines and cytokines, and others [59,60,61]. The dysregulated control of inflammation contributes to the initiation, promotion, and metastasis of cancer. Clinical studies have demonstrated that the use of anti-inflammatory drugs displays anti-cancer activity [62,63,64]. The field of tumor immunity is crucial for understanding the dynamics of cancer development, progression, and potential therapeutic interventions (Figure 2). Here, we provide an overview of the key aspects of tumor immunity.

4.1. Immune Response to Tumors

The immune system can recognize abnormal or foreign cells, including cancer cells, through a process called immune surveillance. Immune cells, such as T cells, B cells, natural killer (NK) cells, and macrophages, play pivotal roles in detecting and responding to tumor cells. Furthermore, cytotoxic T cells secrete interferon γ (IFN-γ) and inhibit angiogenesis and tumor progression [65]. Tumor-associated macrophages (TAMs) are very important cells inside the TME that regulate tumor proliferation, metastasis, angiogenesis, and local immune suppression. Given the plasticity of TAMs, they can be broadly classified into two major subsets, M1 and M2, which exert different actions. M1 polarized macrophages are cells that confer pro-inflammatory effects by secreting pro-inflammation cytokines that induce immune response and inhibit tumor growth. On the contrary, the M2 phenotype exhibits anti-inflammatory action and stimulates the production of anti-inflammation cytokines that suppress the immune response and thus promote tumor growth and metastasis [66]. Immune responses against tumors can involve both innate immunity (rapid, non-specific responses) and adaptive immunity (specific, memory-based responses).

4.2. Cancer Immune Evasion

Tumors can evolve mechanisms to evade immune detection and destruction, a phenomenon known as immune evasion. Tumor cells may downregulate the expression of antigens that immune cells recognize, making them less visible to the immune system. These cells can also create an immunosuppressive TME by secreting cytokines that inhibit immune responses [67]. Besides TAMs, myeloid-derived suppressor cells (MDSC) and regulatory T (Treg) cells are the main components of the immunosuppressive TME that induce T cell dysfunction, thereby increasing tumor progression and metastasis [66,68]. Thus, the exogenous regulation of TME, in terms of immune cells, chemokines, cytokines, miRNA, and lncRNA, has emerged as a promising strategy against cancer treatment [66,69] (Figure 2).
Immune checkpoints regulate the intensity of immune responses, preventing excessive tissue damage [67]. However, tumors can exploit these checkpoints by suppressing immune activity. Immunotherapy involves targeting immune checkpoints, such as PD-1/PD-L1 or CTLA-4 [70,71,72], to restore the immune system’s ability to recognize and attack cancer cells. Checkpoint inhibitors have shown remarkable success in treating certain types of cancers by unleashing the immune response against tumors [73,74,75,76,77,78].
Nowadays, cancer vaccines, also named treatment vaccines or therapeutic vaccines, aim to boost the immune system to recognize specific tumor antigens, training it to target and destroy cancer cells. Treatment vaccines work in different ways: they can block cancer relapse, kill cancer cells, and inhibit tumor growth and metastasis. On the other hand, adoptive T cell therapy, also named adoptive immunotherapy and immune cell therapy, involves collecting and engineering a patient’s T cells to specifically target cancer cells [79,80]. There are two main types of adoptive T cell therapy: tumor-infiltrating lymphocytes (or TIL) therapy and CAR-T cell therapy. They both use modified patient-derived T cells which are then infused back into the patient’s body. Tumor cells often express unique antigens, called tumor-associated antigens (TAAs), which can be targeted by the immune system. Neoantigens are antigens generated from tumor-specific mutations. They are unique to each patient’s tumor and have become a focus of personalized cancer immunotherapy [81]. The adaptive immune system has memory cells that “remember” previous encounters with antigens, enabling it to respond more effectively upon re-exposure. Some cancer immunotherapies aim to establish immune memory to ensure long-term control and prevention of tumor recurrence [82].
Overall, understanding the interactions between the immune system and tumor cells is essential for developing effective cancer treatments. Advances in tumor immunity research have led to groundbreaking therapies that harness the body’s immune responses to combat cancer and hold promise for improved patient outcomes in the future.

4.3. ncRNAs and Immune Response

The role of ncRNAs in tumorigenesis and immune response has been investigated widely in cancers. In these settings, ncRNAs regulate proliferation, differentiation, apoptosis, necrosis, autophagy, immune response, and inflammation [35,69,83,84]. In colorectal cancer, it was reported that the tumor suppressor miR-195-5p promotes TAM polarization by suppressing NOTCH2 expression [85]. Furthermore, exosomal miRNAs (e.g., miR-934, miR-25-3p, miR-130b-3p, miR-425-5p) can induce the activation of the CXCL13/CXCR5 or CXCL12/CXCR4 axis in colorectal cancer cells, which in turn activate TAM polarization and metastasis to liver [86]. On the other hand, lncRNAs such as lnc-EGFR, SNHG1, Flicr, and Flatr can orchestrate the correct function and differentiation of Treg cells [86]. Moreover, lnc-EGFR has also been shown to stimulate Treg differentiation, inhibit cytotoxic T lymphocyte activity, and induce hepatocellular carcinoma (HCC) growth [87]. In contrast, NIFK-AS1 lncRNA inhibit the M2-like polarization of macrophages, proliferation, migration, and invasion of endometrial cancer, at least in part, by inhibiting miR-146a [88]. The process of immune evasion is primarily driven by the establishment of an immunosuppressive environment, a phenomenon that can be orchestrated by long non-coding RNAs (lncRNAs). Certain lncRNAs even facilitate the development of resistance to treatments via the PD-1/PD-L1 pathway and the presentation of inhibitory antigens. For instance, the lncRNA MALAT1 is capable of modulating tumor immunity by indirectly enhancing the expression of PD-L1 through its interaction with miR-195 and miR-200a-3 [45,89]. Additional information on lncRNA can be found in the following sections. The cellular communications between the different components in the TME are undoubtedly complex; however, during the last 10 years, our knowledge of the role of immune response in regulating tumor development has increased drastically.
In the current landscape, the idea of leveraging cellular reprogramming to strategically reshape an adverse immune response or reshape tumor attributes from a detrimental condition to a favorable one that actively reinforces the battle against tumors is a relatively unexplored frontier. Nonetheless, the prospect of turning this vision into tangible reality lies tantalizingly close, propelled by remarkable strides in genetic profiling and cutting-edge technology (See Figure 2). In this context, this review underscores the critical significance of not only eradicating malignant cells and thwarting drug resistance but also achieving these goals while preventing the emergence of an unfavorable TME. Harnessing the inherent potential of the immune system’s modulation will have a pivotal role in accomplishing this goal.

5. Immune Response and Long Non-Coding RNAs

In recent years, the intricate regulatory roles of long non-coding RNAs (lncRNAs) in the immune response have gained substantial attention in the field of molecular biology. These RNA molecules, which do not code for proteins but are crucial in gene regulation, have emerged as influential modulators of immune cell differentiation, activation, and inflammatory processes.
lncRNAs play a pivotal role in steering the fate of immune cells. They fine-tune the differentiation of various immune cell types, including T cells, B cells, macrophages, and dendritic cells, by regulating gene expression patterns. Additionally, lncRNAs are instrumental in driving immune cell activation, dictating the intensity and duration of immune responses [33]. In the context of inflammatory responses, lncRNAs act as critical regulators, impacting the production of key immune mediators such as cytokines and chemokines. Some lncRNAs amplify inflammatory signals, while others exert suppressive effects, contributing to the dynamic equilibrium of immune reactions. This dual role places lncRNAs at the center of maintaining immune homeostasis [90].
Cancer immunology has unveiled a novel dimension of lncRNAs’ significance. Within the tumor microenvironment, lncRNAs influence immune cell infiltration, immune evasion mechanisms, and the establishment of an immunosuppressive milieu. These molecules actively shape the intricate interplay between tumor cells and immune responses, impacting disease progression and therapeutic outcomes [91]. The remarkable immunomodulatory roles of lncRNAs hold promise for therapeutic interventions. As lncRNAs impact immune checkpoint molecules, cytokines, and other immune regulators, they offer potential targets for novel immunotherapies. Manipulating their expression levels could potentially enhance the efficacy of immune checkpoint blockade, adoptive T cell therapies, and other immune-based treatments.
Recent research findings have additionally reported lncRNAs participate in cancer onset and progression via reprogramming the tumor immune microenvironment (TIME). Certainly, the overexpression of specific lncRNAs is strongly linked to the infiltration of immune cells and serves as a prognostic indicator for cancer patients. For example, lncRNA-LINC00665 is associated with the infiltration rates of macrophages and dendritic cells (DCs). It also has a role in inhibiting regulatory T cells (Tregs) and averting T cell exhaustion by functioning as a competing endogenous RNA (ceRNA), along with FTX [92]. lncRNA-TCL6 exhibits a direct correlation with the infiltration of tumor-infiltrating lymphocytes (TILs) and the presence of immune checkpoint proteins such as PD-1, PD-L1, and CTLA-4 [93]. The oncogenic lncRNA LINK-A diminishes the ability of tumor cells to present antigens, thereby undermining immune surveillance. This phenomenon contributes to the evasion of cancer cells from immune checkpoints and supports the survival of malignant cells [94].
The stimulation of the immune system to recognize and attack tumor cells is an attractive means of facilitating the complete elimination of tumors [95]. It has been observed that infiltrating cytotoxic T cells (CTLs) can be localized in tumor sites; however, these germinal cells are only present in a small proportion. T cells probably lack either distinctive antigenic peptides or the cell adhesion or co-stimulatory molecules necessary to elicit a correct primary T cell response [96]. The difficulty to induce an effective anti-tumor immune response largely stems from the highly immunosuppressive microenvironment present in tumors and thus far, no effective immunostimulatory strategies have been developed to effectively enhance CTL activity [96,97]. By targeting specific lncRNAs, it becomes plausible to disrupt the immunosuppressive networks within tumors. This disruption could potentially create an environment where cytotoxic T lymphocytes (CTLs) are capable of infiltrating and effectively eliminating tumor cells. In an extensive research paper featured in Nature Immunology, a recently discovered long non-coding RNA (lncRNA) called nuclear factor-κB (NF-κB)-interacting lncRNA (NKILA) was demonstrated to have a specific role in making anti-tumor T cells more susceptible to cell death upon stimulation by tumor-related antigens. The study revealed that when NKILA is suppressed, it leads to an increased infiltration of cytotoxic T lymphocytes (CTLs) and a reduction in tumor growth. Consequently, this discovery presents a potential strategy to amplify the efficacy of T cells in adoptive T cell therapy for cancer [98].
lncRNAs can simultaneously regulate multiple pathways, which can prevent pathway redundancy or resistance, a feature which cannot be achieved by many other therapeutic agents; therefore, they may serve as promising agents for enhancing CTL function in several tumors [99].

6. lncRNAs and Innate Immune Response

The innate immune system serves as the initial defense line against infections, engaging in the identification and elimination of harmful agents. The primary recognition of ubiquitous pathogenic components, encompassing pathogen-associated molecular patterns (PAMPs) and damage-associated molecular patterns (DAMPs), occurs through pattern recognition receptors (PRRs) such as toll-like receptors (TLRs), nucleotide binding and oligomerization domain (NOD)-like receptors (NLRs), RIG-I-like receptors (RLRs), and C-type lectin receptors (CLRs). Consequently, this recognition triggers the subsequent activation of key factors like the inflammasome and diverse transcription factors including nuclear factor-κB (NF-κB) and interferon response factors (IRFs). These factors collectively orchestrate the inflammatory response essential for eradicating pathogens [100]. These receptors are present on myeloid cells affiliated with the innate immune system, encompassing monocytes, macrophages, and dendritic cells. Additionally, they are found on tissue-associated cells such as epithelial cells and fibroblasts [101]. Long non-coding RNAs (lncRNAs) are currently implicated in various tasks in the innate immune response. These encompass tasks like preserving hematopoietic stem cells; directing the differentiation and programmed cell death of myeloid cells; and promoting the activation of monocytes, macrophages, and dendritic cells. In initial studies, the differential regulation of lncRNAs in innate immune responses was reported in virus-infected cells (SARS-CoV) and dendritic cells (DC) after stimulation with lipopolysaccharide (LPS), which is par excellence the agonist of TLR4 [102,103]. In this sense, studies show the innate immune responses mediated by TLRs have a promising biological role in cancer regulation [104].
TLRs are usually involved in the recognition of specific pathogen-associated molecular patterns (PAMPs) derived from bacteria, viruses, fungi, and protozoa. The activation of the receptors allows a coordinated immune response to clear infection and eliminate the pathogens [105,106]. Likewise, TLRs play a crucial role in tissue homeostasis by regulating wound healing, non-infectious inflammation, and tissue regeneration [107,108]. The regulation of inflammatory mediators (e.g., cytokines, acute proteins, and anti-microbial peptides, among others) by lncRNAs via TLRs is not fully understood [109,110]. However, some studies reported that TLR4 and TLR7/8 can be activated by specific agonists (e.g., LPS, and R848 synthetic anti-viral compound) that increase the expression of lncRNA-Cox2 via the MyD88-NFkB pathway [34]. lncRNA-Cox2 showed nuclear and cytosolic localization in murine bone marrow-derived macrophages (BMDMs) [111]; the regulation of lncRNA-Cox2 participated both in the activation and repression of immune responses. Moreover, the complex of lncRNA-Cox2 with hnRNP-A/B and hnRNP-A2/B1 can regulate the repression of CCL5 [109,112]. This immune mediator participates in the recruitment of T cells, eosinophils, neutrophils, and basophils to the inflammatory site. Furthermore, in gastric cancer, CCL5 levels correlate with tumor progression and prognosis, whereas in breast cancer, CCL5 produced by breast cancer cells increases the production of matrix metalloproteinase by T cells and/or monocytes. Interestingly, systemic treatment of mice with neutralizing anti-CCL5 antibodies reduced the extent of subcutaneous tumors, liver metastases, and peritoneal carcinosis. In a similar context, the knockdown of CCL5 from CT26 (mouse colon tumor cells) inhibited apoptosis of CD8+ and consequently reduced the size of the tumor in the mice model [113,114].
For example, this inflammatory chemokine activates NK cells. It is crucial to note that NK cells exhibit swift and robust anti-tumor immunity, rendering this potential therapy a focal point of investigation in clinical settings [114]. Considering these dynamics, there is a plausible avenue to explore therapies involving the lncRNA-Cox2. By harnessing its potential, cytokine production could be modulated, potentially thwarting or mitigating cancer progression via the regulation of immune cell activity.
Yet, in the human monocyte cell line (THP-1), it was reported that a positive and negative feedback system produced tumor necrosis factor-alpha (TNF-α) and interleukin 6 (IL-6) via TLR2, and this production was found to be regulated by the lncRNA linc1992/THRIL [115]. This regulation was analyzed by a pull-down assay and an RNA immunoprecipitation (RIP) assay, where linc1992 and hnRNPL formed an RNP complex in vivo. Moreover, chromatin immunoprecipitation (ChIP) assay revealed that hnRNPL binds to the TNF-α promoter region, while the knockdown of linc1992 showed a reduced binding of hnRNPL to the TNF-α promoter region [115]. TNF-α cytokines have potent anti-tumoral properties, and, as the name implies, cause cancer cell death [116]. TNF can be an endogenous tumor promoter because TNF stimulates tumor growth, proliferation, invasion, metastasis, and angiogenesis. However, TNF can also be a cancer killer, and its anti-tumor role may involve immune responses, e.g., promoting tumor stromal destruction by CTL or tumor-infiltrating macrophages [117]. However, TNF-α could stimulate proliferation, survival, migration, and angiogenesis in most cancer cells, resulting in tumor promotion. In sum, TNF-α plays the role of a double-edged sword that could be either pro- or anti-tumorigenic [116].
In addition, an lncRNA microarray analysis showed that the stimulation of THP-1 cells with a TLR4 agonist (i.e., lipopolysaccharide) induces the expression of almost 443 lncRNAs by more than twofold and decreases the expression of 718 lncRNAs, which is double the number of both increased and decreased lncRNAs compared to cells treated without the agonist [112]. In human peripheral blood mononuclear cells, lnc-IL7R was one of the most upregulated lncRNAs after TLR4 and TLR3 activation by lipopolysaccharide and Pam3CSK4, respectively [118]. In addition, negative expression of E-selectin, VCAM-1, IL-8, and IL-6 was observed following TLR4 stimulation [118]. The mechanism by which lncRNA-IL7R regulated E-selectin and VCAM-1 is dependent on the trimethylation of histone H3 at lysine 27 (H3K27me3) [118]. Moreover, increased plasma levels of VCAM-1 and E-selectin are associated with the advanced stage of breast cancer and with the presence of circulating cancer cells [119]. Activation of different TLRs in cancer cells results in an inflammatory response that promotes tumorigenesis; however, TLR has also been found to induce strong anti-tumor activity by indirectly activating the tolerant host immune system to destroy cancer cells [104]. Therefore, the specific modulation of TLRs by a novel or typical agonist could stimulate the expression of specific lncRNAs that participate in immune checkpoints. Increasing the expression of these lncRNAs is a promising new strategy to treat cancer cells. More examples of ncRNA and the regulation of innate immune response were reviewed in detail in a recently published extensive review [34].

7. Cell-Mediated Immunity and lncRNAs

Immune cells have a direct impact on the trajectory of cancer progression or resolution [7]. Yet, the potential of using lncRNAs to orchestrate lineage differentiation as a therapeutic avenue against cancer remains unexplored. A remarkable feature of the expression of lncRNAs is that they are expressed across a spectrum of immune cells, spanning monocytes, macrophages, dendritic cells, neutrophils, T cells, and B cells. This expression intricately corresponds to various immune cellular stages [7]. lncRNA expression is prompted by stimuli encompassing development, differentiation, activation, and immune responses, mediated through diverse mechanisms such as dosage compensation, imprinting, enhancer functions, and transcriptional regulation [33,120] (Figure 2).
Under normal circumstances, immune cells undergo differentiation within the myeloid and lymphoid lineages. However, during infectious or inflammatory processes, immune cells can undergo differentiation [121,122]. Recent investigations have unveiled that a diverse group of lncRNAs participate in B cell differentiation stages, spanning from pre-B1 to memory cells, including plasma blast cells derived from human bone marrow, naive, and memory cells. This comprehensive meta-analysis serves as a foundational step toward identifying lncRNAs associated with malignant lymphomas originating from distinct normal B cell stages, specifically from germinal centers [123].
In the context of inflammatory responses and infectious diseases, hematopoietic differentiation can determine the clearance or progression of infections and inflammatory processes [124]. Noteworthy among the lncRNAs that are implicated in such processes is the lncRNA HOTAIRM1. Particularly, HOTAIRM1 significantly contributes to hematopoietic cell differentiation and is highly expressed during induced granulocytic differentiation in the NB4 promyelocytic leukemia cell line and neutrophils [125]. Neutrophils, while classically involved in anti-microbial functions, also exert substantial influence on the tumor microenvironment. Through the production of cytokines and chemokines, neutrophils facilitate inflammatory cell recruitment and activation. Additionally, their release of reactive oxygen species and proteinases plays a pivotal role in regulating tumor cell proliferation, angiogenesis, and metastasis [126]. Interestingly, studies have linked infiltrating neutrophils in bronchoalveolar carcinoma, melanoma, renal carcinoma, and head and neck squamous-cell carcinoma (HNSCC) to a poor prognosis. As we explore inducing or suppressing neutrophil differentiation as a cancer strategy, lncRNAs are promising targets in this context.
Dendritic cells (DCs), renowned as “nature’s adjuvants”, wield the ability to govern immune tolerance and active immunity. These cells serve as natural vehicles for antigen delivery and exert immunologic effects on tumors [127]. In mouse models, DCs exhibit the capacity to capture tumor antigens released by tumor cells, presenting these antigens to T cells in tumor-draining lymph nodes. This presentation results in the generation of tumor-specific cytotoxic T lymphocytes (CTLs) that contribute to tumor rejection. As such, DCs present themselves as pivotal targets for therapeutic interventions against cancer. Recent discoveries highlight the upregulation of the lncRNA lnc-DC during human DC development. Specifically, lnc-DC engages with STAT3, maintaining its phosphorylation [128]. Intriguingly, the functional consequences of lnc-DC knockdown encompass impaired expression of membrane receptors vital for T cell activation—CD80/86, HLA-DR, and CD40—as well as compromised antigen presentation and reduced IL-12 production post stimulation [129]. Unraveling the intricate role of lnc-DC in dendritic cell differentiation requires further investigation. The alignment between lncRNA regulation and immune cell differentiation may be an innovative strategy for defining cancer progression. Overall, the interplay between lncRNAs and immune cell dynamics provides a novel avenue for understanding and potentially influencing the intricate landscape of cancer progression.

8. Adaptive Immunity

The realm of adaptive immunity traditionally encompasses B and T cells. However, it is important to recognize that ncRNAs have substantial regulatory influence over lymphocyte biology, including interactions with vital pathways such as NF-κB, NOTCH, MYC, and TCR/CRR signaling. Moreover, lncRNAs hold relevance in shaping cell effector functions, underscoring their intricate involvement [34]. Several lncRNAs have emerged as key players in modulating adaptive immunity. These include LincrR-Ccr2-5AS, GAS5, and NeST, which intricately govern TH2 cells, TH17 cells, and CD8+ cells, respectively.
LincrR-Ccr2-5AS is prominent in intergenic lncRNA expression and regulation during T cell development and differentiation. The associated gene significantly impacts the chemokine-mediated signaling pathway, meaning that it has a pivotal role in cell differentiation and migration. Notably, in lymphocytes with suppressed LincrR-Ccr2-5AS expression, Ccr1 was downregulated compared to Ccr5, both of which are crucial chemokine receptors for migration. This intricate connection is further supported by the finding that CD45+ cells with reduced LincrR-Ccr2-5AS expression demonstrated impaired lung migration in a murine model [130].
Maintaining proper lymphocyte population proliferation is essential for immune response regulation and the prevention of leukemic and autoimmune diseases. Within this context, growth-arrest-specific transcript 5 (GAS5) emerges as a critical factor for normal growth arrest in T cells and undifferentiated lymphocytes. Intriguingly, overexpression of GAS5 triggers increased apoptosis rates and a decline in cell-cycle progression, ultimately resulting in a significant reduction in lymphocyte populations. Thus, the potential therapeutic application of targeting GAS5 holds promise in the realm of leukemia and other cancer types [131].
NeST (nettoie Salmonella pas Theiler’s) is intriguing because of its interaction with WDR5, a histone component of the H3 lysine 4 methyltransferase complexes. This interaction leads to the alteration of histone 3 methylation at the IFN-γ locus. The implications of this interaction are profound, as this lncRNA influence extends to epigenetically regulating IFN, subsequently impacting susceptibility to viral and bacterial pathogens. The implications of NeST’s actions have implications for dysregulated IFN-γ activity in human disease, including cancer [132].
Innate and adaptive responses converge in a sophisticated network, collaborating to effectively function and combat pathogens and tumor cells. A delicate balance within this communication network is paramount for accurate immune function. Minor deviations can disrupt this intricate balance, leading to altered immune functions. The ongoing exploration of lncRNAs associated with adaptive responses holds the promise of unveiling novel insights into the landscape of cancer.

9. Harnessing lncRNAs: A New Dimension in Immune Checkpoint Regulation

Cancer cells employ a multifaceted approach to evade immune surveillance, with the modulation of immune checkpoint molecules emerging as a significant mechanism of immune evasion. This section explores the intricate relationship between immune checkpoints and long non-coding RNAs (lncRNAs) within the context of cancer immunotherapy.

9.1. Checkpoint Manipulation: A Strategy for Immune Evasion

Cancer cells often manipulate immune checkpoint molecules to thwart their elimination by immune cells. While experimental use of immune checkpoint inhibitors (ICI) has shown promise, its clinical translation has been met with limited success. Conversely, the exploration of agonists for stimulatory immune checkpoints is underway [133,134]. Stopping the activation of inhibitory immunoreceptors has potential in the reactivation of anti-tumoral immune functions, a concept currently under experimental scrutiny and poised for future clinical application. Several cancer-related inhibitory immunoreceptors related to cancer have been identified, including PD-1 (programmed cell death protein 1), CTLA-4 (T lymphocyte-associated antigen), LAG-3 (lymphocyte-activation gene 3), TIM-3 (T cell immunoglobulin domain and mucin domain-3), TIGIT(T cell immune receptor with immunoglobulin and ITIM domain), and BTLA (B and T lymphocyte attenuator) [133].
Programmed death protein 1 (PD-1) and its ligand 1 (PD-L1) exemplify the pivotal role of negative checkpoints in cancer immune evasion. PD-1, expressed on the surface of T cells and myeloid cells, engages PD-L1, which is present on tumor cells [135]. This interaction effectively dampens T cell proliferation, cytokine production, and cytotoxic activity [135]. Antibodies targeting PD-L1 have shown clinical success in diverse cancers, including melanoma, leukemia, lymphoma, liver cancer, colorectal cancer, urothelial cancer, squamous-cell carcinoma of the head and neck, cervical cancer, kidney cancer, stomach cancer, and breast cancer [136,137]. While monotherapy and combination therapies have demonstrated clinical promise, certain cancers exhibit a low response rate, primarily due to the absence of well-defined biomarkers, issues of toxicity, and drug resistance [137].

9.2. lncRNAs Enter the Arena: A Novel Perspective

Recent revelations have unveiled a new role for lncRNAs in cancer progression, namely lncRNAs that could become potentially targetable PD-L1 inhibitors. For instance, Qu, Shuang, et al. discovered an IFNγ-upregulated splice isoform of the PD-L1 lncRNA that enhances the proliferation and invasion of lung adenocarcinoma cells through direct binding to c-Myc, enhancing its transcriptional activity. This groundbreaking discovery underscores the potential of combined PD-L1 and PD-L1-lncRNA therapies not only in lung cancer but also in various cancer types [138].
Beyond PD-1/PD-L1 pathways, lncRNAs, such as lnc-OC1, have emerged as regulators of PD-L1 expression. In endometrial cancer cells, lnc-OC1 enhances PD-L1 expression, bolstering cell viability and thwarting apoptosis [139]. Similarly, several lncRNAs positively correlate with PD-L1 in hepatocellular carcinomas (HCCs), including MIR155HG, PCED1B-AS1, and MIAT [140]. Notably, MIAT strongly correlates with the expression of PD-1, PD-L1, and CTLA4 in HCC, influencing immune escape mechanisms and resistance to sorafenib [140]. Over the past 5 years, research groups have diligently pursued the identification of immune-related lncRNA signatures across diverse cancers. These signatures encompass various immune factors, such as immune cells, cytokines, and immune checkpoints, all of which play pivotal roles in the progression and regulation of the tumor microenvironment. Importantly, the activity of these factors can be modulated by lncRNAs (see Table 1), underscoring the potential of targeting specific lncRNAs to curb cancer cell proliferation and enhance the efficacy of immunotherapies.

10. Navigating the Challenges: Targeting lncRNAs for Immunotherapy

With their remarkable capabilities, lncRNAs are risen as promising new targets that influence the treatment of various diseases, including cancer. Hence, they can play a significant role in personalized cancer therapy.

10.1. Intricate Cellular Localization

Such targeting approaches seek to reduce the impact of oncogenic lncRNAs or disrupt their functions to thwart the development of cancer. Several strategies, such as suppressing oncogenic lncRNAs, modifying their epigenetic influence, interfering with their activity, reinstating downregulated or lost lncRNAs, and harnessing regulatory elements and expression patterns of lncRNAs, have been proposed for therapeutic targeting of lncRNAs in cancer. These methods have demonstrated inhibitory effects on malignant processes [142]. In the case of maintaining the effectiveness of lncRNAs in performing their biological functions, it is crucial that the transfer of these lncRNA molecules preserve their secondary structure. Natural intercellular transfer of lncRNAs occurs through extracellular vesicles (EVs), and numerous research efforts have demonstrated that delivering lncRNAs via EVs contributes to disease progression across nearly all organ systems [143,144,145]. The potential of long non-coding RNAs (lncRNAs) in immunotherapy is undeniable, given their multifaceted roles in gene regulation, encompassing epigenetic, transcriptional, and post-transcriptional activities. An extensive review about the role of lncRNA in tumor immunotherapy published by Pan et al. in 2023 can be revised in detail to explore this area of research [91,146]. However, harnessing lncRNAs for therapeutic benefit presents several formidable challenges.
lncRNAs exhibit diverse localization patterns within cells, residing both in the cytoplasm and nucleus. Furthermore, these molecules are secreted in exosomes, facilitating intercellular communication (Figure 3). In the context of the TME, exosomal lncRNAs play critical roles in cancer cell proliferation, immunosuppression, and chemoresistance [147]. The challenge here lies in delivering specific lncRNAs to their intended targets. lncRNAs are vulnerable to rapid degradation by nucleases in biological fluids. Additionally, ensuring their selective delivery to target cells remains a daunting task. Achieving subsequent activity within the cytoplasm or nucleus complicates the design of lncRNA-based therapeutic strategies for cancer treatment. Numerous approaches have been explored to tackle these challenges [148].

10.2. Delivery Strategies

Lentiviral vectors, although used in experimental settings to achieve targeted lncRNA overexpression or knockdown, pose concerns regarding their safety due to the theoretical risk of oncogene insertion [149]. Third-generation lentiviral vectors have shown promise in clinical trials for gene introduction in hematopoietic stem cells and CAR T cell therapy [149].
Nanoliposomes have shown promise in preclinical studies [39,150]. However, optimizing their composition for efficient nuclear delivery remains a continuous challenge. Innovative combinations of liposomes and lipid nanoparticles (NPs), coupled with aptamers, antibodies, peptides, and protein ligands, have been explored for active or passive targeted drug delivery systems [149]
Uncertainties and Risks. Addressing the stability and appropriate dosages of lncRNAs, as well as their immunogenicity, administration routes, real risks, and potential side effects is paramount. Achieving this requires a deep understanding of lncRNAs and their intricate regulation. While the Food and Drug Administration (FDA) and European Medicines Agency (EMA) have approved nearly 14 types of liposomal products for various applications, including vaccine adjuvants and drug delivery [151], careful consideration of strategies such as neutral DOPC-based nanoliposomes is necessary for successful in vivo trials [152].
In conclusion, the journey to harnessing lncRNAs for resolving chronic and acute diseases, including cancer, involves addressing these multifaceted challenges. Experimental and clinical trials will continue to pave the way toward discovering the most effective strategies for lncRNA delivery, ultimately advancing the field of immunotherapy.

11. Conclusion and Perspectives

lncRNAs have emerged as versatile regulators with essential roles in immune modulation, cellular physiology, development, and the pathogenesis of diseases, including cancer. Their multifaceted functions underscore their potential as valuable therapeutic targets in cancer treatment. However, it is evident that the therapeutic targeting of lncRNAs, along with the efficient and safe delivery of therapeutic agents, has been relatively overlooked compared to that of their RNA counterparts such as mRNA and microRNAs. Notably, the limited number of clinical trials involving lncRNAs, exemplified by a single reported trial (www.clinicaltrials.gov, NCT02641847, accessed on 1 January 2020) [153], highlights the substantial gaps that persist in this evolving field. To catalyze progress in the development of lncRNA-targeting therapeutics, it is paramount to confront the formidable challenges that lie ahead.
Exploiting bioinformatics, comprehensive databases, and high-throughput technologies is fundamental. This approach can unravel critical insights into various facets of lncRNAs, such as their localization, intricate structural features, functional motifs, underlying mechanisms of action, and intricate interactions with other vital biological molecules. A comprehensive functional screening strategy emerges as a necessary step to pinpoint suitable lncRNAs as therapeutic targets.
Delving into the properties of modified oligonucleotides is indispensable. A profound understanding of these properties is essential not only to mitigate potential toxicity concerns but also to facilitate the development of efficient and safe drugs targeting lncRNAs.
Beyond these pivotal steps, several other dimensions must be explored in the journey of lncRNA-targeted therapeutics.
Innovative delivery systems must be developed to ensure the precise and effective transport of therapeutic agents to their intended lncRNA targets. Achieving this level of precision is crucial to optimize therapeutic outcomes.
Recognizing that the roles of lncRNAs can vary across different cancer types and stages is vital. Tailoring therapeutic strategies to specific contexts can enhance their efficacy.
Given that lncRNAs operate within intricate cellular regulatory networks, gaining a comprehensive understanding of their specific functions within these networks is essential. This knowledge can unveil novel therapeutic avenues.
Strategies to ensure the stability and bioavailability of therapeutic agents warrant thorough exploration. These efforts are pivotal in maximizing the therapeutic potential of lncRNA-targeted drugs.
In summary, the potential of lncRNAs as therapeutic targets in cancer treatment is immense. Yet, to harness this potential effectively, several multifaceted challenges, ranging from the need for a deeper understanding of lncRNA biology to the development of innovative delivery systems and safety considerations, must be confronted. As we navigate the intricate landscape of lncRNAs, continued innovation and collaborative endeavors will be instrumental in unlocking their full therapeutic promise, ultimately advancing the field of lncRNA-targeted cancer therapeutics.

Author Contributions

Conceptualization, M.M.-C. and A.M.E.; writing—original draft preparation, M.M.-C. and A.M.E.; writing—review and editing, A.M.E., P.A. and C.R.-A.; supervision, G.L.-B., P.A. and C.R.-A. All authors have read and agreed to the published version of the manuscript.

Funding

None of the authors received financial support for this work.

Acknowledgments

We thank Ashli Nguyen-Villarreal, scientific publication editor at the Research Medical Library at The University of Texas MD Anderson Cancer Center, for editing this. We thank Itzel Altamirano-Mendoza for her help in the design and preparation of the images. BioRender was used to design the figures.

Conflicts of Interest

The authors declare no conflict of interest.

Abbreviations

ncRNAsnon-coding RNAs
lncRNAlong ncRNA
miRNAsmicroRNAs
tRNAsmall transfer RNA
rRNAribosomal RNA
siRNAsmall interfering RNA
miRNAmicroRNA
RISC complexRNA-induced silencing complex
lincRNAsintronic lncRNAs
TAMtumor-associated macrophages
lncRNA SNHG1long ncRNAs- small nucleolar RNA hot gene1
FlicrFoxp3 long intergenic non-coding RNA
FlatrFoxp3-specific lncRNA anticipatory of Tregs
MDSCmyeloid-derived suppressor cells
TMEtumor microenvironment
NOTCH2neurogenic locus notch homolog protein 2
lnc-EGFRlong ncRNAs- epidermal growth factor receptor
HCChepatocellular carcinoma
PD-L1programmed death protein 1 ligand
SRAsteroid receptor RNA activator
PRprogesterone receptor
ERestrogen receptor
GRglucocorticoid receptor
ARandrogen receptor
PCGEM1prostate-specific transcript 1
CUDRcancer upregulated drug resistant
Tregregulatory T cells
DOPC1, 2-dioleoyl-sn-glycero-3-phosphocholine
PCA3prostate cancer gene 3
NSCLCsnon-small-cell lung cancer
MPNsmagneto-plasmonic nanoparticles
MRmagnetic resonance
PAphotoacoustic
HGSOChigh-grade serous ovarian cancer
CTLcytotoxic T cells
TLRsToll-like-receptors
PAMPspathogen-associated molecular patterns
BMDMsbone marrow-derived macrophages
NKnatural killer cells
THP-1human monocyte cell line
VCAM-1vascular cell adhesion molecule 1
HOTAIRM1HOX antisense intergenic RNA myeloid 1
HNSCChead and neck squamous-cell carcinoma
DCsdendritic cells
CTLA-4T lymphocyte-associated antigen
LAG-3lymphocyte-activation gene 3
TIM-3T cell immunoglobulin domain and mucin domain-3
TIGITT cell immune receptor with immunoglobulin and ITIM domain

References

  1. Huttenhofer, A.; Vogel, J. Experimental approaches to identify non-coding RNAs. Nucleic Acids Res. 2006, 34, 635–646. [Google Scholar] [CrossRef] [PubMed]
  2. Kung, J.T.; Colognori, D.; Lee, J.T. Long noncoding RNAs: Past, present, and future. Genetics 2013, 193, 651–669. [Google Scholar] [CrossRef] [PubMed]
  3. Lin, S.; Gregory, R.I. MicroRNA biogenesis pathways in cancer. Nat. Rev. Cancer 2015, 15, 321–333. [Google Scholar] [CrossRef]
  4. Macfarlane, L.A.; Murphy, P.R. MicroRNA: Biogenesis, Function and Role in Cancer. Curr. Genom. 2010, 11, 537–561. [Google Scholar] [CrossRef] [PubMed]
  5. Badowski, C.; He, B.; Garmire, L.X. fBlood-derived lncRNAs as biomarkers for cancer diagnosis: The Good, the Bad and the Beauty. NPJ Precis. Oncol. 2022, 6, 40. [Google Scholar] [CrossRef]
  6. Carninci, P.; Kasukawa, T.; Katayama, S.; Gough, J.; Frith, M.C.; Maeda, N.; Oyama, R.; Ravasi, T.; Lenhard, B.; Wells, C.; et al. The transcriptional landscape of the mammalian genome. Science 2005, 309, 1559–1563. [Google Scholar] [CrossRef]
  7. Elling, R.; Chan, J.; Fitzgerald, K.A. Emerging role of long noncoding RNAs as regulators of innate immune cell development and inflammatory gene expression. Eur. J. Immunol. 2016, 46, 504–512. [Google Scholar] [CrossRef]
  8. Noh, J.H.; Kim, K.M.; Abdelmohsen, K.; Yoon, J.H.; Panda, A.C.; Munk, R.; Kim, J.; Curtis, J.; Moad, C.A.; Wohler, C.M.; et al. HuR and GRSF1 modulate the nuclear export and mitochondrial localization of the lncRNA RMRP. Genes Dev. 2016, 30, 1224–1239. [Google Scholar] [CrossRef]
  9. Cabili, M.N.; Dunagin, M.C.; McClanahan, P.D.; Biaesch, A.; Padovan-Merhar, O.; Regev, A.; Rinn, J.L.; Raj, A. Localization and abundance analysis of human lncRNAs at single-cell and single-molecule resolution. Genome Biol. 2015, 16, 20. [Google Scholar] [CrossRef]
  10. Matsui, K.; Nishizawa, M.; Ozaki, T.; Kimura, T.; Hashimoto, I.; Yamada, M.; Kaibori, M.; Kamiyama, Y.; Ito, S.; Okumura, T. Natural antisense transcript stabilizes inducible nitric oxide synthase messenger RNA in rat hepatocytes. Hepatology 2008, 47, 686–697. [Google Scholar] [CrossRef]
  11. Zhang, K.; Shi, Z.M.; Chang, Y.N.; Hu, Z.M.; Qi, H.X.; Hong, W. The ways of action of long non-coding RNAs in cytoplasm and nucleus. Gene 2014, 547, 1–9. [Google Scholar] [CrossRef]
  12. Wang, K.C.; Chang, H.Y. Molecular mechanisms of long noncoding RNAs. Mol. Cell 2011, 43, 904–914. [Google Scholar] [CrossRef] [PubMed]
  13. Statello, L.; Guo, C.J.; Chen, L.L.; Huarte, M. Gene regulation by long non-coding RNAs and its biological functions. Nat. Rev. Mol. Cell Biol. 2021, 22, 96–118. [Google Scholar] [CrossRef]
  14. Huarte, M.; Guttman, M.; Feldser, D.; Garber, M.; Koziol, M.J.; Kenzelmann-Broz, D.; Khalil, A.M.; Zuk, O.; Amit, I.; Rabani, M.; et al. A large intergenic noncoding RNA induced by p53 mediates global gene repression in the p53 response. Cell 2010, 142, 409–419. [Google Scholar] [CrossRef] [PubMed]
  15. Xu, J.; Xu, J.; Liu, X.; Jiang, J. The role of lncRNA-mediated ceRNA regulatory networks in pancreatic cancer. Cell Death Discov. 2022, 8, 287. [Google Scholar] [CrossRef]
  16. Laugesen, A.; Hojfeldt, J.W.; Helin, K. Role of the Polycomb Repressive Complex 2 (PRC2) in Transcriptional Regulation and Cancer. Cold Spring Harb. Perspect. Med. 2016, 6, a026575. [Google Scholar] [CrossRef] [PubMed]
  17. Mondal, T.; Subhash, S.; Vaid, R.; Enroth, S.; Uday, S.; Reinius, B.; Mitra, S.; Mohammed, A.; James, A.R.; Hoberg, E.; et al. MEG3 long noncoding RNA regulates the TGF-beta pathway genes through formation of RNA-DNA triplex structures. Nature Commun. 2015, 6, 7743. [Google Scholar] [CrossRef]
  18. Hacisuleyman, E.; Goff, L.A.; Trapnell, C.; Williams, A.; Henao-Mejia, J.; Sun, L.; McClanahan, P.; Hendrickson, D.G.; Sauvageau, M.; Kelley, D.R.; et al. Topological organization of multichromosomal regions by the long intergenic noncoding RNA Firre. Nat. Struct. Mol. Biol. 2014, 21, 198–206. [Google Scholar] [CrossRef]
  19. Hung, T.; Wang, Y.; Lin, M.F.; Koegel, A.K.; Kotake, Y.; Grant, G.D.; Horlings, H.M.; Shah, N.; Umbricht, C.; Wang, P.; et al. Extensive and coordinated transcription of noncoding RNAs within cell-cycle promoters. Nat. Genet. 2011, 43, 621–629. [Google Scholar] [CrossRef]
  20. Fischer, M.; Riege, K.; Hoffmann, S. The landscape of human p53-regulated long non-coding RNAs reveals critical host gene co-regulation. Mol. Oncol. 2023, 17, 1263–1279. [Google Scholar] [CrossRef]
  21. Peng, C.; Hu, W.; Weng, X.; Tong, R.; Cheng, S.; Ding, C.; Xiao, H.; Lv, Z.; Xie, H.; Zhou, L.; et al. Over Expression of Long Non-Coding RNA PANDA Promotes Hepatocellular Carcinoma by Inhibiting Senescence Associated Inflammatory Factor IL8. Sci. Rep. 2017, 7, 4186. [Google Scholar] [CrossRef]
  22. Zappulla, D.C.; Cech, T.R. Yeast telomerase RNA: A flexible scaffold for protein subunits. Proc. Natl. Acad. Sci. USA 2004, 101, 10024–10029. [Google Scholar] [CrossRef]
  23. McHugh, C.A.; Chen, C.K.; Chow, A.; Surka, C.F.; Tran, C.; McDonel, P.; Pandya-Jones, A.; Blanco, M.; Burghard, C.; Moradian, A.; et al. The Xist lncRNA interacts directly with SHARP to silence transcription through HDAC3. Nature 2015, 521, 232–236. [Google Scholar] [CrossRef]
  24. Chu, C.; Zhang, Q.C.; da Rocha, S.T.; Flynn, R.A.; Bharadwaj, M.; Calabrese, J.M.; Magnuson, T.; Heard, E.; Chang, H.Y. Systematic discovery of Xist RNA binding proteins. Cell 2015, 161, 404–416. [Google Scholar] [CrossRef]
  25. Sunwoo, H.; Wu, J.Y.; Lee, J.T. The Xist RNA-PRC2 complex at 20-nm resolution reveals a low Xist stoichiometry and suggests a hit-and-run mechanism in mouse cells. Proc. Natl. Acad. Sci. USA 2015, 112, E4216–E4225. [Google Scholar] [CrossRef]
  26. Moindrot, B.; Brockdorff, N. RNA binding proteins implicated in Xist-mediated chromosome silencing. Semin. Cell Dev. Biol. 2016, 56, 58–70. [Google Scholar] [CrossRef] [PubMed]
  27. Ruiz-Orera, J.; Villanueva-Canas, J.L.; Alba, M.M. Evolution of new proteins from translated sORFs in long non-coding RNAs. Exp. Cell Res. 2020, 391, 111940. [Google Scholar] [CrossRef]
  28. Wang, Y.; Wu, S.; Zhu, X.; Zhang, L.; Deng, J.; Li, F.; Guo, B.; Zhang, S.; Wu, R.; Zhang, Z.; et al. LncRNA-encoded polypeptide ASRPS inhibits triple-negative breast cancer angiogenesis. J. Exp. Med. 2020, 217, 20190950. [Google Scholar] [CrossRef] [PubMed]
  29. Pan, J.; Wang, R.; Shang, F.; Ma, R.; Rong, Y.; Zhang, Y. Functional Micropeptides Encoded by Long Non-Coding RNAs: A Comprehensive Review. Front. Mol. Biosci. 2022, 9, 817517. [Google Scholar] [CrossRef]
  30. Huang, J.F.; Guo, Y.J.; Zhao, C.X.; Yuan, S.X.; Wang, Y.; Tang, G.N.; Zhou, W.P.; Sun, S.H. Hepatitis B virus X protein (HBx)-related long noncoding RNA (lncRNA) down-regulated expression by HBx (Dreh) inhibits hepatocellular carcinoma metastasis by targeting the intermediate filament protein vimentin. Hepatology 2013, 57, 1882–1892. [Google Scholar] [CrossRef] [PubMed]
  31. Guzel, E.; Okyay, T.M.; Yalcinkaya, B.; Karacaoglu, S.; Gocmen, M.; Akcakuyu, M.H. Tumor suppressor and oncogenic role of long non-coding RNAs in cancer. North. Clin. Istanb. 2020, 7, 81–86. [Google Scholar] [CrossRef]
  32. Beylerli, O.; Gareev, I.; Sufianov, A.; Ilyasova, T.; Guang, Y. Long noncoding RNAs as promising biomarkers in cancer. Non-Coding Rna Res. 2022, 7, 66–70. [Google Scholar] [CrossRef]
  33. Ahmad, I.; Valverde, A.; Ahmad, F.; Naqvi, A.R. Long Noncoding RNA in Myeloid and Lymphoid Cell Differentiation, Polarization and Function. Cells 2020, 9, 269. [Google Scholar] [CrossRef]
  34. Bocchetti, M.; Scrima, M.; Melisi, F.; Luce, A.; Sperlongano, R.; Caraglia, M.; Zappavigna, S.; Cossu, A.M. LncRNAs and Immunity: Coding the Immune System with Noncoding Oligonucleotides. Int. J. Mol. Sci. 2021, 22, 1741. [Google Scholar] [CrossRef] [PubMed]
  35. Walther, K.; Schulte, L.N. The role of lncRNAs in innate immunity and inflammation. RNA Biol. 2021, 18, 587–603. [Google Scholar] [CrossRef] [PubMed]
  36. Siegel, R.L.; Miller, K.D.; Jemal, A. Cancer Statistics, 2017. CA A Cancer J. Clin. 2017, 67, 7–30. [Google Scholar] [CrossRef]
  37. Qian, Y.; Shi, L.; Luo, Z. Long Non-coding RNAs in Cancer: Implications for Diagnosis, Prognosis, and Therapy. Front. Med. 2020, 7, 612393. [Google Scholar] [CrossRef]
  38. Elsayed, A.M.; Amero, P.; Salama, S.A.; Abdelaziz, A.H.; Lopez-Berestein, G.; Rodriguez-Aguayo, C. Back to the Future: Rethinking the Great Potential of lncRNA(S)for Optimizing Chemotherapeutic Response in Ovarian Cancer. Cancers 2020, 12, 2406. [Google Scholar] [CrossRef] [PubMed]
  39. Elsayed, A.M.; Bayraktar, E.; Amero, P.; Salama, S.A.; Abdelaziz, A.H.; Ismail, R.S.; Zhang, X.; Ivan, C.; Sood, A.K.; Lopez-Berestein, G.; et al. PRKAR1B-AS2 Long Noncoding RNA Promotes Tumorigenesis, Survival, and Chemoresistance via the PI3K/AKT/mTOR Pathway. Int. J. Mol. Sci. 2021, 22, 1882. [Google Scholar] [CrossRef]
  40. Gutschner, T.; Diederichs, S. The hallmarks of cancer A long non-coding RNA point of view. Rna Biol. 2012, 9, 703–719. [Google Scholar] [CrossRef]
  41. Srikantan, V.; Zou, Z.; Petrovics, G.; Xu, L.; Augustus, M.; Davis, L.; Livezey, J.R.; Connell, T.; Sesterhenn, I.A.; Yoshino, K.; et al. PCGEM1, a prostate-specific gene, is overexpressed in prostate cancer. Proc. Natl. Acad. Sci. USA 2000, 97, 12216–12221. [Google Scholar] [CrossRef] [PubMed]
  42. Fu, X.Q.; Ravindranath, L.; Tran, N.; Petrovics, G.; Srivastava, S. Regulation of apoptosis by a prostate-specific and prostate cancer-associated noncoding gene, PCGEM1. DNA Cell Biol. 2006, 25, 135–141. [Google Scholar] [CrossRef]
  43. Shi, T.; Gao, G.; Cao, Y.L. Long Noncoding RNAs as Novel Biomarkers Have a Promising Future in Cancer Diagnostics. Dis. Markers 2016, 2016, 9085195. [Google Scholar] [CrossRef]
  44. Maier, I.M.; Maier, A.C. miRNAs and lncRNAs: Potential Non-Invasive Biomarkers for Endometriosis. Biomedicines 2021, 9, 1662. [Google Scholar] [CrossRef] [PubMed]
  45. Li, J.; Cui, Z.; Li, H.; Lv, X.; Gao, M.; Yang, Z.; Bi, Y.; Zhang, Z.; Wang, S.; Zhou, B.; et al. Clinicopathological and prognostic significance of long noncoding RNA MALAT1 in human cancers: A review and meta-analysis. Cancer Cell Int. 2018, 18, 109. [Google Scholar] [CrossRef] [PubMed]
  46. Wang, Y.; Xue, D.; Li, Y.; Pan, X.; Zhang, X.; Kuang, B.; Zhou, M.; Li, X.; Xiong, W.; Li, G.; et al. The Long Noncoding RNA MALAT-1 is A Novel Biomarker in Various Cancers: A Meta-analysis Based on the GEO Database and Literature. J. Cancer 2016, 7, 991–1001. [Google Scholar] [CrossRef]
  47. Jing, D.; Zhu, F.; Xu, Z.; Zhang, G.; Zhou, G. The role of long noncoding RNA (lncRNA) nuclear-enriched abundant transcript 1 (NEAT1) in immune diseases. Transpl. Immunol. 2022, 75, 101716. [Google Scholar] [CrossRef]
  48. Chen, Y.; Zitello, E.; Guo, R.; Deng, Y. The function of LncRNAs and their role in the prediction, diagnosis, and prognosis of lung cancer. Clin. Transl. Med. 2021, 11, e367. [Google Scholar] [CrossRef]
  49. Li, J.; Wang, X.; Tang, J.; Jiang, R.; Zhang, W.; Ji, J.; Sun, B. HULC and Linc00152 Act as Novel Biomarkers in Predicting Diagnosis of Hepatocellular Carcinoma. Cell Physiol. Biochem. 2015, 37, 687–696. [Google Scholar] [CrossRef] [PubMed]
  50. Leyten, G.H.; Hessels, D.; Jannink, S.A.; Smit, F.P.; de Jong, H.; Cornel, E.B.; de Reijke, T.M.; Vergunst, H.; Kil, P.; Knipscheer, B.C.; et al. Prospective multicentre evaluation of PCA3 and TMPRSS2-ERG gene fusions as diagnostic and prognostic urinary biomarkers for prostate cancer. Eur. Urol. 2014, 65, 534–542. [Google Scholar] [CrossRef]
  51. Wang, M.; Ma, X.; Zhu, C.; Guo, L.; Li, Q.; Liu, M.; Zhang, J. The prognostic value of long non coding RNAs in non small cell lung cancer: A meta-analysis. Oncotarget 2016, 7, 81292–81304. [Google Scholar] [CrossRef]
  52. Wei, M.M.; Zhou, G.B. Long Non-coding RNAs and Their Roles in Non-small-cell Lung Cancer. Genom. Proteom. Bioinform. 2016, 14, 280–288. [Google Scholar] [CrossRef]
  53. Pichler, M.; Rodriguez-Aguayo, C.; Nam, S.Y.; Dragomir, M.P.; Bayraktar, R.; Anfossi, S.; Knutsen, E.; Ivan, C.; Fuentes-Mattei, E.; Lee, S.K.; et al. Therapeutic potential of FLANC, a novel primate-specific long non-coding RNA in colorectal cancer. Gut 2020, 69, 1818–1831. [Google Scholar] [CrossRef]
  54. Rigoutsos, I.; Lee, S.K.; Nam, S.Y.; Anfossi, S.; Pasculli, B.; Pichler, M.; Jing, Y.; Rodriguez-Aguayo, C.; Telonis, A.G.; Rossi, S.; et al. N-BLR, a primate-specific non-coding transcript leads to colorectal cancer invasion and migration. Genome Biol. 2017, 18, 98. [Google Scholar] [CrossRef] [PubMed]
  55. Liu, B.; Sun, L.; Liu, Q.; Gong, C.; Yao, Y.; Lv, X.; Lin, L.; Yao, H.; Su, F.; Li, D.; et al. A cytoplasmic NF-κB interacting long noncoding RNA blocks IκB phosphorylation and suppresses breast cancer metastasis. Cancer Cell 2015, 27, 370–381. [Google Scholar] [CrossRef] [PubMed]
  56. Castellanos-Rubio, A.; Kratchmarov, R.; Sebastian, M.; Garcia-Etxebarria, K.; Garcia, L.; Irastorza, I.; Ghosh, S. Cytoplasmic Form of Carlr lncRNA Facilitates Inflammatory Gene Expression upon NF-κB Activation. J. Immunol. 2017, 199, 581–588. [Google Scholar] [CrossRef]
  57. Desind, S.Z.; Iacona, J.R.; Yu, C.Y.; Mitrofanova, A.; Lutz, C.S. PACER lncRNA regulates COX-2 expression in lung cancer cells. Oncotarget 2022, 13, 291–306. [Google Scholar] [CrossRef] [PubMed]
  58. Hiam-Galvez, K.J.; Allen, B.M.; Spitzer, M.H. Systemic immunity in cancer. Nat. Rev. Cancer 2021, 21, 345–359. [Google Scholar] [CrossRef]
  59. Egeblad, M.; Nakasone, E.S.; Werb, Z. Tumors as Organs: Complex Tissues that Interface with the Entire Organism. Dev. Cell 2010, 18, 884–901. [Google Scholar] [CrossRef]
  60. Wang, J.; Peng, C.; Dai, W.; Chen, X.; Meng, J.; Jiang, T. Exploring Tumor Immune Microenvironment and Its Associations with Molecular Characteristics in Melanoma. Front. Oncol. 2022, 12, 821578. [Google Scholar] [CrossRef]
  61. Lan, T.; Chen, L.; Wei, X. Inflammatory Cytokines in Cancer: Comprehensive Understanding and Clinical Progress in Gene Therapy. Cells 2021, 10, 100. [Google Scholar] [CrossRef]
  62. Zappavigna, S.; Cossu, A.M.; Grimaldi, A.; Bocchetti, M.; Ferraro, G.A.; Nicoletti, G.F.; Filosa, R.; Caraglia, M. Anti-Inflammatory Drugs as Anticancer Agents. Int. J. Mol. Sci. 2020, 21, 2605. [Google Scholar] [CrossRef]
  63. Adachi, M.; Sakamoto, H.; Kawamura, R.; Wang, W.; Imai, K.; Shinomura, Y. Nonsteroidal anti-inflammatory drugs and oxidative stress in cancer cells. Histol. Histopathol. 2007, 22, 437–442. [Google Scholar] [PubMed]
  64. Kazberuk, A.; Chalecka, M.; Palka, J.; Surazynski, A. Nonsteroidal Anti-Inflammatory Drugs as PPAR gamma Agonists Can Induce PRODH/POX-Dependent Apoptosis in Breast Cancer Cells: New Alternative Pathway in NSAID-Induced Apoptosis. Int. J. Mol. Sci. 2022, 23, 1510. [Google Scholar] [CrossRef] [PubMed]
  65. Raskov, H.; Orhan, A.; Christensen, J.P.; Gogenur, I. Cytotoxic CD8(+) T cells in cancer and cancer immunotherapy. Br. J. Cancer 2021, 124, 359–367. [Google Scholar] [CrossRef] [PubMed]
  66. Dallavalasa, S.; Beeraka, N.M.; Basavaraju, C.G.; Tulimilli, S.V.; Sadhu, S.P.; Rajesh, K.; Aliev, G.; Madhunapantula, S.V. The Role of Tumor Associated Macrophages (TAMs) in Cancer Progression, Chemoresistance, Angiogenesis and Metastasis—Current Status. Curr. Med. Chem. 2021, 28, 8203–8236. [Google Scholar] [CrossRef]
  67. Kim, S.K.; Cho, S.W. The Evasion Mechanisms of Cancer Immunity and Drug Intervention in the Tumor Microenvironment. Front. Pharmacol. 2022, 13, 868695. [Google Scholar] [CrossRef]
  68. Lindau, D.; Gielen, P.; Kroesen, M.; Wesseling, P.; Adema, G.J. The immunosuppressive tumour network: Myeloid-derived suppressor cells, regulatory T cells and natural killer T cells. Immunology 2013, 138, 105–115. [Google Scholar] [CrossRef]
  69. Xing, Y.; Ruan, G.; Ni, H.; Qin, H.; Chen, S.; Gu, X.; Shang, J.; Zhou, Y.; Tao, X.; Zheng, L. Tumor Immune Microenvironment and Its Related miRNAs in Tumor Progression. Front. Immunol. 2021, 12, 624725. [Google Scholar] [CrossRef]
  70. Chamoto, K.; Hatae, R.; Honjo, T. Current issues and perspectives in PD-1 blockade cancer immunotherapy. Int. J. Clin. Oncol. 2020, 25, 790–800. [Google Scholar] [CrossRef]
  71. Ribas, A.; Wolchok, J.D. Cancer immunotherapy using checkpoint blockade. Science 2018, 359, 1350–1355. [Google Scholar] [CrossRef]
  72. Baumeister, S.H.; Freeman, G.J.; Dranoff, G.; Sharpe, A.H. Coinhibitory Pathways in Immunotherapy for Cancer. Annu. Rev. Immunol. 2016, 34, 539–573. [Google Scholar] [CrossRef]
  73. Leach, D.R.; Krummel, M.F.; Allison, J.P. Enhancement of antitumor immunity by CTLA-4 blockade. Science 1996, 271, 1734–1736. [Google Scholar] [CrossRef]
  74. van Elsas, A.; Hurwitz, A.A.; Allison, J.P. Combination immunotherapy of B16 melanoma using anti-cytotoxic T lymphocyte-associated antigen 4 (CTLA-4) and granulocyte/macrophage colony-stimulating factor (GM-CSF)-producing vaccines induces rejection of subcutaneous and metastatic tumors accompanied by autoimmune depigmentation. J. Exp. Med. 1999, 190, 355–366. [Google Scholar] [CrossRef]
  75. Kwon, E.D.; Hurwitz, A.A.; Foster, B.A.; Madias, C.; Feldhaus, A.L.; Greenberg, N.M.; Burg, M.B.; Allison, J.P. Manipulation of T cell costimulatory and inhibitory signals for immunotherapy of prostate cancer. Proc. Natl. Acad. Sci. USA 1997, 94, 8099–8103. [Google Scholar] [CrossRef]
  76. Van Ginderachter, J.A.; Liu, Y.; Geldhof, A.B.; Brijs, L.; Thielemans, K.; De Baetselier, P.; Raes, G. B7-1, IFN gamma and anti-CTLA-4 co-operate to prevent T-cell tolerization during immunotherapy against a murine T-lymphoma. Int. J. Cancer 2000, 87, 539–547. [Google Scholar] [CrossRef]
  77. Saha, A.; Chatterjee, S.K. Combination of CTL-associated antigen-4 blockade and depletion of CD25 regulatory T cells enhance tumour immunity of dendritic cell-based vaccine in a mouse model of colon cancer. Scand. J. Immunol. 2010, 71, 70–82. [Google Scholar] [CrossRef] [PubMed]
  78. Sutmuller, R.P.; van Duivenvoorde, L.M.; van Elsas, A.; Schumacher, T.N.; Wildenberg, M.E.; Allison, J.P.; Toes, R.E.; Offringa, R.; Melief, C.J. Synergism of cytotoxic T lymphocyte-associated antigen 4 blockade and depletion of CD25(+) regulatory T cells in antitumor therapy reveals alternative pathways for suppression of autoreactive cytotoxic T lymphocyte responses. J. Exp. Med. 2001, 194, 823–832. [Google Scholar] [CrossRef] [PubMed]
  79. Lou, Y.; Wang, G.; Lizée, G.; Kim, G.J.; Finkelstein, S.E.; Feng, C.; Restifo, N.P.; Hwu, P. Dendritic cells strongly boost the antitumor activity of adoptively transferred T cells in vivo. Cancer Res. 2004, 64, 6783–6790. [Google Scholar] [CrossRef] [PubMed]
  80. Saberian, C.; Amaria, R.N.; Najjar, A.M.; Radvanyi, L.G.; Haymaker, C.L.; Forget, M.A.; Bassett, R.L.; Faria, S.C.; Glitza, I.C.; Alvarez, E.; et al. Randomized phase II trial of lymphodepletion plus adoptive cell transfer of tumor-infiltrating lymphocytes, with or without dendritic cell vaccination, in patients with metastatic melanoma. J. Immunother. Cancer 2021, 9, e002449. [Google Scholar] [CrossRef]
  81. Xie, N.; Shen, G.; Gao, W.; Huang, Z.; Huang, C.; Fu, L. Neoantigens: Promising targets for cancer therapy. Signal Transduct. Target. Ther. 2023, 8, 9. [Google Scholar] [CrossRef] [PubMed]
  82. Mauriello, A.; Cavalluzzo, B.; Manolio, C.; Ragone, C.; Luciano, A.; Barbieri, A.; Tornesello, M.L.; Buonaguro, F.M.; Tagliamonte, M.; Buonaguro, L. Long-term memory T cells as preventive anticancer immunity elicited by TuA-derived heteroclitic peptides. J. Transl. Med. 2021, 19, 526. [Google Scholar] [CrossRef] [PubMed]
  83. Wang, Z.J.; Liu, J.R.; Xie, J.R.; Yuan, X.X.; Wang, B.Y.; Shen, W.J.; Zhang, Y. Regulation of autophagy by non-coding RNAs in gastric cancer. Front. Oncol. 2022, 12, 947332. [Google Scholar] [CrossRef]
  84. Tang, W.W.; Zhu, S.M.; Liang, X.; Liu, C.; Song, L.J. The Crosstalk Between Long Non-Coding RNAs and Various Types of Death in Cancer Cells. Technol. Cancer Res. Treat. 2021, 20, 15330338211033044. [Google Scholar] [CrossRef]
  85. Lin, X.; Wang, S.; Sun, M.; Zhang, C.; Wei, C.; Yang, C.; Dou, R.; Liu, Q.; Xiong, B. miR-195-5p/NOTCH2-mediated EMT modulates IL-4 secretion in colorectal cancer to affect M2-like TAM polarization. J. Hematol. Oncol. 2019, 12, 20. [Google Scholar] [CrossRef] [PubMed]
  86. Wu, Z.; Ju, Q. Non-Coding RNAs Implicated in the Tumor Microenvironment of Colorectal Cancer: Roles, Mechanisms and Clinical Study. Front. Oncol. 2022, 12, 888276. [Google Scholar] [CrossRef]
  87. Jiang, R.Q.; Tang, J.W.; Chen, Y.; Deng, L.; Ji, J.; Xie, Y.; Wang, K.; Jia, W.; Chu, W.M.; Sun, B.C. The long noncoding RNA lnc-EGFR stimulates T-regulatory cells differentiation thus promoting hepatocellular carcinoma immune evasion. Nat. Commun. 2017, 8, 15129. [Google Scholar] [CrossRef]
  88. Zhou, Y.X.; Zhao, W.; Mao, L.W.; Wang, Y.L.; Xia, L.Q.; Cao, M.; Shen, J.; Chen, J. Long non-coding RNA NIFK-AS1 inhibits M2 polarization of macrophages in endometrial cancer through targeting miR-146a. Int. J. Biochem. Cell B 2018, 104, 25–33. [Google Scholar] [CrossRef]
  89. Pi, Y.N.; Qi, W.C.; Xia, B.R.; Lou, G.; Jin, W.L. Corrigendum: Long Non-Coding RNAs in the Tumor Immune Microenvironment: Biological Properties and Therapeutic Potential. Front. Immunol. 2022, 13, 891942. [Google Scholar] [CrossRef]
  90. Zhao, Q.; Pang, G.; Yang, L.; Chen, S.; Xu, R.; Shao, W. Long Noncoding RNAs Regulate the Inflammatory Responses of Macrophages. Cells 2021, 11, 5. [Google Scholar] [CrossRef]
  91. Zhou, W.; Xu, X.; Cen, Y.; Chen, J. The role of lncRNAs in the tumor microenvironment and immunotherapy of melanoma. Front. Immunol. 2022, 13, 1085766. [Google Scholar] [CrossRef]
  92. Wu, M.; Shang, X.; Sun, Y.; Wu, J.; Liu, G. Integrated analysis of lymphocyte infiltration-associated lncRNA for ovarian cancer via TCGA, GTEx and GEO datasets. PeerJ 2020, 8, e8961. [Google Scholar] [CrossRef] [PubMed]
  93. Zhang, Y.; Li, Z.; Chen, M.; Chen, H.; Zhong, Q.; Liang, L.; Li, B. lncRNA TCL6 correlates with immune cell infiltration and indicates worse survival in breast cancer. Breast Cancer 2020, 27, 573–585. [Google Scholar] [CrossRef]
  94. Hu, Q.; Ye, Y.; Chan, L.C.; Li, Y.; Liang, K.; Lin, A.; Egranov, S.D.; Zhang, Y.; Xia, W.; Gong, J.; et al. Oncogenic lncRNA downregulates cancer cell antigen presentation and intrinsic tumor suppression. Nat. Immunol. 2019, 20, 835–851. [Google Scholar] [CrossRef] [PubMed]
  95. Janeway, C.A., Jr.; Travers, P.; Walport, M. Using the immune response to attack tumors. In Immunobiology: The Immune System in Health and Disease, 5th ed.; Garland Science: New York, NY, USA, 2001. [Google Scholar]
  96. Gajewski, T.F.; Schreiber, H.; Fu, Y.X. Innate and adaptive immune cells in the tumor microenvironment. Nat. Immunol. 2013, 14, 1014–1022. [Google Scholar] [CrossRef]
  97. Melero, I.; Rouzaut, A.; Motz, G.T.; Coukos, G. T-Cell and NK-Cell Infiltration into Solid Tumors: A Key Limiting Factor for Efficacious Cancer Immunotherapy. Cancer Discov. 2014, 4, 522–526. [Google Scholar] [CrossRef] [PubMed]
  98. Bird, L. lncRNA NKILA: A killer regulator. Nat. Rev. Immunol. 2018, 18, 666–667. [Google Scholar] [CrossRef]
  99. Lavorgna, G.; Vago, R.; Sarmini, M.; Montorsi, F.; Salonia, A.; Bellone, M. Long non-coding RNAs as novel therapeutic targets in cancer. Pharmacol. Res. 2016, 110, 131–138. [Google Scholar] [CrossRef] [PubMed]
  100. Hadjicharalambous, M.R.; Lindsay, M.A. Long Non-Coding RNAs and the Innate Immune Response. Non-Coding RNA 2019, 5, 34. [Google Scholar] [CrossRef]
  101. Gasteiger, G.; D’Osualdo, A.; Schubert, D.A.; Weber, A.; Bruscia, E.M.; Hartl, D. Cellular Innate Immunity: An Old Game with New Players. J. Innate Immun. 2017, 9, 111–125. [Google Scholar] [CrossRef]
  102. Guttman, M.; Amit, I.; Garber, M.; French, C.; Lin, M.F.; Feldser, D.; Huarte, M.; Zuk, O.; Carey, B.W.; Cassady, J.P.; et al. Chromatin signature reveals over a thousand highly conserved large non-coding RNAs in mammals. Nature 2009, 458, 223–227. [Google Scholar] [CrossRef] [PubMed]
  103. Carpenter, S.; Fitzgerald, K.A. Transcription of inflammatory genes: Long noncoding RNA and beyond. J. Interferon Cytokine Res. 2015, 35, 79–88. [Google Scholar] [CrossRef]
  104. Shi, M.; Chen, X.; Ye, K.; Yao, Y.; Li, Y. Application potential of toll-like receptors in cancer immunotherapy: Systematic review. Medicine 2016, 95, e3951. [Google Scholar] [CrossRef] [PubMed]
  105. Beutler, B. Science review: Key inflammatory and stress pathways in critical illness—The central role of the Toll-like receptors. Crit Care 2003, 7, 39–46. [Google Scholar] [CrossRef]
  106. Jimenez-Dalmaroni, M.J.; Gerswhin, M.E.; Adamopoulos, I.E. The critical role of toll-like receptors–From microbial recognition to autoimmunity: A comprehensive review. Autoimmun Rev. 2016, 15, 1–8. [Google Scholar] [CrossRef]
  107. Donndorf, P.; Abubaker, S.; Vollmar, B.; Rimmbach, C.; Steinhoff, G.; Kaminski, A. Therapeutic progenitor cell application for tissue regeneration: Analyzing the impact of toll-like receptor signaling on c-kit+ cell migration following ischemia-reperfusion injury in vivo. Microvasc. Res. 2017, 112, 87–92. [Google Scholar] [CrossRef]
  108. Seki, E.; Park, E.; Fujimoto, J. Toll-like receptor signaling in liver regeneration, fibrosis and carcinogenesis. Hepatol. Res. 2011, 41, 597–610. [Google Scholar] [CrossRef]
  109. Murphy, M.B.; Medvedev, A.E. Long noncoding RNAs as regulators of Toll-like receptor signaling and innate immunity. J. Leukoc. Biol. 2016, 99, 839–850. [Google Scholar] [CrossRef] [PubMed]
  110. Zhang, Y.; Cao, X. Long noncoding RNAs in innate immunity. Cell Mol. Immunol. 2016, 13, 138–147. [Google Scholar] [CrossRef]
  111. Menon, M.P.; Hua, K.F. The Long Non-coding RNAs: Paramount Regulators of the NLRP3 Inflammasome. Front. Immunol. 2020, 11, 569524. [Google Scholar] [CrossRef]
  112. Imamura, K.; Akimitsu, N. Long Non-Coding RNAs Involved in Immune Responses. Front. Immunol. 2014, 5, 573. [Google Scholar] [CrossRef]
  113. Sugasawa, H.; Ichikura, T.; Kinoshita, M.; Ono, S.; Majima, T.; Tsujimoto, H.; Chochi, K.; Hiroi, S.; Takayama, E.; Saitoh, D.; et al. Gastric cancer cells exploit CD4+ cell-derived CCL5 for their growth and prevention of CD8+ cell-involved tumor elimination. Int. J. Cancer 2008, 122, 2535–2541. [Google Scholar] [CrossRef]
  114. Aldinucci, D.; Colombatti, A. The inflammatory chemokine CCL5 and cancer progression. Mediat. Inflamm. 2014, 2014, 292376. [Google Scholar] [CrossRef]
  115. Li, Z.; Chao, T.C.; Chang, K.Y.; Lin, N.; Patil, V.S.; Shimizu, C.; Head, S.R.; Burns, J.C.; Rana, T.M. The long noncoding RNA THRIL regulates TNFalpha expression through its interaction with hnRNPL. Proc. Natl. Acad. Sci. USA 2014, 111, 1002–1007. [Google Scholar] [CrossRef]
  116. van Horssen, R.; Ten Hagen, T.L.; Eggermont, A.M. TNF-alpha in cancer treatment: Molecular insights, antitumor effects, and clinical utility. Oncologist 2006, 11, 397–408. [Google Scholar] [CrossRef] [PubMed]
  117. Wang, X.; Lin, Y. Tumor necrosis factor and cancer, buddies or foes? Acta Pharmacol. Sin. 2008, 29, 1275–1288. [Google Scholar] [CrossRef] [PubMed]
  118. Cui, H.; Xie, N.; Tan, Z.; Banerjee, S.; Thannickal, V.J.; Abraham, E.; Liu, G. The human long noncoding RNA lnc-IL7R regulates the inflammatory response. Eur. J. Immunol. 2014, 44, 2085–2095. [Google Scholar] [CrossRef] [PubMed]
  119. Silva, H.C.; Garcao, F.; Coutinho, E.C.; De Oliveira, C.F.; Regateiro, F.J. Soluble VCAM-1 and E-selectin in breast cancer: Relationship with staging and with the detection of circulating cancer cells. Neoplasma 2006, 53, 538–543. [Google Scholar]
  120. Geng, H.; Tan, X.D. Functional diversity of long non-coding RNAs in immune regulation. Genes Dis. 2016, 3, 72–81. [Google Scholar] [CrossRef]
  121. Kondo, M. Lymphoid and myeloid lineage commitment in multipotent hematopoietic progenitors. Immunol. Rev. 2010, 238, 37–46. [Google Scholar] [CrossRef]
  122. Lai, A.Y.; Kondo, M. Asymmetrical lymphoid and myeloid lineage commitment in multipotent hematopoietic progenitors. J. Exp. Med. 2006, 203, 1867–1873. [Google Scholar] [CrossRef] [PubMed]
  123. Petri, A.; Dybkaer, K.; Bogsted, M.; Thrue, C.A.; Hagedorn, P.H.; Schmitz, A.; Bodker, J.S.; Johnsen, H.E.; Kauppinen, S. Long Noncoding RNA Expression during Human B-Cell Development. PLoS ONE 2015, 10, e0138236. [Google Scholar] [CrossRef] [PubMed]
  124. Uribe-Querol, E.; Rosales, C. Neutrophils in Cancer: Two Sides of the Same Coin. J. Immunol. Res. 2015, 2015, 983698. [Google Scholar] [CrossRef]
  125. Zhang, X.; Lian, Z.; Padden, C.; Gerstein, M.B.; Rozowsky, J.; Snyder, M.; Gingeras, T.R.; Kapranov, P.; Weissman, S.M.; Newburger, P.E. A myelopoiesis-associated regulatory intergenic noncoding RNA transcript within the human HOXA cluster. Blood 2009, 113, 2526–2534. [Google Scholar] [CrossRef]
  126. Gregory, A.D.; Houghton, A.M. Tumor-Associated Neutrophils: New Targets for Cancer Therapy. Cancer Res. 2011, 71, 2411–2416. [Google Scholar] [CrossRef]
  127. Dhodapkar, M.V.; Dhodapkar, K.M.; Palucka, A.K. Interactions of tumor cells with dendritic cells: Balancing immunity and tolerance. Cell Death Differ. 2008, 15, 39–50. [Google Scholar] [CrossRef] [PubMed]
  128. Satpathy, A.T.; Chang, H.Y. Long Noncoding RNA in Hematopoiesis and Immunity. Immunity 2015, 42, 792–804. [Google Scholar] [CrossRef]
  129. Laouar, Y.; Welte, T.; Fu, X.Y.; Flavell, R.A. STAT3 is required for FIM-dependent dendritic cell differentiation. Immunity 2003, 19, 903–912. [Google Scholar] [CrossRef]
  130. Hu, G.Q.; Tang, Q.S.; Sharma, S.; Yu, F.; Escobar, T.M.; Muljo, S.A.; Zhu, J.F.; Zhao, K.J. Expression and regulation of intergenic long noncoding RNAs during T cell development and differentiation. Nat. Immunol. 2013, 14, 1190–1198. [Google Scholar] [CrossRef]
  131. Mourtada-Maarabouni, M.; Hedge, V.L.; Kirkham, L.; Farzaneh, F.; Williams, G.T. Growth arrest in human T-cells is controlled by the non-coding RNA growth-arrest-specific transcript 5 (GAS5). J. Cell Sci. 2008, 121, 939–946. [Google Scholar] [CrossRef]
  132. Gomez, J.A.; Wapinski, O.L.; Yang, Y.W.; Bureau, J.F.; Gopinath, S.; Monack, D.M.; Chang, H.Y.; Brahic, M.; Kirkegaard, K. The NeST Long ncRNA Controls Microbial Susceptibility and Epigenetic Activation of the Interferon-gamma Locus. Cell 2013, 152, 743–754. [Google Scholar] [CrossRef] [PubMed]
  133. Gaikwad, S.; Agrawal, M.Y.; Kaushik, I.; Ramachandran, S.; Srivastava, S.K. Immune checkpoint proteins: Signaling mechanisms and molecular interactions in cancer immunotherapy. Semin. Cancer Biol. 2022, 86, 137–150. [Google Scholar] [CrossRef]
  134. He, X.; Xu, C. Immune checkpoint signaling and cancer immunotherapy. Cell Res. 2020, 30, 660–669. [Google Scholar] [CrossRef] [PubMed]
  135. Gatalica, Z.; Snyder, C.; Maney, T.; Ghazalpour, A.; Holterman, D.A.; Xiao, N.Q.; Overberg, P.; Rose, I.; Basu, G.D.; Vranic, S.; et al. Programmed Cell Death 1 (PD-1) and Its Ligand (PD-L1) in Common Cancers and Their Correlation with Molecular Cancer Type. Cancer Epidem. Biomar. 2014, 23, 2965–2970. [Google Scholar] [CrossRef]
  136. Zhou, H.; Fu, X.Y.; Li, Q.; Niu, T. Safety and Efficacy of Anti-PD-1 Monoclonal Antibodies in Patients with Relapsed or Refractory Lymphoma: A Meta-Analysis of Prospective Clinic Trails. Front. Pharmacol. 2019, 10, 387. [Google Scholar] [CrossRef] [PubMed]
  137. Wu, M.; Huang, Q.; Xie, Y.; Wu, X.; Ma, H.; Zhang, Y.; Xia, Y. Improvement of the anticancer efficacy of PD-1/PD-L1 blockade via combination therapy and PD-L1 regulation. J. Hematol. Oncol. 2022, 15, 24. [Google Scholar] [CrossRef]
  138. Qu, S.; Jiao, Z.; Lu, G.; Yao, B.; Wang, T.; Rong, W.; Xu, J.; Fan, T.; Sun, X.; Yang, R.; et al. PD-L1 lncRNA splice isoform promotes lung adenocarcinoma progression via enhancing c-Myc activity. Genome Biol. 2021, 22, 104. [Google Scholar] [CrossRef]
  139. Jiang, W.; Pan, S.; Chen, X.; Wang, Z.W.; Zhu, X. The role of lncRNAs and circRNAs in the PD-1/PD-L1 pathway in cancer immunotherapy. Mol. Cancer 2021, 20, 116. [Google Scholar] [CrossRef]
  140. Peng, L.; Chen, Y.; Ou, Q.; Wang, X.; Tang, N. LncRNA MIAT correlates with immune infiltrates and drug reactions in hepatocellular carcinoma. Int. Immunopharmacol. 2020, 89, 107071. [Google Scholar] [CrossRef]
  141. Li, G.; Kryczek, I.; Nam, J.; Li, X.; Li, S.; Li, J.; Wei, S.; Grove, S.; Vatan, L.; Zhou, J.; et al. LIMIT is an immunogenic lncRNA in cancer immunity and immunotherapy. Nat. Cell Biol. 2021, 23, 526–537. [Google Scholar] [CrossRef]
  142. Fathi Dizaji, B. Strategies to target long non-coding RNAs in cancer treatment: Progress and challenges. Egypt. J. Med. Hum. Genet. 2020, 21, 41. [Google Scholar] [CrossRef]
  143. Jin, Y.; Wang, J.; Li, H.; Gao, S.; Shi, R.; Yang, D.; Wang, X.; Wang, X.; Zhu, L.; Wang, X.; et al. Extracellular Vesicles Secreted by Human Adipose-derived Stem Cells (hASCs) Improve Survival Rate of Rats with Acute Liver Failure by Releasing lncRNA H19. EBioMedicine 2018, 34, 231–242. [Google Scholar] [CrossRef] [PubMed]
  144. Wu, Q.; Wang, J.; Tan, W.L.W.; Jiang, Y.; Wang, S.; Li, Q.; Yu, X.; Tan, J.; Liu, S.; Zhang, P.; et al. Extracellular vesicles from human embryonic stem cell-derived cardiovascular progenitor cells promote cardiac infarct healing through reducing cardiomyocyte death and promoting angiogenesis. Cell Death Dis. 2020, 11, 354. [Google Scholar] [CrossRef] [PubMed]
  145. Yang, Y.; Wang, Y.; Wei, S.; Zhou, C.; Yu, J.; Wang, G.; Wang, W.; Zhao, L. Extracellular vesicles isolated by size-exclusion chromatography present suitability for RNomics analysis in plasma. J. Transl. Med. 2021, 19, 104. [Google Scholar] [CrossRef]
  146. Pan, X.; Li, C.; Feng, J. The role of LncRNAs in tumor immunotherapy. Cancer Cell Int. 2023, 23, 30. [Google Scholar] [CrossRef]
  147. Han, S.Q.; Qi, Y.Q.; Luo, Y.M.; Chen, X.P.; Liang, H.F. Exosomal Long Non-Coding RNA: Interaction between Cancer Cells and Non-Cancer Cells. Front. Oncol. 2021, 10, 617837. [Google Scholar] [CrossRef]
  148. Shu, Y.; Pi, F.M.; Sharma, A.; Rajabi, M.; Haque, F.; Shu, D.; Leggas, M.; Evers, B.M.; Guo, P.X. Stable RNA nanoparticles as potential new generation drugs for cancer therapy. Adv. Drug Deliv. Rev. 2014, 66, 74–89. [Google Scholar] [CrossRef]
  149. Chen, Y.; Li, Z.; Chen, X.; Zhang, S. Long non-coding RNAs: From disease code to drug role. Acta Pharm. Sin. B 2021, 11, 340–354. [Google Scholar] [CrossRef]
  150. Taléns-Visconti, R.; Díez-Sales, O.; de Julián-Ortiz, J.V.; Nácher, A. Nanoliposomes in Cancer Therapy: Marketed Products and Current Clinical Trials. Int. J. Mol. Sci. 2022, 23, 4249. [Google Scholar] [CrossRef]
  151. Liu, P.; Chen, G.; Zhang, J. A Review of Liposomes as a Drug Delivery System: Current Status of Approved Products, Regulatory Environments, and Future Perspectives. Molecules 2022, 27, 1372. [Google Scholar] [CrossRef]
  152. Díaz, M.R.; Vivas-Mejia, P.E. Nanoparticles as Drug Delivery Systems in Cancer Medicine: Emphasis on RNAi-Containing Nanoliposomes. Pharmaceuticals 2013, 6, 1361–1380. [Google Scholar] [CrossRef] [PubMed]
  153. Renganathan, A.; Felley-Bosco, E. Long Noncoding RNAs in Cancer and Therapeutic Potential. Adv. Exp. Med. Biol. 2017, 1008, 199–222. [Google Scholar] [CrossRef] [PubMed]
Figure 1. Fundamental mechanisms involved in categorizing lncRNAs. (A) lncRNAs function as guides directing chromatin-modifying complexes to precise genomic sites to regulate gene expression. (B) lncRNAs serve as flexible scaffolds facilitating the temporary assembly of cofactors. (C) lncRNAs act as signals by functioning as indicators or markers for distinct cellular processes. (D) lncRNAs function as decoys, binding to microRNAs or transcription factors, diverting them from their intended targets, and influencing both transcription and translation processes.
Figure 1. Fundamental mechanisms involved in categorizing lncRNAs. (A) lncRNAs function as guides directing chromatin-modifying complexes to precise genomic sites to regulate gene expression. (B) lncRNAs serve as flexible scaffolds facilitating the temporary assembly of cofactors. (C) lncRNAs act as signals by functioning as indicators or markers for distinct cellular processes. (D) lncRNAs function as decoys, binding to microRNAs or transcription factors, diverting them from their intended targets, and influencing both transcription and translation processes.
Ncrna 09 00070 g001
Figure 2. Long non-coding RNA in the tumor microenvironment. (A) Tumor cells produce different types of molecules, including cytokines, e.g., tumor necrosis factor α (TNF-α), interferon-γ (IFN- γ), vascular endothelial growth factor (VEGF), interleukin 6 (IL-6), interleukin 8 (IL-8), chemokines (e.g., chemokine ligand 5 and stromal cell-derived factors 12 and 13), the extracellular matrix (ECM), and lncRNAs, which promote angiogenesis and changes in the phenotype of organ cells and dysregulated cell proliferation. (B) Healthy adjacent cells receive and recognize the cell signaling of lncRNA in cytoplasm and nucleus. Additionally, the cellular immune system releases soluble mediators. Taken together, these phenomena induce changes and transformation to tumor phenotype cells. (C) The analysis of systemic circulation helps identify specific types of lncRNA that can be used as biomarkers and predictive molecules for cancer status. (D) Moreover, some lncRNA could be related to metastasis and tumor inducers. (E) It is possible that naturally circulating lncRNA produced by the immune system, stem cells, or another source can participate in tumor control. (F) Thus, the exogenous administration of specific lncRNA mimics or ncRNA targeting lncRNAs can be used as a strategy to control angiogenesis, cell proliferation, inhibition of cell differentiation, regulation of ECM production, and regulation of immune cells.
Figure 2. Long non-coding RNA in the tumor microenvironment. (A) Tumor cells produce different types of molecules, including cytokines, e.g., tumor necrosis factor α (TNF-α), interferon-γ (IFN- γ), vascular endothelial growth factor (VEGF), interleukin 6 (IL-6), interleukin 8 (IL-8), chemokines (e.g., chemokine ligand 5 and stromal cell-derived factors 12 and 13), the extracellular matrix (ECM), and lncRNAs, which promote angiogenesis and changes in the phenotype of organ cells and dysregulated cell proliferation. (B) Healthy adjacent cells receive and recognize the cell signaling of lncRNA in cytoplasm and nucleus. Additionally, the cellular immune system releases soluble mediators. Taken together, these phenomena induce changes and transformation to tumor phenotype cells. (C) The analysis of systemic circulation helps identify specific types of lncRNA that can be used as biomarkers and predictive molecules for cancer status. (D) Moreover, some lncRNA could be related to metastasis and tumor inducers. (E) It is possible that naturally circulating lncRNA produced by the immune system, stem cells, or another source can participate in tumor control. (F) Thus, the exogenous administration of specific lncRNA mimics or ncRNA targeting lncRNAs can be used as a strategy to control angiogenesis, cell proliferation, inhibition of cell differentiation, regulation of ECM production, and regulation of immune cells.
Ncrna 09 00070 g002
Figure 3. Delivery methods and challenges of lncRNA-based therapies. (A) lncRNAs are transported to distal organs by systemic circulation into exosomes and microvesicles and are bound to proteins. These lncRNAs could participate in promoting tumors in other organs or as a mechanism to control the tumor microenvironment. (B) The major challenge of using lncRNA therapies is the need for a perfectly designed formulation of carriers or strategies for the delivery of lncRNA. Whatever the strategy (e.g., lentiviral vectors, nanoliposomes, aptamers), it must maintain the stability of the lncRNA and not produce immune reactivity. Moreover, the synthesis and administration of antibodies against lncRNA related to tumor development must not recognize proteins or molecules from the patient. (C) Regarding administration, the correct route needs to be determined, and it is necessary to determine the standardized doses. (D) Formulation and administration are essential to the successfully delivery of lncRNA into the cells at the cytoplasmic, mitochondrial, or nuclear level.
Figure 3. Delivery methods and challenges of lncRNA-based therapies. (A) lncRNAs are transported to distal organs by systemic circulation into exosomes and microvesicles and are bound to proteins. These lncRNAs could participate in promoting tumors in other organs or as a mechanism to control the tumor microenvironment. (B) The major challenge of using lncRNA therapies is the need for a perfectly designed formulation of carriers or strategies for the delivery of lncRNA. Whatever the strategy (e.g., lentiviral vectors, nanoliposomes, aptamers), it must maintain the stability of the lncRNA and not produce immune reactivity. Moreover, the synthesis and administration of antibodies against lncRNA related to tumor development must not recognize proteins or molecules from the patient. (C) Regarding administration, the correct route needs to be determined, and it is necessary to determine the standardized doses. (D) Formulation and administration are essential to the successfully delivery of lncRNA into the cells at the cytoplasmic, mitochondrial, or nuclear level.
Ncrna 09 00070 g003
Table 1. lncRNA and immune regulation.
Table 1. lncRNA and immune regulation.
lncRNACell Target and/or EffectRegulation or Cellular PathwayRef.
lnc-EGFR, lncRNA SNHG1, Flicr, and FlatrTregsCorrect function and differentiation[86]
lnc-EGFRTreg and cytotoxic T lymphocytesStimulation of Treg differentiation, inhibition of cytotoxic T lymphocyte activity[87]
NIFK-AS1 lncRNAMacrophages and endometrial cellsInhibition of M2-like polarization, proliferation, migration, and invasion of endometrial cancer[64]
MALAT1PD-L1 Upregulation of PD-L1 through miR-195 and miR-200a-3[45]
LIMITStimulation of MHC-I and MHC-II expressionPromotes response of T cell-mediated tumor immune response[141]
A complex composed of lncRNA-Cox2 with hnRNP-A/B and hnRNP-A2/B1 Macrophages and repression of CCL5 Recruitment of T cells, eosinophils, neutrophils, and basophils[112]
lncRNA linc1992/THRIL Monocytes Regulation of TNF-α[115]
HOTAIRM1NB4 promyelocytic leukemia cell line and neutrophils Granulocytic differentiation [125]
lnc-DCDendritic cells STAT3 phosphorylation; deficient expression of CD80/86, HLA-DR, and CD40, impairment of antigen presentation, and decreased IL-12 production [129]
lincrR-Ccr2-5AS,TH2 cellsCell differentiation and migration[130]
GAS5TH17Apoptosis and cell-cycle progression [131]
NeSTCD8+ cells (WDR5, histone component)Production of IFN[132]
PD-L1 lncRNA splice isoform c-Myc Proliferation and invasion [138]
lnc-OC1Enhances PD-L1 expressionApoptosis [139]
lnc-IL7RMonocytes Regulation of E-selectin and VCAM-1 via H3K27me3 [118]
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

Martinez-Castillo, M.; M. Elsayed, A.; López-Berestein, G.; Amero, P.; Rodríguez-Aguayo, C. An Overview of the Immune Modulatory Properties of Long Non-Coding RNAs and Their Potential Use as Therapeutic Targets in Cancer. Non-Coding RNA 2023, 9, 70. https://doi.org/10.3390/ncrna9060070

AMA Style

Martinez-Castillo M, M. Elsayed A, López-Berestein G, Amero P, Rodríguez-Aguayo C. An Overview of the Immune Modulatory Properties of Long Non-Coding RNAs and Their Potential Use as Therapeutic Targets in Cancer. Non-Coding RNA. 2023; 9(6):70. https://doi.org/10.3390/ncrna9060070

Chicago/Turabian Style

Martinez-Castillo, Moises, Abdelrahman M. Elsayed, Gabriel López-Berestein, Paola Amero, and Cristian Rodríguez-Aguayo. 2023. "An Overview of the Immune Modulatory Properties of Long Non-Coding RNAs and Their Potential Use as Therapeutic Targets in Cancer" Non-Coding RNA 9, no. 6: 70. https://doi.org/10.3390/ncrna9060070

APA Style

Martinez-Castillo, M., M. Elsayed, A., López-Berestein, G., Amero, P., & Rodríguez-Aguayo, C. (2023). An Overview of the Immune Modulatory Properties of Long Non-Coding RNAs and Their Potential Use as Therapeutic Targets in Cancer. Non-Coding RNA, 9(6), 70. https://doi.org/10.3390/ncrna9060070

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