Abstract
Patterns of genomic evolution between primary and metastatic breast cancer have not been studied in large numbers, despite patients with metastatic breast cancer having dismal survival. We sequenced whole genomes or a panel of 365 genes on 299 samples from 170 patients with locally relapsed or metastatic breast cancer. Several lines of analysis indicate that clones seeding metastasis or relapse disseminate late from primary tumors, but continue to acquire mutations, mostly accessing the same mutational processes active in the primary tumor. Most distant metastases acquired driver mutations not seen in the primary tumor, drawing from a wider repertoire of cancer genes than early drivers. These include a number of clinically actionable alterations and mutations inactivating SWI-SNF and JAK2-STAT3 pathways.
Original language | English |
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Article number | e7 |
Pages (from-to) | 169-184 |
Journal | Cancer Cell |
Volume | 32 |
Issue number | 2 |
DOIs | |
Publication status | Published - 14 Aug 2017 |
Keywords
- Breast cancer
- Metastasis
- Relapse
- Genomics
- Somatic mutation
Fingerprint
Dive into the research topics of 'Genomic evolution of breast cancer metastasis and relapse'. Together they form a unique fingerprint.Profiles
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Andy Lynch
- School of Medicine - Professor of Statistics in Bioscience
- School of Mathematics and Statistics - Professor
- Sir James Mackenzie Institute for Early Diagnosis
- St Andrews Bioinformatics Unit
- Cellular Medicine Division
Person: Academic
Datasets
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Genomic Evolution of Breast Cancer Metastasis and Relapse (dataset)
Lynch, A. (Creator), European Genome-phenome Archive (EGA), 2017
https://www.ebi.ac.uk/ega/datasets/EGAD00001002698 and 2 more links, https://www.ebi.ac.uk/ega/datasets/EGAD00001002697, https://www.ebi.ac.uk/ega/datasets/EGAD00001002696 (show fewer)
Dataset
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Genomic evolution of breast cancer metastasis and relapse - Yates et al.
Campbell, P. (Creator) & Lynch, A. (Creator), Mendeley Data, 28 Jun 2017
Dataset