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非编码重复突变的泛癌分析及其在癌症发病机制中的可能作用。

Pan-cancer analysis of non-coding recurrent mutations and their possible involvement in cancer pathogenesis.

作者信息

Kikutake Chie, Yoshihara Minako, Suyama Mikita

机构信息

Medical Institute of Bioregulation, Kyushu University, Fukuoka 812-8582, Japan.

出版信息

NAR Cancer. 2021 Mar 22;3(1):zcab008. doi: 10.1093/narcan/zcab008. eCollection 2021 Mar.

DOI:10.1093/narcan/zcab008
PMID:34316701
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8210231/
Abstract

Cancer-related mutations have been mainly identified in protein-coding regions. Recent studies have demonstrated that mutations in non-coding regions of the genome could also be a risk factor for cancer. However, the non-coding regions comprise 98% of the total length of the human genome and contain a huge number of mutations, making it difficult to interpret their impacts on pathogenesis of cancer. To comprehensively identify cancer-related non-coding mutations, we focused on recurrent mutations in non-coding regions using somatic mutation data from COSMIC and whole-genome sequencing data from The Cancer Genome Atlas (TCGA). We identified 21 574 recurrent mutations in non-coding regions that were shared by at least two different samples from both COSMIC and TCGA databases. Among them, 580 candidate cancer-related non-coding recurrent mutations were identified based on epigenomic and chromatin structure datasets. One of such mutation was located in RREB1 binding site that is thought to interact with promoter. Our results suggest that mutations may disrupt the binding of RREB1 to the candidate enhancer region and increase expression levels. Our findings demonstrate that non-coding recurrent mutations and coding mutations may contribute to the pathogenesis of cancer.

摘要

癌症相关突变主要在蛋白质编码区域被发现。最近的研究表明,基因组非编码区域的突变也可能是癌症的一个风险因素。然而,非编码区域占人类基因组总长度的98%,且包含大量突变,这使得解读它们对癌症发病机制的影响变得困难。为了全面识别癌症相关的非编码突变,我们利用来自COSMIC的体细胞突变数据和来自癌症基因组图谱(TCGA)的全基因组测序数据,聚焦于非编码区域的复发性突变。我们在非编码区域识别出21574个复发性突变,这些突变在COSMIC和TCGA数据库中至少两个不同样本中共享。其中,基于表观基因组和染色质结构数据集识别出580个候选癌症相关非编码复发性突变。其中一个这样的突变位于RREB1结合位点,该位点被认为与启动子相互作用。我们的结果表明,突变可能会破坏RREB1与候选增强子区域的结合并增加表达水平。我们的发现表明,非编码复发性突变和编码突变可能都对癌症发病机制有贡献。

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本文引用的文献

1
Transcription Factor RREB1: from Target Genes towards Biological Functions.转录因子 RREB1:从靶基因到生物学功能。
Int J Biol Sci. 2020 Feb 21;16(8):1463-1473. doi: 10.7150/ijbs.40834. eCollection 2020.
2
Analyses of non-coding somatic drivers in 2,658 cancer whole genomes.分析 2658 个癌症全基因组中的非编码体细胞驱动因子。
Nature. 2020 Feb;578(7793):102-111. doi: 10.1038/s41586-020-1965-x. Epub 2020 Feb 5.
3
Pan-cancer analysis of whole genomes.泛癌症全基因组分析。
Sci Rep. 2023 May 10;13(1):7593. doi: 10.1038/s41598-023-34452-w.
4
Protein Arginine Methyltransferase 5 (PRMT5) Mutations in Cancer Cells.蛋白精氨酸甲基转移酶 5(PRMT5)在癌细胞中的突变。
Int J Mol Sci. 2023 Mar 23;24(7):6042. doi: 10.3390/ijms24076042.
5
Pan-cancer analysis of mutations in open chromatin regions and their possible association with cancer pathogenesis.泛癌症分析开放染色质区域中的突变及其与癌症发病机制的可能关联。
Cancer Med. 2022 Oct;11(20):3902-3916. doi: 10.1002/cam4.4749. Epub 2022 Apr 13.
6
Non-Coding Variants in Cancer: Mechanistic Insights and Clinical Potential for Personalized Medicine.癌症中的非编码变异:个性化医学的机制见解与临床潜力
Noncoding RNA. 2021 Aug 2;7(3):47. doi: 10.3390/ncrna7030047.
Nature. 2020 Feb;578(7793):82-93. doi: 10.1038/s41586-020-1969-6. Epub 2020 Feb 5.
4
Regulation of TEAD Transcription Factors in Cancer Biology.TEAD 转录因子在癌症生物学中的调控作用。
Cells. 2019 Jun 17;8(6):600. doi: 10.3390/cells8060600.
5
Feasibility and utility of a panel testing for 114 cancer-associated genes in a clinical setting: A hospital-based study.在临床环境中检测 114 个癌症相关基因的面板的可行性和实用性:一项基于医院的研究。
Cancer Sci. 2019 Apr;110(4):1480-1490. doi: 10.1111/cas.13969. Epub 2019 Apr 2.
6
Identification of recurrent noncoding mutations in B-cell lymphoma using capture Hi-C.利用捕获 Hi-C 技术鉴定 B 细胞淋巴瘤中的反复出现的非编码突变。
Blood Adv. 2019 Jan 8;3(1):21-32. doi: 10.1182/bloodadvances.2018026419.
7
ChIP-Atlas: a data-mining suite powered by full integration of public ChIP-seq data.ChIP-Atlas:一款数据挖掘套件,其功能由公共 ChIP-seq 数据的全面整合提供支持。
EMBO Rep. 2018 Dec;19(12). doi: 10.15252/embr.201846255. Epub 2018 Nov 9.
8
Ensembl 2019.Ensembl 2019.
Nucleic Acids Res. 2019 Jan 8;47(D1):D745-D751. doi: 10.1093/nar/gky1113.
9
The chromatin accessibility landscape of primary human cancers.原发性人类癌症的染色质可及性图谱。
Science. 2018 Oct 26;362(6413). doi: 10.1126/science.aav1898.
10
The COSMIC Cancer Gene Census: describing genetic dysfunction across all human cancers.COSMIC 癌症基因目录:描述所有人类癌症中的遗传功能障碍。
Nat Rev Cancer. 2018 Nov;18(11):696-705. doi: 10.1038/s41568-018-0060-1.