Genomic and Molecular Landscape of DNA Damage Repair Deficiency across The Cancer Genome Atlas

Theo Knijnenburg, Linghua Wang, Michael T. Zimmermann, Nyasha Chambwe, Galen F. Gao, Andrew D. Cherniack, Huihui Fan, Hui Shen, Gregory P. Way, Casey S. Greene, Yuexin Liu, Rehan Akbani, Bin Feng, Lawrence A. Donehower, Chase Miller, Yang Shen, Mostafa Karimi, Haoran Chen, Pora Kim, Peilin JiaEve Shinbrot, Shaojun Zhang, Jianfang Liu, Hai Hu, Matthew H. Bailey, Christina Yau, Denise Wolf, Zhongming Zhao, John N. Weinstein, Lei Li, Li Ding, Gordon B. Mills, Peter W. Laird, David A. Wheeler, Ilya Shmulevich, Samantha J. Caesar-Johnson, John A. Demchok, Ina Felau, Melpomeni Kasapi, Martin L. Ferguson, Carolyn M. Hutter, Heidi J. Sofia, Roy Tarnuzzer, Zhining Wang, Liming Yang, Jean C. Zenklusen, Jiashan (Julia) Zhang, Sudha Chudamani, Henri Timmers, Ronald de Krijger,

Research output: Contribution to journalArticleAcademicpeer-review

6 Citations (Scopus)


DNA damage repair (DDR) pathways modulate cancer risk, progression, and therapeutic response. We systematically analyzed somatic alterations to provide a comprehensive view of DDR deficiency across 33 cancer types. Mutations with accompanying loss of heterozygosity were observed in over 1/3 of DDR genes, including TP53 and BRCA1/2. Other prevalent alterations included epigenetic silencing of the direct repair genes EXO5, MGMT, and ALKBH3 in ∼20% of samples. Homologous recombination deficiency (HRD) was present at varying frequency in many cancer types, most notably ovarian cancer. However, in contrast to ovarian cancer, HRD was associated with worse outcomes in several other cancers. Protein structure-based analyses allowed us to predict functional consequences of rare, recurrent DDR mutations. A new machine-learning-based classifier developed from gene expression data allowed us to identify alterations that phenocopy deleterious TP53 mutations. These frequent DDR gene alterations in many human cancers have functional consequences that may determine cancer progression and guide therapy. Knijnenburg et al. present The Cancer Genome Atlas (TCGA) Pan-Cancer analysis of DNA damage repair (DDR) deficiency in cancer. They use integrative genomic and molecular analyses to identify frequent DDR alterations across 33 cancer types, correlate gene- and pathway-level alterations with genome-wide measures of genome instability and impaired function, and demonstrate the prognostic utility of DDR deficiency scores.

Original languageEnglish
Pages (from-to)239-254.e6
JournalCell Reports
Issue number1
Publication statusPublished - 3 Apr 2018


  • DNA damage footprints
  • DNA damage repair
  • epigenetic silencing
  • integrative statistical analysis
  • mutational signatures
  • protein structure analysis
  • somatic copy-number alterations
  • somatic mutations
  • The Cancer Genome Atlas PanCanAtlas project


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