The genomic landscape of metastatic breast cancer highlights changes in mutation and signature frequencies

Lindsay Angus, Marcel Smid, Saskia M Wilting, Job van Riet, Arne Van Hoeck, Luan Nguyen, Serena Nik-Zainal, Tessa G Steenbruggen, Vivianne C G Tjan-Heijnen, Mariette Labots, Johanna M G H van Riel, Haiko J Bloemendal, Neeltje Steeghs, Martijn P Lolkema, Emile E Voest, Harmen J G van de Werken, Agnes Jager, Edwin Cuppen, Stefan Sleijfer, John W M Martens

Research output: Contribution to journalArticleAcademicpeer-review

Abstract

The whole-genome sequencing of prospectively collected tissue biopsies from 442 patients with metastatic breast cancer reveals that, compared to primary breast cancer, tumor mutational burden doubles, the relative contributions of mutational signatures shift and the mutation frequency of six known driver genes increases in metastatic breast cancer. Significant associations with pretreatment are also observed. The contribution of mutational signature 17 is significantly enriched in patients pretreated with fluorouracil, taxanes, platinum and/or eribulin, whereas the de novo mutational signature I identified in this study is significantly associated with pretreatment containing platinum-based chemotherapy. Clinically relevant subgroups of tumors are identified, exhibiting either homologous recombination deficiency (13%), high tumor mutational burden (11%) or specific alterations (24%) linked to sensitivity to FDA-approved drugs. This study provides insights into the biology of metastatic breast cancer and identifies clinically useful genomic features for the future improvement of patient management.

Original languageEnglish
Pages (from-to)1450-1458
Number of pages9
JournalNature Genetics
Volume51
Issue number10
Early online date30 Sep 2019
DOIs
Publication statusPublished - 1 Oct 2019

Cite this

Angus, L., Smid, M., Wilting, S. M., van Riet, J., Van Hoeck, A., Nguyen, L., ... Martens, J. W. M. (2019). The genomic landscape of metastatic breast cancer highlights changes in mutation and signature frequencies. Nature Genetics, 51(10), 1450-1458. https://doi.org/10.1038/s41588-019-0507-7