ArticleBMC medical genomics2021
Bioinformatic analysis reveals an exosomal miRNA-mRNA network in colorectal cancer.
Article in BMC medical genomics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers.
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Who cites it
38 citing papers in PubMed, 54 citations in OpenAlex.
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- Glycolysis and T cell-associated gene signature predicts prognosis and therapeutic responses in pancreatic cancer.Frontiers in immunology · 2026Article
- Emerging role of ETV4 in colorectal cancer: from molecular mechanisms to clinical implications.Frontiers in oncology · 2026Review
- Decision tree-based machine learning methods for identifying colorectal cancer-associated microRNA signatures and their regulatory networks.Scientific reports · 2025Article
- Micro RNA in Colorectal Cancer-Potential Diagnostic and Prognostic Markers-An Updated Review.International journal of molecular sciences · 2025Review
- Exosomes: a potential tool in the diagnosis, prognosis and treatment of patients with colorectal cancer.Future oncology (London, England) · 2025Review
- MicroRNA 195, lactate dehydrogenase 5, phosphatase and tensin homologue in colorectal cancer: Clinicopathology and prognosis.World journal of gastrointestinal surgery · 2025Article
- Tumor Suppressor miRNA-based Signatures in Triple Negative Breast Cancer: A Study Based on Big Data Analysis of Gene Expression Omnibus (GEO) Datasets and Its Validation.Asian Pacific journal of cancer prevention : APJCP · 2025Article
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- Extracellular vesicles: their challenges and benefits as potential biomarkers for musculoskeletal disorders.The Journal of international medical research · 2025Review
- Study on the Mechanism of Competing Endogenous Network of 'Current computer-aided drug design · 2025Article
- Research progress of colorectal cancer in genomic and transcriptomic at multi-level.Frontiers in genetics · 2025Review
- The facilitating effects of KRT80 on chemoresistance, lipogenesis, and invasion of esophageal cancer.Cancer biology & therapy · 2024Article
- Article
- Mapping alternative splicing events in colorectal cancer.Discover oncology · 2024Article
- Unveiling the oncogenic role of LZTS1 in colorectal cancer.Journal of cellular and molecular medicine · 2024Article
- miRNA‑mRNA network contributes to HBV‑related hepatocellular carcinoma via immune infiltration induced by GRB2.Biomedical reports · 2024Article
- The promoting effects of Grin2d expression in tumorigenesis and the aggressiveness of esophageal cancer.Histology and histopathology · 2024Article
- Prognostic value of long noncoding RNA LINC00924 in lung adenocarcinoma and its regulatory effect on tumor progression.Histology and histopathology · 2024Article
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Authors and funding
5 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundExosomes play important roles in angiogenesis, drug resistance, and metastasis of colorectal cancer (CRC), but the underlying mechanism has seldom been reported. Herein, our study aimed to reveal an exosomal miRNA-mRNA network involved in CRC by performing bioinformatical analysis.
methodsThe mRNA and miRNA data of colon adenocarcinoma and rectal adenocarcinoma were downloaded from The Cancer Genome Atlas (TCGA) database, and exosomal miRNAs data were downloaded from the GEO dataset GSE39833. The differential expression analysis was performed using "limma" and "edgeR". Target mRNAs of miRNAs were predicted using FunRich 3.1.3, miRNAtap and multiMiR. The candidate mRNAs and exosomal miRNAs were obtained by intersecting two groups of differentially expressed miRNAs and intersection of the differential expressed mRNAs and the target mRNAs, respectively. Key mRNAs and exosomal miRNAs were identified by the least absolute shrinkage and selection operator regression analysis, and used to construct the exosomal miRNA-mRNA network. The network verified was by receiver operating characteristic curve, GEPIA and LinkedOmics. Functional enrichment analysis was also performed for studied miRNAs and mRNAs.
resultsA total of 6568 differentially expressed mRNAs and 531 differentially expressed miRNAs from TCGA data, and 166 differentially expressed exosomal miRNAs in GSE39833 dataset were identified. Next, 16 key mRNAs and five key exosomal miRNAs were identified from the 5284 candidate mRNAs and 61 candidate exosomal miRNAs, respectively. The exosomal miRNA-mRNA network with high connectivity contained 13 hub mRNAs (CBFB, CDH3, ETV4, FOXQ1, FUT1, GCNT2, GRIN2D, KIAA1549, KRT80, LZTS1, SLC39A10, SPTBN2, and ZSWIM4) and five hub exosomal miRNAs (hsa-miR-126, hsa-miR-139, hsa-miR-141, hsa-miR-29c, and hsa-miR-423). The functional annotation revealed that these hub mRNAs were mainly involved in the regulation of B cell receptor signaling pathway and glycosphingolipid biosynthesis related pathways. All hub mRNAs and hub exosomal miRNAs exhibited high diagnosis value for CRC. Furthermore, the association of the hub mRNAs with overall survival, stages, and MSI phenotype of CRC revealed their important roles in CRC progression.
conclusionThis study constructed an exosomal miRNA-mRNA network which may play crucial roles in the carcinogenesis and progression of CRC, thus providing potential diagnostic biomarkers and therapeutic targets for CRC.
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