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结直肠癌中与干性指数相关的特征基因的特征分析

Characteristic Analysis of Featured Genes Associated With Stemness Indices in Colorectal Cancer.

作者信息

Lu Yongqu, Zhou Xin, Liu Zhenzhen, Wang Wendong, Li Fei, Fu Wei

机构信息

Department of General Surgery, Peking University Third Hospital, Beijing, China.

出版信息

Front Mol Biosci. 2020 Oct 6;7:563922. doi: 10.3389/fmolb.2020.563922. eCollection 2020.

DOI:10.3389/fmolb.2020.563922
PMID:33134313
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7576097/
Abstract

Cancer stem cells (CSCs) with self-renewal play an important role in tumor initiation and progression and are associated with drug resistance in cancer therapy. Here, we investigated the characteristics of stem cell-related genes in colorectal cancer (CRC) based on datasets from The Cancer Genome Atlas (TCGA) and Oncomine. We found that the stemness indices were significantly overexpressed in CRC tissues and were associated with patient survival. Weighted gene co-expression network analysis (WGCNA) was performed to determine the modules of stemness and featured genes. Significant modules and 8 genes (, , , , , , , and ) were selected according to the inclusion criteria. Expression analyses of transcription and protein levels confirmed internal correlation and their relevance with the tumor. Functional analysis of these genes demonstrated their enrichment in pathways, including checkpoint, chromosomal region and protein serine/threonine kinase activity. These results suggested that the characteristics of the featured genes fit well with CRC pathology and could provide new strategies for individual prevention and treatment.

摘要

具有自我更新能力的癌症干细胞（CSCs）在肿瘤的起始和进展中起着重要作用，并且与癌症治疗中的耐药性相关。在此，我们基于来自癌症基因组图谱（TCGA）和Oncomine的数据集，研究了结直肠癌（CRC）中干细胞相关基因的特征。我们发现干性指数在CRC组织中显著过表达，并且与患者生存相关。进行加权基因共表达网络分析（WGCNA）以确定干性模块和特征基因。根据纳入标准选择了显著模块和8个基因（、、、、、、和）。转录和蛋白质水平的表达分析证实了它们的内部相关性及其与肿瘤的相关性。这些基因的功能分析表明它们在包括检查点、染色体区域和蛋白质丝氨酸/苏氨酸激酶活性等途径中富集。这些结果表明，特征基因的特征与CRC病理学非常契合，并可为个体预防和治疗提供新策略。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c996/7576097/42076e276a9f/fmolb-07-563922-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c996/7576097/06c371672c0f/fmolb-07-563922-g001.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c996/7576097/a4fb6edde084/fmolb-07-563922-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c996/7576097/42076e276a9f/fmolb-07-563922-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c996/7576097/06c371672c0f/fmolb-07-563922-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c996/7576097/842abb5705ff/fmolb-07-563922-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c996/7576097/a880fc0d41fb/fmolb-07-563922-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c996/7576097/9d1ade67cc0d/fmolb-07-563922-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c996/7576097/239a1ab326c5/fmolb-07-563922-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c996/7576097/a4fb6edde084/fmolb-07-563922-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c996/7576097/42076e276a9f/fmolb-07-563922-g007.jpg

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