Suppr超能文献

通过二代测序鉴定I期肺腺癌中的体细胞改变。

Identification of somatic alterations in stage I lung adenocarcinomas by next-generation sequencing.

作者信息

Zhao Yuda, Yang Jie, Chen Zhaoli, Gao Zhibo, Zhou Fang, Li Xiangchun, Li Jiagen, Shi Susheng, Feng Xiaoli, Sun Nan, Yao Ran, Zhou Chengcheng, Chang Sheng, Li Miao, Zhou Yong, Li Lin, Zhang Xiuqing, He Jie

机构信息

Department of Thoracic Surgery, Cancer Institute and Hospital, Peking Union Medical College and Chinese Academy of Medical Sciences, Beijing, China.

出版信息

Genes Chromosomes Cancer. 2014 Apr;53(4):289-98. doi: 10.1002/gcc.22138. Epub 2014 Jan 22.

Abstract

Adenocarcinoma is the most common type of lung cancer. Somatic mutations in the early stage of this disease have a tight relationship with tumor initiation and potentially activate downstream pathways that are implicated in tumor progression. In this study, we performed whole genome and exome sequencing of tumor and adjacent normal tissue from 10 patients with stage I lung adenocarcinoma. EGFR (4/10 tumors), BCHE (3/10), and TP53 (2/10) were identified recurrently with validated tumor-specific non-synonymous mutations; and the remaining mutations were specific to individual tumors. Computational methods were used to evaluate the potential effect of non-synonymous mutations on protein function, and putative driver mutation in genes such as SDK1 was predicted. Cell adhesion was the most enriched biological process in gene set analysis using the DAVID database. Copy number amplification at 12q15, which includes MDM2, was identified as a recurrent somatic alteration in 4 of 10 tumors. These findings provided additional information for understanding early-stage lung adenocarcinomas.

摘要

腺癌是最常见的肺癌类型。该疾病早期的体细胞突变与肿瘤发生密切相关,并可能激活与肿瘤进展相关的下游通路。在本研究中,我们对10例I期肺腺癌患者的肿瘤组织和相邻正常组织进行了全基因组和外显子组测序。EGFR(4/10例肿瘤)、BCHE(3/10)和TP53(2/10)被反复鉴定出具有经过验证的肿瘤特异性非同义突变;其余突变则是个别肿瘤所特有的。我们使用计算方法评估非同义突变对蛋白质功能的潜在影响,并预测了SDK1等基因中的推定驱动突变。在使用DAVID数据库进行的基因集分析中,细胞黏附是最富集的生物学过程。12q15处的拷贝数扩增(包括MDM2)被鉴定为10例肿瘤中有4例出现的反复体细胞改变。这些发现为理解早期肺腺癌提供了更多信息。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验