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胃癌的分子分析确定了与不同临床结果相关的亚型。

Molecular analysis of gastric cancer identifies subtypes associated with distinct clinical outcomes.

机构信息

Department of Genetics and Pharmacogenomics, Merck Research Laboratories, Merck Sharpe &Dohme, Boston, Massachusetts, USA.

Department of Medicine, Division of Hematology-Oncology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea.

出版信息

Nat Med. 2015 May;21(5):449-56. doi: 10.1038/nm.3850. Epub 2015 Apr 20.

Abstract

Gastric cancer, a leading cause of cancer-related deaths, is a heterogeneous disease. We aim to establish clinically relevant molecular subtypes that would encompass this heterogeneity and provide useful clinical information. We use gene expression data to describe four molecular subtypes linked to distinct patterns of molecular alterations, disease progression and prognosis. The mesenchymal-like type includes diffuse-subtype tumors with the worst prognosis, the tendency to occur at an earlier age and the highest recurrence frequency (63%) of the four subtypes. Microsatellite-unstable tumors are hyper-mutated intestinal-subtype tumors occurring in the antrum; these have the best overall prognosis and the lowest frequency of recurrence (22%) of the four subtypes. The tumor protein 53 (TP53)-active and TP53-inactive types include patients with intermediate prognosis and recurrence rates (with respect to the other two subtypes), with the TP53-active group showing better prognosis. We describe key molecular alterations in each of the four subtypes using targeted sequencing and genome-wide copy number microarrays. We validate these subtypes in independent cohorts in order to provide a consistent and unified framework for further clinical and preclinical translational research.

摘要

胃癌是导致癌症相关死亡的主要原因之一,是一种异质性疾病。我们旨在建立具有临床相关性的分子亚型,以涵盖这种异质性,并提供有用的临床信息。我们使用基因表达数据来描述与不同分子改变模式、疾病进展和预后相关的四种分子亚型。间质样型包括弥漫型肿瘤,其预后最差,发病年龄较早,四种亚型中复发频率最高(63%)。微卫星不稳定型肿瘤是发生在胃窦的高突变型肠型肿瘤;这四种亚型中,它们的总体预后最好,复发频率最低(22%)。肿瘤蛋白 53(TP53)活性和 TP53 非活性型包括具有中间预后和复发率(相对于其他两种亚型)的患者,TP53 活性型的预后较好。我们使用靶向测序和全基因组拷贝数微阵列来描述四种亚型中的关键分子改变。我们在独立队列中验证了这些亚型,以提供一致和统一的框架,用于进一步的临床和临床前转化研究。

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