Abstract
Non-coding RNAs (ncRNAs) are crucial molecules that do not encode proteins but play roles in regulating various biological processes. Recent research highlights that ncRNAs not only control gene expression within cells but also facilitate intercellular communication via exosomes and other carriers. This function is vital in the tumor microenvironment (TME). Our review covers the structure and functions of different ncRNAs, such as microRNAs (miRNAs), long non-coding RNAs (lncRNAs), and circular RNAs (circRNAs). We examine how these ncRNAs influence tumor initiation and progression. Additionally, we explore their role in promoting tumor growth or immune evasion by modulating the TME. The potential of using these ncRNAs as therapeutic targets or biomarkers for clinical use is also discussed. As our understanding of ncRNAs grows, the development of new therapies based on ncRNAs is anticipated to offer improved treatment options for cancer patients.
Supplementary Information
The online version contains supplementary material available at 10.1186/s12967-025-06629-6.
Keywords: NcRNAs, MiRNAs, LncRNAs, CircRNAs, TME, Cancer therapies
Introduction
Cancer therapies face numerous challenges, with the TME significantly impacting treatment efficacy. The TME includes diverse cell types, extracellular matrix components, and biomolecules that support tumor growth and affect its response to therapies. Even if initial treatments are effective, the TME can drive tumor recurrence and drug resistance, severely limiting outcomes. Hypoxic conditions within the TME, for example, can increase the expression of angiogenic factors such as vascular endothelial growth factor (VEGF), promoting new blood vessel formation and further supporting tumor growth [1–3]. Thus, a deep understanding of the TME’s role in cancer progression and the discovery of biomarkers that accurately reflect disease status and predict therapeutic responses are crucial for advancing new treatment approaches [4, 5].
The physiological and pathological roles of ncRNAs in various diseases, particularly cancer, are gaining increased attention. These ncRNAs, including miRNAs, lncRNAs and circRNAs, are crucial for regulating cell growth, differentiation, and tumorigenesis [6–8]. For instance, miR-124 can enhance the efficacy of ovarian cancer immunotherapies by inhibiting Treg cell function through targeting MCT1 [9], while lncRNA SNHG16 promotes breast cancer growth by modulating miR-218-5p [10]. Exosomes, serving as vital carriers of ncRNAs, play a role in cellular communication and significantly influence the TME [11, 12]. In gliomas, exosomes enriched with miR-3184-3p from cerebrospinal fluid not only boost glioma progression but also induce M2-like macrophage polarization, enhancing tumor aggression [13].
Compared to other biomolecules such as proteins and DNA, ncRNAs exhibit distinct advantages. Traditional protein biomarkers often face challenges due to their complexity and detection difficulties, and they may lose specificity due to post-translational modifications [14]. In contrast, ncRNAs, owing to their relatively small molecular size and stability, are more easily detected by high-throughput sequencing technologies and demonstrate higher specificity and sensitivity [15]. Additionally, while genomic DNA changes provide critical information about genetic variations, they often fail to fully explain epigenetic regulatory mechanisms and their impact on disease [16]. On the other hand, ncRNAs directly participate in gene expression regulation, providing a more precise reflection of cellular states and disease progression [17].
In addition to directly influencing tumor progression, ncRNAs hold significant promise for cancer diagnosis and prognosis. Risk models based on exosome-associated lncRNAs effectively predict survival outcomes in breast cancer [18]. These molecules also show potential as therapeutic targets, particularly in addressing chemotherapies resistance. For instance, in triple-negative breast cancer (TNBC), circulating circPS-MA1 activates the miR-637/Akt1/β-catenin (cyclin D1) axis, promoting tumorigenesis, metastasis, and migration [19]. Moreover, ncRNAs participate in alternative splicing, impacting gene expression patterns and cancer biology [20–22]. Notably, ncRNAs are not confined to a single cancer type; they are prevalent across various malignancies, including hepatocellular carcinoma, ovarian cancer, and oral squamous cell carcinoma (OSCC), each with distinct mechanisms of action [23–25].
As our understanding of ncRNAs and their interactions with the TME grows, numerous studies are exploring the application of this knowledge in developing new cancer therapies. Researchers aim to inhibit or reverse tumor progression by modulating ncRNA levels or modifying their transport pathways [26–29]. Although challenges like delivery efficiency, specificity, and toxicity persist [30–32], ncRNA-based treatments remain a promising avenue in cancer research. Thus, ncRNAs and related mechanisms offer fresh insights into cancer treatment and pave the way for personalized medicine [33–36]. This review examines the structural and functional features of ncRNAs, their roles in the TME, and highlights recent advancements in cancer therapies.
Structural and functional regulatory features of different NcRNAs
MiRNAs
MiRNAs, approximately 22 nucleotides long, are single-stranded ncRNA molecules. They regulate gene expression by binding to specific sequences in the 3’ untranslated region or coding region of target mRNAs. MiRNAs control gene expression at the post-transcriptional level, influencing processes such as cell proliferation, differentiation, apoptosis, and metabolism [37]. Gaining insight into miRNA functions and their intricate regulatory networks is crucial for developing novel cancer therapies. Below, we detail the structural characteristics of miRNAs and how they functionally regulate gene expression.
The process of miRNA biosynthesis involves several key steps: generation of primary miRNA (pri-miRNA), processing of precursor miRNA (pre-miRNA), and the functional realization of mature miRNA (Fig. 1). Pri-miRNAs are long RNA molecules transcribed from DNA by RNA polymerase II. These transcripts contain one or more imperfect hairpin structures crucial for further processing [38]. In the nucleus, Drosha, an RNase III enzyme, along with its cofactor DGCR8, forms a complex that recognizes and cleaves these hairpins, producing pre-miRNAs about 60–90 nucleotides long with a distinctive 2-nucleotide 3’ overhang [39, 40]. Pre-miRNAs are then exported to the cytoplasm by the XPO5 protein. In the cytoplasm, Dicer, another RNase III enzyme, processes pre-miRNAs into double-stranded RNA molecules around 19–22 nucleotides long [41, 42]. One strand, typically the 5p or 3p arm, is chosen as the guide strand and associates with an Argonaute protein to form the RNA-induced silencing complex (RISC). The other strand, known as the passenger strand, is often degraded [43].
Fig. 1.
MiRNAs undergo a complex synthesis process. They are also subject to intricate processing steps. Ultimately, they are either degraded or mature into functional miRNAs. These mature miRNAs carry out diverse biological functions through various mechanisms. The image was drawn via Figdraw with permission
The resultant RISC complex uses the mature miRNA as a guide to recognize and bind to target mRNAs [44]. This binding can lead to degradation, destabilization, or translational repression of the target mRNA, based on the level of complementarity between the miRNA and its target, along with other influencing factors. Consequently, miRNAs can precisely control protein synthesis post-transcriptionally, impacting gene expression regulation in numerous biological processes such as development, cell differentiation, and disease conditions [45].
The function of miRNAs primarily occurs through base pairing between their seed regions, typically the 2nd to 8th nucleotides, and the target mRNA. This interaction alone can lead to measurable inhibition of the target. Even with a short seed region, pairing can still be effective if there is an adenine opposite the first position of the miRNA [46]. Moreover, miRNAs can simultaneously affect multiple mRNA targets, and there is potential for synergistic interactions among different miRNAs, adding to the complexity of miRNA networks [47]. Additionally, some miRNAs can regulate targets in unconventional manners, such as by relying solely on 3’ complementary pairing [48].
The biogenesis of miRNAs is strictly controlled, with each step—from transcription to processing and translocation—being influenced by numerous factors. Specific sequence features, like bulges and mismatches in miRNA precursors, can boost Dicer processing efficiency [49]. Various RNA-binding proteins (RBPs) play roles in regulating the structure and stability of miRNA precursors [50]. Notably, miRNAs do not solely function in the cytoplasm; they can also be found in the nucleus or other organelles, performing additional regulatory functions, such as transcriptional regulation [51]. Additionally, research has uncovered a process known as target RNA-directed miRNA degradation (TDMD). In this phenomenon, highly complementary target RNAs can recruit the ZSWIM8 E3 ubiquitin ligase via the AGO2 complex, resulting in the ubiquitination and proteasomal degradation of AGO2, and ultimately leading to miRNA destruction [52].
LncRNAs
LncRNAs are RNA molecules exceeding 200 nucleotides in length. Despite not coding for proteins, they carry out numerous essential biological functions within cells [53]. This section will explore the structural characteristics of lncRNAs and their roles in cellular processes (Fig. 2).
Fig. 2.
LncRNAs and circRNAs have distinct synthesis and processing pathways. Once mature, these RNAs execute various biological functions via different mechanisms. The image was drawn via Figdraw with permission
The structural features of lncRNAs underpin their functional diversity. At the secondary structure level, lncRNAs can form complex conformations like hairpin, stem-loop structures, and pseudoknots via base pairing. These structures enhance the morphological diversity of lncRNAs and contain conserved short modules crucial for their specific functions. For instance, SINEUP lncRNAs feature conserved short structural modules that boost translational enhancement [54]. Such modules show dynamic changes between the nucleus and cytoplasm and can interact with various proteins and RNA molecules, forming a complex regulatory network. An example is the interaction between TERRA lncRNAs and LSD1, where the TERRA-LSD1 complex increases Rad51AP1 enrichment at telomeres through phase separation (the process by which certain proteins and RNAs spontaneously form distinct, membrane-less compartments within cells to regulate biochemical activities and cellular functions), boosting R-loop formation and supporting telomere maintenance in the ALT (Alternative Lengthening of Telomeres) pathway [55]. This phase separation mechanism offers new insights into how lncRNAs regulate gene expression through physical aggregation.
The structural complexity of lncRNAs is evident in their ability to form high-level structures across multiple levels. For instance, studies on the TubAR lncRNA have demonstrated its capacity to promote microtubule assembly by binding to specific proteins. TubAR lncRNAs interact with α- and β-microtubule protein heterodimers via specific secondary structures, stabilizing microtubules and supporting cerebellar myelination and neuronal activity [56]. Moreover, NAP-seq technology has identified a variety of novel structured ncRNAs, such as stably expressed linear intronic RNAs (sliRNAs) and misRNAs located within miRNA spacer regions. These napRNAs exhibit dynamic changes in response to different stimuli and stages of differentiation [57]. Consequently, the structural diversity of lncRNAs underpins their broad spectrum of biological functions.
LncRNAs have diverse roles in gene expression regulation. They influence transcriptional regulation, epigenetic modification, microRNA sponging, and splicing regulation [58]. In transcriptional regulation, lncRNAs can alter chromatin structure by binding to DNA, affecting gene expression. An example is LINC00673, which changes chromatin accessibility in breast cancer cells, impacting gene expression [59]. Epigenetically, lncRNAs participate in histone modification and DNA methylation [60], crucial for cancer development. Some lncRNAs act as miRNA sponges, reducing the suppression of target mRNAs. For instance, NEAT1 lncRNA serves as a sponge for miR-377-3p in lung cancer, boosting the expression of the oncogene E2F3 [61]. LncRNAs also play a role in the selective splicing of pre-mRNAs. MALAT1, for example, influences the splicing of SRSF1 targets, increasing anti-apoptotic splicing variants and activating the mTOR pathway through the regulation of S6K1 splicing, contributing to hepatocellular carcinoma progression [62].
CircRNAs
CircRNAs are ncRNAs characterized by their covalently closed loop structures. Initially considered as splicing errors or by-products of RNA transcription, circRNAs have gained attention due to advancements in bioinformatics and high-throughput sequencing technologies. Recent studies have revealed that circRNAs display distinct spatiotemporal and spatial expression patterns within cells. They are linked to numerous biological processes, such as tumorigenesis and immune response [63, 64]. Unlike linear mRNAs, circRNAs do not have a 5’ cap or a 3’ poly(A) tail, making them more resistant to exonuclease degradation [65]. CircRNAs primarily arise from the reverse splicing of pre-mRNAs, where the 3’ end of one exon connects to the 5’ end of another, forming a closed loop. This process can produce various circRNA types, such as exon-only circRNAs (ecoCIRNAs), exon-intron circRNAs (EIciRNAs), and intron-only circRNAs (ciRNAs) [66, 67].
The biogenesis of circRNAs is regulated by both cis-acting elements, such as reverse transcription complementary sequences, and transacting factors, including RBPs and spliceosomal factors [68]. The presence or absence of these regulatory factors, along with their spatial distribution and temporal expression patterns, influences the likelihood of reverse splicing events, impacting the production of specific circRNAs [69]. For instance, some circRNAs require specific RBPs for their formation, whereas others depend on particular repeat sequences within introns [70].
These structural features enable circRNAs to perform multifarious functions. They can act as miRNA sponges, adsorbing miRNA molecules to release target mRNAs and upregulate their expression. CircRNAs also interact with proteins to form complexes, influencing transcription or translation processes. Some circRNAs are capable of being translated into functional peptide chains or proteins [71, 72]. Research indicates that this translation can occur in an internal ribosome entry site (IRES)-dependent or independent manner [73]. For instance, circ-SHPRH translates into the SHPRH-146aa protein via the IRES mechanism, which helps inhibit tumor growth [74]. Additionally, certain circRNAs can modify gene expression by directly interacting with the genomic DNA of their host genes [75].
Dysfunction of circRNAs is widely reported in cancer and plays a significant role in the development of various malignant tumors [76]. For instance, in colorectal cancer, circRNA_0000392 acts as a sponge for miR-193a-5p, leading to increased PIK3R3 expression and promoting tumor progression [77]. Additionally, circRNAs are involved in regulating the TME. An example is hsa_circ_0136666, which promotes gastric cancer progression and immune evasion by modulating the miR-375/PRKDC axis and PD-L1 phosphorylation levels [78]. These findings indicate that circRNAs perform crucial biological functions in cells and may serve as promising diagnostic markers and therapeutic targets [79].
In summary, circRNAs are crucial for gene expression regulation due to their unique ring structure and specific expression patterns (Fig. 2). As scientific research progresses, we will gain a deeper understanding of circRNAs. This will help uncover more details about their mechanisms and promote the development of novel circRNA-based therapies. These advancements are expected to transform the field of precision medicine.
TME
Compositions and functions of the TME
The TME is a complex ecosystem (Fig. 3) comprising multiple cell types, the extracellular matrix (ECM), blood vessels, and various soluble factors that collectively support tumorigenesis, progression, and metastasis [80]. Within the TME, tumor cells interact with immune cells, fibroblasts, endothelial cells, and stromal cells, forming a dynamic and highly heterogeneous network [81]. Tumor-associated macrophages (TAMs) foster tumor growth, angiogenesis, and immunosuppression. Regulatory T cells (Tregs) also contribute to tumor immune evasion by suppressing the function of effector T cells [82]. Moreover, the ECM in the TME not only provides physical support for tumor cells but also influences their behavior through the release of growth factors and cytokines [83].
Fig. 3.
Multiple components such as immune cells, cytokines, extracellular matrix, and peripheral vasculature co-regulate the TME. The image was drawn via Figdraw with permission
Immune cells in the TME play a crucial role in tumor development. NK cells and CTLs can recognize and kill tumor cells, thereby inhibiting tumor growth [84]. Conversely, TAMs and MDSCs suppress anti-tumor immune responses by secreting immunosuppressive factors, which promotes tumor progression [85]. Additionally, fibroblasts, particularly CAFs, enhance tumor cell proliferation and migration through the secretion of extracellular matrix components and growth factors [86]. These intricate cellular interactions not only influence tumor biology but also significantly impact the therapeutic response of tumors [87].
Characterization of the TME
TAMs can be categorized into M1 and M2 types. M1 TAMs exhibit pro-inflammatory and anti-tumorigenic properties, while M2 TAMs display immunosuppressive and pro-tumorigenic effects [88, 89]. Moreover, metabolic stress within the TME results in metabolic reprogramming of both tumor and immune cells, which further increases TME heterogeneity [90]. Such metabolic changes impact tumor cell survival and proliferation and also facilitate tumor immune evasion by altering immune cell function [91].
A notable feature of TME is its resistance to cancer therapies. Tumor cells and immunosuppressive cells compete for essential nutrients and metabolites, thereby hindering the function of immune effector cells and diminishing the effectiveness of immunotherapies [92]. Hypoxic areas within the TME also cause adaptive changes in both tumor and immune cells, further boosting tumor resistance [93]. For instance, hypoxia prompts tumor cells to increase PD-L1 expression, which can suppress T cell activation and function [94]. These characteristics underscore the importance of therapeutic approaches that target the TME to enhance treatment efficacy through its remodeling [95].
Therapeutic strategies for the TME
Therapeutic strategies aimed at the TME focus on reshaping it to restore or boost anti-tumor immune responses. Recent in-depth studies of the TME have led to the identification of numerous biomarkers. These biomarkers can predict patient responses to treatments and serve as potential therapeutic targets [96]. For instance, circulating tumor DNA (ctDNA) is useful for monitoring the mutational burden and treatment effectiveness of tumors, aiding in the selection of personalized therapies [97]. Additionally, ncRNAs, including miRNAs, lncRNAs and circRNAs, play a significant role in regulating the TME. They can also serve as novel biomarkers and therapeutic targets [98].
Nanomedicine, as an emerging therapeutic tool, enhances the efficacy of immunotherapies by improving the TME through metabolic reprogramming [99, 100]. It allows targeted delivery of drugs to the tumor site, where they can modulate the metabolic state of both tumor and immune cells, helping to reverse the immunosuppressive microenvironment [101, 102]. Some nanoparticles achieve this by inhibiting the glycolytic pathway—a series of enzymatic reactions in which glucose is converted into lactate to produce energy (ATP)—in tumor cells, thereby reducing lactate production and subsequently decreasing immunosuppression. Inhibiting the glycolytic pathway, which is abnormally activated in cancer cells and supports their rapid proliferation, compromises cancer cell metabolism, weakens their survival advantage, and enhances anti-tumor immune responses by lowering the levels of lactate that inhibit immune cell function. As a result, these nanoparticles, which are specifically designed to target and disrupt the metabolic vulnerabilities of tumor cells, offer a promising strategy to augment therapeutic efficacy in cancer treatment [103, 104]. Additionally, certain nanomedicines can boost anti-tumor immune responses by enhancing the function of immune cells, further improving treatment outcomes [105]. These approaches provide new hope for overcoming immunosuppression within the TME.
Regulation of different NcRNAs in the TME and therapeutic potentials
MiRNAs
In the TME, miRNAs play a crucial role in regulating the behavior of cancer cells via diverse mechanisms. MiR-15a, for instance, is low expression in pancreatic ductal adenocarcinoma; its upregulation can curb tumor progression by targeting BMI-1, thus suppressing cell proliferation and epithelial-mesenchymal transition (EMT) [106]. Meanwhile, miR-1247-3p enhances angiogenesis in bladder cancer by targeting FOXO1, speeding up tumor growth [107]. Beyond cancer cells, miRNAs influence immune cells, fibroblasts, and other stromal cells, affecting tumor progression. Hypoxia-induced downregulation of miR-1275 impairs natural killer (NK) cell function, facilitating immune evasion in pancreatic cancer [108]. MiR-6794-5p boosts tumor growth by promoting M2-type macrophage polarization [109]. Moreover, miR-1246 regulates TAMs polarization through the NOD-like receptor pathway, advancing colorectal cancer [110]. MiR-146a curtails ovarian tumor growth by targeting immunosuppressive neutrophils and boosting CD8+ T-cell infiltration [111]. Conversely, miR-1246 also supports ovarian tumor growth by modulating M2-type macrophage polarization [112]. MiR-4488 triggers M2 polarization in macrophages and fosters hepatic metastasis of pancreatic neuroendocrine tumors via RTN3/FABP5-mediated fatty acid oxidation [113]. MiR-5100 accelerates head and neck squamous cell carcinoma metastasis by enhancing exosome-mediated activation of CAFs [114]. The hsa_circ_0009092/miR-665/NLK signaling pathway restrains colorectal cancer by attracting TAMs [115]. These findings highlight the multifaceted and intricate roles of miRNAs in the TME. CAFs are pivotal in this environment, and miRNAs can control their activation and function through various pathways. MiR-432-5p, secreted by CAFs, promotes chemoresistance in prostate cancer by targeting CHAC1 to prevent ferroptosis (an iron-dependent cell death pathway) [116]. Similarly, miR-92a, also secreted by CAFs, aids breast cancer invasion and metastasis by modulating G3BP2 [117]. Furthermore, miRNAs contribute to tumor resistance by targeting specific proteins. MiR-152-3p enhances radiotherapies resistance in cervical cancer by targeting KLF15 [118]. MiR-196a confers cisplatin resistance to head and neck squamous cell carcinoma by targeting CDKN1B and ING5 [119].
The regulatory function of miRNAs in the TME offers a theoretical foundation for developing new therapeutic approaches. Current applications of miRNAs in cancer therapies focus on three main areas: restoring the expression of tumor suppressor miRNAs, inhibiting oncogenic miRNAs, and using miRNAs as drug delivery vehicles. For instance, enhancing the expression of tumor suppressor miRNAs, like miR-34a, which targets multiple oncogenes including Notch1 and Bcl-2, can inhibit osteosarcoma progression [120]. Similarly, suppressing the activity of oncogenic miRNAs represents another key therapeutic strategy. MiR-21, overexpressed in various cancers, can be targeted with antisense oligonucleotides (ASOs) or miRNA inhibitors to reduce its levels and curb tumor growth [121]. Studies show miR-21 also advances hepatocellular carcinoma by targeting PTEN and PDCD4 [122]. Progress has also been noted in using miRNAs for drug delivery. Plant-derived exosomes have enhanced miRNA bioavailability and delivery in tumors [123]. Additionally, engineered exosomes have been shown to specifically reprogram CAFs, improving pancreatic cancer treatments [124]. These findings highlight the significant potential of miRNAs as drug delivery carriers.
LncRNAs
LncRNAs have emerged as significant regulators in various cancers over recent years. These molecules influence fundamental biological processes, including cell proliferation, apoptosis, and migration. Additionally, lncRNAs play a crucial role in the TME. This review focuses on the regulatory mechanisms of lncRNAs within this environment and their effects on immune cells, metabolic reprogramming, and therapies. It also explores the potential of lncRNAs as biomarkers and therapeutic targets.
LncRNAs play a crucial role in the tumor immune microenvironment. They influence tumor development and treatment effectiveness by modulating immune cell function, infiltration, and the expression of immune checkpoint molecules [125]. For instance, lncRNA EGFR, highly expressed in hepatocellular carcinoma, promotes the differentiation of CD4+ T cells into Tregs. This process inhibits the cytotoxic T cells’ ability to kill tumor cells, allowing tumors to evade immune surveillance [126]. LncRNA TUG1 acts as a sponge for miR-141 and miR-340, regulating the expression of PD-L1 and CD47, respectively. It also interacts with YBX1 to enhance the transcription of PD-L1 and CD47, promoting tumor immune escape [127]. Research indicates that lncRNA H19 correlates positively with the infiltration levels of various immune cells, such as CD4+ T cells, CD8+ T cells, B cells, dendritic cells, neutrophils, and macrophages. It is also associated with multiple immune markers in thyroid cancer [128]. Moreover, lncRNA TRPM2-AS is vital in shaping the tumor immune microenvironment in endometrial cancer. Its overexpression in these cancer cells triggers the polarization and angiogenesis of M2 macrophages via the secretion of SPP1-rich exosomes [129]. These insights highlight the intricate roles of lncRNAs in the tumor im-mune microenvironment and offer new angles for developing lncRNA-targeted interventions.
LncRNAs significantly impact tumor cell metabolism, influencing tumor progression. They affect multiple metabolic pathways, including glycolysis, amino acid metabolism, and fatty acid metabolism. In glycolysis, lncRNAs modulate key enzyme activities, altering energy production in tumor cells. For instance, lncRNA HULC boosts glycolytic rates in hepatocellular carcinoma by activating the LDHA/PKM2 pathway, enhancing cancer cell proliferation [130]. SNHG6, identified in colorectal cancer, intensifies glycolysis through the hnRNPA1/PKM signaling axis, increasing cancer cell numbers and invasion capabilities, as well as distant metastasis [131]. TAMs deliver myeloid-specific lncRNA HISLA via extracellular vesicles (EVs), boosting aerobic glycolysis and apoptosis resistance in breast cancer cells [132]. Beyond glycolysis, lncRNAs regulate amino acid metabolism; lncRNA XLOC_006390 promotes pancreatic carcinogenesis and glutamate metabolism by stabilizing c-Myc [133]. Fatty acid metabolism is another area where lncRNAs exert influence. The m6A-modified lncRNA POU6F2-AS1 reprograms fatty acid metabolism and accelerates colorectal cancer growth by upregulating FASN [134]. Overall, lncRNAs shape tumor biology by disrupting various metabolic pathways, highlighting their importance in cancer research for understanding disease mechanisms and identifying therapeutic targets.
LncRNAs serve various roles in TME therapies, acting as prognostic markers, immunotherapies indicators, and potential therapeutic targets. They offer crucial insights into patient survival and reactions to specific treatments. High levels of lncRNA CRNDE correlate with cisplatin resistance in gastric cancer [135], while elevated lncRNA HOTAIR expression in small-cell lung cancer links to faster disease progression and worse outcomes [136]. LncRNAs are also valuable for predicting responses to immune check inhibitors (ICIs) therapies [137]. Research indicates that MHC-1 serves as a significant biomarker in ICIs [138], and lncRNA LIMIT enhances MHC-I expression and tumor immunogenicity, boosting checkpoint therapies effectiveness [139]. This highlights the potential of targeting specific lncRNAs to improve ICI performance. Additionally, lncRNAs represent a promising direct therapeutic target. Manipulating their expression or blocking their functions can help manage or reverse tumor growth. For instance, silencing lncRNA MALAT1, which shows abnormal activity in cutaneous T-cell lymphoma, can slow tumor progression [140]. Thus, developing therapies aimed at key lncRNAs like MALAT1 could become a critical focus in advancing cancer treatment strategies.
The role of lncRNAs in the TME is gaining increasing attention. These molecules influence immune cell function, metabolic reprogramming, and therapeutic response via various mechanisms. Future research should delve deeper into the precise actions of lncRNAs, aiming to identify new biomarkers and therapeutic strategies. This work could offer novel insights for advancing precision cancer therapies.
CircRNAs
In recent years, ncRNAs, particularly circRNAs, have garnered significant attention for their roles in cancer development, progression, and immunotherapies. These molecules are crucial in various biological processes such as regulating gene expression and protein function [141]. CircRNAs exhibit high stability, conservation, and tissue specificity, which makes them promising candidates as biomarkers and therapeutic targets [142].
CircRNAs can regulate gene expression by functioning as miRNA sponges. For instance, circSHKBP1 promotes gastric cancer progression and inhibits HSP90 degradation by modulating the miR-582-3p/HUR/VEGF axis [143]. Additionally, circSMARCC1 disrupts the interaction between prostate cancer cells and tumor-associated macrophages via the miR-1322/CCL20/CCR6 pathway, thus fostering tumor progression [144]. Moreover, circFTO moves from M2-type macrophages to non-small cell lung cancer (NSCLC) cells through small extracellular vesicles (sEVs), enhancing NSCLC malignancy by adjusting the miR-148a-3p/PDK4 axis [145]. These findings indicate that circRNAs can serve as miRNA sponges to influence key signaling pathways, impacting cell behavior within the TME. Furthermore, circRNAs regulate tumor progression through protein interactions in the TME. CircBBS9, for example, modulates the tumor immune microenvironment by directly binding to the IFIT3 protein, influencing the early diagnosis of lung adenocarcinoma [146]. CircRNAs also impact the TME by altering immune cell function. CircATP8A1 advances gastric cancer progression by inducing macrophage M2 polarization through the miR-1-3p/STAT6 axis [147]. Similarly, circPOLQ promotes macrophage M2 polarization by activating the IL-10/STAT3 axis, affecting the immunotherapies effectiveness in colorectal cancer [148]. CircNDUFB2 restrains NSCLC progression by destabilizing IGF2BPs and boosting anti-tumor immunity [149]. Additionally, circRNAs play a crucial role in tumor metabolic reprogramming. CircMBOAT2 facilitates intrahepatic cholangiocarcinoma progression and lipid metabolic reprogramming by stabilizing PTBP1 to assist FASN mRNA cytoplasmic export [150]. CircSIPA1L3 elevates lactate export and glucose uptake by increasing SLC16A1 levels through enhanced interaction with IGF2BP3 or by serving as a sponge for miR-665 to stabilize RAB11A mRNA, leading to intensified glycolytic metabolism [151].
CircRNAs play significant roles in tumorigenesis, development, and immune regulation due to their unique structural and functional characteristics. They offer new insights into cancer therapies. Recent research indicates that circRNAs influence tumor cell behavior by modulating gene expression and signaling pathways. Additionally, they can either enhance or suppress immune responses by altering the function of immune cells, thereby impacting the efficacy of immunotherapies. For instance, circRNF216 influences colorectal cancer progression by controlling tumor metastasis and CD8+ T cell infiltration via the miR-576-5p/ZC3H12C axis. The intricate mechanisms governing how circRNAs interact with immune cells within the TME have been elucidated, offering a theoretical foundation for the creation of novel immunotherapeutic approaches [152]. CircRNAs have garnered significant attention for their involvement in ICI therapies. Research has demonstrated that circRNAs can alter the outcomes of ICIs by adjusting the expression of immune checkpoint molecules like PD-1 and PD-L1, and by affecting T cell function. An example is circBART2.2, which is overexpressed in nasopharyngeal carcinoma, leading to increased PD-L1 levels and diminished T-cell-mediated cytotoxicity, resulting in reduced T-cell infiltration and apoptosis [153]. Moreover, circRNAs can boost the anti-tumor immune response by activating dendritic cells, enhancing antigenic cross-presentation, and stimulating CD4+ and CD8+ T cells [154]. These discoveries suggest that circRNAs hold promise in cancer immunotherapies. CircRNA-based vaccine complexes have been shown to elicit robust antigen-specific T cell responses and powerful antitumor effects [155]. Furthermore, the potential of circRNAs as tumor diagnostic and prognostic markers is becoming more evident, with their stable expression unaffected by splicing variability or cellular conditions making them suitable as potential biomarkers [156].
In summary, circRNAs significantly influence the regulation of the TME. Future research will uncover more detailed mechanisms of circRNAs, offering a solid theoretical foundation and technical support for developing new circRNA-based approaches to tumor diagnosis and therapies. Table 1; Fig. 4 comprehensively summarize the diverse roles of various ncRNAs within the TME.
Table 1.
Non-coding RNAs play multiple biological functions in the TME
| ncRNAs | Cancer Types | Mechanisms | Functions | References |
|---|---|---|---|---|
| MiR-1247-3p | Bladder Cancer | Targets FOXO1 | Promotes angiogenesis, accelerates tumor growth | [107] |
| MiR-146a | Ovarian Cancer | Targets immune-suppressive neutrophils | Increases CD8 + T cell infiltration, inhibits tumor growth | [111] |
| MiR-432-5p | Prostate Cancer | Secreted by CAFs, targets CHAC1 | Inhibits ferroptosis, promotes chemotherapy resistance | [116] |
| MiR-152-3p | Cervical Cancer | Targets KLF15 | Enhances radioresistance | [118] |
| lncRNA TUG1 | Various Cancers | Regulates PD-L1 and CD47 expression | Promotes tumor immune evasion | [127] |
| lncRNA H19 | Thyroid Cancer | Associated with immune cell infiltration | Enhances immune cell infiltration, accelerates tumor progression | [128] |
| lncRNA HULC | Hepatocellular Carcinoma | Activates LDHA/PKM2 pathway | Promotes glycolysis and cell proliferation | [130] |
| lncRNA MALAT1 | Cutaneous T-cell Lymphoma | Abnormal activity | Accelerates tumor progression | [140] |
| circSHKBP1 | Gastric Cancer | Acts as a miRNA sponge, regulates miR-582-3p/HUR/VEGF | Promotes tumor progression | [143] |
| circSMARCC1 | Prostate Cancer | Regulates TAMs via miR-1322/CCL20/CCR6 | Promotes tumor progression | [144] |
| circATP8A1 | Gastric Cancer | Induces M2 polarization, regulates miR-1-3p/STAT6 axis | Promotes tumor progression | [147] |
| circPOLQ | Colorectal Cancer | Activates IL-10/STAT3 axis to regulate M2 polarization | Affects immunotherapy response | [148] |
| circNDUFB2 | Non-small Cell Lung Cancer | Inhibits tumor progression by stabilizing IGF2BP | Enhances anti-tumor immunity | [149] |
Fig. 4.
Non-coding RNAs play multiple biological functions in the TME. The image was drawn via Figdraw with permission
Recent advances and challenges in clinical translation of different NcRNAs
Recent advances in MiRNAs in the TME
MiRNAs, as crucial regulators of gene expression, play a pivotal role in various diseases, particularly in cancer development. Recent years have seen significant advancements in the clinical translational research of miRNAs, encompassing their application as diagnostic markers, therapeutic targets, and drug delivery systems [157]. Notably, miRNA-based PROTACs have been developed to target the oncogenic protein Lin28 for breast cancer treatment. By effectively degrading Lin28A via a ubiquitin-proteasome-dependent pathway, this approach increases the levels of mature let-7 family miRNAs, which subsequently inhibit cancer cell proliferation, migration, and enhance chemotherapies sensitivity [158]. Using heterobifunctional PROTAC probes to degrade BET proteins can enhance the expression of MICA (a ligand for the NKG2D receptor) in multiple myeloma cells, thereby more effectively activating natural killer cells. The specific mechanism involves upregulating certain miRNAs, such as miR-125b-5p, which downregulates the cMYC/miR-125b-5p target gene IRF4, leading to increased MICA expression [159]. Additionally, in endometrial cancer, the upregulation of hsa-mir-200a-b and hsa-mir-429 is associated with decreased expression of genes like PTCH1, CCND2, and ALDH1A1. These miRNAs may also be linked to PROTACs [160], suggesting their potential role in modulating these pathways and contributing to the broader implications of miRNA-based PROTACs therapies across different cancer types. Additionally, MNA enzyme-based nanomachines can cleave heat shock protein (HSP) mRNA by reducing oncogene miR-NA-21, leading to enhanced expression of the tumor suppressor gene PTEN and pancreatic tumor suppression under laser irradiation [161]. Moreover, miR-28-based combination therapies have shown promise in treating aggressive B-cell lymphomas by restoring DNA replication control [162]. Despite these notable achievements, numerous challenges still exist in both basic research and clinical translation of miRNAs.
Clinical translational challenges of MiRNAs
MiRNA bioavailability and off-target effects are two critical considerations when utilizing miRNAs as therapeutic tools. Firstly, regarding miRNA bioavailability, studies have shown that synthetic miRNA mimics such as Dicer substrates (e.g., Dsi155 and Dmi155) need to possess appropriate structural features to ensure they are efficiently taken up by cells and processed into mature miRNAs. Specifically, Dmi155, which has a bulge structure similar to the endogenous pre-miR-155, is more effectively loaded onto Argonaute proteins compared to perfectly matched Dsi155, highlighting the importance of structure for miRNA bioavailability [163].
On the other hand, off-target effects represent a significant challenge in using miRNA therapies. Because miRNAs typically act through imperfect complementary pairing with multiple mRNA targets, they may inadvertently regulate the expression of unintended genes, leading to undesirable biological consequences. For instance, while miR-155 can enhance the immune-stimulating capability of tumor-associated dendritic cells (DCs), inappropriate design or delivery methods might cause miR-155 not only to affect the intended targets but also to interfere with other important signaling pathways or cellular processes, thereby producing side effects [163]. Moreover, certain chemical modifications, although capable of increasing the stability and pharmacokinetic properties of miRNAs, may alter their specificity, thus exacerbating the risk of off-target effects [164].
The delivery of miRNA poses a significant barrier to its clinical use. Unprotected miRNAs are prone to rapid degradation by nucleases in the body, leading to a short half-life and potential off-target effects. Efficient delivery systems must be developed to protect miRNAs and ensure they reach their intended targets safely and effectively [165, 166]. Nanotechnology offers solutions, with multifunctional elastin-like peptide nanocarriers and bioswitchable miRNA mimic delivery systems showing promise in enhancing miRNA delivery and stability [167–169]. Nanocarriers, such as the aforementioned elastin-like peptide nanocarriers, exhibit higher stability and longer circulation time in the blood due to their small size, surface functionalizability, and capability for targeted delivery. However, the design and production of nanocarriers are typically more complex and come with relatively higher costs [170]. On the other hand, liposomes, serving as carriers, possess good biocompatibility and ease of modification, effectively encapsulating miRNAs and facilitating cellular uptake. Yet, they may suffer from potential toxic side effects [171]. Therefore, selecting the appropriate carrier technology requires a comprehensive consideration of various factors within the specific application context.
The intricate role of miRNAs in biology complicates efforts to understand their functions. A single miRNA can influence the expression of many genes, while a single gene can be controlled by several miRNAs. This complexity hinders the identification of specific miRNA functions and their roles in disease mechanisms [172–174]. Despite encouraging outcomes from preclinical studies, miRNA therapies have encountered challenges during clinical trials. For instance, methods involving oligonucleotides and gene therapy to regulate miRNAs are particularly difficult for conditions like neurological disorders and have not gained clinical approval [175]. The delivery system may induce toxic side effects due to the significant impact of carrier technology selection on biodistribution, targeting specificity, and immunogenicity [176]. The functional complexity of miRNAs increases the difficulty in identifying their precise roles and mechanisms in disease, as a single miRNA can regulate multiple genes, and individual genes can be influenced by several different miRNAs [176]. Additionally, the safety risks of directly intervening in gene expression networks include off-target effects caused by unintended gene silencing or activation, as well as potential unknown consequences of long-term use [176]. Future research should concentrate on overcoming these obstacles to advance the clinical application of miRNA therapies.
In summary, despite facing challenges like delivery issues, complex functionality, and safety concerns, the obstacles to clinical translation of miRNAs are being progressively addressed (Table 2). Advances in nanotechnology and high-throughput screening are aiding this process [177]. Ongoing improvements in delivery systems, coupled with deeper insights into miRNA mechanisms, suggest that miRNAs could emerge as a promising therapeutic approach, offering new strategies for treating major diseases, including cancer [178].
Table 2.
Recent advances and challenges in clinical translation of MiRNAs
| Applications | Descriptions | References |
|---|---|---|
| Diagnostic markers | Use of miRNAs for diagnosing various diseases, particularly cancer. | [157] |
| Therapeutic targets | miRNA-based PROTACs targeting oncogenic protein Lin28 for breast cancer treatment. | [158] |
| Drug delivery systems | Enhancing miRNA delivery and stability using nanotechnology and multifunctional nanocarriers. | [167–169] |
| Combination therapies | miR-28-based combination therapies for treating aggressive B-cell lymphomas. | [162] |
| Challenges | Delivery issues, complex functionality, safety concerns, and off-target effects. | [165, 166, 172–176] |
| Nanotechnology solutions | Development of elastin-like peptide nanocarriers and bioswitchable miRNA mimic delivery systems. | [167–169] |
| Liposomes | Good biocompatibility and ease of modification, but potential toxic side effects. | [171] |
| High-throughput screening | Identifying miRNAs with therapeutic potential and understanding their mechanisms. | [177] |
| Future research | Advancing delivery systems and deeper insights into miRNA mechanisms to overcome current obstacles. | [178] |
Recent advances in LncRNAs in the TME
In recent years, lncRNAs have become a focal point in research, with their roles in gene expression, cellular differentiation, and diseases like cancer being widely acknowledged [179]. Notably, clinical translational research on lncRNAs has seen significant advancements. Research indicates that lncRNAs are crucial in cancer initiation, progression, and metastasis. For instance, lncRNAs such as MALAT1, HOTAIR, and PVT1 exhibit abnormal behavior in various cancers and correlate with patient outcomes [180–182]. MALAT1 exhibits pro-oncogenic functions in multiple cancer types by modulating angiogenesis in endothelial cells and promoting tumor cell migration and metastasis [180]. HOTAIR contributes to cancer progression by reshaping chromatin architecture to suppress tumor suppressor genes and by regulating signaling pathways that enhance tumor invasion and metastasis [181]. Additionally, PVT1 promotes cancer cell proliferation and survival by directly targeting multiple miRNAs and activating associated signaling pathways [182]. Targeted therapies against these lncRNAs, including RNA inter-ference (RNAi), antisense oligonucleotides, and small molecule inhibitors, have shown promising outcomes in preclinical studies [183–185]. These findings establish a strong basis for utilizing lncRNAs in cancer diagnosis and treatment.
Clinical translational challenges of LncRNAs
The clinical translation of lncRNAs faces numerous challenges. The tissue-specificity and variable expression levels of lncRNAs complicate their use as biomarkers or therapeutic targets [186]. Efficiently delivering lncRNAs to target cells while preserving their activity remains a critical issue [187]. For instance, in gastric cancer lymph node metastasis, the micro-protein pep-AKR1C2, encoded by exosomal lncAKR1C2, enhances fatty acid oxidation and ATP production by modulating YAP phosphorylation, thus boosting the migration of lymphatic vessel endothelial cells. Yet, inhibiting pep-AKR1C2 to prevent lymph node metastasis is challenging [188]. The intricate mechanisms of lncRNAs involve extensive molecular networks and regulatory pathways, necessitating deeper fundamental research to elucidate their functions [189–191]. Additionally, the stability and specificity of lncRNAs impact their suitability as therapeutic targets; developing technologies for specific recognition and degradation of target lncRNAs requires further refinement [192, 193]. Addressing these challenges demands interdisciplinary collaboration and technological advancements. Researchers are exploring various strategies to improve the clinical utility of lncRNAs. High-throughput screening and gene editing tools like Cas13d/CasRx help identify lncRNAs with therapeutic potential and uncover their mechanisms [194]. Advances in delivery systems, including nanoparticles, liposomes, and viral vectors, offer new ways to precisely deliver lncRNAs [195, 196]. Furthermore, siRNAs and ASOs targeting specific lncRNAs have shown promise in treating certain conditions, with good safety and efficacy profiles [197]. Increasingly, lncRNA studies are advancing to clinical trials, highlighting their potential in treating cancers, cardiovascular diseases, and neuro-degenerative disorders [198, 199].
In conclusion, as our understanding of the biological functions of lncRNAs deepens and technology advances, the clinical application of lncRNAs will present new opportunities for precision medicine (Table 3).
Table 3.
Recent advances and challenges in clinical translation of LncRNAs
| Applications | Descriptions | References |
|---|---|---|
| Cancer diagnostics and treatment | LncRNAs like MALAT1, HOTAIR, and PVT1 exhibit abnormal behavior in cancers and correlate with patient outcomes. | [180–182] |
| Targeted therapies | RNA interference (RNAi), antisense oligonucleotides, and small molecule inhibitors showing promising outcomes. | [183–185] |
| Challenges | Tissue-specificity, variable expression levels, and efficient delivery issues. | [186, 187] |
| Molecular mechanisms | Extensive molecular networks and regulatory pathways complicate understanding of lncRNA functions. | [189–191] |
| Stability and specificity | Developing technologies for specific recognition and degradation of target lncRNAs. | [192, 193] |
| High-throughput screening and gene editing | Using Cas13d/CasRx for identifying therapeutic potential and uncovering mechanisms. | [194] |
| Advanced delivery systems | Using nanoparticles, liposomes, and viral vectors for precise lncRNA delivery. | [195, 196] |
| Clinical trials | Increasingly advancing to clinical trials for treating cancers, cardiovascular diseases, and neurodegenerative disorders. | [198, 199] |
Recent advances in LncRNAs in the TME
The circRNA is a distinctive ncRNA molecule that has garnered significant attention in tumor biology. This interest stems from its closed-loop structure, which confers high stability and tissue specificity. Initially, circRNAs were considered the result of splicing errors or by-products of RNA transcription, deemed incapable of encoding proteins [200]. Advances in bioinformatics, RNA sequencing, and genome sequencing have since unveiled the mechanisms behind circRNA production and their cellular functions [201]. Due to their widespread presence, conservation, stability, and distinct expression patterns in tumor patients compared to healthy individuals, circRNAs hold great preclinical promise for diagnosing and treating various tumors [202]. Early studies have highlighted the involvement of specific circRNAs in tumor progression and immunotherapies, suggesting new targets for cancer immunotherapies [203–205].
Clinical translational challenges of circrnas
Despite the significant potential of circRNAs for clinical applications, several scientific challenges must be overcome before their full promise can be realized. Only 10–20% of circRNAs are conserved between humans and mice, limiting the translational relevance of findings from animal models to human patients [206]. Current technologies also face limitations, such as inefficient circRNA synthesis and high costs for enzymes and reagents, which complicate the development of circRNA biomarkers and cancer immunotherapies [207]. Additionally, many circRNA biomarkers remain underdeveloped, and existing assessments often rely on comparisons with adjacent or normal tissues, rather than considering the dynamic changes in the tumor microenvironment, including immune cell secretion, inflammatory factors, and cytokines [208]. Research indicates that multiple factors, such as gene mutations, chromosomal copy number alterations, aberrant methylation, and post-transcriptional modifications, collectively drive the initiation and progression of CRC, all of which can lead to abnormal gene expression. Specifically, within the dynamics of the TME, changes like immune suppression and tumor-promoting induction play crucial roles [209]. Additionally, mesenchymal stem cells (MSCs), as a vital component of the dynamic TME, have been utilized to investigate the function of Circ_0004303 [210]. Therefore, when conducting ncRNA studies, it is essential to consider the dynamic changes in the TME. This broader perspective will enhance our understanding of circRNA mechanisms and explore their potential as diagnostic and prognostic biomarkers, as well as therapeutic targets or vehicles.
To address these challenges, researchers are investigating targeted therapies that leverage the distinctive properties of circRNAs. For instance, circRNA-targeting vectors encapsulated in lipid nanoparticles (LNPs) can adjust circRNA expression in tumors, minimizing side effects on healthy cells and enhancing both patient recovery rates and quality of life [211]. Researchers have developed and refined immune-deficient mice, enabling the transplantation of human genes, cells, tissues, or organs into these models. This process allows the reactions observed in the mice to offer more dependable insights for therapeutic approaches. Acting as a crucial link between clinical applications and basic research, humanized mice are becoming an increasingly vital tool in the preclinical assessment of cancer treatments [212]. Additionally, the study demonstrated the potential of using human liver organoids derived and cultured from HBV-infected patients as a research platform. These organoids are not only capable of supporting HBV infection and replication but can also be utilized for drug screening, such as the effective inhibition of HBV replication by Tenofovir. This approach overcomes the limitations inherent in traditional animal models and cell line models, including the lack of relevance to human physiology and differences in gene expression profiles due to tumor origins [213]. CircRNAs, being reliable indicators of immunotherapeutic response, also hold promise for use in tumor vaccine development to boost anti-tumor immune reactions [214].
Combining circRNAs with current clinical treatments, such as PD1/PD-L1 immune checkpoint inhibitors, can more effectively activate the host’s immune system to combat tumor immune evasion, offering a novel approach to cancer immunotherapies [215]. Studies have shown that CircRHBDD1 promotes immune evasion through the IGF2BP2/PD-L1 signaling pathway and serves as a nano-therapeutic target in gastric cancer [216]. Although translating circRNAs into clinical applications presents numerous obstacles, their significant potential in cancer diagnosis and therapies underscores their importance for future research endeavors (Table 4).
Table 4.
Recent advances and challenges in clinical translation of circrnas
| Applications | Descriptions | References |
|---|---|---|
| Tumor biology | Closed-loop structure confers high stability and tissue specificity, making circRNAs promising for cancer diagnostics and therapeutics. | [202, 204, 205] |
| Scientific challenges | Limited conservation between humans and mice, inefficient synthesis, high costs, and underdeveloped biomarkers. | [206–208] |
| Tumor microenvironment (TME) | Dynamic changes in TME, including immune cell secretion and inflammatory factors, complicate circRNA study. | [209, 210] |
| Targeted therapies | CircRNA-targeting vectors encapsulated in lipid nanoparticles to adjust expression in tumors. | [211] |
| Humanized mice and liver organoids | Used for more reliable therapeutic insights and drug screening. | [212, 213] |
| Tumor vaccine development | CircRNAs as reliable indicators of immunotherapeutic response and potential in tumor vaccines. | [214] |
| Combination therapies | Combining circRNAs with PD1/PD-L1 inhibitors for effective tumor immune evasion combat. | [215, 216] |
Clinical applications of NcRNAs in the TME
Non-coding RNA-based therapeutics: promising candidates and ongoing trials
Therapies utilizing ncRNAs are showing great promise in clinical treatments (Table 5). For example, a study [217] explored how the lncRNA-miRNA-mRNA network responds to Lactobacillus acidophilus consumption in rectal cancer patients. Results indicated that consuming probiotics boosted the expression of tumor-suppressing miRNAs and lncRNAs while reducing oncogenic ones. Significant correlations were observed between certain components, such as miR-133b with IGF1 and miR-21 with SMAD4. The findings suggest that L. acidophilus can enhance the lncRNA-miRNA-mRNA network’s expression, offering new therapeutic approaches. Additionally, MRX34, which is a liposome-encapsulated miR-34a mimic, has undergone Phase I trials for advanced solid tumors [218], demonstrating manageable toxicity and some efficacy. Meanwhile, an ongoing Phase I trial is assessing TUG1 antisense oligonucleotide (TUG1ASO) for recurrent glioblastoma, using a drug delivery system capable of crossing the blood-brain barrier [219].
Table 5.
Clinical applications of NcRNAs in the TME
| Category | Study/Therapy | Clinical Phase | Subjects | Key Findings | Citation |
|---|---|---|---|---|---|
| lncRNA-miRNA-mRNA | Lactobacillus acidophilus effect on rectal cancer patients | Randomized Clinical Trial | 117 subjects (107 cancer, 10 non-cancer) | Probiotics increased tumor-suppressive RNAs | [217] |
| miRNA | MRX34 (miR-34a mimic) | Phase I Clinical Trial | Advanced solid tumors | Manageable toxicity, some clinical activity | [218] |
| miRNA | TUG1 antisense oligonucleotide (TUG1ASO) | Phase I Clinical Trial | Recurrent glioblastoma | Ongoing, penetrates blood-brain barrier | [219] |
| circRNA | Multiple circRNAs (e.g., hsa_circ_0041150, hsa_circ_0001020) | High-throughput sequencing | Hepatocellular carcinoma | Downregulated circRNAs linked to poor survival | [220] |
| miRNA Inhibitor | 13-mer LNA inhibitor of miR-221 (LNA-i-miR-221) | Phase I Dose-escalation | Xenografts in mice, rats, monkeys | Antitumor activity, stable disease, partial responses | [221] |
CircRNAs, known for their stability, are emerging as valuable biomarkers. One study [220] identified several circRNAs (like hsa_circ_0041150 and hsa_circ_0036683) downregulated in hepatocellular carcinoma (HCC). These circRNAs’ low expression correlates with poorer patient survival rates. Particularly, hsa_circ_0036683 stands out as a key prognostic marker. Moreover, a locked nucleic acid (LNA) inhibitor targeting miR-221 (LNA-i-miR-221) was developed and tested in preclinical models, showing antitumor activity and favorable safety profiles in animals. In human trials, it demonstrated good safety, did not reach maximum tolerated dose (MTD), and showed signs of efficacy in some patients. A dose of 5 mg/kg is recommended for further studies [221].
The roles of NcRNAs in clinical oncology: potential and challenges
Non-coding RNA has emerged as a promising player in the field of clinical oncology, offering unique advantages in early cancer diagnosis, prognosis evaluation, and personalized treatment strategies [222]. Certain ncRNAs, such as miRNAs and lncRNAs, exhibit abnormal expression patterns at the early stages of tumor development, making them potential biomarkers for detecting malignancies before traditional methods might identify them [223]. These molecules are involved in regulating key biological processes including cell proliferation, apoptosis, and differentiation, and their expression profiles can provide valuable insights into disease progression and patient outcomes. For example, specific miRNA signatures have been associated with survival rates and treatment responses in various cancers, enabling clinicians to identify high-risk patients and tailor therapeutic approaches accordingly [224, 225]. Moreover, ncRNAs offer new avenues for targeted therapy by influencing drug sensitivity and resistance, thereby enhancing the precision and effectiveness of cancer treatments [27].
Despite their promise, the application of ncRNAs in clinical oncology faces several challenges that must be addressed before they can be widely adopted. One major limitation is the issue of specificity—while some ncRNAs show altered expression in certain cancers, many are also present in normal tissues or other disease states, which can compromise their reliability as standalone biomarkers [176, 226]. Additionally, current technologies for detecting and quantifying ncRNAs are still evolving, with limitations in sensitivity, reproducibility, and standardization across different laboratories and platforms. The complexity of ncRNA regulatory mechanisms further complicates their use, as these molecules often function within intricate networks involving multiple layers of gene regulation [226]. Translating these findings from bench to bedside also requires extensive validation through large-scale clinical trials, regulatory approval, and integration into existing diagnostic and therapeutic frameworks [121, 227]. Therefore, while ncRNAs hold significant potential to advance cancer care, overcoming these technical and biological hurdles remains critical to fully realizing their clinical utility.
From discovery to clinic: a roadmap for translating NcRNA research into therapeutic applications
To successfully translate research findings on ncRNAs from the laboratory into clinical applications, the following technological roadmap can be followed:
Discovery phase
Utilize high-throughput sequencing technologies to identify novel ncRNAs. Validate their functional roles using in vitro cell models.
Biomarker development phase
Screen for ncRNAs with potential diagnostic or prognostic value and validate them using patient-derived samples.
Therapeutic strategy design phase
Develop therapeutic agents such as siRNAs or ASOs targeting specific ncRNAs. Design delivery systems—such as nanoparticles or liposomes—to enhance therapeutic efficacy and minimize side effects.
Screening and gene editing phase
Employ CRISPR/Cas13d-based platforms for large-scale ncRNA screening. Investigate the molecular mechanisms and disease-related functions of selected ncRNAs.
Animal model testing phase
Evaluate the safety and efficacy of the developed therapies in preclinical animal models. Optimize dosing regimens and administration routes based on experimental outcomes.
Clinical trial phase
Proceed through successive phases of clinical trials:
-
Phase I:
Focus on safety and tolerability in a small group of subjects.
-
Phase II:
Assess preliminary efficacy and determine optimal dosing.
-
Phase III:
Conduct large-scale trials comparing the new therapy to existing standard treatments.
Commercialization preparation phase
Prepare and submit a New Drug Application (NDA) to regulatory authorities. Develop strategies for manufacturing, distribution, and marketing.
Post-marketing surveillance phase
Monitor the long-term safety and effectiveness of the approved product in real-world settings. Continuously refine the product and associated technologies based on post-market data.
Prospect
As research on ncRNAs advances, their crucial role in cancer development is becoming increasingly evident. Due to their high stability in body fluids, these ncRNAs also hold promise as key biomarkers for the early diagnosis and screening of cancer [228]. The advent of single-cell RNA sequencing (scRNA-seq) technology has enabled the profiling of the transcriptome at the cellular level, allowing researchers to uncover gene expression patterns in different cell types within human cancers [229]. The INs-seq technology, which integrates scRNA-seq with the detection of intracellular protein activity, has demonstrated its capability in unveiling the immunosuppressive role of TREM2 within the tumor microenvironment [230]. Specifically, by employing the MetaCell approach, a computational method designed for clustering single-cell transcriptomic data and identifying cell subpopulations with high precision, it is possible to identify specific cell subpopulations and further dissect gene expression patterns within these subgroups [231]. Moreover, when conducting ncRNA analysis using high-throughput sequencing data, examining marker genes of different cell types (such as Ear2, Cx3cr1, Arg1, etc.) allows researchers to more precisely understand the functions of cell-type-specific ncRNAs [230]. Additionally, a base-editing sensor library based on the CRISPR-Cas9 system has been utilized for efficient engineering and functional analysis of cancer-associated single nucleotide variants, offering new perspectives and technical approaches for ncRNA research [232, 233]. These technologies and methodologies not only enhance our understanding of the biological functions of ncRNAs but also provide potential avenues for developing novel therapeutic strategies.
One of the key future research directions involves constructing a more comprehensive ncRNA interaction network. This will aid researchers in uncovering the associations between ncRNAs and cancer, enabling the development of computational models for cancer prediction [234]. Additionally, the study of ncRNA biomarkers has emerged as a focal point in the scientific community. Gathering experimentally validated data on the differential analysis of ncRNA biomarkers and their associated genes at the single-cell level can offer critical insights. Such insights are essential for deepening our understanding of the roles these biomarkers play in human cancers [235].
As technology progresses, a key challenge for the future lies in translating fundamental research findings into practical clinical applications. For instance, the development of ncRNA-based liquid biopsy technology enables early-stage cancer detection, which can improve patient survival rates [236]. Additionally, the role of ncRNAs in tumor immunotherapies is attracting increasing attention. Research indicates that ncRNAs can boost the efficacy of tumor immunotherapies by modulating immune cell functions [237]. Consequently, future research should delve deeper into the precise mechanisms by which ncRNAs influence tumor immunotherapies, providing a solid theoretical foundation for innovative treatment strategies. Moreover, there is a need to develop more efficient delivery methods to ensure that ncRNA-based drugs can accurately target cells and deliver their therapeutic benefits [238, 239].
Conclusions
Non-coding RNAs, such as miRNAs, lncRNAs, and circRNAs, do not encode proteins but are vital for gene expression regulation, intercellular communication, and the TME formation. This review examines the structural characteristics of miRNAs, lncRNAs and circRNAs, along with their roles in the TME. Research shows that these ncRNAs contribute to tumorigenesis and progression through intricate mechanisms, promoting tumor growth and metastasis while influencing the host immune system’s capacity to detect and combat tumors.
The paper also highlights recent advancements in the clinical application of miRNAs, lncRNAs, and circRNAs. The clinical translation of non-coding RNAs faces numerous challenges, such as off-target effects during RNAi and the scalability issues associated with nanoparticle delivery systems. Off-target effects can lead to unintended gene silencing, posing potential safety risks. Nanoparticles, although promising for efficient and safe in vivo delivery, encounter difficulties in maintaining consistency and stability during large-scale production, along with cost and manufacturing feasibility concerns. Additionally, challenges such as poor tissue specificity, immune activation, and insufficient long-term safety data further hinder the broad clinical application and development of non-coding RNA-based therapies.
Considering the significant impact of ncRNAs on tumor biology and their potential as therapeutic targets or biomarkers, future research should focus on elucidating the specific functions of different ncRNA types and advancing the development of next-generation anticancer therapies based on ncRNAs. This could pave the way for personalized cancer treatments, offering more precise and effective interventions. As research progresses, it is anticipated that novel ncRNA-based therapies will soon become a reality, greatly enhancing the prognosis of cancer patients.
Electronic supplementary material
Below is the link to the electronic supplementary material.
Acknowledgements
Not applicable.
Abbreviations
- ncRNAs
non-coding RNAs
- miRNAs
microRNAs
- lncRNAs
long non-coding RNAs
- circRNAs
circular RNAs
- TME
Tumor microenvironment
- VEGF
Vascular endothelial growth factor
- TIMP
Tissue inhibitor of metalloproteinases
- HDAC2
Histone deacetylase 2
- SP1
Specificity protein 1
- CR
Cisplatin resistance
- HNSCC
Head and neck squamous cell carcinoma
- OS
Osteosarcoma
- SNHG7
Small nucleolar RNA host gene 7
- GBM
Glioblastoma multiforme
- EVs
Extracellular vesicles
- PDAC
Pancreatic ductal adenocarcinoma
- NK
Natural killer
- TGF-β
Transforming growth factor beta
- ERK1/2
Extracellular signal-regulated kinase 1/2
- MMPs
Matrix metalloproteinases
- PRKAA
Protein kinase AMP-activated catalytic subunit alpha
- AMPKα
AMP-activated protein kinase alpha
- STK11
Serine/threonine kinase 11
- FMRP
Fragile X mental retardation protein
- CCAR1
Cell cycle and apoptosis regulator protein 1
- HCC
Hepatocellular carcinoma
- CMTM6
CKLF-like MARVEL transmembrane domain containing 6
- PD-L1
Programmed death-ligand 1
- CRC
Colorectal cancer
- ICIs
Immune checkpoint inhibitors
- scRNA-seq
single-cell RNA sequencing
- RNAi
RNA interference
Author contributions
DM drafted this review and designed the figures; BH completed the data collection and provided editorial assistance; HH and YZ gave some valuable suggestions; JZ and YS provided the design and revision of the manuscript. All authors made substantial, direct and intellectual contribution to the review. All authors read and approved the final manuscript.
Funding
Funding This work was supported by the Science and Technology Department Public Welfare Project of Zhejiang Province (grant no. LGF22H160032) and the Medical and Health Science and Technology Project of Zhejiang Province (grant no. 2022RC107 and 2023KY501).
Data availability
No datasets were generated or analysed during the current study.
Declarations
Ethics approval and consent to participate
Not applicable.
Consent for publication
Not applicable.
Competing interests
The authors declare no competing interests.
Footnotes
Publisher’s note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Contributor Information
Jungang Zhang, Email: zhangjungang@hmc.edu.cn.
Ying Shi, Email: shiyingtj@163.com.
References
- 1.Bejarano L, Jordāo MJC, Joyce JA. Therapeutic targeting of the tumor microenvironment. Cancer Discov. 2021;11:933–59. [DOI] [PubMed] [Google Scholar]
- 2.Zhang L, Xu J, Zhou S, Yao F, Zhang R, You W, Dai J, Yu K, Zhang Y, Baheti T, Pu L, Xu J, Qian X, Zhang C, Xia Y, Dai X, Li Q, Wang X. Endothelial DGKG promotes tumor angiogenesis and immune evasion in hepatocellular carcinoma. J Hepatol. 2024;80:82–98. [DOI] [PubMed] [Google Scholar]
- 3.Bai R, Li Y, Jian L, Yang Y, Zhao L, Wei M. The hypoxia-driven crosstalk between tumor and tumor-associated macrophages: mechanisms and clinical treatment strategies. Mol Cancer. 2022;21:177. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 4.Xu Z, Chen Y, Ma L, Chen Y, Liu J, Guo Y, Yu T, Zhang L, Zhu L, Shu Y. Role of Exosomal non-coding RNAs from tumor cells and tumor-associated macrophages in the tumor microenvironment. Mol Therapy: J Am Soc Gene Therapy. 2022;30:3133–54. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 5.Xue C, Gu X, Bao Z, Su Y, Lu J, Li L. The mechanism underlying the NcRNA dysregulation pattern in hepatocellular carcinoma and its tumor microenvironment. Front Immunol. 2022;13:847728. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 6.Zhang Q, Fan X, Zhang X, Ju S. Ferroptosis in tumors and its relationship to other programmed cell death: role of non-coding RNAs. J Translational Med. 2023;21:514. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 7.Liu Y, Liu X, Lin C, Jia X, Zhu H, Song J, Zhang Y. Noncoding RNAs regulate alternative splicing in Cancer. J Experimental Clin cancer Research: CR. 2021;40:11. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 8.Wei C, Zhang C, Zhou Y, Wang J, Jin Y. Progress of Exosomal LncRNAs in pancreatic Cancer. Int J Mol Sci. 2024;25:8665. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 9.Gao T, Lin YQ, Ye HY, Lin WM. miR-124 delivered by BM-MSCs-derived exosomes targets MCT1 of tumor-infiltrating Treg cells and improves ovarian cancer immunotherapy. Neoplasma. 2023;70:713–21. [DOI] [PubMed] [Google Scholar]
- 10.Ni C, Fang QQ, Chen WZ, Jiang JX, Jiang Z, Ye J, Zhang T, Yang L, Meng FB, Xia WJ, Zhong M, Huang J. Breast cancer-derived exosomes transmit LncRNA SNHG16 to induce CD73+γδ1 Treg cells. Signal Transduct Target Therapy. 2020;5:41. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 11.Nail HM, Chiu CC, Leung CH, Ahmed MMM, Wang HD. Exosomal miRNA-mediated intercellular communications and Immunomodulatory effects in tumor microenvironments. J Biomed Sci. 2023;30:69. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 12.Lv Y, Lv Y, Wang Z, Yuan K, Zeng Y. Noncoding RNAs as sensors of tumor microenvironmental stress. J Experimental Clin cancer Research: CR. 2022;41:224. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 13.Xu H, Li M, Pan Z, Zhang Z, Gao Z, Zhao R, Li B, Qi Y, Qiu W, Guo Q, Zhang S, Fan Y, Zhao S, Wang S, Guo X, Deng L, Xue H, Li G. miR-3184-3p enriched in cerebrospinal fluid exosomes contributes to progression of glioma and promotes M2-like macrophage polarization. Cancer Sci. 2022;113:2668–80. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 14.Lima T, Rodrigues JE, Manadas B, Henrique R, Fardilha M, Vitorino R. A peptide-centric approach to analyse quantitative proteomics data- an application to prostate cancer biomarker discovery. J Proteom. 2023;272:104774. [DOI] [PubMed] [Google Scholar]
- 15.Li X, Liang QX, Lin JR, Peng J, Yang JH, Yi C, Yu Y, Zhang QC, Zhou KR. Epitranscriptomic technologies and analyses. Sci China Life Sci. 2020;63(4):501–15. [DOI] [PubMed] [Google Scholar]
- 16.Kan RL, Chen J, Sallam T. Crosstalk between epitranscriptomic and epigenetic mechanisms in gene regulation. Trends Genet. 2022;38(2):182–93. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 17.Huang H, Weng H, Chen J. m6A modification in coding and Non-coding RNAs: roles and therapeutic implications in Cancer. Cancer Cell. 2020;37(3):270–88. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 18.Qiu P, Guo Q, Lin J, Pan K, Chen J, Ding M. An exosome-related long non-coding RNAs risk model could predict survival outcomes in patients with breast cancer. Sci Rep. 2022;12:22322. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 19.Yang SJ, Wang DD, Zhong SL, Chen WQ, Wang FL, Zhang J, Xu WX, Xu D, Zhang Q, Li J, Zhang HD, Hou JC, Mao L, Tang JH. Tumor-derived Exosomal circPSMA1 facilitates the tumorigenesis, metastasis, and migration in triple-negative breast cancer (TNBC) through miR-637/Akt1/β-catenin (cyclin D1) axis. Cell Death Dis. 2021;12:420. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 20.Liu M, Zhang S, Zhou H, Hu X, Li J, Fu B, Wei M, Huang H, Wu H. The interplay between non-coding RNAs and alternative splicing: from regulatory mechanism to therapeutic implications in cancer. Theranostics. 2023;13:2616–31. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 21.Wen K, Chen X, Gu J, Chen Z, Wang Z. Beyond traditional translation: NcRNA derived peptides as modulators of tumor behaviors. J Biomed Sci. 2024;31:63. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 22.Balakittnen J, Weeramange CE, Wallace DF, Duijf PHG, Cristino AS, Kenny L, Vasani S, Punyadeera C. Noncoding RNAs in oral cancer. Wiley Interdisciplinary Reviews RNA. 2023;14:e1754. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 23.Chai C, Sui K, Tang J, Yu H, Yang C, Zhang H, Li SC, Zhong JF, Wang Z, Zhang X. BCR-ABL1-driven exosome-miR130b-3p-mediated gap-junction Cx43 MSC intercellular communications imply therapies of leukemic subclonal evolution. Theranostics. 2023;13:3943–63. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 24.Li X, Wang S, Mu W, Barry J, Han A, Carpenter RL, Jiang BH, Peiper SC, Mahoney MG, Aplin AE, Ren H, He J. Reactive oxygen species reprogram macrophages to suppress antitumor immune response through the Exosomal miR-155-5p/PD-L1 pathway. J Experimental Clin cancer Research: CR. 2022;41:41. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 25.Wang H, Liu L, Liu Q, Zheng J, Zheng Q, Chen Y, Xia H, Wu Q, Sun Y. Identification of upregulated Exosomal MiRNAs between A2780 and A2780/DDP human ovarian cancer cells by high-throughput sequencing. J Ovarian Res. 2023;16:94. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 26.Lu L, Li J, Wei R, Guidi I, Cozzuto L, Ponomarenko J, Prats-Ejarque G, Boix E. Selective cleavage of NcRNA and antiviral activity by RNase2/EDN in THP1-induced macrophages. Cell Mol Life Sci. 2022;79:209. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 27.Chen B, Dragomir MP, Yang C, Li Q, Horst D, Calin GA. Targeting non-coding RNAs to overcome cancer therapy resistance. Signal Transduct Target Therapy. 2022;7:121. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 28.Wang X, Yao X, Xie T, Chang Z, Guo Y, Ni H. Exosome-derived uterine miR-218 isolated from cows with endometritis regulates the release of cytokines and chemokines. Microb Biotechnol. 2020;13:1103–17. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 29.Tang XH, Guo T, Gao XY, Wu XL, Xing XF, Ji JF, Li ZY. Exosome-derived noncoding RNAs in gastric cancer: functions and clinical applications. Mol Cancer. 2021;20:99. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 30.Safarkhani M, Dana N, Taghavimandi F, Najaflu M, Esmaeili Y, Nazarzadeh Zare E, Huh YS, Rahimmanesh I, Makvandi P, Xu Y, Jin X. Exploring metal-organic frameworks in gene delivery: from prostate to lung therapeutics. Appl Mater Today. 2024;41:102449. [Google Scholar]
- 31.Toden S, Zumwalt TJ, Goel A. Non-coding RNAs and potential therapeutic targeting in cancer. Biochimica et biophysica acta. Reviews cancer. 2021;1875:188491. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 32.Siqueira IR, Batabyal RA, Freishtat R, Cechinel LR. Potential involvement of Circulating extracellular vesicles and particles on exercise effects in malignancies. Front Endocrinol. 2023;14:1121390. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 33.Qi, Y., Jin, C., Qiu, W., Zhao, R., Wang, S., Li, B., Zhang, Z., Guo, Q., Zhang, S.,Gao, Z., Zhao, S., Pan, Z., Fan, Y., Chen, Z., Wang, H., Xu, J., Deng, L., Ni, S.,Wang, J., Xue, H.,… Li, G. (2022). The dual role of glioma exosomal microRNAs: glioma eliminates tumor suppressor miR-1298-5p via exosomes to promote immunosuppressive effects of MDSCs. Cell death & disease, 13, 426. [DOI] [PMC free article] [PubMed]
- 34.Zhao Y, Dhani S, Zhivotovsky B. Unveiling caspase-2 regulation by non-coding RNAs. Cell Death Dis. 2022;13:834. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 35.Katopodi T, Petanidis S, Domvri K, Zarogoulidis P, Anestakis D, Charalampidis C, Tsavlis D, Bai C, Huang H, Freitag L, Hohenforst-Schmidt W, Matthaios D, Porpodis K. Kras-driven intratumoral heterogeneity triggers infiltration of M2 polarized macrophages via the circHIPK3/PTK2 immunosuppressive circuit. Sci Rep. 2021;11:15455. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 36.Safarkhani M, Taghavimandi F, Biglari N, Ojaghi A, Naderi Farzan F, Shin K, Won J, Xu Y, Huh Y, Zare N, E., Makvandi P. Metal-organic frameworks integrated into carbohydrate polymers as promising platforms for tissue engineering. Chem Eng J. 2025;506:156847. [Google Scholar]
- 37.Zhang R, Wei Y, Wang T, Nie X, Shi Z, Deng Y, Li D. Exosomal MiRNAs in autoimmune skin diseases. Front Immunol. 2023;14:1307455. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 38.Adams L. Non-coding RNA: Pri-miRNA processing: structure is key. Nat Rev Genet. 2017;18:145. [DOI] [PubMed] [Google Scholar]
- 39.Alarcón CR, Lee H, Goodarzi H, Halberg N, Tavazoie SF. N6-methyladenosine marks primary MicroRNAs for processing. Nature. 2015;519:482–5. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 40.Shang R, Lee S, Senavirathne G, Lai EC. MicroRNAs in action: biogenesis, function and regulation. Nat Rev Genet. 2023;24:816–33. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 41.Binzel DW, Guo S, Yin H, Lee TJ, Liu S, Shu D, Guo P. Rational design for controlled release of Dicer-substrate SiRNA harbored in phi29 pRNA-based nanoparticles. Mol Therapy Nucleic Acids. 2021;25:524–35. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 42.Lee YY, Lee H, Kim H, Kim VN, Roh SH. Structure of the human DICER-pre-miRNA complex in a dicing state. Nature. 2023;615:331–8. [DOI] [PubMed] [Google Scholar]
- 43.Diener C, Keller A, Meese E. The miRNA-target interactions: an underestimated intricacy. Nucleic Acids Res. 2024;52:1544–57. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 44.Treiber T, Treiber N, Meister G. Regulation of MicroRNA biogenesis and its crosstalk with other cellular pathways. Nature reviews. Mol Cell Biology. 2019;20:5–20. [DOI] [PubMed] [Google Scholar]
- 45.Ha M, Kim VN. Regulation of MicroRNA biogenesis. Nat Rev Mol Cell Biol. 2014;15:509–24. [DOI] [PubMed] [Google Scholar]
- 46.Kim H, Kim J, Yu S, Lee YY, Park J, Choi RJ, Yoon SJ, Kang SG, Kim VN. A mechanism for MicroRNA arm switching regulated by uridylation. Mol Cell. 2020;78:1224–e12365. [DOI] [PubMed] [Google Scholar]
- 47.McGeary SE, Lin KS, Shi CY, Pham TM, Bisaria N, Kelley GM, Bartel DP. The biochemical basis of MicroRNA targeting efficacy. Sci (New York N Y). 2019;366:eaav1741. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 48.Nussbacher JK, Yeo GW. Systematic discovery of RNA binding proteins that regulate MicroRNA levels. Mol Cell. 2018;69:1005–e10167. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 49.Baek SC, Kim B, Jang H, Kim K, Park IS, Min DH, Kim VN. Structural atlas of human primary MicroRNAs generated by SHAPE-MaP. Mol Cell. 2024;84:1158–e11726. [DOI] [PubMed] [Google Scholar]
- 50.Kooshapur H, Choudhury NR, Simon B, Mühlbauer M, Jussupow A, Fernandez N, Jones AN, Dallmann A, Gabel F, Camilloni C, Michlewski G, Caceres JF, Sattler M. Structural basis for terminal loop recognition and stimulation of pri-miRNA-18a processing by HnRNP A1. Nat Commun. 2018;9:2479. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 51.Johnson KC, Kilikevicius A, Hofman C, Hu J, Liu Y, Aguilar S, Graswich J, Han Y, Wang T, Westcott JM, Brekken RA, Peng L, Karagkounis G, Corey DR. Nuclear localization of argonaute 2 is affected by cell density and May relieve repression by MicroRNAs. Nucleic Acids Res. 2024;52:1930–52. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 52.Buhagiar AF, Kleaveland B. To kill a MicroRNA: emerging concepts in target-directed MicroRNA degradation. Nucleic Acids Res. 2024;52:1558–74. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 53.Qian X, Zhao J, Yeung PY, Zhang QC, Kwok CK. Revealing LncRNA structures and interactions by Sequencing-Based approaches. Trends Biochem Sci. 2019;44:33–52. [DOI] [PubMed] [Google Scholar]
- 54.Sharma H, Valentine MNZ, Toki N, Sueki HN, Gustincich S, Takahashi H, Carninci P. Decryption of sequence, structure, and functional features of SINE repeat elements in SINEUP non-coding RNA-mediated post-transcriptional gene regulation. Nat Commun. 2024;15:1400. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 55.Xu M, Senanayaka D, Zhao R, Chigumira T, Tripathi A, Tones J, Lackner RM, Wondisford AR, Moneysmith LN, Hirschi A, Craig S, Alishiri S, O’Sullivan RJ, Chenoweth DM, Reiter NJ, Zhang H. TERRA-LSD1 phase separation promotes R-loop formation for telomere maintenance in ALT cancer cells. Nat Commun. 2024;15:2165. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 56.Liang X, Gong M, Wang Z, Wang J, Guo W, Cai A, Yang Z, Liu X, Xu F, Xiong W, Fu C, Wang X. LncRNA TubAR complexes with TUBB4A and TUBA1A to promote microtubule assembly and maintain myelination. Cell Discovery. 2024;10:54. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 57.Liu S, Huang J, Zhou J, Chen S, Zheng W, Liu C, Lin Q, Zhang P, Wu D, He S, Ye J, Liu S, Zhou K, Li B, Qu L, Yang J. NAP-seq reveals multiple classes of structured noncoding RNAs with regulatory functions. Nat Commun. 2024;15:2425. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 58.Herman AB, Tsitsipatis D, Gorospe M. Integrated LncRNA function upon genomic and epigenomic regulation. Mol Cell. 2022;82:2252–66. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 59.Qiao K, Ning S, Wan L, Wu H, Wang Q, Zhang X, Xu S, Pang D. Correction to: LINC00673 is activated by YY1 and promotes the proliferation of breast cancer cells via the miR-515-5p/MARK4/Hippo signaling pathway. J Experimental Clin cancer Research: CR. 2020;39:154. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 60.Lu J, Huang Y, Zhang X, Xu Y, Nie S. Noncoding RNAs involved in DNA methylation and histone methylation, and acetylation in diabetic vascular complications. Pharmacol Res. 2021;170:105520. [DOI] [PubMed] [Google Scholar]
- 61.Zhang J, Li Y, Dong M, Wu D. Long non-coding RNA NEAT1 regulates E2F3 expression by competitively binding to miR-377 in non-small cell lung cancer. Oncol Lett. 2017;14:4983–8. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 62.Malakar P, Shilo A, Mogilevsky A, Stein I, Pikarsky E, Nevo Y, Benyamini H, Elgavish S, Zong X, Prasanth KV, Karni R. Long noncoding RNA MALAT1 promotes hepatocellular carcinoma development by SRSF1 upregulation and mTOR activation. Cancer Res. 2017;77:1155–67. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 63.Misir S, Wu N, Yang BB. Specific expression and functions of circular RNAs. Cell Death Differ. 2022;29:481–91. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 64.Wesselhoeft RA, Kowalski PS, Anderson DG. Engineering circular RNA for potent and stable translation in eukaryotic cells. Nat Commun. 2018;9:2629. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 65.Heydarnia E, Dorostgou Z, Hedayati N, Mousavi V, Yahyazadeh S, Alimohammadi M, Gheibi M, Heidari P, Igder S, Mafi A, Vakili O. Circular RNAs and cervical cancer: friends or foes? A landscape on circRNA-mediated regulation of key signaling pathways involved in the onset and progression of HPV-related cervical neoplasms. Cell Communication Signaling: CCS. 2024;22:107. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 66.Zhao W, Chu S, Jiao Y. Present scenario of circular RNAs (circRNAs) in plants. Front Plant Sci. 2019;10:379. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 67.Hwang HJ, Kim YK. Molecular mechanisms of circular RNA translation. Exp Mol Med. 2024;56:1272–80. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 68.Liu D, Dredge BK, Bert AG, Pillman KA, Toubia J, Guo W, Dyakov BJA, Migault MM, Conn VM, Conn SJ, Gregory PA, Gingras AC, Patel D, Wu B, Goodall GJ. ESRP1 controls biogenesis and function of a large abundant multiexon circrna. Nucleic Acids Res. 2024;52:1387–403. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 69.Chang J, Shin MK, Park J, Hwang HJ, Locker N, Ahn J, Kim D, Baek D, Park Y, Lee Y, Boo SH, Kim HI, Kim YK. An interaction between eIF4A3 and eIF3g drives the internal initiation of translation. Nucleic Acids Res. 2023;51:10950–69. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 70.Li X, Yang L, Chen LL. The biogenesis, functions, and challenges of circular RNAs. Mol Cell. 2018;71:428–42. [DOI] [PubMed] [Google Scholar]
- 71.Das A, Sinha T, Mishra SS, Das D, Panda AC. Identification of potential proteins translated from circular RNA splice variants. Eur J Cell Biol. 2023;102:151286. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 72.Pamudurti NR, Bartok O, Jens M, Ashwal-Fluss R, Stottmeister C, Ruhe L, Hanan M, Wyler E, Perez-Hernandez D, Ramberger E, Shenzis S, Samson M, Dittmar G, Landthaler M, Chekulaeva M, Rajewsky N, Kadener S. Translation of circrnas. Mol Cell. 2017;66:9–e217. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 73.Abe N, Matsumoto K, Nishihara M, Nakano Y, Shibata A, Maruyama H, Shuto S, Matsuda A, Yoshida M, Ito Y, Abe H. Rolling circle translation of circular RNA in living human cells. Sci Rep. 2015;5:16435. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 74.Zhang M, Huang N, Yang X, Luo J, Yan S, Xiao F, Chen W, Gao X, Zhao K, Zhou H, Li Z, Ming L, Xie B, Zhang N. A novel protein encoded by the circular form of the SHPRH gene suppresses glioma tumorigenesis. Oncogene. 2018;37:1805–14. [DOI] [PubMed] [Google Scholar]
- 75.Conn SJ, Pillman KA, Toubia J, Conn VM, Salmanidis M, Phillips CA, Roslan S, Schreiber AW, Gregory PA, Goodall GJ. The RNA binding protein quaking regulates formation of circrnas. Cell. 2015;160:1125–34. [DOI] [PubMed] [Google Scholar]
- 76.Qu S, Yang X, Li X, Wang J, Gao Y, Shang R, Sun W, Dou K, Li H. Circular RNA: A new star of noncoding RNAs. Cancer Lett. 2015;365:141–8. [DOI] [PubMed] [Google Scholar]
- 77.Bi J, Liu H, Dong W, Xie W, He Q, Cai Z, Huang J, Lin T. Correction to: circular RNA circ-ZKSCAN1 inhibits bladder cancer progression through miR-1178-3p/p21 axis and acts as a prognostic factor of recurrence. Mol Cancer. 2020;19:148. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 78.Miao Z, Li J, Wang Y, Shi M, Gu X, Zhang X, Wei F, Tang X, Zheng L, Xing Y. Hsa_circ_0136666 stimulates gastric cancer progression and tumor immune escape by regulating the miR-375/PRKDC Axis and PD-L1 phosphorylation. Mol Cancer. 2023;22:205. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 79.Li J, Sun D, Pu W, Wang J, Peng Y. Circular RNAs in cancer: biogenesis, function, and clinical significance. Trends cancer. 2020;6:319–36. [DOI] [PubMed] [Google Scholar]
- 80.Ciriello G, Magnani L, Aitken SJ, Akkari L, Behjati S, Hanahan D, Landau DA, Lopez-Bigas N, Lupiáñez DG, Marine JC, Martin-Villalba A, Natoli G, Obenauf AC, Oricchio E, Scaffidi P, Sottoriva A, Swarbrick A, Tonon G, Vanharanta S, Zuber J. Cancer evolution: A multifaceted affair. Cancer Discov. 2024;14:36–48. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 81.Rodrigues DB, Reis RL, Pirraco RP. Modelling the complex nature of the tumor microenvironment: 3D tumor spheroids as an evolving tool. J Biomed Sci. 2024;31:13. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 82.Zhu D, Zeng S, Su C, Li J, Xuan Y, Lin Y, Xu E, Fan Q. The interaction between DNA methylation and tumor immune microenvironment: from the laboratory to clinical applications. Clin Epigenetics. 2024;16:24. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 83.Rossi GR, Trindade ES, Souza-Fonseca-Guimaraes F. Tumor Microenvironment-Associated extracellular matrix components regulate NK cell function. Front Immunol. 2020;11:73. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 84.Hu M, Deng F, Song X, Zhao H, Yan F. The crosstalk between immune cells and tumor pyroptosis: advancing cancer immunotherapy strategies. J Experimental Clin cancer Research: CR. 2024;43:190. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 85.Silvestre-Roig C, Kalafati L, Chavakis T. Neutrophils are shaped by the tumor microenvironment: novel possibilities for targeting neutrophils in cancer. Signal Transduct Target Therapy. 2024;9:77. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 86.Kang J, Lee JH, Cha H, An J, Kwon J, Lee S, Kim S, Baykan MY, Kim SY, An D, Kwon AY, An HJ, Lee SH, Choi JK, Park JE. Systematic dissection of tumor-normal single-cell ecosystems across a thousand tumors of 30 cancer types. Nat Commun. 2024;15:4067. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 87.Leivonen SK, Lazaridis K, Decock J, Chantry A, Edwards DR, Kähäri VM. TGF-β-elicited induction of tissue inhibitor of metalloproteinases (TIMP)-3 expression in fibroblasts involves complex interplay between Smad3, p38α, and ERK1/2. PLoS ONE. 2013;8:e57474. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 88.Ciriello G, Magnani L. The many faces of cancer evolution. iScience. 2021;24:102403. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 89.Zheng X, Sarode P, Weigert A, Turkowski K, Chelladurai P, Günther S, Kuenne C, Winter H, Stenzinger A, Reu S, Grimminger F, Stiewe T, Seeger W, Pullamsetti SS, Savai R. The HDAC2-SP1 Axis orchestrates protumor macrophage polarization. Cancer Res. 2023;83:2345–57. [DOI] [PubMed] [Google Scholar]
- 90.Wang Y, Wang Y, Ren Y, Zhang Q, Yi P, Cheng C. Metabolic modulation of immune checkpoints and novel therapeutic strategies in cancer. Sem Cancer Biol. 2022;86:542–65. [DOI] [PubMed] [Google Scholar]
- 91.Gavish, A., Tyler, M., Greenwald, A. C., Hoefflin, R., Simkin, D., Tschernichovsky,R., Galili Darnell, N., Somech, E., Barbolin, C., Antman, T., Kovarsky, D., Barrett,T., Gonzalez Castro, L. N., Halder, D., Chanoch-Myers, R., Laffy, J., Mints, M., Wider,A., Tal, R., Spitzer, A.,… Tirosh, I. (2023). Hallmarks of transcriptional intratumour heterogeneity across a thousand tumours.Nature,618, 598–606. [DOI] [PubMed]
- 92.Liu H, Lyu H, Jiang G, Chen D, Ruan S, Liu S, Zhou L, Yang M, Zeng S, He Z, Wang H, Li H, Zheng G, Liu B. ALKBH5-Mediated m6A demethylation of GLUT4 mRNA promotes Glycolysis and resistance to HER2-Targeted therapy in breast Cancer. Cancer Res. 2022;82:3974–86. [DOI] [PubMed] [Google Scholar]
- 93.Shen X, Zhong J, He J, Han J, Chen N. Identification of m6A modification patterns and development of m6A-hypoxia prognostic signature to characterize tumor microenvironment in triple-negative breast cancer. Front Immunol. 2022;13:978092. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 94.Liu Y, Yan W, Tohme S, Chen M, Fu Y, Tian D, Lotze M, Tang D, Tsung A. Hypoxia induced HMGB1 and mitochondrial DNA interactions mediate tumor growth in hepatocellular carcinoma through Toll-like receptor 9. J Hepatol. 2015;63:114–21. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 95.Li Y, Zhao L, Li XF. Hypoxia and the tumor microenvironment. Technol Cancer Res Treat. 2021;20:15330338211036304. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 96.Li Y, Jin H, Li Q, Shi L, Mao Y, Zhao L. The role of RNA methylation in tumor immunity and its potential in immunotherapy. Mol Cancer. 2024;23:130. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 97.Wang L, Hui H, Agrawal K, Kang Y, Li N, Tang R, Yuan J, Rana TM. m6A RNA methyltransferases METTL3/14 regulate immune responses to anti-PD-1 therapy. EMBO J. 2020;39:e104514. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 98.Wang L, Zhu L, Liang C, Huang X, Liu Z, Huo J, Zhang Y, Zhang Y, Chen L, Xu H, Li X, Xu L, Kuang M, Wong CC, Yu J. Targeting N6-methyladenosine reader YTHDF1 with SiRNA boosts antitumor immunity in NASH-HCC by inhibiting EZH2-IL-6 axis. J Hepatol. 2023;79:1185–200. [DOI] [PubMed] [Google Scholar]
- 99.Liu J, Bai Y, Li Y, Li X, Luo K. Reprogramming the immunosuppressive tumor microenvironment through nanomedicine: an immunometabolism perspective. EBioMedicine. 2024;107:105301. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 100.Safarkhani M, Ahmadi S, Ipakchi H, Saeb MR, Makvandi P, Ebrahimi Warkiani M, et al. Advancements in aptamer-driven DNA nanostructures for precision drug delivery. Adv Sci. (Weinheim Baden-Wurttemberg Germany) 2024;11(26):e2401617. 10.1002/advs.202401617 [DOI] [PMC free article] [PubMed]
- 101.Wang N, Liang H, Zen K. Molecular mechanisms that influence the macrophage m1-m2 polarization balance. Front Immunol. 2014;5:614. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 102.Rabiee N, Ahmadi S, Fatahi Y, Rabiee M, Bagherzadeh M, Dinarvand R, Bagheri B, Zarrintaj P, Saeb MR, Webster TJ. Nanotechnology-assisted microfluidic systems: from bench to bedside. Nanomed (London England). 2021;16(3):237–58. [DOI] [PubMed] [Google Scholar]
- 103.Wang H, Franco F, Ho PC. Metabolic regulation of Tregs in cancer: opportunities for immunotherapy. Trends cancer. 2017;3:583–92. [DOI] [PubMed] [Google Scholar]
- 104.Safarkhani M, Ojaghi A, Mirani Nezhad S, Daneshgar H, Paiva-Santos AC, Radmanesh F, Bagherzadeh M, Zare N, Rabiee E, N., Makvandi P. Engineered (NH2)-MIL-125(Ti)/copolymer@MnFe2O4 nanocomposite for synergistic eradication of cancer cells via DOX/pCRISPR delivery. Adv Compos Hybrid Mater. 2024;7:18. [Google Scholar]
- 105.Renner K, Singer K, Koehl GE, Geissler EK, Peter K, Siska PJ, Kreutz M. Metabolic hallmarks of tumor and immune cells in the tumor microenvironment. Front Immunol. 2017;8:248. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 106.Guo S, Fesler A, Huang W, Wang Y, Yang J, Wang X, Zheng Y, Hwang GR, Wang H, Ju J. Functional significance and therapeutic potential of miR-15a mimic in pancreatic ductal adenocarcinoma. Mol Therapy Nucleic Acids. 2020;19:228–39. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 107.Liu Z, Du D, Zhang S. Tumor-derived Exosomal miR-1247-3p promotes angiogenesis in bladder cancer by targeting FOXO1. Cancer Biol Ther. 2024;25:2290033. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 108.Ou Z, Lu Y, Xu D, Luo Z. Hypoxia mediates immune escape of pancreatic cancer cells by affecting miR-1275/AXIN2 in natural killer cells. Front Immunol. 2023;14:1271603. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 109.Choi JY, Seok HJ, Lee DH, Lee E, Kim TJ, Bae S, Shin I, Bae IH. Tumor-derived miR-6794-5p enhances cancer growth by promoting M2 macrophage polarization. Cell Communication Signalin: CCS. 2024;22:190. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 110.Feng Y, Jin C, Wang T, Chen Z, Ji D, Zhang Y, Zhang C, Zhang D, Peng W, Sun Y. The Uridylyl transferase TUT7-Mediated accumulation of Exosomal miR-1246 reprograms TAMs to support CRC progression. Adv Sci (Weinheim Baden-Wurttemberg Germany). 2024;11:e2304222. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 111.Chen R, Coleborn E, Bhavsar C, Wang Y, Alim L, Wilkinson AN, Tran MA, Irgam G, Atluri S, Wong K, Shim JJ, Adityan S, Lee JS, Overwijk WW, Steptoe R, Yang D, Wu SY. miR-146a inhibits ovarian tumor growth in vivo via targeting immunosuppressive neutrophils and enhancing CD8+ T cell infiltration. Mol Therapy Oncolytics. 2023;31:100725. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 112.Pal A, Ojha A, Ju J. Functional and potential therapeutic implication of MicroRNAs in pancreatic Cancer. Int J Mol Sci. 2023;24:17523. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 113.Lu F, Ye M, Shen Y, Xu Y, Hu C, Chen J, Yu P, Xue B, Gu D, Xu L, Chen L, Ding Y, Bai J, Tian Y, Tang Q. Hypoxic tumor-derived Exosomal miR-4488 induces macrophage M2 polarization to promote liver metastasis of pancreatic neuroendocrine neoplasm through RTN3/FABP5 mediated fatty acid oxidation. Int J Biol Sci. 2024;20:3201–18. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 114.Duan Y, Zhou M, Ye B, Yue K, Qiao F, Wang Y, Lai Q, Wu Y, Cao J, Wu Y, Wang X, Jing C. Hypoxia-induced miR-5100 promotes exosome-mediated activation of cancer-associated fibroblasts and metastasis of head and neck squamous cell carcinoma. Cell Death Dis. 2024;15:215. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 115.Song J, Liu Q, Han L, Song T, Huang S, Zhang X, He Q, Liang C, Zhu S, Xiong B. Hsa_circ_0009092/miR-665/NLK signaling axis suppresses colorectal cancer progression via recruiting TAMs in the tumor microenvironment. J Experimental Clin cancer Research: CR. 2023;42:319. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 116.Zhao J, Shen J, Mao L, Yang T, Liu J, Hongbin S. Cancer associated fibroblast secreted miR-432-5p targets CHAC1 to inhibit ferroptosis and promote acquired chemoresistance in prostate cancer. Oncogene. 2024;43:2104–14. [DOI] [PubMed] [Google Scholar]
- 117.Sheng Z, Wang X, Ding X, Zheng Y, Guo A, Cui J, Ma J, Duan W, Dong H, Zhang H, Cui M, Su W, Zhang B. Exosomal miRNA-92a derived from cancer-associated fibroblasts promote invasion and metastasis in breast cancer by regulating G3BP2. Cell Signal. 2024;119:111182. [DOI] [PubMed] [Google Scholar]
- 118.Zhou J, Lei N, Tian W, Guo R, Gao F, Fu H, Zhang J, Dong S, Chen M, Ma Q, Li Y, Chang L. Hypoxic tumor cell-derived small extracellular vesicle miR-152-3p promotes cervical cancer radioresistance through KLF15 protein. Radiation Oncol (London England). 2023;18:183. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 119.Qin X, Guo H, Wang X, Zhu X, Yan M, Wang X, Xu Q, Shi J, Lu E, Chen W, Zhang J. (2019). Exosomal miR-196a derived from cancer-associated fibroblasts confers cisplatin resistance in head and neck cancer through targeting CDKN1B and ING5. Genome biology, 20, 12. [DOI] [PMC free article] [PubMed]
- 120.Deng Y, Zhao F, Zhang Z, Sun F, Wang M. Long noncoding RNA SNHG7 promotes the tumor growth and Epithelial-to-Mesenchymal transition via regulation of miR-34a signals in osteosarcoma. Cancer Biother Radiopharm. 2018;33:365–72. [DOI] [PubMed] [Google Scholar]
- 121.Rupaimoole R, Slack FJ. MicroRNA therapeutics: towards a new era for the management of cancer and other diseases. Nature reviews. Drug Discovery. 2017;16:203–22. [DOI] [PubMed] [Google Scholar]
- 122.Wang Z, Yao W, Li K, Zheng N, Zheng C, Zhao X, Zheng S. Reduction of miR-21 induces SK-N-SH cell apoptosis and inhibits proliferation via PTEN/PDCD4. Oncol Lett. 2017;13:4727–33. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 123.Corvigno S, Liu Y, Bayraktar E, Stur E, Bayram NN, Ahumada AL, Nagaraju S, Rodriguez-Aguayo C, Chen H, Vu TC, Wen Y, Liang H, Zhao L, Lee S, Lopez-Berestein G, Sood AK. Enhanced plant-derived vesicles for nucleotide delivery for cancer therapy. NPJ Precision Oncol. 2024;8:86. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 124.Zhou P, Du X, Jia W, Feng K, Zhang Y. Engineered extracellular vesicles for targeted reprogramming of cancer-associated fibroblasts to potentiate therapy of pancreatic cancer. Signal Transduct Target Therapy. 2024;9:151. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 125.Yang J, Liu F, Wang Y, Qu L, Lin A. LncRNAs in tumor metabolic reprogramming and immune microenvironment remodeling. Cancer Lett. 2022;543:215798. [DOI] [PubMed] [Google Scholar]
- 126.Jiang R, Tang J, Chen Y, Deng L, Ji J, Xie Y, Wang K, Jia W, Chu WM, Sun B. The long noncoding RNA lnc-EGFR stimulates T-regulatory cells differentiation thus promoting hepatocellular carcinoma immune evasion. Nat Commun. 2017;8:15129. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 127.Xi Q, Yang G, He X, Zhuang H, Li L, Lin B, Wang L, Wang X, Fang C, Chen Q, Yang Y, Yu Z, Zhang H, Cai W, Li Y, Shen H, Liu L, Zhang R. (2024). M6A-mediated upregulation of lncRNA TUG1 in liver cancer cells regulates the antitumor response of CD8+ T cells and phagocytosis of macrophages. Advanced science (Weinheim, Baden-Wurttemberg, Germany), 11, e2400695. [DOI] [PMC free article] [PubMed]
- 128.Sahin Y. LncRNA H19 is a potential biomarker and correlated with immune infiltration in thyroid carcinoma. Clin Experimental Med. 2023;23:841–51. [DOI] [PubMed] [Google Scholar]
- 129.Ma H, Weng F, Tong X, Li H, Yao Y, Yuan J. LncRNA TRPM2-AS promotes endometrial carcinoma progression and angiogenesis via targeting miR-497-5p/SPP1 axis. Cell Mol Biol Lett. 2024;29:93. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 130.Wang C, Li Y, Yan S, Wang H, Shao X, Xiao M, Yang B, Qin G, Kong R, Chen R, Zhang N. Interactome analysis reveals that LncRNA HULC promotes aerobic Glycolysis through LDHA and PKM2. Nat Commun. 2020;11:3162. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 131.Lan Z, Yao X, Sun K, Li A, Liu S, Wang X. The interaction between LncRNA SNHG6 and hnRNPA1 contributes to the growth of colorectal Cancer by enhancing aerobic Glycolysis through the regulation of alternative splicing of PKM. Front Oncol. 2020;10:363. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 132.Chen F, Chen J, Yang L, Liu J, Zhang X, Zhang Y, Tu Q, Yin D, Lin D, Wong PP, Huang D, Xing Y, Zhao J, Li M, Liu Q, Su F, Su S, Song E. Extracellular vesicle-packaged HIF-1α-stabilizing LncRNA from tumour-associated macrophages regulates aerobic Glycolysis of breast cancer cells. Nat Cell Biol. 2019;21:498–510. [DOI] [PubMed] [Google Scholar]
- 133.He J, Li F, Zhou Y, Hou X, Liu S, Li X, Zhang Y, Jing X, Yang L. LncRNA XLOC_006390 promotes pancreatic carcinogenesis and glutamate metabolism by stabilizing c-Myc. Cancer Lett. 2020;469:419–28. [DOI] [PubMed] [Google Scholar]
- 134.Jiang T, Qi J, Xue Z, Liu B, Liu J, Hu Q, Li Y, Ren J, Song H, Xu Y, Xu T, Fan R, Song J. (2024). The m6A modification mediated-lncRNA POU6F2-AS1 reprograms fatty acid metabolism and facilitates the growth of colorectal cancer via upregulation of FASN. Molecular cancer, 23, 55. [DOI] [PMC free article] [PubMed]
- 135.Xin L, Zhou LQ, Liu C, Zeng F, Yuan YW, Zhou Q, Li SH, Wu Y, Wang JL, Wu DZ, Lu H. Transfer of LncRNA CRNDE in TAM-derived exosomes is linked with cisplatin resistance in gastric cancer. EMBO Rep. 2021;22:e52124. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 136.Wang Q, Li X, Ren S, Su C, Li C, Li W, Yu J, Cheng N, Zhou C. HOTAIR induces EGFR-TKIs resistance in non-small cell lung cancer through epithelial-mesenchymal transition. Lung cancer (Amsterdam Netherlands). 2020;147:99–105. [DOI] [PubMed] [Google Scholar]
- 137.Gao Y, Wang X, Dong L, Qu C, Lu Q, Wang P, Xin M, Zheng W, Liu C, Ning S. Identifying immune checkpoint-related LncRNA biomarkers for immunotherapy response and prognosis in cancers. Sci Data. 2023;10:663. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 138.Dersh D, Hollý J, Yewdell JW. A few good peptides: MHC class I-based cancer immunosurveillance and immunoevasion. Nat Rev Immunol. 2021;21:116–28. [DOI] [PubMed] [Google Scholar]
- 139.Li G, Kryczek I, Nam J, Li X, Li S, Li J, Wei S, Grove S, Vatan L, Zhou J, Du W, Lin H, Wang T, Subramanian C, Moon JJ, Cieslik M, Cohen M, Zou W. LIMIT is an Immunogenic LncRNA in cancer immunity and immunotherapy. Nat Cell Biol. 2021;23:526–37. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 140.Guo W, Liu GM, Guan JY, Chen YJ, Zhao YZ, Wang K, Bai O. Epigenetic regulation of cutaneous T-cell lymphoma is mediated by dysregulated LncRNA MALAT1 through modulation of tumor microenvironment. Front Oncol. 2022;12:977266. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 141.Kristensen LS, Andersen MS, Stagsted LVW, Ebbesen KK, Hansen TB, Kjems J. The biogenesis, biology and characterization of circular RNAs. Nat Rev Genet. 2019;20:675–91. [DOI] [PubMed] [Google Scholar]
- 142.Lei M, Zheng G, Ning Q, Zheng J, Dong D. Translation and functional roles of circular RNAs in human cancer. Mol Cancer. 2020;19:30. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 143.Xie M, Yu T, Jing X, Ma L, Fan Y, Yang F, Ma P, Jiang H, Wu X, Shu Y, Xu T. Exosomal circSHKBP1 promotes gastric cancer progression via regulating the miR-582-3p/HUR/VEGF axis and suppressing HSP90 degradation. Mol Cancer. 2020;19:112. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 144.Xie T, Fu DJ, Li ZM, Lv DJ, Song XL, Yu YZ, Wang C, Li KJ, Zhai B, Wu J, Feng NH, Zhao SC. CircSMARCC1 facilitates tumor progression by disrupting the crosstalk between prostate cancer cells and tumor-associated macrophages via miR-1322/CCL20/CCR6 signaling. Mol Cancer. 2022;21:173. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 145.Liu Q, Xu P, Jin M, Wang L, Hu F, Yang Q, Bi R, Xiao H, Jiang L, Ding F. CircFTO from M2 macrophage-derived small extracellular vesicles (sEV) enhances NSCLC malignancy by regulation miR-148a-3pPDK4 axis. Cancer Immunol Immunotherapy: CII. 2024;73:91. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 146.Peng D, Liang M, Li L, Yang H, Fang D, Chen L, Guan B. Circ_BBS9 as an early diagnostic biomarker for lung adenocarcinoma: direct interaction with IFIT3 in the modulation of tumor immune microenvironment. Front Immunol. 2024;15:1344954. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 147.Deng C, Huo M, Chu H, Zhuang X, Deng G, Li W, Wei H, Zeng L, He Y, Liu H, Li J, Zhang C, Chen H. Exosome circATP8A1 induces macrophage M2 polarization by regulating the miR-1-3p/STAT6 axis to promote gastric cancer progression. Mol Cancer. 2024;23:49. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 148.Sun Z, Xu Y, Shao B, Dang P, Hu S, Sun H, Chen C, Wang C, Liu J, Liu Y, Hu J. Exosomal circpolq promotes macrophage M2 polarization via activating IL-10/STAT3 axis in a colorectal cancer model. J Immunother Cancer. 2024;12:e008491. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 149.Li B, Zhu L, Lu C, Wang C, Wang H, Jin H, Ma X, Cheng Z, Yu C, Wang S, Zuo Q, Zhou Y, Wang J, Yang C, Lv Y, Jiang L, Qin W. circNDUFB2 inhibits non-small cell lung cancer progression via destabilizing IGF2BPs and activating anti-tumor immunity. Nat Commun. 2021;12:295. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 150.Yu X, Tong H, Chen J, Tang C, Wang S, Si Y, Wang S, Tang Z. CircRNA MBOAT2 promotes intrahepatic cholangiocarcinoma progression and lipid metabolism reprogramming by stabilizing PTBP1 to facilitate FASN mRNA cytoplasmic export. Cell Death Dis. 2023;14:20. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 151.Liang Y, Ye F, Luo D, Long L, Wang Y, Jin Y, Wang L, Li Y, Han D, Chen B, Zhao W, Wang L, Yang Q. Exosomal circSIPA1L3-mediated intercellular communication contributes to glucose metabolic reprogramming and progression of triple negative breast cancer. Mol Cancer. 2024;23:125. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 152.Du W, Quan X, Wang C, Song Q, Mou J, Pei D. Regulation of tumor metastasis and CD8+ T cells infiltration by circRNF216/miR-576-5p/ZC3H12C axis in colorectal cancer. Cell Mol Biol Lett. 2024;29:19. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 153.Li Z, Yin S, Yang K, Zhang B, Wu X, Zhang M, Gao D. CircRNA regulation of T cells in cancer: unraveling potential targets. Int J Mol Sci. 2024;25:6383. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 154.Huang D, Zhu X, Ye S, Zhang J, Liao J, Zhang N, Zeng X, Wang J, Yang B, Zhang Y, Lao L, Chen J, Xin M, Nie Y, Saw PE, Su S, Song E. Tumour circular RNAs elicit anti-tumour immunity by encoding cryptic peptides. Nature. 2024;625:593–602. [DOI] [PubMed] [Google Scholar]
- 155.Li H, Peng K, Yang K, Ma W, Qi S, Yu X, He J, Lin X, Yu G. Circular RNA cancer vaccines drive immunity in hard-to-treat malignancies. Theranostics. 2022;12:6422–36. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 156.Abaza T, El-Aziz MKA, Daniel KA, Karousi P, Papatsirou M, Fahmy SA, Hamdy NM, Kontos CK, Youness RA. Emerging role of circular RNAs in hepatocellular carcinoma immunotherapy. Int J Mol Sci. 2023;24:16484. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 157.Kara G, Calin GA, Ozpolat B. RNAi-based therapeutics and tumor targeted delivery in cancer. Adv Drug Deliv Rev. 2022;182:114113. [DOI] [PubMed] [Google Scholar]
- 158.Xu J, Zhao X, Liang X, Guo D, Wang J, Wang Q, Tang X. Development of miRNA-based protacs targeting Lin28 for breast cancer therapy. Sci Adv. 2024;10:eadp0334. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 159.Abruzzese MP, Bilotta MT, Fionda C, Zingoni A, Soriani A, Vulpis E, Borrelli C, Zitti B, Petrucci MT, Ricciardi MR, Molfetta R, Paolini R, Santoni A, Cippitelli M. Inhibition of bromodomain and extra-terminal (BET) proteins increases NKG2D ligand MICA expression and sensitivity to NK cell-mediated cytotoxicity in multiple myeloma cells: role of cMYC-IRF4-miR-125b interplay. J Hematol Oncol. 2016;9(1):134. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 160.Ajabnoor G, Alsubhi F, Shinawi T, Habhab W, Albaqami WF, Alqahtani HS, Nasief H, Bondagji N, Elango R, Shaik NA, Banaganapalli B. Computational approaches for discovering significant MicroRNAs, microRNA-mRNA regulatory pathways, and therapeutic protein targets in endometrial cancer. Front Genet. 2023;13:1105173. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 161.Yan J, Ma X, Liang D, Ran M, Zheng D, Chen X, Zhou S, Sun W, Shen X, Zhang H. An autocatalytic multicomponent DNAzyme nanomachine for tumor-specific photothermal therapy sensitization in pancreatic cancer. Nat Commun. 2023;14:6905. [DOI] [PMC free article] [PubMed] [Google Scholar] [Retracted]
- 162.Fuertes T, Álvarez-Corrales E, Gómez-Escolar C, Ubieto-Capella P, Serrano-Navarro Á, de Molina A, Méndez J, Ramiro AR, de Yébenes VG. miR-28-based combination therapy impairs aggressive B cell lymphoma growth by rewiring DNA replication. Cell Death Dis. 2023;14:687. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 163.Cubillos-Ruiz JR, Baird JR, Tesone AJ, Rutkowski MR, Scarlett UK, Camposeco-Jacobs AL, Anadon-Arnillas J, Harwood NM, Korc M, Fiering SN, Sempere LF, Conejo-Garcia JR. Reprogramming tumor-associated dendritic cells in vivo using MiRNA mimetics triggers protective immunity against ovarian cancer. Cancer Res. 2012;72(7):1683–93. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 164.Bartoszewski R, Sikorski AF. Editorial focus: Understanding off-target effects as the key to successful RNAi therapy. Cell Mol Biol Lett. 2019;24:69. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 165.Simion V, Henriet E, Juric V, Aquino R, Loussouarn C, Laurent Y, Martin F, Midoux P, Garcion E, Pichon C, Baril P. Intracellular trafficking and functional monitoring of MiRNA delivery in glioblastoma using lipopolyplexes and the MiRNA-ON RILES reporter system. J Controlled Release: Official J Controlled Release Soc. 2020;327:429–43. [DOI] [PubMed] [Google Scholar]
- 166.Usman WM, Pham TC, Kwok YY, Vu LT, Ma V, Peng B, Chan YS, Wei L, Chin SM, Azad A, He AB, Leung AYH, Yang M, Shyh-Chang N, Cho WC, Shi J, Le MTN. Efficient RNA drug delivery using red blood cell extracellular vesicles. Nat Commun. 2018;9:2359. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 167.Raju S, Botts SR, Blaser MC, Abdul-Samad M, Prajapati K, Khosraviani N, Ho TWW, Breda LCD, Ching C, Galant NJ, Fiddes L, Wu R, Clift CL, Pham T, Lee WL, Singh SA, Aikawa E, Fish JE, Howe KL. Directional endothelial communication by polarized extracellular vesicle release. Circul Res. 2024;134:269–89. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 168.Hong J, Sim D, Lee BH, Sarangthem V, Park RW. Multifunctional elastin-like polypeptide nanocarriers for efficient MiRNA delivery in cancer therapy. J Nanobiotechnol. 2024;22:293. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 169.Jiang Y, Li S, Shi R, Yin W, Lv W, Tian T, et al. A novel bioswitchable MiRNA mimic delivery system: therapeutic strategies upgraded from tetrahedral framework nucleic acid system for fibrotic disease treatment and pyroptosis pathway inhibition. Adv Sci. (Weinheim Baden-Wurttemberg Germany). 2024;11:e2305622. 10.1002/advs.202305622 [DOI] [PMC free article] [PubMed]
- 170.Samrot AV, Sean TC, Kudaiyappan T, Bisyarah U, Mirarmandi A, Faradjeva E, Abubakar A, Ali HH, Angalene JLA, Suresh Kumar S. Production, characterization and application of nanocarriers made of polysaccharides, proteins, bio-polyesters and other biopolymers: A review. Int J Biol Macromol. 2020;165Pt B:3088–105. [DOI] [PubMed] [Google Scholar]
- 171.Brand W, Noorlander CW, Giannakou C, De Jong WH, Kooi MW, Park MV, Vandebriel RJ, Bosselaers IE, Scholl JH, Geertsma RE. Nanomedicinal products: a survey on specific toxicity and side effects. Int J Nanomed. 2017;12:6107–29. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 172.Wang L, Wang X, Zhu X, Zhong L, Jiang Q, Wang Y, Tang Q, Li Q, Zhang C, Wang H, Zou D. Drug resistance in ovarian cancer: from mechanism to clinical trial. Mol Cancer. 2024;23:66. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 173.Imran K, Iqbal MJ, Abid R, Ahmad MM, Calina D, Sharifi-Rad J, Cho WC. Cellular signaling modulated by miRNA-3652 in ovarian cancer: unveiling mechanistic pathways for future therapeutic strategies. Cell Communication Signaling: CCS. 2023;21:289. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 174.Wurm, A. A., Brilloff, S., Kolovich, S., Schäfer, S., Rahimian, E., Kufrin, V., Bill,M., Carrero, Z. I., Drukewitz, S., Krüger, A., Hüther, M., Uhrig, S., Oster, S., Westphal,D., Meier, F., Pfütze, K., Hübschmann, D., Horak, P., Kreutzfeldt, S., Richter, D.,… Glimm, H. (2023). Signaling-induced systematic repression of miRNAs uncovers cancer vulnerabilities and targeted therapy sensitivity. Cell reports. Medicine, 4, 101200. [DOI] [PMC free article] [PubMed]
- 175.Nguyen LD, Wei Z, Silva MC, Barberán-Soler S, Zhang J, Rabinovsky R, Muratore CR, Stricker JMS, Hortman C, Young-Pearse TL, Haggarty SJ, Krichevsky AM. Small molecule regulators of MicroRNAs identified by high-throughput screen coupled with high-throughput sequencing. Nat Commun. 2023;14:7575. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 176.Seyhan AA. Trials and tribulations of MicroRNA therapeutics. Int J Mol Sci. 2024;25(3):1469. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 177.Safarkhani M, Saeb MR, Lee J-H, Huh YS, Rabiee N. Carbon-based nanomaterials for CRISPR/Cas delivery: A perspective on the design approach. Carbon Lett. 2024;34:387–97. [Google Scholar]
- 178.Liu YD, Chen HR, Zhang Y, Yan G, Yan HJ, Zhu Q, Peng LH. Progress and challenges of plant-derived nucleic acids as therapeutics in macrophage-mediated RNA therapy. Front Immunol. 2023;14:1255668. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 179.Zhang X, Hong R, Chen W, Xu M, Wang L. The role of long noncoding RNA in major human disease. Bioorg Chem. 2019;92:103214. [DOI] [PubMed] [Google Scholar]
- 180.Goyal B, Yadav SRM, Awasthee N, Gupta S, Kunnumakkara AB, Gupta SC. Diagnostic, prognostic, and therapeutic significance of long non-coding RNA MALAT1 in cancer. Biochim Et Biophys Acta Reviews cancer. 2021;1875:188502. [DOI] [PubMed] [Google Scholar]
- 181.Pei R, Zhao L, Ding Y, Su Z, Li D, Zhu S, Xu L, Zhao W, Zhou W. JMJD6-BRD4 complex stimulates LncRNA HOTAIR transcription by binding to the promoter region of HOTAIR and induces radioresistance in liver cancer stem cells. J Translational Med. 2023;21:752. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 182.Cho SW, Xu J, Sun R, Mumbach MR, Carter AC, Chen YG, Yost KE, Kim J, He J, Nevins SA, Chin SF, Caldas C, Liu SJ, Horlbeck MA, Lim DA, Weissman JS, Curtis C, Chang HY. Promoter of LncRNA gene PVT1 is a Tumor-Suppressor DNA boundary element. Cell. 2018;173:1398–e141222. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 183.Arun G, Diermeier SD, Spector DL. Therapeutic targeting of long Non-Coding RNAs in Cancer. Trends Mol Med. 2018;24:257–77. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 184.Gong N, Teng X, Li J, Liang XJ. Antisense Oligonucleotide-Conjugated Nanostructure-Targeting LncRNA MALAT1 inhibits Cancer metastasis. ACS Appl Mater Interfaces. 2019;11:37–42. [DOI] [PubMed] [Google Scholar]
- 185.Stojic L, Lun ATL, Mangei J, Mascalchi P, Quarantotti V, Barr AR, Bakal C, Marioni JC, Gergely F, Odom DT. Specificity of RNAi, LNA and CRISPRi as loss-of-function methods in transcriptional analysis. Nucleic Acids Res. 2018;46:5950–66. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 186.Shabna A, Bindhya S, Sidhanth C, Garg M, Ganesan TS. Long non-coding RNAs: fundamental regulators and emerging targets of cancer stem cells. Biochim Et Biophys Acta Reviews cancer. 2023;1878:188899. [DOI] [PubMed] [Google Scholar]
- 187.Chen Y, Li Z, Chen X, Zhang S. Long non-coding RNAs: from disease code to drug role. Acta Pharm Sinica B. 2021;11:340–54. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 188.Zhu KG, Yang J, Zhu Y, Zhu Q, Pan W, Deng S, He Y, Zuo D, Wang P, Han Y, Zhang HY. The microprotein encoded by Exosomal lncAKR1C2 promotes gastric cancer lymph node metastasis by regulating fatty acid metabolism. Cell Death Dis. 2023;14:708. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 189.Arab I, Park J, Shin JJ, Shin HS, Suk K, Lee WH. Macrophage LncRNAs in cancer development: Long-awaited therapeutic targets. Biochem Pharmacol. 2023;218:115890. [DOI] [PubMed] [Google Scholar]
- 190.Nan Y, Luo Q, Wu X, Chang W, Zhao P, Liu S, Liu Z. HCP5 prevents ubiquitination-mediated UTP3 degradation to inhibit apoptosis by activating c-Myc transcriptional activity. Mol Therapy: J Am Soc Gene Therapy. 2023;31:552–68. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 191.Ransohoff JD, Wei Y, Khavari PA. The functions and unique features of long intergenic non-coding RNA. Nat Rev Mol Cell Biol. 2018;19:143–57. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 192.Shaath H, Vishnubalaji R, Elango R, Kardousha A, Islam Z, Qureshi R, Alam T, Kolatkar PR, Alajez NM. Long non-coding RNA and RNA-binding protein interactions in cancer: experimental and machine learning approaches. Sem Cancer Biol. 2022;86:325–45. [DOI] [PubMed] [Google Scholar]
- 193.Elguindy MM, Mendell JT. NORAD-induced pumilio phase separation is required for genome stability. Nature. 2021;595:303–8. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 194.Montero JJ, Trozzo R, Sugden M, Öllinger R, Belka A, Zhigalova E, Waetzig P, Engleitner T, Schmidt-Supprian M, Saur D, Rad R. Genome-scale pan-cancer interrogation of LncRNA dependencies using CasRx. Nat Methods. 2024;21:584–96. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 195.Yuan J, Wang Y, Huang Y, Li S, Zhang X, Wu Z, Zhao W, Zhu J, Zhang J, Huang G, Yu P, Cheng X, Wang X, Liu X, Jia J. Investigating novel therapeutic approaches for idiopathic short stature: targeting SiRNA and growth hormone delivery to the growth plate using exosome nanoparticles. Adv Sci (Weinheim Baden-Wurttemberg Germany). 2024;11:e2309559. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 196.Bagherzadeh M, Safarkhani M, Daneshgar H, Radmanesh F, Taghavimandi F, Ghadiri AM, Kiani M, Fatahi Y, Safari-Alighiarloo N, Ahmadi S, Rabiee N. Magnetic carbon–based nanocomposite decorated with palladium complex for co-delivery of DOX/pCRISPR. J Drug Deliv Sci Technol. 2022;78:103917. [Google Scholar]
- 197.Liang DM, Li YJ, Zhang JX, Shen HH, Wu CX, Xie N, Liang Y, Li YM, Xue JN, Sun HF, Wang Q, Yang J, Li XH, Wang PY, Xie SY. m6A-methylated KCTD21-AS1 regulates macrophage phagocytosis through CD47 and cell autophagy through TIPR. Commun Biology. 2024;7:215. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 198.Bhan A, Soleimani M, Mandal SS. Long noncoding RNA and cancer: A new paradigm. Cancer Res. 2017;77:3965–81. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 199.Statello L, Guo CJ, Chen LL, Huarte M. Gene regulation by long non-coding RNAs and its biological functions. Nat Rev Mol Cell Biol. 2021;22:96–118. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 200.Jeck WR, Sharpless NE. Detecting and characterizing circular RNAs. Nat Biotechnol. 2014;32:453–61. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 201.Chen LL. The expanding regulatory mechanisms and cellular functions of circular RNAs. Nat Rev Mol Cell Biol. 2020;21:475–90. [DOI] [PubMed] [Google Scholar]
- 202.Li R, Jiang J, Shi H, Qian H, Zhang X, Xu W. CircRNA: a rising star in gastric cancer. Cell Mol Life Sci. 2020;77:1661–80. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 203.Chen X, Mao R, Su W, Yang X, Geng Q, Guo C, Wang Z, Wang J, Kresty LA, Beer DG, Chang AC, Chen G. Circular RNA circHIPK3 modulates autophagy via MIR124-3p-STAT3-PRKAA/AMPKα signaling in STK11 mutant lung cancer. Autophagy. 2020;16:659–71. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 204.Zhu YJ, Zheng B, Luo GJ, Ma XK, Lu XY, Lin XM, Yang S, Zhao Q, Wu T, Li ZX, Liu XL, Wu R, Liu JF, Ge Y, Yang L, Wang HY, Chen L. Circular RNAs negatively regulate cancer stem cells by physically binding FMRP against CCAR1 complex in hepatocellular carcinoma. Theranostics. 2019;9:3526–40. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 205.Bi J, Liu H, Dong W, Xie W, He Q, Cai Z, Huang J, Lin T. Circular RNA circ-ZKSCAN1 inhibits bladder cancer progression through miR-1178-3p/p21 axis and acts as a prognostic factor of recurrence. Mol Cancer. 2019;18:133. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 206.Zhang W, Xu C, Yang Z, Zhou J, Peng W, Zhang X, Li H, Qu S, Tao K. Circular RNAs in tumor immunity and immunotherapy. Mol Cancer. 2024;23:171. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 207.Perenkov AD, Sergeeva AD, Vedunova MV, Krysko DV. In vitro transcribed RNA-Based platform vaccines: past, present, and future. Vaccines. 2023;11(10):1600. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 208.Li J, Dong X, Kong X, Wang Y, Li Y, Tong Y, Zhao W, Duan W, Li P, Wang Y, Wang C. Circular RNA Hsa_circ_0067842 facilitates tumor metastasis and immune escape in breast cancer through HuR/CMTM6/PD-L1 axis. Biol Direct. 2023;18:48. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 209.Viralippurath Ashraf J, Sasidharan Nair V, Saleh R, Elkord E. Role of circular RNAs in colorectal tumor microenvironment. Biomed pharmacotherapy = Biomedecine Pharmacotherapie. 2021;137:111351. [DOI] [PubMed] [Google Scholar]
- 210.Ba L, Xue C, Li X, Zhang M, Yang Y, Han Q, Sun Z, Zhao RC. Gastric cancer Cell-Derived exosomes can regulate the biological functions of mesenchymal stem cells by inducing the expression of circular RNA circ_0004303. Stem Cells Dev. 2021;30(16):830–42. [DOI] [PubMed] [Google Scholar]
- 211.Zhang F, Jiang J, Qian H, Yan Y, Xu W. Exosomal circrna: emerging insights into cancer progression and clinical application potential. J Hematol Oncol. 2023;16:67. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 212.Yang Y, Li J, Li D, Zhou W, Yan F, Wang W. Humanized mouse models: A valuable platform for preclinical evaluation of human cancer. Biotechnol Bioeng. 2024;121(3):835–52. [DOI] [PubMed] [Google Scholar]
- 213.De Crignis, E., Hossain, T., Romal, S., Carofiglio, F., Moulos, P., Khalid, M. M.,Rao, S., Bazrafshan, A., Verstegen, M. M., Pourfarzad, F., Koutsothanassis, C., Gehart,H., Kan, T. W., Palstra, R. J., Boucher, C., IJzermans, J. N., Huch, M., Boj, S. F.,Vries, R., Clevers, H.,… Mahmoudi, T. (2021). Application of human liver organoids as a patient-derived primary model for HBV infection and related hepatocellular carcinoma.eLife, 10, e60747. [DOI] [PMC free article] [PubMed]
- 214.Amaya L, Grigoryan L, Li Z, Lee A, Wender PA, Pulendran B, Chang HY. Circular RNA vaccine induces potent T cell responses. Proc Natl Acad Sci USA. 2023;120:e2302191120. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 215.Hu Z, Chen G, Zhao Y, Gao H, Li L, Yin Y, Jiang J, Wang L, Mang Y, Gao Y, Zhang S, Ran J, Li L. Exosome-derived circCCAR1 promotes CD8 + T-cell dysfunction and anti-PD1 resistance in hepatocellular carcinoma. Mol Cancer. 2023;22:55. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 216.Li Y, Wang Z, Gao P, Cao D, Dong R, Zhu M, Fei Y, Zuo X, Cai J. CircRHBDD1 promotes immune escape via IGF2BP2/PD-L1 signaling and acts as a nanotherapeutic target in gastric cancer. J Translational Med. 2024;22(1):704. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 217.Khodaii Z, Mehrabani Natanzi M, Khalighfard S, Ghandian Zanjan M, Gharghi M, Khori V, Amiriani T, Rahimkhani M, Alizadeh AM. Novel targets in rectal cancer by considering lncRNA-miRNA-mRNA network in response to Lactobacillus acidophilus consumption: a randomized clinical trial. Sci Rep. 2022;12(1):9168. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 218.Hong, D. S., Kang, Y. K., Borad, M., Sachdev, J., Ejadi, S., Lim, H. Y., Brenner,A. J., Park, K., Lee, J. L., Kim, T. Y., Shin, S., Becerra, C. R., Falchook, G., Stoudemire,J., Martin, D., Kelnar, K., Peltier, H., Bonato, V., Bader, A. G., Smith, S.,… Beg,M. S. (2020). Phase 1 study of MRX34, a liposomal miR-34a mimic, in patients with advanced solid tumours. British journal of cancer, 122(11), 1630–1637. [DOI] [PMC free article] [PubMed]
- 219.Deguchi S, Ohka F, Shiba Y, Yamaguchi J, Sato A, Shinjo K, Arakawa Y, Narita Y, Kondo Y, Saito R. Investigator-initiated phase I trial of an oligonucleotide therapeutic targeting long noncoding RNA TUG 1 for recurrent glioblastoma. BMC Cancer. 2025;25(1):251. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 220.Sunagawa Y, Yamada S, Sonohara F, Kurimoto K, Tanaka N, Suzuki Y, Inokawa Y, Takami H, Hayashi M, Kanda M, Tanaka C, Nakayama G, Koike M, Kodera Y. Genome-wide identification and characterization of circular RNA in resected hepatocellular carcinoma and background liver tissue. Sci Rep. 2021;11(1):6016. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 221.Tassone, P., Di Martino, M. T., Arbitrio, M., Fiorillo, L., Staropoli, N., Ciliberto,D., Cordua, A., Scionti, F., Bertucci, B., Salvino, A., Lopreiato, M., Thunarf, F.,Cuomo, O., Zito, M. C., De Fina, M. R., Brescia, A., Gualtieri, S., Riillo, C., Manti,F., Caracciolo, D.,… Tagliaferri, P. (2023). Safety and activity of the first-in-class locked nucleic acid (LNA) miR-221 selective inhibitor in refractory advanced cancer patients: a first-in-human, phase 1, open-label, dose-escalation study. Journal of hematology & oncology, 16(1), 68. [DOI] [PMC free article] [PubMed]
- 222.Peng Y. Non-coding RNAs in human cancer. Sem Cancer Biol. 2021;75:1–2. [DOI] [PubMed] [Google Scholar]
- 223.Wang J, Zhu S, Meng N, He Y, Lu R, Yan GR. ncRNA-Encoded peptides or proteins and Cancer. Mol Therapy: J Am Soc Gene Therapy. 2019;27(10):1718–25. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 224.Lobera ES, Varela MA, Jimenez RL, Moreno RB. MiRNA as biomarker in lung cancer. Mol Biol Rep. 2023;50(11):9521–7. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 225.Balkrishna A, Mittal R, Bishayee A, Kumar AP, Bishayee A. MiRNA signatures affecting the survival outcome in distant metastasis of triple-negative breast cancer. Biochem Pharmacol. 2025;231:116683. [DOI] [PubMed] [Google Scholar]
- 226.Wu X, Tudoran OM, Calin GA, Ivan M. The many faces of long noncoding RNAs in Cancer. Antioxid Redox Signal. 2018;29(9):922–35. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 227.Poliseno L, Lanza M, Pandolfi PP. Coding, or non-coding, that is the question. Cell Res. 2024;34(9):609–29. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 228.Guo H, Zhang L, Cui X, Cheng L, Zhao T, Wang Y. SCancerRNA: expression at the Single-cell level and interaction resource of Non-coding RNA biomarkers for cancers. Genom Proteom Bioinform. 2024;22:qzae023. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 229.Zhang Y, Wang D, Peng M, Tang L, Ouyang J, Xiong F, Guo C, Tang Y, Zhou Y, Liao Q, Wu X, Wang H, Yu J, Li Y, Li X, Li G, Zeng Z, Tan Y, Xiong W. Single-cell RNA sequencing in cancer research. J Experimental Clin cancer Research: CR. 2021;40:81. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 230.Katzenelenbogen Y, Sheban F, Yalin A, Yofe I, Svetlichnyy D, Jaitin DA, Bornstein C, Moshe A, Keren-Shaul H, Cohen M, Wang SY, Li B, David E, Salame TM, Weiner A, Amit I. Coupled scRNA-Seq and intracellular protein activity reveal an immunosuppressive role of TREM2 in Cancer. Cell. 2020;182(4):872–e88519. [DOI] [PubMed] [Google Scholar]
- 231.Baran Y, Bercovich A, Sebe-Pedros A, Lubling Y, Giladi A, Chomsky E, Meir Z, Hoichman M, Lifshitz A, Tanay A. MetaCell: analysis of single-cell RNA-seq data using K-nn graph partitions. Genome Biol. 2019;20(1):206. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 232.Sánchez-Rivera, F. J., Diaz, B. J., Kastenhuber, E. R., Schmidt, H., Katti, A., Kennedy,M., Tem, V., Ho, Y. J., Leibold, J., Paffenholz, S. V., Barriga, F. M., Chu, K., Goswami,S., Wuest, A. N., Simon, J. M., Tsanov, K. M., Chakravarty, D., Zhang, H., Leslie,C. S., Lowe, S. W.,… Dow, L. E. (2022). Base editing sensor libraries for high-throughput engineering and functional analysis of cancer-associated single nucleotide variants.Nature biotechnology, 40(6), 862–873. [DOI] [PMC free article] [PubMed]
- 233.Safarkhani M, Farasati Far B, Kim SH, Makvandi P, Park MK, Huh Y, Rabiee N. Advances and challenges of sensing in water using CRISPR-Cas technology. ACS Biomaterials Sci Eng. 2024. 10.1021/acsbiomaterials.3c01689. Advance online publication. [DOI] [PubMed] [Google Scholar]
- 234.Anastasiadou E, Jacob LS, Slack FJ. Non-coding RNA networks in cancer. Nat Rev Cancer. 2018;18:5–18. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 235.Alahdal M, Elkord E. Non-coding RNAs in cancer immunotherapy: predictive biomarkers and targets. Clin Translational Med. 2023;13:e1425. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 236.Guo T, Tang XH, Gao XY, Zhou Y, Jin B, Deng ZQ, Hu Y, Xing XF, Li ZY, Ji JF. A liquid biopsy signature of Circulating exosome-derived mRNAs, MiRNAs and LncRNAs predict therapeutic efficacy to neoadjuvant chemotherapy in patients with advanced gastric cancer. Mol Cancer. 2022;21:216. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 237.Liu L, Wang Q, Qiu Z, Kang Y, Liu J, Ning S, Yin Y, Pang D, Xu S. Noncoding RNAs: the shot callers in tumor immune escape. Signal Transduct Target Therapy. 2020;5:102. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 238.Winkle M, El-Daly SM, Fabbri M, Calin GA. Noncoding RNA therapeutics - challenges and potential solutions. Nat Rev Drug Discov. 2021;20:629–51. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 239.Jahangiri S, Rahimnejad M, Nasrollahi Boroujeni N, Ahmadi Z, Motamed Fath P, Ahmadi S, et al. Viral and non-viral gene therapy using 3D (bio)printing. J Gene Med. 2022;24(12):e3458. 10.1002/jgm.3458 [DOI] [PubMed]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Supplementary Materials
Data Availability Statement
No datasets were generated or analysed during the current study.




