Comprehensive Analyses of Stromal-Immune Score-Related Competing Endogenous RNA Networks In Colon Adenocarcinoma

• Published in: Disease markers Vol. 2022; pp. 4235305 - 12
• Main Authors: Tong, Yalin, Peng, Mengle, Li, Jinbei, Niu, Ying
• Format: Journal Article
• Language: English
• Published: United States Hindawi 2022; Hindawi Limited
• Subjects: Adenocarcinoma; Adenocarcinoma - genetics; Algorithms; Annotations; Biomarkers; Biomarkers, Tumor - genetics; Cancer; Colon; Colonic Neoplasms - genetics; Colorectal cancer; Datasets; Gene expression; Gene Expression Regulation, Neoplastic; Gene Regulatory Networks; Glycoproteins - genetics; Humans; Medical prognosis; MicroRNAs; MicroRNAs - genetics; Non-coding RNA; Ontology; Patients; Regulatory mechanisms (biology); Ribonucleic acid; RNA; RNA, Long Noncoding - genetics; RNA, Messenger - genetics; Software; Survival analysis; Therapeutic targets; Tumor microenvironment; Tumor Microenvironment - genetics; Tumors; China
• ISSN: 0278-0240; 1875-8630
• DOI: 10.1155/2022/4235305

Although recent clinical investigations emphasize the roles of myriad diversities of RNAs in stromal and immune components in the tumor microenvironment, especially in colon adenocarcinoma, however, analyses of “competing endogenous RNAs (ceRNA)” network in association with stromal and immune scores have yet to be determined. This study was conducted to explore the regulatory mechanisms of a stromal-immune score-based ceRNA network in colon adenocarcinoma. Stromal and immune scores of colon adenocarcinoma tumor samples were calculated by using the ESTIMATE algorithm. Differential expression analysis between samples with high/low stromal and immune scores was performed, followed by functional annotation for the overlapping DEmRNAs. The ceRNA network was constructed by differential expression analysis, prediction of RNA-RNA interaction, and correlation with clinicopathological parameters of the patients, which were further verified by external datasets and experiments. Colon adenocarcinoma patients having higher immune scores exhibited prolonged overall survival. RNA dataset analyses from TCGA revealed aberrant expressions of a total of 2052 mRNAs, 108 lncRNAs, and 70 miRNAs between high and low stromal/immune groups. Functional annotation mapped the differentially overexpressed mRNAs for immune-associated GO terms. To construct the ceRNA network, a total of 48 lncRNAs, 40 miRNAs, and 199 mRNAs were sorted out. A dysregulated ceRNA network consisting of 6 lncRNAs, 11 miRNAs, and 39 mRNAs was constructed by comparing RNA expressions between cancer as well as adjacent normal tissues. The ceRNA regulatory axis “MIAT/miR-532-3p/STC1” was regarded as a potential hit by the comprehensive analysis. The RT-qPCR assay showed upregulation of MIAT and STC1 while downregulation of hsa-miR-532-3p expression in cancer. Thus, our study highlights the potential role of a stromal-immune score-based ceRNA network in the colon adenocarcinoma microenvironment. The ceRNA axis MIAT/miR-532-3p/STC1 could serve as a promising therapeutic target for colon adenocarcinoma.