Whole-Genome Sequencing Reveals Breast Cancers with Mismatch Repair Deficiency

Helen Davies, Sandro Morganella, Colin A. Purdie, Se Jin Jang, Elin Borgen, Hege Russnes, Dominik Glodzik, Xueqing Zou, Alain Viari, Andrea L. Richardson, Anne Lise Børresen-Dale, Alastair Thompson, Jorunn E. Eyfjord, Gu Kong, Michael R. Stratton, Serena Nik-Zainal (Lead / Corresponding author)

    Research output: Contribution to journalArticlepeer-review

    37 Citations (Scopus)

    Abstract

    Mismatch repair (MMR)-deficient cancers have been discovered to be highly responsive to immune therapies such as PD-1 checkpoint blockade, making their definition in patients, where they may be relatively rare, paramount for treatment decisions. In this study, we utilized patterns of mutagenesis known as mutational signatures, which are imprints of the mutagenic processes associated with MMR deficiency, to identify MMR-deficient breast tumors from a whole-genome sequencing dataset comprising a cohort of 640 patients. We identified 11 of 640 tumors as MMR deficient, but only 2 of 11 exhibited germline mutations in MMR genes or Lynch Syndrome. Two additional tumors had a substantially reduced proportion of mutations attributed to MMR deficiency, where the predominant mutational signatures were related to APOBEC enzymatic activity. Overall, 6 of 11 of the MMR-deficient cases in this cohort were confirmed genetically or epigenetically as having abrogation of MMR genes. However, IHC analysis of MMR-related proteins revealed all but one of 10 samples available for testing as MMR deficient. Thus, the mutational signatures more faithfully reported MMR deficiency than sequencing of MMR genes, because they represent a direct pathophysiologic readout of repair pathway abnormalities. As whole-genome sequencing continues to become more affordable, it could be used to expose individually abnormal tumors in tissue types where MMR deficiency has been rarely detected, but also rarely sought. Cancer Res; 77(18); 4755-62. ©2017 AACR.

    Original languageEnglish
    Pages (from-to)4755-4762
    Number of pages8
    JournalCancer Research
    Volume77
    Issue number18
    Early online date14 Sep 2017
    DOIs
    Publication statusPublished - Sep 2017

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