The LINC01929/miR-6875-5p/ADAMTS12 Axis in the ceRNA Network Regulates the Development of Advanced Bladder Cancer

Unveiling ADAMTS12: A key driver of bladder cancer progression via COL3A1-Mediated activation of the FAK/PI3K/AKT signaling pathway

Bladder cancer (BCa) is a common and lethal disease characterized by high recurrence rates and limited treatment options. Understanding the molecular pathways of BCa progress is crucial for investigating more effective targeted therapies. While ADAMTS12 is known to contribute to cancer progression and treatment resistance, its prognostic significance and underlying mechanisms in BCa remain poorly understood. To elucidate the molecular pathways and functions of ADAMTS12 in BCa, we employed various experimental approaches, including Transwell invasion assays, flow cytometry analysis, wound-healing assays, CCK-8 assays, and a xenograft tumor model. Our results demonstrated that overexpression of ADAMTS12 significantly enhanced cell growth, migration, and invasion while inhibiting apoptosis through the activation of the FAK/PI3K/AKT signaling pathway. Conversely, the knockdown of ADAMTS12 produced the opposite effects. In vivo studies further confirmed that the inhibition of ADAMTS12 effectively suppressed tumor progression. Comprehensive bioinformatics analysis of the TCGA-BLCA dataset and protein-protein interaction networks revealed a strong positive correlation between COL3A1 and ADAMTS12, identifying COL3A1 as a potential downstream target of ADAMTS12. Additionally, we observed a significant increase in the expression levels of ADAMTS12 and COL3A1 in BCa tissues compared to healthy tissues, as confirmed by Western blotting and qRT-PCR analysis. Notably, inhibition of COL3A1 reversed the enhanced cell growth and invasion associated with ADAMTS12 overexpression and suppressed cell apoptosis. Our findings suggest that ADAMTS12 promotes BCa progression through the FAK/PI3K/AKT signaling pathway by regulating COL3A1, highlighting its potential as a valuable marker for diagnosis and prognosis in BCa.

LINC01929 Is a Prognostic Biomarker for Multiple Tumours and Promotes Cell Proliferation in Breast Cancer Through the TNF/STAT3 Axis

The aim of this study was to investigate whether long intergenic non-coding RNA 1929 (LINC01929), a novel long non-coding RNA, could serve as a prognostic biomarker for various tumours and explore its function. The expression and prognosis of LINC01929 across 33 different tumour types in patients in the Cancer Genome Atlas (TCGA) database were analysed. Also, the correlation between LINC01929 expression, tumour mutational burden (TMB), microsatellite instability (MSI), immune checkpoint status and immune cell infiltration was examined. Moreover, the function of LINC01929 in the breast cancer cell lines was explored via CCK-8, colony formation and cell cycle assays. In addition, the downstream mechanisms of LINC01929 were analysed via transcriptome sequencing, RT-qPCR, and western blotting. Our analysis revealed that LINC01929 was weakly expressed in 3 tumour types and highly expressed in 14 tumour types, and low expression of LINC01929 was correlated with better clinical outcomes in 15 tumour types. Furthermore, LINC01929 expression was correlated significantly with the TMB, MSI, immune checkpoint and immune cell infiltration across multiple tumour types. The knockdown of LINC01929 inhibited cell cycle progression, cell proliferation, and tumorigenesis and downregulated the TNF pathway and STAT3 expression. The treatment with exogenous TNF-α partially reversed the cell cycle progression and proliferation inhibition caused by LINC01929 knockdown, and these effects were accompanied by changes in STAT3 expression. LINC01929 may serve as an effective biomarker affecting the TMB, MSI, immune cell infiltration and immune checkpoint status. Mechanistically, LINC01929 affects cell cycle progression and cell proliferation through the TNF/STAT3 axis. These findings offer valuable insights into the potential applications of LINC01929 in tumour therapy, which may yield novel targets and strategies for the diagnosis and treatment of patients.

High Expression of miR-6785-5p in the Serum Exosomes of Psoriasis Patients Alleviates Psoriasis-Like Skin Damage by Interfering with the MNK2/p-eIF4E Axis in Keratinocytes

Psoriasis is a chronic inflammatory skin disease characterized by abnormal keratinocyte proliferation and inflammation. MiRNAs and serum exosomes participate in the pathogenesis of many diseases. The objective of this study is to explore the function of miR-6785-5p in psoriatic keratinocytes and its upstream and downstream mechanisms. For our study, we employed qRT-PCR and fluorescence in situ hybridization to evaluate miR-6785-5p in psoriatic keratinocytes and conducted a microRNA microarray for identifying differentially expressed miRNAs in patient serum exosomes. We then cocultured keratinocytes with these exosomes, using immunofluorescence staining and qRT-PCR to assess uptake and miR-6785-5p overexpression. We explored miR-6785-5p's role through transfection with specific mimics and inhibitors and confirmed MNK2 as its target using a luciferase assay. MNK2's function was further examined using siRNA technology. Lastly, we applied an imiquimod-induced psoriasis mouse model, also employing siRNA, to investigate MNK2's role in psoriasis. MiR-6785-5p demonstrates a notable overexpression in the keratinocytes of psoriasis patients as well as in their serum exosomes. These keratinocytes actively uptake the miR-6785-5p-enriched serum exosomes. Functionally, miR-6785-5p appears to alleviate psoriasis-like skin damage, observable both in vitro and in vivo, by downregulating MNK2 expression. Psoriasis keratinocytes uptake serum exosomes highly expressing miR-6785-5p. MiR-6785-5p inhibits the abnormal proliferation and inflammatory state of keratinocytes by reducing MNK2 expression and interfering with the MNK2/p-eIF4E axis.

A risk model based on lncRNA-miRNA-mRNA gene signature for predicting prognosis of patients with bladder cancer

OBJECTIVES

We aimed to analyze lncRNAs, miRNAs, and mRNA expression profiles of bladder cancer (BC) patients, thereby establishing a gene signature-based risk model for predicting prognosis of patients with BC.

METHODS

We downloaded the expression data of lncRNAs, miRNAs and mRNA from The Cancer Genome Atlas (TCGA) as training cohort including 19 healthy control samples and 401 BC samples. The differentially expressed RNAs (DERs) were screened using limma package, and the competing endogenous RNAs (ceRNA) regulatory network was constructed and visualized by the cytoscape. Candidate DERs were screened to construct the risk score model and nomogram for predicting the overall survival (OS) time and prognosis of BC patients. The prognostic value was verified using a validation cohort in GSE13507.

RESULTS

Based on 13 selected. lncRNAs, miRNAs and mRNA screened using L1-penalized algorithm, BC patients were classified into two groups: high-risk group (including 201 patients ) and low risk group (including 200 patients). The high-risk group's OS time ( hazard ratio [HR], 2.160; 95% CI, 1.586 to 2.942; P= 5.678e-07) was poorer than that of low-risk groups' (HR, 1.675; 95% CI, 1.037 to 2.713; P= 3.393 e-02) in the training cohort. The area under curve (AUC) for training and validation datasets were 0.852. Younger patients (age ⩽ 60 years) had an improved OS than the patients with advanced age (age > 60 years) (HR 1.033, 95% CI 1.017 to 1.049; p= 2.544E-05). We built a predictive model based on the TCGA cohort by using nomograms, including clinicopathological factors such as age, recurrence rate, and prognostic score.

CONCLUSIONS

The risk model based on 13 DERs patterns could well predict the prognosis for patients with BC.

HCG11 inhibits salivary adenoid cystic carcinoma by upregulating EphA2 via binding to miR-1297

OBJECTIVE

Ephrin receptor A2 (EphA2) was reported to be related to the tumorigenesis of salivary adenoid cystic carcinoma (SACC), which is a rare malignancy accounting for less than 1% of all oral and maxillofacial tumors. This research aimed to assess the molecular mechanisms of EphA2 in SACC.

STUDY DESIGN

The expression of long non-coding RNA human leukocyte antigen complex group 11 (HCG11), microRNA-1297 (miR-1297), and EphA2 in SACC cell lines compared with normal human salivary gland (HSG) cell line was measured by reverse transcription-quantitative polymerase chain reaction. EphA2 protein level was detected by western blot. 5-ethynyl-2'-deoxyuridine (EdU), colony formation, Transwell, and wounding healing experiments were applied to evaluate SACC cell proliferation, migration, and invasion. The relationship among HCG11, miR-1297, and EphA2 was confirmed by luciferase reporter, RNA pulldown, and RNA immunoprecipitation experiments.

RESULTS

HCG11 and EphA2 were downregulated while miR-1297 was upregulated in SACC cells. EphA2 overexpression suppressed SACC cell proliferation, migration, and invasion. HCG11 bound to miR-1297 to reduce the inhibition of miR-1297 on EphA2 expression. EphA2 knockdown reversed the suppression of HCG11 overexpression on SACC cell phenotypes.

CONCLUSION

This study identified the HCG11/miR-1297/EphA2 regulatory axis in SACC, which might provide novel therapeutic targets for SACC.

Starvation-induced long non-coding RNAs are significant for prognosis evaluation of bladder cancer

BACKGROUND

Starving intratumoral microenvironment prominently alters genic profiles including long non-coding RNAs (lncRNAs), which further regulate bladder cancer (BCa) malignant biological properties, such as invasion and migration.

METHODS

Transcriptome RNA-sequencing data of 414 BCa tumor tissues and 19 normal tissues were obtained from TCGA database and paired samples of 132 BCa patients. A chain of in vitro validations such as qPCR, migration and invasion assays were performed to reveal the clinical relevance of AC011472.4 and AL157895.1.

RESULTS

A total of 11 lncRNAs were identified as starvation-related lncRNAs, of which AC011472.4 and AL157895.1 were relevant to overall survival of BCa patients. Besides, a starvation-related risk score model was established based on the levels of AC011472.4 and AL157895.1. BCa patients with higher levels of AL157895.1 were divided into the high-risk group and usually obtained higher mortality rate, but AC011472.4 was contrary. AL157895.1 expressed highly in BCa cell lines and tumour tissues, especially in patients with the advanced grade, stage and T-stage, while AC011472.4 showed the reversed result. Moreover, increased level of AL157895.1 was remarkably correlated to T-stage, muscle invasion status and distant metastasis. SiRNAs-mediated silence of AC011472.4 and AL157895.1 respectively increased and diminished invasion and migration properties of BCa cells.

CONCLUSIONS

In this study, we highlight the significant roles of AC011472.4 and AL157895.1 on evaluating prognoses of BCa patients and validate their correlation with various clinical parameters. These findings provide an appropriate risk score model for BCa clinical decision making.

Construction of a ceRNA network in polycystic ovary syndrome (PCOS) driven by exosomal lncRNA

Polycystic ovary syndrome (PCOS), a common and frustrating syndrome in women of reproductive age, is characterized by symptoms including hyperandrogenemia, ovulation dysfunction, and polycystic ovaries. The role of competitive endogenous RNA (ceRNA) networks is receiving increasing attention and has been reported in multiple complicated diseases, such as various carcinomas, endometriosis, and tubal factor infertility. However, the association of ceRNA networks with the pathogenesis of PCOS remains unclear. This study aimed to construct a ceRNA network orchestrated by exosomal lnRNA and circRNA in PCOS. We screened RNA data of 34 samples from the Gene Expression Omnibus (GEO) database for differentially expressed lncRNAs (DELs), miRNAs (DEMs), mRNAs (DEGs), and circRNA associated with the progression of PCOS (PCOS, n = 17 vs. normal, n = 17). A protein-protein interaction (PPI) network, gene set enrichment analysis (GSEA), and Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) analyses were conducted. Importantly, the function of the ceRNA network was explored using GO and KEGG enrichment analyses. We identified 46 DELs (25 upregulated and 21 downregulated), 31 DEMs (20 upregulated and 11 downregulated), 165 DEGs (52 upregulated and 113 downregulated), and 1 differentially expressed circRNA. The PPI network had 79 nodes and 112 edges. The GSEA results showed that these genes were mainly related to oxidative phosphorylation; TNF signaling pathways; and valine, leucine, and isoleucine degradation. GO and KEGG analyses revealed that the DEGs were significantly enriched in lipid metabolism, peroxisome proliferator-activated receptor (PPAR) signaling pathways, and fatty acid metabolism. Additionally, we constructed a novel PCOS-associated lncRNA-miRNA-mRNA ceRNA triple network and a circRNA-related network. Thereafter, we described the potential roles played by follicular fluid exosomes in PCOS. Our present study describes the molecular pathogenesis of PCOS in human ovarian granulosa cells at the post-transcriptional level, which provides new insights for the clinical diagnosis and treatment of PCOS and further scientific research.

Mining Potential Drug Targets and Constructing Diagnostic Models for Heart Failure Based on miRNA-mRNA Networks

Heart failure (HF) is a globally prevalent cardiovascular disease, but effective drug targets and diagnostic models are still lacking. This study was designed to investigate effective drug targets and diagnostic models for HF in terms of miRNA targets, hoping to contribute to the understanding and treatment of HF. Using HF miRNA and gene expression profile data from the GEO database, we analyzed differentially expressed miRNAs/gene identification in HF using Limma and predicted miRNA targets by the online TargetScan database. Subsequently, gene set enrichment analysis and annotation were performed using WebGestaltR package. Protein-protein interactions were identified using the STRING database. The proximity of drugs to treat HF was also calculated and predicted for potential target therapeutic drug. In addition, further drug identification was performed by molecular docking. Finally, diagnostic models were constructed based on differential miRNAs. The GEO dataset was used to screen 66 differentially expressed miRNAs, incorporating 56 downregulated miRNAs and 10 upregulated miRNAs. The JAK-STAT signaling pathway, MAPK signaling pathway, p53 signaling pathway, Prolactin signaling pathway, and TGF-beta signaling pathway were enriched, as shown by KEGG enrichment analysis on the target genes. In addition, we found that 83 genes were upregulated and 92 genes were downregulated in HF patients vs. healthy individuals. Based on the inflammation-related score, hypoxia-related score, and energy metabolism-related score, we identified key miRNA-mRNA pairs and constructed an interaction network. Following that, TAP1, which had the highest expression and network connectivity in acute HF with crystal and molecular docking studies, was selected as a key candidate gene in the network. And the compound DB04847 was selected to produce a large number of favorable interactions with TAP1 protein. Finally, we constructed two diagnostic models based on the differential miRNAs hsa-miR-6785-5p and hsa-miR-4443. In conclusion, we identified TAP1, a key candidate gene in the diagnosis and treatment of HF, and determined that compound DB04847 is highly likely to be a potential inhibitor of TAP1. The TAP1 gene was also found to be regulated by hsa-miR-6785-5p and hsa-miR-4443, and a diagnostic model was constructed. This provides a new promising direction to improve the diagnosis, prognosis, and treatment outcome and guide more effective immunotherapy strategies of HF.