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COL6A3 在结直肠癌中的作用。

Role of COL6A3 in colorectal cancer.

机构信息

Department of Bioinformatics, School of Life Sciences, Fujian Agriculture and Forestry University, Fuzhou, Fujian 350002, P.R. China.

Department of Medical Informatics, Institute of Health Service and Medical Information, Academy of Military Medical Sciences, Beijing 100850, P.R. China.

出版信息

Oncol Rep. 2018 Jun;39(6):2527-2536. doi: 10.3892/or.2018.6331. Epub 2018 Mar 23.

Abstract

Public transcriptome databases provide a valuable resource for genome‑wide co‑expression network analysis and investigation of the molecular mechanisms that underlie pathogenesis. To discover genes that may affect patient survival, a large‑scale analysis of human colorectal cancer (CRC) datasets that were retrieved from the NCBI Gene Expression Omnibus was performed. A gene co‑expression network was constructed using weighted gene co‑expression network analysis (WGCNA). A total of 18 co‑expressed gene modules were identified, of which two genes corresponded to cell migration and the cell cycle, two genes were involved in immune responses, two genes corresponded to mitochondrial function, and one gene corresponded to RNA splicing. A total of eight hub genes in the cell migration/extracellular matrix module were associated with poor prognosis in CRC, and the P‑value for collagen type VI α3 chain (COL6A3) was the lowest. In silico analysis of cell type‑specific gene expression and COL6A3 knockout experiments indicated the clinical relevance of COL6A3 in the development of CRC. In summary, the present analysis provides a basis for understanding the molecular characterization of CRC at the transcription level. COL6A3 may be a promising biomarker or target for the prognosis and treatment of CRC.

摘要

公共转录组数据库为全基因组共表达网络分析和研究发病机制的分子机制提供了有价值的资源。为了发现可能影响患者生存的基因,对从 NCBI Gene Expression Omnibus 检索到的大量人类结直肠癌 (CRC) 数据集进行了大规模分析。使用加权基因共表达网络分析 (WGCNA) 构建了基因共表达网络。总共鉴定出 18 个共表达基因模块,其中两个基因与细胞迁移和细胞周期有关,两个基因参与免疫反应,两个基因与线粒体功能有关,一个基因与 RNA 剪接有关。细胞迁移/细胞外基质模块中的 8 个枢纽基因与 CRC 的预后不良相关,COL6A3 基因的 P 值最低。细胞类型特异性基因表达的计算机分析和 COL6A3 敲除实验表明 COL6A3 在 CRC 发展中的临床相关性。综上所述,本分析为理解 CRC 在转录水平的分子特征提供了基础。COL6A3 可能是 CRC 预后和治疗的有前途的生物标志物或靶标。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f7b4/5983922/bb543604d9a7/OR-39-06-2527-g00.jpg

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