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Spatial genomic heterogeneity within localized, multifocal prostate cancer.

Authors :
Boutros PC
Fraser M
Harding NJ
de Borja R
Trudel D
Lalonde E
Meng A
Hennings-Yeomans PH
McPherson A
Sabelnykova VY
Zia A
Fox NS
Livingstone J
Shiah YJ
Wang J
Beck TA
Have CL
Chong T
Sam M
Johns J
Timms L
Buchner N
Wong A
Watson JD
Simmons TT
P'ng C
Zafarana G
Nguyen F
Luo X
Chu KC
Prokopec SD
Sykes J
Dal Pra A
Berlin A
Brown A
Chan-Seng-Yue MA
Yousif F
Denroche RE
Chong LC
Chen GM
Jung E
Fung C
Starmans MH
Chen H
Govind SK
Hawley J
D'Costa A
Pintilie M
Waggott D
Hach F
Lambin P
Muthuswamy LB
Cooper C
Eeles R
Neal D
Tetu B
Sahinalp C
Stein LD
Fleshner N
Shah SP
Collins CC
Hudson TJ
McPherson JD
van der Kwast T
Bristow RG
Source :
Nature genetics [Nat Genet] 2015 Jul; Vol. 47 (7), pp. 736-45. Date of Electronic Publication: 2015 May 25.
Publication Year :
2015

Abstract

Herein we provide a detailed molecular analysis of the spatial heterogeneity of clinically localized, multifocal prostate cancer to delineate new oncogenes or tumor suppressors. We initially determined the copy number aberration (CNA) profiles of 74 patients with index tumors of Gleason score 7. Of these, 5 patients were subjected to whole-genome sequencing using DNA quantities achievable in diagnostic biopsies, with detailed spatial sampling of 23 distinct tumor regions to assess intraprostatic heterogeneity in focal genomics. Multifocal tumors are highly heterogeneous for single-nucleotide variants (SNVs), CNAs and genomic rearrangements. We identified and validated a new recurrent amplification of MYCL, which is associated with TP53 deletion and unique profiles of DNA damage and transcriptional dysregulation. Moreover, we demonstrate divergent tumor evolution in multifocal cancer and, in some cases, tumors of independent clonal origin. These data represent the first systematic relation of intraprostatic genomic heterogeneity to predicted clinical outcome and inform the development of novel biomarkers that reflect individual prognosis.

Details

Language :
English
ISSN :
1546-1718
Volume :
47
Issue :
7
Database :
MEDLINE
Journal :
Nature genetics
Publication Type :
Academic Journal
Accession number :
26005866
Full Text :
https://doi.org/10.1038/ng.3315