Multi-platform analysis of 12 cancer types reveals molecular classification within and across tissues-of-origin

By Katherine A. Hoadley, C. Yau, D. Wolf, A. Cherniack, David Tamborero, S. Ng, Max D. M. Leiserson, Beifang Niu, M. McLellan, Vladislav Uzunangelov and 22 more. Cell, 2014

1,400 citations recorded by the source corpus.

Recent genomic analyses of pathologically-defined tumor types identify “within-a-tissue” disease subtypes. However, the extent to which genomic signatures are shared across tissues is still unclear. We performed an integrative analysis using five genome-wide platforms and one proteomic platform on 3,527 specimens from 12 cancer types, revealing a unified classification into 11 major subtypes. Five subtypes were nearly identical to their tissue-of-origin counterparts, but several distinct cancer types were found to converge into common subtypes. Lung squamous, head & neck, and a subset of bladder cancers coalesced into one subtype typified by TP53 alterations, TP63 amplifications, and high expression of immune and proliferation pathway genes. Of note, bladder cancers split into three pan-cancer subtypes. The multi-platform classification, while correlated with tissue-of-origin, provides independent information for predicting clinical outcomes. All datasets are available for data-mining from a unified resource to support further biological discoveries and insights into novel therapeutic strategies.

Subfields: Cancer Research, Oncology, Surgery

View Paper: https://www.semanticscholar.org/paper/0ea5986ceaff3ab9093f97563eff07424316b11b

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Citations in the corpus

Glioblastoma: pathology, molecular mechanisms and markers (2015, background): “Going further, several recent studies have utilized high-throughput genomic, epigenomic, and transcriptomic approaches for detailed molecular characterization of gliomas [18, 66, 166, 176].”
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