Intratumor heterogeneity and branched evolution revealed by multiregion sequencing.
Marco Gerlinger,Andrew Rowan,Stuart Horswell,James Larkin,David Endesfelder,Eva Grönroos,Pierre Martinez,Nicholas Matthews,Aengus Stewart,Patrick S. Tarpey,Ignacio Varela,Benjamin Phillimore,Sharmin Begum,Neil Q. McDonald,Adam Butler,David T. Jones,Keiran Raine,Calli Latimer,Claudio R. Santos,Mahrokh Nohadani,Aron Charles Eklund,Bradley Spencer-Dene,Graham Clark,Lisa Pickering,Gordon Stamp,Martin Gore,Zoltan Szallasi,Zoltan Szallasi,Julian Downward,P. Andrew Futreal,Charles Swanton +30 more
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TLDR
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.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.)read more
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TL;DR: The genome sequence of single cells isolated from brain glioblastomas was examined, which revealed shared chromosomal changes but also extensive transcription variation, including genes related to signaling, which represent potential therapeutic targets.
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TL;DR: It is reported that high-grade serous ovarian cancer is characterized by TP53 mutations in almost all tumours (96%); low prevalence but statistically recurrent somatic mutations in nine further genes including NF1, BRCA1,BRCA2, RB1 and CDK12; 113 significant focal DNA copy number aberrations; and promoter methylation events involving 168 genes.
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TL;DR: The Cancer Genome Atlas project has analyzed messenger RNA expression, microRNA expression, promoter methylation and DNA copy number in 489 high-grade serous ovarian adenocarcinomas and the DNA sequences of exons from coding genes in 316 of these tumours as mentioned in this paper.
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An Integrated Genomic Analysis of Human Glioblastoma Multiforme
D. Williams Parsons,Siân Jones,Xiaosong Zhang,Jimmy Lin,Rebecca J. Leary,Philipp Angenendt,Parminder Mankoo,Hannah Carter,I-Mei Siu,Gary L. Gallia,Alessandro Olivi,Roger E. McLendon,B.K. Ahmed Rasheed,Stephen T. Keir,Tatiana Nikolskaya,Yuri Nikolsky,Dana A. Busam,Hanna Tekleab,Luis A. Diaz,James Hartigan,Doug R. Smith,Robert L. Strausberg,Suely Kazue Nagahashi Marie,Sueli Mieko Oba Shinjo,Hai Yan,Gregory J. Riggins,Darell D. Bigner,Rachel Karchin,Nick Papadopoulos,Giovanni Parmigiani,Bert Vogelstein,Victor E. Velculescu,Kenneth W. Kinzler +32 more
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Core Signaling Pathways in Human Pancreatic Cancers Revealed by Global Genomic Analyses
Siân Jones,Xiaosong Zhang,D. Williams Parsons,D. Williams Parsons,Jimmy Lin,Rebecca J. Leary,Philipp Angenendt,Parminder Mankoo,Hannah Carter,Hirohiko Kamiyama,Antonio Jimeno,Seung-Mo Hong,Baojin Fu,Ming Tseh Lin,Eric S. Calhoun,Mihoko Kamiyama,Kimberly Walter,Tatiana Nikolskaya,Yuri Nikolsky,James Hartigan,Douglas Smith,Manuel Hidalgo,Steven D. Leach,Alison P. Klein,Elizabeth M. Jaffee,Michael Goggins,Anirban Maitra,Anirban Maitra,Christine A. Iacobuzio-Donahue,James R. Eshleman,Scott E. Kern,Ralph H. Hruban,Rachel Karchin,Nickolas Papadopoulos,Giovanni Parmigiani,Bert Vogelstein,Victor E. Velculescu,Kenneth W. Kinzler +37 more
TL;DR: It is found that pancreatic cancers contain an average of 63 genetic alterations, the majority of which are point mutations, which defined a core set of 12 cellular signaling pathways and processes that were each genetically altered in 67 to 100% of the tumors.
PatentDOI
Consensus coding sequences of human breast and colorectal cancers
Tobias Sjöblom,Sian Jones,D. Williams Parsons,Laura D. Wood,Jimmy Lin,Thomas D. Barber,Diana Mandelker,Bert Vogelstein,Kenneth W. Kinzler,Victor E. Velculesu +9 more
TL;DR: In this paper, the authors analyzed 13,023 genes in 11 breast and 11 colorectal cancers and found that individual tumors accumulate an average of 90 mutant genes but only a subset of these contribute to the neoplastic process.