Intratumor Heterogeneity and Branched Evolution Revealed by Multiregion Sequencing

Marco Gerlinger(Barts Health NHS Trust), Andrew J. Rowan(Cancer Research UK), Stuart Horswell(Cancer Research UK), James Larkin(Royal Marsden Hospital), David Endesfelder(Cancer Research UK), Eva Grönroos(Cancer Research UK), Pierre Martinez(Cancer Research UK), Nicholas Matthews(Cancer Research UK), Aengus Stewart(Cancer Research UK), Patrick Tarpey(Wellcome Sanger Institute), Ignacio Varela(Wellcome Sanger Institute), Benjamin Phillimore(Cancer Research UK), Sharmin Begum(Cancer Research UK), Neil Q. McDonald(Cancer Research UK), Adam Butler(Wellcome Sanger Institute), David Jones(Wellcome Sanger Institute), Keiran Raine(Wellcome Sanger Institute), Calli Latimer(Wellcome Sanger Institute), Cláudio R. Santos(Cancer Research UK), Mahrokh Nohadani(Royal Marsden Hospital), Aron C. Eklund(Norwegian Womens Public Health Association), Bradley Spencer‐Dene(Cancer Research UK), Graham Clark(Cancer Research UK), Lisa Pickering(Royal Marsden Hospital), Gordon Stamp(Cancer Research UK), Martin Gore(Royal Marsden Hospital), Zoltán Szállási(Harvard University), Julian Downward(Cancer Research UK), P. Andrew Futreal(Wellcome Sanger Institute), Charles Swanton(Cancer Research UK)
New England Journal of Medicine
March 7, 2012
Cited by 7,786Open Access
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Abstract

BACKGROUND: Intratumor heterogeneity may foster tumor evolution and adaptation and hinder personalized-medicine strategies that depend on results from single tumor-biopsy samples. METHODS: To examine intratumor heterogeneity, we performed exome sequencing, chromosome aberration analysis, and ploidy profiling on multiple spatially separated samples obtained from primary renal carcinomas and associated metastatic sites. We characterized the consequences of intratumor heterogeneity using immunohistochemical analysis, mutation functional analysis, and profiling of messenger RNA expression. RESULTS: Phylogenetic reconstruction revealed branched evolutionary tumor growth, with 63 to 69% of all somatic mutations not detectable across every tumor region. Intratumor heterogeneity was observed for a mutation within an autoinhibitory domain of the mammalian target of rapamycin (mTOR) kinase, correlating with S6 and 4EBP phosphorylation in vivo and constitutive activation of mTOR kinase activity in vitro. Mutational intratumor heterogeneity was seen for multiple tumor-suppressor genes converging on loss of function; SETD2, PTEN, and KDM5C underwent multiple distinct and spatially separated inactivating mutations within a single tumor, suggesting convergent phenotypic evolution. Gene-expression signatures of good and poor prognosis were detected in different regions of the same tumor. Allelic composition and ploidy profiling analysis revealed extensive intratumor heterogeneity, with 26 of 30 tumor samples from four tumors harboring divergent allelic-imbalance profiles and with ploidy heterogeneity in two of four tumors. CONCLUSIONS: Intratumor heterogeneity can lead to underestimation of the tumor genomics landscape portrayed from single tumor-biopsy samples and may present major challenges to personalized-medicine and biomarker development. Intratumor heterogeneity, associated with heterogeneous protein function, may foster tumor adaptation and therapeutic failure through Darwinian selection. (Funded by the Medical Research Council and others.).


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