Intratumor Heterogeneity and Branched Evolution Revealed by Multiregion Sequencing

Внутриопухолевая гетерогенность и ветвящаяся эволюция, выявленные при многорегионном секвенировании
Julian Downward, James Larkin, Eva Grönroos, Zoltán Szállási, Grant D. Stewart, Charles Swanton, Keiran Raine, P. Andrew Futreal, Patrick Tarpey, Bradley Spencer‐Dene, Nicholas Matthews, Gordon Stamp, David Jones, Ignacio Varela, Calli Latimer, Stuart Horswell, Aron C. Eklund, Neil Q. McDonald, Sharmin Begum, Benjamin Phillimore, Graham Clark, Marco Gerlinger, Andrew J. Rowan, David Endesfelder, Pierre Martinez, Adam Butler, Cláudio R. Santos, Mahrokh Nohadani, Lisa Pickering, Martin Gore, Aengus Stewart
2012-03-07

branched tumor evolutionintratumor heterogeneitymultiregion sequencingphylogenetic reconstructionrenal cell carcinoma
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.).
1
An intratumorally heterogeneous mTOR autoinhibitory-domain mutation correlated with S6 and 4EBP phosphorylation in vivo and constitutive mTOR activation in vitro.
2
Different regions of the same tumor displayed both good- and poor-prognosis gene-expression signatures, demonstrating functional and prognostic heterogeneity.
3
Divergent allelic-imbalance profiles occurred in 26 of 30 samples, while ploidy heterogeneity occurred in two of four tumors, showing extensive genomic variation.
4
Multiregion sequencing of renal carcinomas revealed branched tumor evolution, with 63–69% of somatic mutations absent from at least some tumor regions.
5
SETD2, PTEN, and KDM5C acquired distinct spatially separated inactivating mutations within individual tumors, indicating convergent phenotypic evolution.
6
Single-biopsy analyses may substantially underestimate tumor genomic diversity, complicating personalized treatment and biomarker development and potentially enabling therapeutic failure.

Primary renal carcinomas and associated metastatic sites sampled from multiple spatially separated tumor regions

Intratumor heterogeneity and branched evolutionary dynamics, including spatial variation in somatic mutations, gene function, gene-expression signatures, allelic composition, and ploidy

Publication Details
Publication Date
2012-03-07
Journal
Publisher
ISSN
Access Type
Author Information
Authors
Julian Downward
James Larkin
Eva Grönroos
Zoltán Szállási
Grant D. Stewart
Charles Swanton
Keiran Raine
P. Andrew Futreal
Patrick Tarpey
Bradley Spencer‐Dene
Nicholas Matthews
Gordon Stamp
David Jones
Ignacio Varela
Calli Latimer
Stuart Horswell
Aron C. Eklund
Neil Q. McDonald
Sharmin Begum
Benjamin Phillimore
Graham Clark
Marco Gerlinger
Andrew J. Rowan
David Endesfelder
Pierre Martinez
Adam Butler
Cláudio R. Santos
Mahrokh Nohadani
Lisa Pickering
Martin Gore
Aengus Stewart
Explore further
Open the scid.ai AI chat with a ready-made request: it will find papers on a similar topic and help build a literature review.
Find similar papers in the chat
Make a presentation
100%