Search Results (216)

The multifaceted oncogenic role of teratocarcinoma-derived growth factor 1 (TDGF1) in colon cancer remains incompletely understood. Through integrative bioinformatic and functional analyses, we identified a novel competing endogenous RNA (ceRNA) axis wherein the long non-coding RNA OLMALINC directly sponges hsa-miR-3614-5p, leading to the derepression of TDGF1. This OLMALINC/miR-3614-5p/TDGF1 axis promoted colon cancer cell proliferation, migration, invasion, and anti-apoptosis in vitro, whereas TDGF1 knockdown significantly suppressed tumor growth in vivo. Mechanistically, TDGF1 co-activated oncogenic signaling via the Thr88-dependent Nodal/Smad2 cascade and the Glypican-1-mediated MAPK/AKT pathway. Beyond cell-autonomous effects, transcriptomic and single-cell analyses revealed that elevated TDGF1 correlates with an immunosuppressive microenvironment, characterized by reduced immune infiltration and altered LGALS9-CD44 malignant-T cell communication. Clinically, high TDGF1 expression in a tissue microarray cohort was significantly associated with advanced T stage, reduced expression of specific mismatch repair proteins (MLH1/PMS2), and poor overall survival. Collectively, this study delineates the OLMALINC/miR-3614-5p/TDGF1 regulatory circuit and establishes TDGF1 as a multifaceted driver of tumor progression, highlighting its potential as a prognostic biomarker and therapeutic target in colon cancer. Full article

The biosynthesis of sex pheromones in lepidopteran pheromone glands is tightly regulated by pheromone biosynthesis-activating neuropeptide (PBAN) signaling; yet the contribution of non-coding RNA-mediated post-transcriptional regulation remains largely unclear. This study aimed to characterize temporal transcriptomic changes, candidate non-coding RNA-mediated regulatory associations, and temporal molecular dynamics underlying transcriptional remodeling after PBAN treatment in Ostrinia furnacalis. First, we performed comprehensive whole-transcriptome sequencing (WTS) on 18 biologically independent samples collected at six time points (0, 20, 40, 60, 90, and 120 min) after PBAN injection. Then, we systematically identified and quantified the dynamic expression patterns of differentially expressed (DE) mRNAs, miRNAs, lncRNAs, and circRNAs in response to PBAN stimulation. By integratively analyzing these multidimensional omics datasets and inferring sequence-based interaction relationships, we inferred a dynamic candidate competing endogenous RNA (ceRNA) like regulatory network. The candidate ceRNA network anchored four core node genes: the PBAN receptor (PBANR), the rate-limiting enzyme acetyl-CoA carboxylase (ACC), and the terminal biosynthetic enzymes desaturase (DES) and fatty acyl-CoA reductase (FAR). The qRT-PCR results further support the temporal expression pattern of key genes during the PBAN response, suggesting that this network can provide a valuable resource for further functional studies. Full article

The northern pike (Esox lucius) is an economically important cold-water fish species in northern China. It exhibits pronounced sexual dimorphism, yet the molecular mechanism underlying its sex differentiation remains unclear, which hinders the development of aquaculture. Whole-transcriptome sequencing is a powerful approach for screening sex-related genes; however, no such study has been reported for this species to date. In this study, gonadal tissues from three female and three male E. lucius were collected for whole-transcriptome sequencing. A total of 14,941 differentially expressed messengerRNAs, 119 differentially expressed microRNAs, 229 differentially expressed circularRNAs, and 2055 differentially expressed long non-codingRNAs were identified. Functional enrichment analysis revealed that the differentially expressed genes were significantly enriched in pathways closely associated with sex differentiation, such as steroid hormone biosynthesis and oocyte meiosis. Several key sex-biased genes were identified, including female-biased genes (FANCL, DDX5, SRSF5B) and male-biased genes (STAR, FDX1B, ITGA2B). Furthermore, a competing endogenous RNA (ceRNA) regulatory network involving dre-miR-107b was constructed, which may represent a candidate for further investigation into sex differentiation in E. lucius. This study provides the first comprehensive whole-transcriptome dataset of female and male gonads in E. lucius, identifies key sex-biased genes and core pathways involved in its sex differentiation, and thereby identifies the dre-miR-107b-centered ceRNA network and key sex-biased genes (FANCL, DDX5, SRSF5B, STAR, FDX1B, ITGA2B) as core molecular players in sex differentiation of this species. Full article

Background: Triple-negative breast cancer (TNBC) remains a clinical challenge due to its aggressive nature and the frequent emergence of therapeutic resistance. While the role of protein-coding genes in DNA repair is well-documented, the regulatory contributions of the non-coding genome, specifically long intergenic non-coding RNAs (lincRNAs), remain largely undefined. Objectives: In this study, we characterize the biological significance of LincRNA-BC7, a novel transcript identified within the breast cancer field effect. Methods: Through a combined in silico and in vitro approach, we investigated the transcriptional dynamics of the LincRNA-BC7/miR-663a/BRCA1 axis in response to the PARP inhibitor, Olaparib. Results: Our results demonstrate that Olaparib induces selective cytotoxicity in BRCA1-deficient MDA-MB-231 cells while sparing non-cancerous HEK293 cells, a response accompanied by a significant downregulation of LincRNA-BC7 and a reciprocal upregulation of BRCA1. Bioinformatics analysis through BLASTN, miRBase, and KEGG revealed that LincRNA-BC7 contains highly complementary binding sites for miR-663a, suggesting it functions as a competing endogenous RNA (ceRNA) or “molecular sponge.” Conclusions: By sequestering miR-663a, LincRNA-BC7 appears to modulate the expression of critical signaling nodes within the PI3K-AKT and TP53 pathways, thereby influencing cellular sensitivity to DNA-damaging agents. These findings suggest that LincRNA-BC7 is a key determinant of the aggressive TNBC phenotype and the response to PARP inhibition. Our study establishes the LincRNA-BC7/miR-663a axis as a novel biomarker for precision risk stratification and a promising therapeutic target to enhance treatment outcomes in BRCA1-associated breast cancers. Full article

Ascosphaera apis, an obligate lethal fungal pathogen that infects bee larvae, and causes chalkbrood disease, poses a significant threat to the global beekeeping industry. Long non-coding RNAs (lncRNAs) are employed by pathogens to enhance infectivity and evade host immunity. Here, lncRNAs in A. apis spores (AaCK group) and the guts of 4-, 5-, and 6-day-old Apis cerana cerana worker larvae inoculated with A. apis spores (AaT1, AaT2, and AaT3 groups) were identified, characterized, and validated. Additionally, the expression pattern of fungal lncRNAs during infection was analyzed, followed by an investigation of the regulatory manners and roles of differentially expressed lncRNAs (DElncRNAs). A total of 1379 lncRNAs were identified in AaCK, AaT1, AaT2, and AaT3 groups using bioinformatics, involving various types such as sense lncRNAs, antisense lncRNAs, bidirectional lncRNAs, intergenic lncRNAs, and intronic lncRNAs. Additionally, 4, 9, and 75 up-regulated lncRNAs as well as 2, 1, and 15 down-regulated ones were identified in the 4-, 5-, and 6-day-old larval guts following A. apis inoculation. Fifteen DElncRNAs as potential antisense lncRNAs may interact with 15 sense-strand mRNAs in the AaCK vs. AaT3 comparison group. Cis-acting analysis identified 10, 16, and 136 upstream and downstream genes of DElncRNAs in the aforementioned comparison groups, involving a series of GO terms and KEGG pathways like metabolic process and biosynthesis of secondary metabolites. Following the trans-acting investigation, 752, 821, and 1327 co-transcribed genes with DElncRNAs were discovered, spanning an array of functional terms and pathways such as biological processes and glycerophospholipid metabolism. Analysis of a competing endogenous RNA (ceRNA) network indicated that 1 and 5 DElncRNAs in the AaCK vs. AaT1 and AaCK vs. AaT3 comparison groups potentially targeted 1 and 2 miRNAs, further targeting 208 and 286 mRNAs, respectively. Further analysis identified one ceRNA axis relevant to the MAPK signaling pathway and several ceRNA networks associated with the biosynthesis of secondary metabolites. Finally, RT-qPCR results confirmed that the expression trends of six randomly selected DElncRNAs were consistent with those in the transcriptome data. These findings not only offer a foundation for elucidating the mechanisms underlying DElncRNA-mediated A. apis infection but also enrich our understanding of honeybee host–fungal pathogen interactions. Full article

Background/Objectives: Over the past two decades, non-coding RNAs (ncRNAs) have emerged as key regulators of gene expression, reshaping the classical view of the genome as predominantly protein-coding. Among them, microRNAs (miRNAs) and long non-coding RNAs (lncRNAs) play central roles in controlling gene expression at multiple levels. Rather than acting independently, these molecules form complex and interconnected regulatory networks, and their interplay appears particularly relevant in cancer. This review aims to examine the mechanisms underlying miRNA-lncRNA cross-regulation and to explore their functional and clinical implications in tumor biology. Methods: We performed a comprehensive analysis of the current literature focusing on studies investigating miRNA-lncRNA interactions in cancer. Particular attention was given to mechanistic insights, including the competing endogenous RNA (ceRNA) hypothesis, as well as alternative regulatory models involving direct RNA interactions and chromatin-associated processes. Results: miRNA-lncRNA interactions have been associated with cancer progression and therapeutic response across different tumor types, although their mechanisms are highly context-dependent. While the ceRNA hypothesis, based on competition for shared microRNA response elements (MREs), provides a useful framework, it does not fully explain all observed phenomena. Evidence shows that miRNAs can directly regulate lncRNA stability, whereas lncRNAs can influence miRNA biogenesis. Additionally, chromatin-related mechanisms suggest that these interactions extend beyond post-transcriptional regulation. These RNA networks intersect with major oncogenic pathways, including PI3K/AKT/mTOR signaling, hypoxia responses, and epigenetic regulators such as EZH2, thereby affecting key cancer processes such as proliferation, epithelial–mesenchymal transition (EMT), and metabolic reprogramming. From a clinical perspective, the stability of ncRNAs in biological fluids highlights their potential as biomarkers. Combined miRNA-lncRNA signatures may improve diagnostic and prognostic accuracy compared to single markers, although further validation is required. Therapeutic strategies targeting ncRNA networks, such as miRNA mimics, antagomiRs, and lncRNA-directed approaches, are under investigation; however, challenges related to delivery, specificity, and toxicity remain. Conclusions: miRNA-lncRNA cross-regulation represents a complex and multifaceted layer of gene regulation in cancer. A deeper understanding of these interactions could support the development of more accurate diagnostic tools and more effective RNA-based therapeutic strategies, although significant technical and biological challenges still need to be addressed. Full article

We investigated the expression profiles and functions of CircRNAs in the longissimus dorsi muscle of Datong yaks at different developmental stages, with the aim of clarifying their regulatory roles in skeletal muscle development. Samples of longissimus dorsi muscle were collected from Datong yaks at three developmental stages: 90-day-old fetuses, 6-month-old juveniles, and 3-year-old adults. High-throughput RNA sequencing was performed to identify CircRNAs. Differential expression analysis, along with GO and KEGG enrichment analyses, was conducted. A competing endogenous RNA (ceRNA) regulatory network was subsequently constructed to screen for core CircRNAs. A total of 17,027 CircRNAs were identified, with 6821 being differentially expressed. These differentially expressed CircRNAs showed significant enrichment in skeletal muscle development-related functions, such as sarcomere and calcium ion homeostasis, and were involved in key pathways, including the FoxO (Forkhead box O) and calcium signaling pathways. Construction of the ceRNA network revealed 20 core CircRNAs (e.g., CircRNA_10402 and CircRNA_15445), which may modulate the expression of 84 mRNAs by competing for binding with 42 miRNAs. This study preliminarily reveals the dynamic regulatory network of CircRNAs during skeletal muscle development in Datong yaks, providing new theoretical insights for understanding the molecular mechanisms underlying yak muscle development and for molecular breeding. Full article

Bovine mastitis causes significant economic losses in the dairy industry. Emerging evidence highlights the critical role of long non-coding RNAs (lncRNAs) in inflammation-associated epigenetic regulation through competing endogenous RNA (ceRNA) networks. In this study, we established a bovine mastitis model in three healthy primiparous Holstein cows by intramammary infection with S. aureus. Infected and control mammary tissue samples were then collected for transcriptomic profiling, which identified 2005 differentially expressed lncRNAs. Among them, BMNCR was significantly upregulated in S. aureus-infected mammary tissues and S. aureus-stimulated BMECs. We evaluated the coding potential of BMNCR and confirmed its non-coding nature. Functional studies in BMECs demonstrated that knockdown of BMNCR suppressed proliferation, promoted apoptosis, and altered the expression of inflammatory factors, including IL-2, IL-6, IL-8, and IL-12. Mechanistically, BMNCR acted as a sponge for bta-miR-145, thereby leading to the derepression of ANO6. Silencing ANO6 partly recapitulated the effects of BMNCR knockdown, impairing proliferation and increasing IL-8 expression. Collectively, these findings suggest that the BMNCR/miR-145/ANO6 axis is involved in the regulation of inflammatory responses and epithelial homeostasis during bovine mastitis, with BMNCR functioning as a protective regulator in this process. Full article

Oral squamous cell carcinoma (OSCC) remains a major cause of cancer-related morbidity and mortality, and reliable biomarkers for early diagnosis and risk stratification are still lacking. Long non-coding RNAs (lncRNAs) and microRNAs (miRNAs) can regulate gene expression through competing endogenous RNA (ceRNA) interactions, but OSCC-specific ceRNA axes with clinical relevance are still poorly defined. We integrated lncRNA, miRNA, and mRNA expression data from six OSCC-related datasets in the Gene Expression Omnibus with in silico interaction predictions to construct an OSCC-focused ceRNA network and examine its association with survival. The resulting network comprised 8 mRNAs, 22 miRNAs, and 12 lncRNAs. Within this network, we identified a previously unrecognized XIST–miRNA–ZNF662 axis that has not been characterized in OSCC. ZNF662 was consistently downregulated in tumors, and higher ZNF662 expression was associated with improved survival in an independent head and neck squamous cell carcinoma cohort. Components of the XIST–miRNA–ZNF662 axis also showed excellent diagnostic performance for distinguishing OSCC from normal samples across (Gene Expression Omnibus) GEO datasets, highlighting a ceRNA module with promising diagnostic and prognostic potential that could be explored further in non-invasive biofluids. Full article

Ankylosing spondylitis (AS) is a chronic immune-mediated inflammatory disease affecting the axial skeleton, characterized by progressive structural damage and functional impairment. Although biologic therapies targeting tumor necrosis factor and interleukin-17 have improved clinical outcomes, a substantial proportion of patients fail to achieve sustained disease control. Emerging evidence suggests that metabolic alterations may contribute to AS pathogenesis; however, systematic characterization of metabolism-related biomarkers and their regulatory networks remains limited, and the interplay between metabolic dysfunction and immune dysregulation in AS is poorly understood. Two whole-blood GEO datasets (GSE25101, GSE73754; n = 104) were integrated as the primary analytical cohort. A third dataset (GSE11886, n = 18; monocyte-derived macrophages) was included for exploratory cross-tissue analysis. Differential expression analysis identified 847 DEGs, which were refined to 16 metabolism-related genes through weighted gene co-expression network analysis (WGCNA) and GeneCards database filtering. Eleven machine learning algorithms with 5-fold cross-validation were applied to construct diagnostic models and identify hub genes. Validation analyses included immune cell infiltration estimation using CIBERSORT, metabolic pathway activity assessment via ssGSEA, single-cell transcriptomics from GSE268839, functional enrichment through GSEA/GSVA, and chromosomal localization analysis. A competing endogenous RNA (ceRNA) regulatory network was constructed to map post-transcriptional regulation. Natural compounds from 66 AS-treating traditional Chinese medicines were screened against hub genes using deep learning-based binding prediction. Multiple machine learning algorithms achieved comparable cross-validated performance (CV AUC range 0.741–0.836; top five models: 0.805–0.836) using the six hub genes (MFN2, SLC27A3, RHOB, SMG7, AKR1B1, LCOR) identified through SHAP-based feature importance analysis of the PLS model. Leave-one-dataset-out validation between the two whole-blood cohorts showed that all algorithms exceeded an AUC of 0.77 in Round 1 (validate: GSE73754, n = 72; best AUC 0.861), while Round 2 (validate: GSE25101, n = 32) yielded more modest performance (best AUC, 0.715) reflecting the smaller validation sample. Exploratory application to GSE11886 (macrophage-derived samples) showed near-chance performance, consistent with the tissue-source discrepancy. AS patients exhibited significant downregulation of oxidative phosphorylation, TCA cycle, and glycolysis pathways (p < 0.01), accompanied by elevated glutathione metabolism (p < 0.001). Immune cell deconvolution revealed reduced CD8+ T cell proportions correlating with MFN2 downregulation, and increased neutrophil frequencies correlating with SLC27A3 upregulation. Exploratory single-cell analysis indicated that RHOB expression was relatively enriched in border-associated macrophages and fibroblasts, while AKR1B1 was more prominently expressed in vascular endothelial cells and plasmacytoid dendritic cells. The ceRNA network identified 21 miRNAs and 65 lncRNAs forming 86 regulatory interactions, with four key regulatory axes (SATB1-AS1/miR-539-5p/LCOR, FAM95B1/miR-223-3p/RHOB, LINC01106/miR-106a-5p/MFN2, AATBC/miR-185-5p/SMG7) predicted to regulate hub gene expression. Compound screening identified betaine, pyruvic acid, citric acid, etc., as top-ranking candidates, with MFN2 showing the highest binding capacity among hub genes. This study provides an integrative framework linking metabolic reprogramming with immune dysfunction in AS. The six-gene diagnostic signature showed preliminary discriminatory ability in the available datasets, while the ceRNA regulatory network and natural compound screening results prioritize candidate regulatory pathways and compounds for future validation. These findings advance our understanding of AS pathogenesis and may guide future biomarker development and targeted intervention strategies. Full article

This study aimed to investigate the molecular mechanisms underlying dopaminergic injury induced by gestational and lactational atrazine (ATR) exposure in rat offspring, with a particular focus on non-coding RNA-mediated regulation. Pregnant rats were exposed to ATR during gestation and lactation. Offspring underwent behavioral testing at postnatal day 21 (PND21) and were sacrificed for midbrain tissue collection at PND28. Behavioral alterations, histopathological changes in the substantia nigra, and dopaminergic marker expression were assessed to evaluate ATR-induced neurotoxicity. Whole-transcriptome sequencing was then performed to identify differentially expressed mRNAs, miRNAs, and lncRNAs, followed by co-expression, protein–protein interaction, and competing endogenous RNA (ceRNA) network analyses. Key targets were validated by qRT-PCR. Candidate molecules identified from transcriptomic and ceRNA analyses were further examined in an ATR-induced neurotoxicity model established in RA-differentiated SK-N-SH cells. Dual-luciferase reporter, Ago2-RNA immunoprecipitation, and biotin-labeled RNA pull-down assays were used to examine putative binding relationships and molecular interactions. In addition, lentivirus-mediated Elavl4 overexpression was performed to further evaluate the role of this candidate regulator in ATR-induced Nurr1 downregulation. Gestational and lactational ATR exposure induced significant behavioral abnormalities in rat offspring. These changes were accompanied by histopathological alterations in the substantia nigra, including reduced TH immunoreactivity, as well as abnormal expression of dopaminergic markers, characterized by decreased TH and Nurr1 levels and increased α-syn expression. Together, these findings indicate the presence of dopaminergic injury. Whole-transcriptome analysis further revealed widespread dysregulation of mRNAs, miRNAs, and lncRNAs in ATR-exposed offspring. Subsequent integrative analysis suggested a potential ceRNA regulatory relationship among Elavl4, miR-301a-5p, and Nurr1, which was further supported by qRT-PCR. Dual-luciferase reporter, RIP, and RNA pull-down assays supported direct interactions between miR-301a-5p and both Elavl4 and Nurr1, as well as their association with the Ago2-containing silencing complex. Moreover, Elavl4 overexpression partially reversed ATR-induced Nurr1 downregulation in vitro. Gestational and lactational ATR exposure induced behavioral abnormalities and dopaminergic injury in rat offspring. Whole-transcriptome analysis combined with experimental validation suggests a potential association between the Elavl4/miR-301a-5p/Nurr1 ceRNA axis and ATR-induced dopaminergic injury, providing insight into the post-transcriptional mechanisms underlying developmental neurotoxicity. Full article

Background: Sirtuin 1 (Sirt1) is known to regulate stem cell differentiation and cardiomyocyte function, yet its specific role and mechanism in human embryonic stem cell (hESC) differentiation into cardiomyocytes remain unclear. This study aimed to elucidate the functional contribution and molecular pathway of Sirt1 in cardiomyogenesis. Methods: A Sirt1 knockout (Sirt1⁻/⁻) hESC line was generated using CRISPR-Cas9 technology. The expression of key differentiation markers was analyzed by RT-qPCR at days 6, 8, and 9. The underlying mechanism was investigated through integrated RNA-sequencing (RNA-seq) analysis and dual-luciferase reporter assays. Results: Sirt1 deletion significantly downregulated the expression of mesodermal (TBX6, KDR), cardiac precursor (NKX2.5, TBX5), and mature cardiomyocyte (cTNT, Hand2) markers. Mechanistically, a competing endogenous RNA (ceRNA) axis, LncRNA XR_951230.1/miR-3663-3p/SMYD1, was identified. Sirt1 knockout reduced XR_951230.1 expression, which consequently elevated miR-3663-3p activity and suppressed its target gene SMYD1. Conclusions: These findings indicate that Sirt1 is essential for promoting hESC differentiation into cardiomyocytes, potentially via the XR_951230.1/miR-3663-3p/SMYD1 pathway. This study provides new insights into the regulatory network of stem cell-based cardiomyogenesis and suggests potential targets for stem cell-based cardiac disease therapy. Full article

Alzheimer’s disease (AD) is an aging-associated neurodegenerative disorder in which dysregulated neuroinflammation drives disease progression. Although long noncoding RNAs (lncRNAs) are increasingly implicated in AD, their mechanistic roles remain poorly defined. Here, we identified a novel lncRNA termed LIMASI (LncRNA Inflammation and Mucous associated, Antisense to ICAM1), that is linked with AD-associated neuroinflammation. LIMASI expression is significantly elevated in postmortem AD brain tissues and in a 3xTg-AD mouse model by qPCR and RNA fluorescence in situ hybridization, and its upregulation is correlated with increased β-amyloid plaque burden, tau hyperphosphorylation, and heightened neuroinflammatory activation. Cell type-specific analyses demonstrated inflammation-inducible LIMASI expression in astrocytes and microglia. In an in vitro model of AD-associated neuroinflammation, viral mimetic poly(I:C) challenge of amyloid precursor protein (APP)-overexpressing neuroblastoma cells elicited coordinated induction of LIMASI and key inflammatory mediators. Mechanistically, we observed elevated levels of inflammatory microRNAs (miR-155-5p and miR-150-5p) in AD brain tissues, and computational modeling predicted energetically favorable interactions between these miRNAs and LIMASI. These findings support a competing endogenous RNA (ceRNA) model in which LIMASI sequesters pro-inflammatory miRNAs to modulate neuroinflammatory gene networks. Together, our data identify LIMASI as a putative ceRNA strongly associated with AD-related neuroinflammation and suggest that targeting LIMASI may represent a novel strategy to attenuate neuroinflammatory signaling and potentially slow AD-associated neurodegeneration. Full article

Gastric cancer (GC), also known as stomach adenocarcinoma (STAD), remains a highly lethal malignancy due to late diagnosis, limited therapeutic efficacy, and frequent metastasis. Although extensive molecular profiling has been performed, post-transcriptional regulatory mechanisms underlying GC progression are still incompletely characterized. In this study, we applied an integrative multi-omics framework to elucidate the regulatory roles and clinical relevance of circular RNAs (circRNAs) in GC. Transcriptomic data of mRNAs, microRNAs, and circRNAs from eight independent GEO datasets were jointly analyzed, resulting in the identification of 249 differentially expressed genes (DEGs), 8 differentially expressed microRNAs (DEmiRNAs), and 4 differentially expressed circRNAs (DEcircRNAs). These molecules were integrated into a competing endogenous RNA (ceRNA) network, enabling systems-level characterization of GC-associated regulatory interactions. Network topology and survival analyses prioritized 13 hub molecules, including IGF2BP3, COL4A1, MMP14, and TGM2, which showed both central network positions and significant associations with patient survival. To explore therapeutic implications, transcriptomics-guided drug repositioning combined with molecular docking analysis identified five candidate compounds—celastrol, fedratinib, pevonedistat, tozasertib, and withaferin A—predicted to target key network hubs. Overall, this in silico study provides a ceRNA-centered regulatory framework for GC and prioritizes biologically informed biomarkers and repositioned drug candidates with potential applicability across other malignancies to converge precision oncology. Full article

Extracellular matrix (ECM) stiffening is a defining biophysical feature of solid tumors that reshape gene regulation through mechanotransduction. Increased collagen crosslinking and stromal remodeling enhance integrin engagement, focal-adhesion signaling and force transmission to the nucleus, where key hubs such as lysyl oxidase (LOX), focal adhesion kinase (FAK) and the Hippo co-activators YAP1 and TAZ (WWTR1) promote proliferation, invasion, stemness and therapy resistance. Here, we synthesize evidence that quantitative changes in matrix stiffness remodel the miRNome and lncRNome in both tumor and stromal compartments, including extracellular vesicle cargo that reprograms metastatic niches. To address heterogeneity in experimental support, we classify mechanosensitive ncRNAs into studies directly validated by stiffness manipulation (e.g., tunable hydrogels/AFM) versus indirect associations based on mechanosensitive signaling, and we summarize physiological versus pathophysiological stiffness ranges across tissues discussed. We further review competing endogenous RNA (ceRNA) networks converging on mechanotransduction nodes and ECM remodeling enzymes, and discuss translational opportunities and challenges, including targeting mechanosensitive ncRNAs, combining ncRNA modulation with anti-stiffening strategies, delivery barriers in dense tumors, and the potential of circulating/exosomal ncRNAs as biomarkers. Overall, integrating ECM mechanics with ncRNA regulatory circuits provides a framework to identify feed-forward loops sustaining aggressive phenotypes in rigid microenvironments and highlights priorities for validation in physiologically relevant models. Full article