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Integrating genetic mutations and expression profiles for survival prediction of lung adenocarcinoma

机译:整合遗传突变和表达曲线以进行肺腺癌的存活预测

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Lung adenocarcinoma (LUAD) is a set of heterogeneous diseases with distinct genetic and transcriptomic characteristics. Since the introduction of the 2011 International Association for the Study of Lung Cancer/American Thoracic Society/European Respiratory Society histologic classification, increasing evidence has provided insights into genomic mutations and rearrangements among individual histologic subtypes of LUAD. However, how genotypic and phenotypic features of LUAD are interconnected is not well understood. We obtained the genomic, transcriptomic, and clinical data sets of 488 LUAD patients from The Cancer Genome Atlas database. Advanced statistical models were used to disentangle the interactions between genetic mutations and expression profiles, and to assess the alterations and changes in expression of each histologic subtype. The prognostic impacts of genetic mutations, expression profiles, and clinicopathological features were integrated to predict the outcomes of LUAD patients. From our data, one or more genetic mutations correlate with expression levels of 6054/18175 (33.3%) genes and explain 8-40% of observed variability in LUAD. The genetic mutations and expression profiles varied remarkably among the histologic subtypes of LUAD, which helped to explain the different prognostic impact based on subtype classification. Genomic, transcriptomic, and clinical data were all shown to have utility for predicting overall and recurrence-free survival, with the largest contribution from the transcriptome. Our prediction model integrating genetic mutations, expression profiles, and clinicopathological features exhibited superior accuracy over the current tumor node metastasis staging system to prognosticate outcomes of patients with LUAD (overall survival 67% vs. 55%, recurrence-free survival 57% vs. 49%; P??0.01). ? 2019 The Authors. Thoracic Cancer published by China Lung Oncology Group and John Wiley & Sons Australia, Ltd.
机译:肺腺癌(Luad)是一组具有明显遗传和转录组特征的异质疾病。自2011年国际肺癌/美国胸部学会/欧洲呼吸学社会学习组织学分类的介绍以来,越来越多的证据已经为拉德的个体组织学亚型中的基因组突变和重排提供了见解。然而,管道的基因型和表型特征是如何相互联系的。我们从癌症基因组Atlas数据库中获得了488名鲁拉患者的基因组,转录组和临床数据集。高级统计模型用于解解遗传突变与表达谱系之间的相互作用,并评估每种组织学亚型表达的改变和变化。遗传突变,表达谱和临床病理学特征的预后影响被整合到预测水路患者的结果。从我们的数据中,一种或多种遗传突变与6054/18175(33.3%)基因的表达水平相关,并解释了拉德的8-40%观察到的变异性。遗传突变和表达型曲线在路障的组织学亚型中显着变化,这有助于解释基于亚型分类的不同预后影响。基因组,转录组和临床数据都显示出具有预测总体和无复发的存活率的效用,具有转录组的最大贡献。我们的预测模型,集成遗传突变,表达谱和临床病理学特征在目前的肿瘤节点转移分期系统上表现出优异的精度,以预后对拉拉患者的预后结果(总体生存率67%与55%,复发存活57%Vs. 49 %; p?<?0.01)。 ? 2019年的作者。中国肺部肿瘤集团和约翰瓦里和儿子澳大利亚发表的胸癌

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