4.5 Article

Clinical implications of prospective genomic profiling of metastatic breast cancer patients

Journal

BREAST CANCER RESEARCH
Volume 22, Issue 1, Pages -

Publisher

BMC
DOI: 10.1186/s13058-020-01328-0

Keywords

Breast cancer; Metastasis; Genomic profiling; Personalised medicine

Categories

Funding

  1. Breast Cancer Trials Group Australia and New Zealand
  2. Peter MacCallum Foundation Women's Health Initiative
  3. Royal Australian College of Physicians
  4. NHMRC
  5. NBCF
  6. Cancer Therapeutics CRC scholarship
  7. National Breast Cancer Foundation of Australia
  8. Breast Cancer Research Foundation, New York
  9. Australian Government

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Background Metastatic breast cancer remains incurable. Next-generation sequencing (NGS) offers the ability to identify actionable genomic alterations in tumours which may then be matched with targeted therapies, but the implementation and utility of this approach is not well defined for patients with metastatic breast cancer. Methods We recruited patients with advanced breast cancer of any subtype for prospective targeted NGS of their most recent tumour samples, using a panel of 108 breast cancer-specific genes. Genes were classified as actionable or non-actionable using the European Society of Medical Oncology Scale for Clinical Actionability of Molecular Targets (ESCAT) guidelines. Results Between February 2014 and May 2019, 322 patients were enrolled onto the study, with 72% (n = 234) of patients successfully sequenced (n = 357 samples). The majority (74%,n = 171) of sequenced patients were found to carry a potentially actionable alteration, the most common being aPIK3CAmutation. Forty-three percent (n = 74) of patients with actionable alterations were referred for a clinical trial or referred for confirmatory germline testing or had a change in therapy outside of clinical trials. We found alterations inAKT1,BRCA2,CHEK2, ESR1,FGFR1,KMT2C,NCOR1,PIK3CAandTSC2to be significantly enriched in our metastatic population compared with primary breast cancers. Concordance between primary and metastatic samples for key driver genes (TP53,ERBB2amplification) was > 75%. Additionally, we found that patients with a higher number of mutations had a significantly worse overall survival. Conclusion Genomic profiling of patients with metastatic breast cancer can have clinical implications and should be considered in all suitable patients.

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