LINC01140 regulates osteosarcoma proliferation and invasion by targeting the miR-139-5p/HOXA9 axis

Role of long noncoding RNAs in the regulation of epithelial‑mesenchymal transition in osteosarcoma (Review)

Osteosarcoma (OS) is one of the most widespread malignant bone tissue tumors. However, its early diagnosis is difficult, leading to poor prognoses. Long noncoding RNA (lncRNA) can serve as a molecular marker for the early diagnosis and treatment of OS. lncRNAs regulate the epithelial‑mesenchymal transition (EMT) process to control the occurrence and progression of OS. The present review summarizes the studies on lncRNA regulation of OS via the EMT process. A search of the PubMed database yielded 93 published articles since January 2015, of which 73 focused on lncRNA regulation of OS via the EMT process. The present review has classified lncRNAs based on their relationship with tumors (promoting or inhibiting), mechanism of action and naming convention. Most lncRNAs promote OS through EMT and act via microRNA sponging. Previous studies have focused on lncRNAs with known functions, antisense lncRNAs and long intergenic noncoding RNAs. The findings indicated that lncRNAs can regulate the EMT process through various mechanisms to control OS progression. Further studies on specific lncRNAs and their underlying mechanisms will provide insights for the development of strategies for the diagnosis, prevention and treatment of OS.

Silibinin ameliorates deoxycholic acid-induced pyroptosis in steatotic HepG2 cells by inhibiting NLRP3 inflammasome activation

Nonalcoholic steatohepatitis (NASH) represents an inflammatory subtype of nonalcoholic fatty liver disease (NAFLD). The activation of the NOD-like receptor protein 3 (NLRP3) inflammasome triggers pyroptosis, thus propelling the progression from simple steatosis to NASH. Silibinin, a hepatoprotective compound derived from milk thistle, exerts diverse hepatoprotective effects. However, the direct impact of silibinin on NLRP3 inflammasome activation and its ability to mitigate pyroptosis remain uncertain. To address this, we utilized an in vitro model of NASH, employing HepG2 cells treated with deoxycholic acid (DCA) and free fatty acids. Subsequently, we treated these model cells with silibinin for 24 h. Our findings demonstrated that, although there were no significant changes in cellular lipid content, silibinin effectively ameliorated hepatocyte injuries. Silibinin treatment inhibited the activation of the NLRP3 inflammasome and suppressed DCA-induced pyroptosis. Additionally, molecular docking analysis revealed that silibinin exhibited a binding affinity to components of the NLRP3 inflammasome similar to that of MCC950, a selective NLRP3 inhibitor. These results suggest that silibinin may alleviate inflammation in DCA-exposed HepG2 cells by mitigating pyroptosis, possibly through its binding affinity and inhibition of the NLRP3 inflammasome. Overall, our study indicates that silibinin holds promise as a therapeutic agent for NASH by modulating pyroptosis and inhibiting NLRP3 inflammasome activation.

Genomic variants exclusively identified in children with birth defects and concurrent malignant tumors predispose to cancer development

Children with birth defects (BD) express distinct clinical features that often have various medical consequences, one of which is predisposition to the development of cancers. Identification of the underlying genetic mechanisms related to the development of cancer in BD patients would allow for preventive measures. We performed a whole genome sequencing (WGS) study on blood-derived DNA samples from 1566 individuals without chromosomal anomalies, including 454 BD probands with at least one type of malignant tumors, 767 cancer-free BD probands, and 345 healthy individuals. Exclusive recurrent variants were identified in BD-cancer and BD-only patients and mapped to their corresponding genomic regions. We observed statistically significant overlaps for protein-coding/ncRNA with exclusive variants in exons, introns, ncRNAs, and 3'UTR regions. Exclusive exonic variants, especially synonymous variants, tend to occur in prior exons locus in BD-cancer children. Intronic variants close to splicing site (< 500 bp from exon) have little overlaps in BD-cancer and BD-only patients. Exonic variants in non-coding RNA (ncRNA) tend to occur in different ncRNAs exons regardless of the overlaps. Notably, genes with 5' UTR variants are almost mutually exclusive between the two phenotypes. In conclusion, we conducted the first genomic study to explore the impact of recurrent variants exclusive to the two distinguished clinical phenotypes under study, BD with or without cancer, demonstrating enrichment of selective protein-coding/ncRNAs differentially expressed between these two phenotypes, suggesting that selective genetic factors may underlie the molecular processes of pediatric cancer development in BD children.

Roles of non-coding RNAs in the metabolism and pathogenesis of bladder cancer

Bladder cancer (BC) is featured as the second most common malignancy of the urinary tract worldwide with few treatments leading to high incidence and mortality. It stayed a virtually intractable disease, and efforts to identify innovative and effective therapies are urgently needed. At present, more and more evidence shows the importance of non-coding RNA (ncRNA) for disease-related study, diagnosis, and treatment of diverse types of malignancies. Recent evidence suggests that dysregulated functions of ncRNAs are closely associated with the pathogenesis of numerous cancers including BC. The detailed mechanisms underlying the dysregulated role of ncRNAs in cancer progression are still not fully understood. This review mainly summarizes recent findings on regulatory mechanisms of the ncRNAs, long non-coding RNAs, microRNAs, and circular RNAs, in cancer progression or suppression and focuses on the predictive values of ncRNAs-related signatures in BC clinical outcomes. A deeper understanding of the ncRNA interactive network could be compelling framework for developing biomarker-guided clinical trials.

In Silico Identification and Validation of Cuproptosis-Related LncRNA Signature as a Novel Prognostic Model and Immune Function Analysis in Colon Adenocarcinoma

Background: Colon adenocarcinoma (COAD) is the most common subtype of colon cancer, and cuproptosis is a recently newly defined form of cell death that plays an important role in the development of several malignant cancers. However, studies of cuproptosis-related lncRNAs (CRLs) involved in regulating colon adenocarcinoma are limited. The purpose of this study is to develop a new prognostic CRLs signature of colon adenocarcinoma and explore its underlying biological mechanism. Methods: In this study, we downloaded RNA-seq profiles, clinical data and tumor mutational burden (TMB) data from the TCGA database, identified cuproptosis-associated lncRNAs using univariate Cox, lasso regression analysis and multivariate Cox analysis, and constructed a prognostic model with risk score based on these lncRNAs. COAD patients were divided into high- and low-risk subgroups based on the risk score. Cox regression was also used to test whether they were independent prognostic factors. The accuracy of this prognostic model was further validated by receiver operating characteristic curve (ROC), C-index and Nomogram. In addition, the lncRNA/miRNA/mRNA competing endogenous RNA (ceRNA) network and protein−protein interaction (PPI) network were constructed based on the weighted gene co-expression network analysis (WGCNA). Results: We constructed a prognostic model based on 15 cuproptosis-associated lncRNAs. The validation results showed that the risk score of the model (HR = 1.003, 95% CI = 1.001−1.004; p < 0.001) could serve as an independent prognostic factor with accurate and credible predictive power. The risk score had the highest AUC (0.793) among various factors such as risk score, stage, gender and age, also indicating that the model we constructed to predict patient survival was better than other clinical characteristics. Meanwhile, the possible biological mechanisms of colon adenocarcinoma were explored based on the lncRNA/miRNA/mRNA ceRNA network and PPI network constructed by WGCNA. Conclusion: The prognostic model based on 15 cuproptosis-related lncRNAs has accurate and reliable predictive power to effectively predict clinical outcomes in colon adenocarcinoma patients.