Whole-genome and multisector exome sequencing of primary and post-treatment glioblastoma reveals patterns of tumor evolution

Hoon Kim, Siyuan Zheng, Seyed S. Amini, Selene M. Virk, Tom Mikkelsen, Daniel J. Brat, Jonna Grimsby, Carrie Sougnez, Florian Muller, Jian Hu, Andrew E. Sloan, Mark L. Cohen, Erwin G. Van Meir, Lisa Scarpace, Peter W. Laird, John N. Weinstein, Eric S. Lander, Stacey Gabriel, Gad Getz, Matthew MeyersonLynda Chin, Jill S. Barnholtz-Sloan, Roel G.W. Verhaak

Research output: Contribution to journalArticlepeer-review

287 Scopus citations

Abstract

Glioblastoma (GBM) is a prototypical heterogeneous brain tumor refractory to conventional therapy. A small residual population of cells escapes surgery and chemoradiation, resulting in a typically fatal tumor recurrence ∼7 mo after diagnosis. Understanding the molecular architecture of this residual population is critical for the development of successful therapies. We used whole-genome sequencing and whole-exome sequencing of multiple sectors from primary and paired recurrent GBM tumors to reconstruct the genomic profile of residual, therapy resistant tumor initiating cells. We found that genetic alteration of the p53 pathway is a primary molecular event predictive of a high number of subclonal mutations in glioblastoma. The genomic road leading to recurrence is highly idiosyncratic but can be broadly classified into linear recurrences that share extensive genetic similarity with the primary tumor and can be directly traced to one of its specific sectors, and divergent recurrences that share few genetic alterations with the primary tumor and originate from cells that branched off early during tumorigenesis. Our study provides mechanistic insights into how genetic alterations in primary tumors impact the ensuing evolution of tumor cells and the emergence of subclonal heterogeneity.

Original languageEnglish (US)
Pages (from-to)316-327
Number of pages12
JournalGenome research
Volume25
Issue number3
DOIs
StatePublished - Mar 1 2015

ASJC Scopus subject areas

  • Genetics
  • Genetics(clinical)

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  • Bioinformatics Shared Resource
  • Tissue Biospecimen and Pathology Resource
  • Clinical Trials Office

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