Chen Fengju, Zhang Yiqun, Bossé Dominick, Lalani Aly-Khan A, Hakimi A Ari, Hsieh James J, Choueiri Toni K, Gibbons Don L, Ittmann Michael, Creighton Chad J
Dan L. Duncan Comprehensive Cancer Center Division of Biostatistics, Baylor College of Medicine, Houston, TX, 77030, USA.
Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, 02215, USA.
Nat Commun. 2017 Aug 4;8(1):199. doi: 10.1038/s41467-017-00289-x.
Urologic cancers include cancers of the bladder, kidney, prostate, and testes, with common molecular features spanning different types. Here, we show that 1954 urologic cancers can be classified into nine major genomic subtypes, on the basis of multidimensional and comprehensive molecular characterization (including DNA methylation and copy number, and RNA and protein expression). Tissue dominant effects are first removed computationally in order to define these subtypes, which reveal common processes-reflecting in part tumor microenvironmental influences-driving cellular behavior across tumor lineages. Six of the subtypes feature a mixture of represented cancer types as defined by tissue or cell of origin. Differences in patient survival and in the manifestation of specific pathways-including hypoxia, metabolism, NRF2-ARE, Hippo, and immune checkpoint-can further distinguish the subtypes. Immune checkpoint markers and molecular signatures of macrophages and T cell infiltrates are relatively high within distinct subsets of each cancer type studied. The pan-urologic cancer genomic subtypes would facilitate information sharing involving therapeutic implications between tissue-oriented domains.Urological cancers have disparate tissues and cells of origin but share many molecular features. Here, the authors use multidimensional and comprehensive molecular characterization to classify urological cancers into nine major genomic subtypes, highlighting potential therapeutic targets.
泌尿系统癌症包括膀胱癌、肾癌、前列腺癌和睾丸癌,不同类型的癌症具有共同的分子特征。在此,我们表明,基于多维度和全面的分子特征(包括DNA甲基化、拷贝数、RNA和蛋白质表达),1954例泌尿系统癌症可分为9种主要的基因组亚型。为了定义这些亚型,首先通过计算去除组织主导效应,这些亚型揭示了共同的过程,部分反映了肿瘤微环境的影响,驱动着不同肿瘤谱系中的细胞行为。其中6种亚型具有由组织或起源细胞定义的多种代表性癌症类型的混合。患者生存率和特定通路(包括缺氧、代谢、NRF2-ARE、Hippo和免疫检查点)表现的差异可进一步区分这些亚型。在所研究的每种癌症类型的不同亚组中,免疫检查点标志物以及巨噬细胞和T细胞浸润的分子特征相对较高。泛泌尿系统癌症基因组亚型将促进涉及组织导向领域之间治疗意义的信息共享。泌尿系统癌症有不同的组织和起源细胞,但具有许多共同的分子特征。在此,作者使用多维度和全面的分子特征将泌尿系统癌症分为9种主要的基因组亚型,突出了潜在的治疗靶点。