Prognostic Roles of ceRNA Network-Based Signatures in Gastrointestinal Cancers

Comprehensive analysis of the LINC01122/TPD52 axis as a predictive biomarker in prostate adenocarcinoma

Prostate cancer (PCa) ranks among the most prevalent malignant tumors worldwide. The pivotal role of competitive endogenous RNA (ceRNA) regulatory networks in numerous cancer types has been underscored. However, the specific characteristics of the ceRNA network in PCa remained unknown. This study aims to elucidate the ceRNA regulatory network associated with phosphatase and tensin homolog (PTEN) and to identify potential prognostic markers for PCa. The Cancer Genome Atlas (TCGA) database was employed to extract the expression patterns of long non-coding RNAs (lncRNAs), microRNAs (miRNAs), and messenger RNAs (mRNAs). LINC01122-hsa-miR-34c-5p/hsa-miR-449a-TPD52 ceRNA network regarding the prognosis of PCa was explored via bioinformatics analysis. Through correlation analysis, we investigated the LINC01122/TPD52 axis within the ceRNA network, identifying it as a significant clinical prognostic marker for PCa. Subsequent analyses indicated that hypomethylation was responsible for the abnormal upregulation of the LINC01122/TPD52 axis. Furthermore, immune infiltration analysis revealed the impact of the LINC01122/TPD52 axis on the tumor immune microenvironment and the progression of PCa. Finally, a nomogram was constructed to forecast the 1-year, 3-year, and 5-year survival probabilities of PCa patients. In summary, our study demonstrates the significant role of the ceRNA-based LINC01122/TPD52 axis in the progression of PCa and its correlation with prognosis.

Cell Cycle-Based Molecular Features via Synthetic Lethality and Non-Coding RNA Interactions in Cancer

BACKGROUND

The cell cycle, a critical and intricate biological process, comprises various phases, and its dysregulation plays a pivotal role in tumorigenesis and metastasis. The exploration of cell cycle-based molecular subtypes across pan-cancers, along with the application of synthetic lethality concepts, holds promise for advancing cancer therapies.

METHODS

A pan-cancer analysis was conducted to assess the cell cycle serves as a reliable signature for classifying molecular subtypes and to understand the potential clinical application of genes as potential drug targets based on synthetic lethality.

RESULTS

Molecular subtypes derived from cell cycle features in certain cancers, particularly kidney-related malignancies, exhibited distinct immune characteristics. Synthetic lethal interactions within the cell cycle pathway were common, with significant genetic interactions further identifying potential drug targets through the exploitation of genetic relationships with key driver genes. Additionally, miRNAs and lncRNAs may influence the cell cycle through miRNA:mRNA interactions and ceRNA networks, thereby enriching the genetic interaction landscape.

CONCLUSIONS

These findings suggest that the cell cycle pathway could serve as a promising molecular subtype signature to enhance cancer prognostication and offer potential targets for anticancer drug development through synthetic lethality.

Low-Grade Chronic Inflammation: a Shared Mechanism for Chronic Diseases

Inflammation is an important physiological response of the organism to restore homeostasis upon pathogenic or damaging stimuli. However, the persistence of the harmful trigger or a deficient resolution of the process can evolve into a state of low-grade, chronic inflammation. This condition is strongly associated with the development of several increasingly prevalent and serious chronic conditions, such as obesity, cancer, and cardiovascular diseases, elevating overall morbidity and mortality worldwide. The current pandemic of chronic diseases underscores the need to address chronic inflammation, its pathogenic mechanisms, and potential preventive measures to limit its current widespread impact. The present review discusses the current knowledge and research gaps regarding the association between low-grade chronic inflammation and chronic diseases, focusing on obesity, cardiovascular diseases, digestive diseases, and cancer. We examine the state of the art in selected aspects of the topic and propose future directions and approaches for the field.

The Masquelet technique triggers the formation of a network involving LncRNA, circRNA, miRNA, and mRNA during bone repair

BACKGROUND

The ceRNA network, which is competitive endogenous RNA, uncovers a fresh mechanism of RNA interaction and holds significant importance in diverse biological processes. The aim of this study is to investigate the molecular process of induced membrane (IM) formation in bone defects using the Masquelet's induced membrane technique (MIMT), in order to offer novel insights and a theoretical foundation for enhancing the treatment of bone defects with MIMT.

METHODS

In this work, we identified differentially expressed mRNAs (DEGs), lncRNAs (DELs), circRNAs (DECs), and miRNAs (DEMs). To explore the primary functions of the shared DEGs, we utilized Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analyses. Next, predictions were made for lncRNA-miRNA and miRNA-mRNA interactions, and the Cytoscape software was utilized to construct the regulatory network for ceRNA.

RESULTS

By integrating GO and KEGG enrichment analysis, a total of 385 differentially expressed genes (DEGs) were discovered in the samples from the MIMT-treated group. Additionally, after re-annotating the probes and intersecting two sets of differently expressed miRNAs, 1304 differentially expressed lncRNAs (DELs) and 23 differentially expressed circRNAs (DECs) were identified. Furthermore, 13 differentially expressed miRNAs (DEMs) were obtained. Moreover, utilizing the anticipated objectives of DEMs, we acquired 1203 pairs of lncRNA-miRNA-mRNA interactors (comprising 24 lncRNAs, 10 miRNAs, and 115 mRNAs) and 250 pairs of circRNA-miRNA-mRNA interactions (comprising 7 circRNAs, 9 miRNAs, and 115 mRNAs). CEBPA, DGAT2, CDKN1A, PLIN2, and CIDEC were identified as the five hub proteins in the PPI network. LncRNA/circRNA-hsa-miR-671-5p could potentially regulate the primary central protein, CEBPA.

CONCLUSIONS

In this study, we described the potential regulatory mechanism of the MIMT in treating bone defects. We proposed a new lncRNA-miRNA-mRNA ceRNA network that could help further explore the molecular mechanisms of bone repair.

Circ_0124346 facilitates cell proliferation of pancreatic adenocarcinoma cells by regulating lipid metabolism via miR-223-3p/ACSL3 axis

BACKGROUND

Both lipid metabolism and cyclic RNAs (circRNAs) have been found to be involved in pancreatic adenocarcinoma (PAAD) progression, but the relationship between lipid metabolism and circRNAs remains unclear.

METHODS

The expression levels of miR-223-3p, circ_0124346, and acyl-CoA synthetase long chain family member 3 (ACSL3) were determined through qRT-PCR and Western blot analysis. Cell proliferation was evaluated using the CCK-8 and EdU incorporation assays. Cholesterol (CH) and triglyceride (TG) levels were quantified using relevant kits. The relationships between miR-223-3p and circ_0124346 or ACSL3 mRNA were examined by bioinformatics analysis, luciferase reporter, RNA-RNA pull-down, and RIP assays.

RESULTS

We observed a significant elevation in circ_0124346 expression in both pancreatic adenocarcinoma (PAAD) tissues and cell lines, and its expression level was shown to be correlated with tumor size. Circ_0124346 stimulated cell proliferation and facilitated lipid synthesis in PAAD cells. Additionally, we found that circ_0124346 functioned as a sponge for miR-223-3p, preventing miR-223-3p's binding to the 3'-UTR of ACSL3 mRNA, which subsequently led to an elevation in ACSL3 expression and promoted lipid synthesis. Accordingly, circ_0124346 knockdown resulted in a significant decrease in lipid synthesis and cell proliferation in PAAD cells, with partial reversal of these effects achieved via inhibiting miR-223-3p or overexpressing ACSL3.

CONCLUSION

Our study demonstrated that circ_0124346 regulates lipid metabolism in PAAD cells via the miR-223-3p/ACSL3 axis, suggesting that targeting circ_0124346 may serve as a potential strategy for treating PAAD and assisting in its diagnosis.

Unveiling the Network regulatory mechanism of ncRNAs on the Ferroptosis Pathway: Implications for Preeclampsia

Non-coding RNAs (ncRNAs) are transcripts originating from the genome that do not serve as templates for protein synthesis. They function as epigenetic and translational regulators in various pathophysiological mechanisms, including cell proliferation and apoptosis. The ferroptosis signaling pathway, a novel mode of cell death, participates in numerous pathophysiological processes. Its signaling transmission is both complex and precise, featuring interconnected and interdependent pathways. Recent studies suggest that ncRNAs can finely regulate key genes in the ferroptosis pathway, thus modulating cellular functions, reducing oxidative stress, and maintaining maternal-fetal interface homeostasis. Future strategies targeting the ncRNA/ferroptosis axis may provide new perspectives and potential intervention points for treating preeclampsia. This article clarifies how the ncRNA/ferroptosis axis impacts preeclampsia, revealing how ncRNAs interact with ferroptosis, and pinpointing new molecular targets for the treatment of preeclampsia, thereby providing theoretical support for clinical strategies.

Bioinformatics Analysis and Validation of Potential Markers Associated with Prediction and Prognosis of Gastric Cancer

Gastric cancer (GC) is one of the most common cancers worldwide. Most patients are diagnosed at the progressive stage of the disease, and current anticancer drug advancements are still lacking. Therefore, it is crucial to find relevant biomarkers with the accurate prediction of prognoses and good predictive accuracy to select appropriate patients with GC. Recent advances in molecular profiling technologies, including genomics, epigenomics, transcriptomics, proteomics, and metabolomics, have enabled the approach of GC biology at multiple levels of omics interaction networks. Systemic biological analyses, such as computational inference of "big data" and advanced bioinformatic approaches, are emerging to identify the key molecular biomarkers of GC, which would benefit targeted therapies. This review summarizes the current status of how bioinformatics analysis contributes to biomarker discovery for prognosis and prediction of therapeutic efficacy in GC based on a search of the medical literature. We highlight emerging individual multi-omics datasets, such as genomics, epigenomics, transcriptomics, proteomics, and metabolomics, for validating putative markers. Finally, we discuss the current challenges and future perspectives to integrate multi-omics analysis for improving biomarker implementation. The practical integration of bioinformatics analysis and multi-omics datasets under complementary computational analysis is having a great impact on the search for predictive and prognostic biomarkers and may lead to an important revolution in treatment.

Whole-transcriptome profiling reveals potential biomarkers for the reversal of thymic epithelial cell senescence by umbilical cord mesenchymal stem cells

BACKGROUND

Reduced numbers and dysfunction of thymic epithelial cells (TECs) are important factors of thymic degeneration. Previous studies have found that umbilical cord mesenchymal stem cells (UCMSCs) reverse the structure and function of the senescent thymus in vivo. However, the transcriptomic regulation mechanism is unclear.

METHODS

TECs were cultured with H2O2 for 72 hours to induce senescence. UCMSCs were cocultured with senescent TECs for 48 hours to detect SA-β-gal, P16 and Ki67. The cocultured TECs were collected for lncRNA, mRNA and miRNA sequencing to establish a competitive endogenous regulatory network (ceRNA). And RT-qPCR, immunofluorescence staining, and western blot were used to identified key genes.

RESULTS

Our results showed that H2O2 induced TEC aging and that UCMSCs reversed these changes. Compared with those in aged TECs, 2260 DE mRNAs, 1033 DE lncRNAs and 67 DE miRNAs were differentially expressed, and these changes were reversed by coculturing the cells with UCMSCs. Differential mRNA enrichment analysis of ceRNA regulation revealed that the PI3K-AKT pathway was a significant signaling pathway. UCMSC coculture upregulated VEGFA, which is the upstream factor of the PI3K-AKT signaling pathway, and the expression of the key proteins PI3K and AKT. Thus, the expression of the cell cycle suppressor P27, which is downstream of the PI3K-AKT signaling pathway, was downregulated, while the expression of the cell cycle regulators CDK2 and CCNE was upregulated.

CONCLUSION

UCMSC coculture upregulated the expression of VEGFA, activated the PI3K-AKT signaling pathway, increased the expression of CDK2 and CCNE, decreased the expression of P27, and promoted the proliferation of TECs.

LINC01134: a pivotal oncogene with promising predictive maker and therapeutic target in hepatocellular carcinoma

Hepatocellular carcinoma (HCC) represents a leading and fatal malignancy within the gastrointestinal tract. Recent advancements highlight the pivotal role of long non-coding RNAs (lncRNAs) in diverse biological pathways and pathologies, particularly in tumorigenesis. LINC01134, a particular lncRNA, has attracted considerable attention due to its oncogenic potential in hepatoma. Current research underscores LINC01134's potential in augmenting the onset and progression of HCC, with notable implications in drug resistance. This review comprehensively explores the molecular functions and regulatory mechanisms of LINC01134 in HCC, offering a fresh perspective for therapeutic interventions. By delving into LINC01134's multifaceted roles, we aim to foster novel strategies in HCC management.

Construction of a ceRNA regulatory network to explore potential pathogenesis mechanisms involved in human hepatocellular carcinoma

Worldwide, primary liver cancer is the third leading cause of cancer-related death. Hepatocellular carcinoma (HCC) accounts for the majority of primary liver cancers. Recent studies have shown that circular RNAs (circRNAs) that interact with microRNAs (miRNAs) are involved in the occurrence and development of various tumours. Transcriptional profile analysis was used to analyse expression of circRNAs in HCC in this study. The top ten upregulated circRNAs were selected and validated by quantitative reverse transcription polymerase chain reaction (qRT-PCR) in another 34 HCC patients. MiRNAs and mRNAs downstream of these circRNAs were explored through database analysis, and finally, the competitive endogenous RNA (ceRNA) networks were constructed for 5 selected circRNAs. We identified 9658 differentially expressed circRNAs by transcriptional profile analysis. QRT-PCR was performed to validate the top ten upregulated circRNAs, and five circRNAs were selected for further analysis. The miRNAs and mRNAs downstream of these five circRNAs were predicted to construct ceRNA network diagrams. Further analysis revealed five circRNA-miRNA-mRNA axes that correlate negatively with HCC prognosis. Numerous differentially expressed circRNAs exist in HCC, and they can regulate the biological behaviour of HCC through ceRNA networks. Bioinformatics analysis showed that ceRNA regulatory axes involved in HCC have high diagnostic and prognostic value and deserve further exploration.

SKIL/SnoN attenuates TGF-β1/SMAD signaling-dependent collagen synthesis in hepatic fibrosis

The ski-related novel gene (SnoN), encoded by the SKIL gene, has been shown to negatively regulated transforming growth factor-β1 (TGF-β1) signaling pathway. However, the roles of SnoN in hepatic stellate cell (HSC) activation and hepatic fibrosis (HF) are still unclear. To evaluate the role of SnoN in HF, we combined bulk RNA sequencing analysis and single-cell RNA sequencing analysis to analyse patients with HF. The role of SKIL/SnoN was verified using liver samples from rat model transfected HSC-T6 and LX-2 cell lines. Immunohistochemistry, immunofluorescence, PCR, and western blotting techniques were used to demonstrate the expression of SnoN and its regulatory effects on TGF-β1 signaling in fibrotic liver tissues and cells. Furthermore, we constructed competitive endogenous RNA regulatory network and potential drug network associated with the SnoN gene. We identified SKIL gene as a differentially expressed gene in hepatic fibrosis. SnoN protein was found to be widely expressed in the cytoplasm of normal hepatic tissues, whereas it was almost absent in HF tissues. In the rat group subjected to bile duct ligation (BDL), SnoN protein expression decreased, while TGF-β1, collagen III, tissue inhibitor of metalloproteinase 1 (TIMP-1), and fibronectin levels increased. We observed the interaction of SnoN with p-SMAD2 and p-SMAD3 in the cytoplasm. Following SnoN overexpression, apoptosis of HSCs was promoted, and the expression of HF-associated proteins, including collagen I, collagen III, and TIMP-1, was reduced. Conversely, downregulation of SnoN inhibited HSC apoptosis, increased collagen III and TIMP-1 levels, and decreased matrix metalloproteinase 13 (MMP-13) expression. In conclusion, SnoN expression is downregulated in fibrotic livers, and could attenuate TGF-β1/SMADs signaling-dependent de-repression of collagen synthesis.

Bridging Pyroptosis and Immunity: A Comprehensive Study of the Pyroptosis-Related Long Non-Coding RNA Signature in Breast Cancer

Breast cancer continuously poses serious clinical challenges to human health due to its intrinsic heterogenicity and evolving drug resistance. Recently, increasing evidence has shown that pyroptosis, known as a programmed and inflammatory form of cell death, participates in tumorigenesis, progression, and remodeling of the tumor immune microenvironment (TIME). However, a comprehensive insight into pyroptosis-related signatures for breast cancer remains elusive. The current study established a pyroptosis-related lncRNA signature using transcriptome data and corresponding clinical information from The Cancer Genome Atlas (TCGA). Pyroptosis-related gene clusters, the associated differential expression in breast cancer patients' subtypes, and the potential mechanisms were all discussed. This integrative analysis revealed a unique signature underpinning the dichotomy of breast cancer progression and survival outcomes. Interestingly, the pyroptosis-related lncRNA signature was revealed as closely intertwined with the TIME. A correlation was established between the pyroptosis-related LncRNA signature and the TIME, underlying the mutual effect between pyroptosis and the immune responses implicated in breast cancer. The findings in this work underline the critical role exerted by pyroptosis in breast cancer, providing new insights into disease progression, prognosis, and therapeutic potential. This work has been poised to provide new avenues for personalized, immune-based cancer therapeutics by enhancing our understanding of pyroptosis in breast cancer.

Circ_0000182 promotes cholesterol synthesis and proliferation of stomach adenocarcinoma cells by targeting miR-579-3p/SQLE axis

BACKGROUND

Circular RNAs (circRNAs) or cholesterol metabolism have been demonstrated to participate in stomach adenocarcinoma (STAD) progression. However, the relationship between circRNAs and cholesterol metabolism in STAD and its underlined mechanism remain unclear.

METHODS

RNA and protein expression levels were detected by qRT-PCR and Western blot. Cell proliferation was assessed by CCK-8, EdU incorporation and colony formation assays. Total cholesterol (TC) and free cholesterol (FC) levels were measured by the corresponding kits. The relationships between circ_0000182 and miR-579-3p or squalene epoxidase (SQLE) mRNA were investigated by bioinformatics analysis, RNA-RNA pull-down, luciferase reporter and RIP assays.

RESULTS

We found that circ_0000182 expression was significantly up-regulated in both STAD tissues and cell lines, and high circ_0000182 expression was correlated with increased tumor size. Circ_0000182 promoted cell proliferation and cholesterol synthesis of STAD cells. Accordingly, cell proliferation, cholesterol synthesis and SQLE expression were significantly inhibited by circ_0000182 knockdown in STAD cells, and these effects were partly reversed by miR-579-3p inhibition or SQLE over-expression. Furthermore, we identified that circ_0000182 acted as a competing endogenous RNA (ceRNA) by sponging miR-579-3p, thereby facilitating SQLE expression, cholesterol synthesis and cell proliferation.

CONCLUSION

Circ_0000182 promotes cholesterol synthesis and proliferation of STAD cells by enhancing SQLE expression via sponging miR-579-3p.