Skip to content
Open access

Identification of Potential Exosomal miRNA-mRNA Regulatory Network Relevant to Tuberculous-Associated Lung Cancer

Sep 2026 · Biomedicines · Vol 14, pp. 2060 · 0 citations · 68 references
Medicine

TL;DR

This study prioritized a candidate miRNA–mRNA regulatory network associated with TPE-derived exosome exposure in lung cancer models, providing a basis for further investigation in larger clinical cohorts and more physiologically relevant models.

Abstract

Background/Objectives: Tuberculosis is a risk factor for lung cancer. Previous studies have demonstrated that miRNAs derived from tuberculous pleural effusion (TPE) exosomes are involved in lung cancer progression. This study aimed to identify potential miRNA–mRNA regulatory networks associated with TPE-derived exosome exposure in the context of lung cancer. Methods: Exploratory differential expression analysis was performed using RNA-seq data from TPE-derived exosomes to select candidate miRNAs showing differential expression patterns. In an in vivo mouse xenograft tumor model, TPE-derived exosomes were administered intratumorally, followed by RNA-seq analysis to select candidate genes showing differential expression patterns. Predicted target genes of the candidate miRNAs were then overlapped with the candidate genes from the xenograft analysis to obtain overlapping common genes (OCGs). The regulation of these genes by candidate miRNAs was validated through in vitro experiments, and a miRNA-mRNA network was constructed using Cytoscape. Results: Exploratory analyses suggested differential expression patterns in 27 candidate miRNAs (19 showing increased and 8 showing decreased expression) in TPE-derived exosomes and 2340 candidate genes in xenograft tissues. A total of 4715 and 700 target genes were predicted for candidate miRNAs using miRDB and miRTarBase, respectively. Following a stepwise filtering strategy, five candidate target genes (RRAS2, RAC1, RAP1B, NOTCH2, and SMARCA4) were prioritized from the overlapping common genes (OCGs). The seven candidate miRNAs predicted to regulate these genes were subsequently used to prioritize a candidate 7-miRNA–5-mRNA regulatory network for further investigation. Conclusions: This study prioritized a candidate miRNA–mRNA regulatory network associated with TPE-derived exosome exposure in lung cancer models, providing a basis for further investigation in larger clinical cohorts and more physiologically relevant models.

Read PDF

Similar papers

Oct 2026

Exosomal miRNA Sequencing and Bioinformatics in Breast Cancer: A Case-Control Study in Baise, China.

Breast carcinoma remains the most frequently diagnosed malignancy among women globally, carrying a substantial burden of incidence and fatality. Timely diagnosis and intervention are of utmost significance for improving patient prognosis. Accumulating evidence suggests that microRNAs (miRNAs) derived from plasma exosom...

Guang-Fu Pang, Sheng-Shan Yuan, Chen Yang et al. · 0 citations
Open access Sep 2026

Analysis of exosomal mRNA profile in cancer tissue from patients with colorectal cancer

Colorectal cancer (CRC) is one of the most common malignant tumors. Exosomes are key modulators of intercellular communication and important participants in CRC tumorigenesis. However, the influence and underlying mechanism of cancer-secreted exosomes in CRC are not fully understood. In the present study, exosome-enric...

Xiao-Wei Li, Yi-Ming Kang, Mei Xue et al. · 0 citations
Open access Aug 2026

Prediction of potential biomarkers and therapeutic targets in HIV viremic patients using immune-related circRNA-miRNA-mRNA regulatory networks

This integrative analysis suggests potential circRNA-mediated regulatory mechanisms in HIV infection and highlights potential candidate circRNAs that may serve as biomarkers or therapeutic targets for further investigation.

Negin Faraji, Leila Rouhi, A. Bolhassani et al. · 0 citations
2026

Integration of Omics Data to Identify Cancer-Related MicroRNA.

This chapter includes step-by-step protocols, example R code, and recommendations for integrating additional data layers such as copy number variation and DNA methylation, with the goal of improving the robustness and interpretability of miRNA-based analyses in cancer.

L. Cascione · 0 citations
Sep 2026

Bioinformatics Identification and Functional Validation of Mitochondrial Homeostasis-Related Genes in Nasopharyngeal Carcinoma Metastasis.

INTRODUCTION Metastatic spread remains the leading cause of death in Nasopharyngeal Carcinoma (NPC); however, the role of mitochondrial homeostasis in this process remains largely unclear. OBJECTIVE This study aims to identify key genes associated with mitochondrial homeostasis and NPC metastasis, and to further expl...

Zhen Guo, Bin-Sheng He, Dan-Feng Cao · 0 citations

We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.