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基于多区域测序的基因组进化模式揭示非小细胞肺癌的亚型。

Revealing the subtyping of non-small cell lung cancer based on genomic evolutionary patterns by multi-region sequencing.

机构信息

College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, Heilongjiang, China.

The Fourth Hospital of Harbin Medical University, Harbin, China.

出版信息

Cancer Med. 2020 Dec;9(24):9485-9498. doi: 10.1002/cam4.3541. Epub 2020 Oct 20.

DOI:10.1002/cam4.3541
PMID:33078899
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7774747/
Abstract

Accurately classifying patients with non-small cell lung cancer (NSCLC) from the perspective of tumor evolution has not been systematically studied to date. Here, we reconstructed phylogenetic relationships of somatic mutations in 100 early NSCLC patients (327 lesions) through reanalyzing the TRACERx data. Based on the genomic evolutionary patterns presented on the phylogenetic trees, we grouped NSCLC patients into three evolutionary subtypes. The phylogenetic trees among three subtypes exhibited distinct branching structures, with one subtype representing branched evolution and another reflecting the early accumulation of genomic variation. However, in the evolutionary pattern of the third subtype, some mutations experienced selective sweeps and were gradually replaced by multiple newly formed subclonal populations. The subtype patients with poor prognosis had higher intra-tumor heterogeneity and subclonal diversity. We combined genomic heterogeneity with clinical phenotypes analysis and found that subclonal expansion results in the progression and deterioration of the tumor. The molecular mechanisms of subtype-specific Early Driver Feature (EDF) genes differed across the evolutionary subtypes, reflecting the characteristics of the subtype itself. In summary, our study provided new insights on the stratification of NSCLC patients based on genomic evolution that can be valuable for us to understand the development of pulmonary tumor profoundly.

摘要

迄今为止,从肿瘤进化的角度准确地对非小细胞肺癌(NSCLC)患者进行分类尚未得到系统研究。在这里,我们通过重新分析 TRACERx 数据,重建了 100 例早期 NSCLC 患者(327 个病变)的体细胞突变系统发育关系。基于系统发育树上呈现的基因组进化模式,我们将 NSCLC 患者分为三种进化亚型。三个亚型之间的系统发育树显示出不同的分支结构,一个亚型代表分支进化,另一个亚型反映了基因组变异的早期积累。然而,在第三个亚型的进化模式中,一些突变经历了选择清除,并逐渐被多个新形成的亚克隆群体所取代。预后不良的亚型患者具有更高的肿瘤内异质性和亚克隆多样性。我们将基因组异质性与临床表型分析相结合,发现亚克隆扩张导致肿瘤的进展和恶化。特定于亚型的早期驱动特征(EDF)基因的分子机制在进化亚型之间存在差异,反映了亚型本身的特征。总之,我们的研究为基于基因组进化的 NSCLC 患者分层提供了新的见解,这对于我们深入了解肺肿瘤的发展具有重要价值。

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phyC: Clustering cancer evolutionary trees.phyC:聚类癌症进化树。
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