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人类癌组织中的体细胞突变图谱

Somatic mutaome profile in human cancer tissues.

作者信息

Kim Nayoung, Hong Yourae, Kwon Doyoung, Yoon Sukjoon

机构信息

Department of Biological Sciences, Center for Advanced Bioinformatics and Systems Medicine, Sookmyung Women's University, Seoul 140-742, Korea.

出版信息

Genomics Inform. 2013 Dec;11(4):239-44. doi: 10.5808/GI.2013.11.4.239. Epub 2013 Dec 31.

Abstract

Somatic mutation is a major cause of cancer progression and varied responses of tumors against anticancer agents. Thus, we must obtain and characterize genome-wide mutational profiles in individual cancer subtypes. The Cancer Genome Atlas database includes large amounts of sequencing and omics data generated from diverse human cancer tissues. In the present study, we integrated and analyzed the exome sequencing data from 3,000 tissue samples and summarized the major mutant genes in each of the diverse cancer subtypes and stages. Mutations were observed in most human genes (23,000 genes) with low frequency from an analysis of 11 major cancer subtypes. The majority of tissue samples harbored 20-80 different mutant genes, on average. Lung cancer samples showed a greater number of mutations in diverse genes than other cancer subtypes. Only a few genes were mutated with over 5% frequency in tissue samples. Interestingly, mutation frequency was generally similar between non-metastatic and metastastic samples in most cancer subtypes. Among the 12 major mutations, the TP53, USH2A, TTN, and MUC16 genes were found to be frequent in most cancer types, while BRAF, FRG1B, PBRM1, and VHL showed lineage-specific mutation patterns. The present study provides a useful resource to understand the broad spectrum of mutation frequencies in various cancer types.

摘要

体细胞突变是癌症进展以及肿瘤对抗癌药物产生不同反应的主要原因。因此,我们必须获取并表征个体癌症亚型的全基因组突变谱。癌症基因组图谱数据库包含了从各种人类癌症组织中生成的大量测序和组学数据。在本研究中,我们整合并分析了约3000个组织样本的外显子组测序数据,总结了不同癌症亚型和阶段中主要的突变基因。通过对11种主要癌症亚型的分析发现,大多数人类基因(约23000个基因)都存在低频突变。大多数组织样本平均含有20 - 80个不同的突变基因。肺癌样本中不同基因的突变数量比其他癌症亚型更多。在组织样本中,只有少数基因的突变频率超过5%。有趣的是,在大多数癌症亚型中,非转移性样本和转移性样本之间的突变频率通常相似。在这12种主要突变中,发现TP53、USH2A、TTN和MUC16基因在大多数癌症类型中较为常见,而BRAF、FRG1B、PBRM1和VHL则表现出谱系特异性的突变模式。本研究为了解各种癌症类型中广泛的突变频率提供了有用的资源。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9106/3897852/5addaf907448/gni-11-239-g001.jpg

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