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Intratumor Heterogeneity and Branched Evolution Revealed by Multiregion Sequencing

Authors :
Gordon Stamp
Andrew Rowan
Claudio R. Santos
Bradley Spencer-Dene
Aron Charles Eklund
Adam Butler
Patrick S. Tarpey
Lisa Pickering
Nicholas Matthews
Stuart Horswell
Calli Latimer
Julian Downward
James Larkin
Neil Q. McDonald
Aengus Stewart
Zoltan Szallasi
Marco Gerlinger
David Endesfelder
David T. Jones
Martin Gore
Graham Clark
Keiran Raine
P. Andrew Futreal
Sharmin Begum
Eva Grönroos
Ignacio Varela
Charles Swanton
Pierre Martinez
Benjamin Phillimore
Mahrokh Nohadani
Source :
New England Journal of Medicine. 366:883-892
Publication Year :
2012
Publisher :
Massachusetts Medical Society, 2012.

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.)

Details

ISSN :
15334406 and 00284793
Volume :
366
Database :
OpenAIRE
Journal :
New England Journal of Medicine
Accession number :
edsair.doi.dedup.....add1d27f1871b9bd7a69ca65889883d1