Development and Validation of a Comprehensive Analysis of the Competing Endogenous circRNA/miRNA/mRNA Network for the Identification of Immune-Related Targets in Esophageal Squamous Cell Carcinoma

小RNA 鉴定(生物学) 内生 食管鳞状细胞癌 免疫系统 信使核糖核酸 竞争性内源性RNA 计算生物学 癌症研究 生物 免疫学 核糖核酸 基因 遗传学 生物化学 植物 长非编码RNA
作者
Chuting Yu,Bo Tian,Qianqian Meng,Z Chen,Yanan Pang,Xun Zhang,Yan Bian,Siwei Zhou,Mei-juan Hao,Ye Gao,Lei Xin,Lin Han,Wei Wang,Luo‐Wei Wang
出处
期刊:IEEE/ACM Transactions on Computational Biology and Bioinformatics [Institute of Electrical and Electronics Engineers]
卷期号:: 1-14 被引量:1
标识
DOI:10.1109/tcbb.2024.3443854
摘要

Immunotherapy for esophageal squamous cell carcinoma (ESCC) exhibits notable variability in efficacy. Concurrently, recent research emphasizes circRNAs' impact on the ESCC tumor microenvironment. To further explore the relationship, we leveraged circRNA, microRNA, and mRNA sequence datasets to construct a comprehensive immune-related circRNA-microRNA-mRNA network, revealing competing endogenous RNA (ceRNA) roles in ESCC. The network comprises 16 circular RNAs, 13 microRNAs, and 1,560 mRNAs. Weighted gene co-expression analysis identified immune-related modules, notably cancer-associated fibroblast (CAF) and myeloid-derived suppressor cell modules, correlating significantly with immune and stemness scores. Among them, the CAF module plays a crucial role in extracellular matrix function and effectively discriminates ESCC patients. Four hub collagen family genes within CAF correlated robustly with CAF, macrophage infiltration, and T-cell exclusion. In-house sequencing and RT-qPCR validated their elevated expression. We also identified CAF module-targeting drugs as potential ESCC treatments. In summary, we established an immune-related circRNA-miRNA-mRNA network that not only illuminates ceRNA functionality but also highlights circRNAs' involvement in the CAF through collagen gene targeting. These findings hold promise to predict ESCC immune landscapes and therapy responses, ultimately aiding in more personalized and effective clinical decision-making.
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