Chen F, Zhang Y, Parra E, Rodriguez J, Behrens C, Akbani R, Lu Y, Kurie J M, Gibbons D L, Mills G B, Wistuba I I, Creighton C J
Dan L. Duncan Comprehensive Cancer Center, Division of Biostatistics, Baylor College of Medicine, Houston, TX, USA.
Department of Translational Molecular Pathology, The University of Texas MD Anderson Cancer, Houston, TX, USA.
Oncogene. 2017 Mar;36(10):1384-1393. doi: 10.1038/onc.2016.303. Epub 2016 Oct 24.
Non-small-cell lung cancer (NSCLC) demonstrates remarkable molecular diversity. With the completion of The Cancer Genome Atlas (TCGA), there is opportunity for systematic analyses of the entire TCGA NSCLC cohort, including comparisons and contrasts between different disease subsets. On the basis of multidimensional and comprehensive molecular characterization (including DNA methylation and copy, and RNA and protein expression), 1023 NSCLC cases-519 from TCGA adenocarcinoma (AD) project and 504 from TCGA squamous cell carcinoma (SQCC) project-were classified using a 'cluster-of-clusters' analytic approach. Patterns from TCGA NSCLC subsets were examined in independent external databases, including the PROSPECT (Profiling of Resistance patterns and Oncogenic Signaling Pathways in Evaluation of Cancers of the Thorax) NSCLC data set. Nine genomic subtypes of NSCLC were identified, three within SQCC and six within AD. SQCC subtypes were associated with transcriptional targets of SOX2 or p63. One predominately AD subtype (with a large proportion of SQCC) shared molecular features with neuroendocrine tumors. Two AD subtypes manifested a CpG island methylator phenotype. Three AD subtypes showed high p38 and mTOR pathway activation. AD subtypes associated with low differentiation showed relatively worse prognosis. SQCC subtypes and two of the AD subtypes expressed cancer testis antigen genes, whereas three AD subtypes expressed several immune checkpoint genes including PDL1 and PDL2, corresponding with patterns of greater immune cell infiltration. Subtype associations for several immune-related markers-including PD1, PDL1, CD3 and CD8-were confirmed in the PROSPECT cohort using immunohistochemistry. NSCLC molecular subtypes have therapeutic implications and lend support to a personalized approach to NSCLC management based on molecular characterization.
非小细胞肺癌(NSCLC)具有显著的分子多样性。随着癌症基因组图谱(TCGA)项目的完成,有机会对整个TCGA NSCLC队列进行系统分析,包括不同疾病亚组之间的比较和对比。基于多维和全面的分子特征分析(包括DNA甲基化、拷贝数以及RNA和蛋白质表达),采用“聚类之聚类”分析方法对1023例NSCLC病例进行了分类,其中519例来自TCGA腺癌(AD)项目,504例来自TCGA鳞状细胞癌(SQCC)项目。在包括PROSPECT(胸部癌症评估中的耐药模式和致癌信号通路分析)NSCLC数据集在内的独立外部数据库中,研究了TCGA NSCLC亚组的模式。确定了9种NSCLC基因组亚型,其中3种在SQCC中,6种在AD中。SQCC亚型与SOX2或p63的转录靶点相关。一种主要为AD的亚型(含有很大比例的SQCC)与神经内分泌肿瘤具有共同的分子特征。两种AD亚型表现出CpG岛甲基化表型。三种AD亚型显示出高p38和mTOR通路激活。与低分化相关的AD亚型预后相对较差。SQCC亚型和两种AD亚型表达癌症睾丸抗原基因,而三种AD亚型表达包括PDL1和PDL2在内的几种免疫检查点基因,这与更大程度的免疫细胞浸润模式相对应。使用免疫组织化学在PROSPECT队列中证实了几种免疫相关标志物(包括PD1、PDL1、CD3和CD8)的亚型关联。NSCLC分子亚型具有治疗意义,并支持基于分子特征的NSCLC个性化管理方法。