Journal article
Cell-of-Origin Patterns Dominate the Molecular Classification of 10,000 Tumors from 33 Types of Cancer
KA Hoadley, C Yau, T Hinoue, DM Wolf, AJ Lazar, E Drill, R Shen, AM Taylor, AD Cherniack, V Thorsson, R Akbani, R Bowlby, CK Wong, M Wiznerowicz, F Sanchez-Vega, AG Robertson, BG Schneider, MS Lawrence, H Noushmehr, TM Malta Show all
Cell | CELL PRESS | Published : 2018
Abstract
We conducted comprehensive integrative molecular analyses of the complete set of tumors in The Cancer Genome Atlas (TCGA), consisting of approximately 10,000 specimens and representing 33 types of cancer. We performed molecular clustering using data on chromosome-arm-level aneuploidy, DNA hypermethylation, mRNA, and miRNA expression levels and reverse-phase protein arrays, of which all, except for aneuploidy, revealed clustering primarily organized by histology, tissue type, or anatomic origin. The influence of cell type was evident in DNA-methylation-based clustering, even after excluding sites with known preexisting tissue-type-specific methylation. Integrative clustering further emphasize..
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Awarded by Merck
Funding Acknowledgements
We are grateful to the patients and families who contributed to this study. We also thank the NCI TCGA Program Office and NHGRI coupterpart for organizational and logistical support. This work was supported by NIH grants (U54 HG003273, U54 HG003067, U54 HG003079, U24 CA143799, U24 CA143835, U24 CA143840, U24 CA143843, U24 CA143845, U24 CA143848, U24 CA143858, U24 CA143866, U24 CA143867, U24 CA143882, U24 CA143883, U24 CA144025, and P30 CA016672).