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揭示乳腺癌多组学数据中肿瘤抑制基因的致癌机制。

Uncovering Oncogenic Mechanisms of Tumor Suppressor Genes in Breast Cancer Multi-Omics Data.

机构信息

Department of Biomedical Informatics, College of Medicine, Gachon University, Incheon 21565, Korea.

出版信息

Int J Mol Sci. 2022 Aug 25;23(17):9624. doi: 10.3390/ijms23179624.

Abstract

Tumor suppressor genes (TSGs) are essential genes in the development of cancer. While they have many roles in normal cells, mutation and dysregulation of the TSGs result in aberrant molecular processes in cancer cells. Therefore, understanding TSGs and their roles in the oncogenic process is crucial for prevention and treatment of cancer. In this research, multi-omics breast cancer data were used to identify molecular mechanisms of TSGs in breast cancer. Differentially expressed genes and differentially coexpressed genes were identified in four large-scale transcriptomics data from public repositories and multi-omics data analyses of copy number, methylation and gene expression were performed. The results of the analyses were integrated using enrichment analysis and meta-analysis of a -value summation method. The integrative analysis revealed that TSGs have a significant relationship with genes of gene ontology terms that are related to cell cycle, genome stability, RNA processing and metastasis, indicating the regulatory mechanisms of TSGs on cancer cells. The analysis frame and research results will provide valuable information for the further identification of TSGs in different types of cancers.

摘要

肿瘤抑制基因(TSGs)是癌症发展过程中的关键基因。虽然它们在正常细胞中具有多种功能,但 TSG 的突变和失调会导致癌细胞中异常的分子过程。因此,了解 TSG 及其在致癌过程中的作用对于癌症的预防和治疗至关重要。在这项研究中,使用多组学乳腺癌数据来鉴定乳腺癌中 TSG 的分子机制。从公共数据库中的四个大规模转录组学数据中识别差异表达基因和差异共表达基因,并进行拷贝数、甲基化和基因表达的多组学数据分析。使用富集分析和-a 值总和方法的荟萃分析对分析结果进行整合。综合分析表明,TSGs 与与细胞周期、基因组稳定性、RNA 处理和转移相关的基因本体论术语中的基因具有显著关系,这表明 TSG 对癌细胞的调控机制。该分析框架和研究结果将为进一步鉴定不同类型癌症中的 TSG 提供有价值的信息。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d16d/9455665/fd909e1bce7a/ijms-23-09624-g001.jpg

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