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.

IF 3.6 3区 生物学 Q2 BIOCHEMICAL RESEARCH METHODS IEEE/ACM Transactions on Computational Biology and Bioinformatics Pub Date : 2024-08-29 DOI:10.1109/TCBB.2024.3443854
Chu-Ting Yu, Bo Tian, Qian-Qian Meng, Zhe-Ran Chen, Ya-Nan Pang, Xun Zhang, Yan Bian, Si-Wei Zhou, Mei-Juan Hao, Ye Gao, Lei Xin, Han Lin, Wei Wang, Luo-Wei Wang
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Abstract

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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开发并验证用于识别食管鳞状细胞癌免疫相关靶点的竞争性内源性 circRNA/miRNA/mRNA 网络综合分析方法
食管鳞状细胞癌(ESCC)的免疫疗法在疗效上表现出明显的差异性。同时,最近的研究强调了 circRNA 对 ESCC 肿瘤微环境的影响。为了进一步探索这种关系,我们利用循环RNA、microRNA和mRNA序列数据集构建了一个全面的免疫相关循环RNA-microRNA-mRNA网络,揭示了内源性RNA(ceRNA)在ESCC中的竞争性作用。该网络包括16个环状RNA、13个microRNA和1,560个mRNA。加权基因共表达分析确定了免疫相关模块,特别是癌症相关成纤维细胞(CAF)和髓源抑制细胞模块,它们与免疫和干性评分显著相关。其中,CAF 模块在细胞外基质功能中起着关键作用,能有效区分 ESCC 患者。CAF中的四个枢纽胶原家族基因与CAF、巨噬细胞浸润和T细胞排斥密切相关。内部测序和 RT-qPCR 验证了它们的表达升高。我们还发现了可用于治疗 ESCC 的 CAF 模块靶向药物。总之,我们建立了一个与免疫相关的 circRNA-miRNA-mRNA 网络,它不仅阐明了 ceRNA 的功能,还强调了 circRNA 通过胶原基因靶向参与 CAF。这些发现有望预测 ESCC 的免疫景观和治疗反应,最终帮助做出更个性化、更有效的临床决策。
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来源期刊
CiteScore
7.50
自引率
6.70%
发文量
479
审稿时长
3 months
期刊介绍: IEEE/ACM Transactions on Computational Biology and Bioinformatics emphasizes the algorithmic, mathematical, statistical and computational methods that are central in bioinformatics and computational biology; the development and testing of effective computer programs in bioinformatics; the development of biological databases; and important biological results that are obtained from the use of these methods, programs and databases; the emerging field of Systems Biology, where many forms of data are used to create a computer-based model of a complex biological system
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