Affiliations 

  • 1 Department of Cancer Biology and Genetics, The Ohio State University College of Medicine, Columbus, OH 43210, USA
  • 2 The City College of New York, City University of New York, New York, NY, USA
  • 3 Cancer Research Malaysia, Subang Jaya, Selangor 47500, Malaysia
  • 4 Division of Epidemiology, Vanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Nashville, TN 37203
  • 5 Biomedical Sciences, The Ohio State University College of Medicine, Columbus, OH 43210, USA
  • 6 Beckman Research Institute of City of Hope, Department of Population Sciences, Duarte, CA, USA
  • 7 University of California, Helen Diller Family Comprehensive Cancer Center, San Francisco, San Francisco, CA, USA
  • 8 The Ohio State University Comprehensive Cancer Center, Columbus, OH, USA
  • 9 Department of Internal Medicine, Division of Human Genetics, The Ohio State University, Columbus, OH, 43210, USA
  • 10 Department of Medical Oncology & Therapeutics Research, City of Hope National Medical Center, Duarte, CA, USA
  • 11 Department of Biostatistics and Bioinformatics, Roswell Park Comprehensive Cancer Center, Buffalo, NY, USA
  • 12 Department of Cancer Control and Prevention, Roswell Park Comprehensive Cancer Center, Buffalo, NY, USA
  • 13 Slone Epidemiology Center at Boston University, Boston, MA, USA
  • 14 City of Hope Comprehensive Cancer Center, Duarte, CA, USA
  • 15 The Ohio State University Comprehensive Cancer Center, Bioinformatics Shared Resource, Columbus, OH, USA
  • 16 The Ohio State University Comprehensive Cancer Center, Genomics Shared Resource, Columbus, OH, USA
  • 17 Department of Public Health Sciences, University of Chicago, Chicago, IL, 60637, USA
  • 18 The Ohio State University Center for Biostatistics, Department of Biomedical Informatics, Columbus, OH, USA
medRxiv, 2023 Dec 06.
PMID: 38106140 DOI: 10.1101/2023.12.06.23299442

Abstract

BACKGROUND: In breast tumors, somatic mutation frequencies in TP53 and PIK3CA vary by tumor subtype and ancestry. HER2 positive and triple negative breast cancers (TNBC) have a higher frequency of TP53 somatic mutations than other subtypes. PIK3CA mutations are more frequently observed in hormone receptor positive tumors. Emerging data suggest tumor mutation status is associated with germline variants and genetic ancestry. We aimed to identify germline variants that are associated with somatic TP53 or PIK3CA mutation status in breast tumors.

METHODS: A genome-wide association study was conducted using breast cancer mutation status of TP53 and PIK3CA and functional mutation categories including TP53 gain of function (GOF) and loss of function mutations and PIK3CA activating/hotspot mutations. The discovery analysis consisted of 2850 European ancestry women from three datasets. Germline variants showing evidence of association with somatic mutations were selected for validation analyses based on predicted function, allele frequency, and proximity to known cancer genes or risk loci. Candidate variants were assessed for association with mutation status in a multi-ancestry validation study, a Malaysian study, and a study of African American/Black women with TNBC.

RESULTS: The discovery Germline x Mutation (GxM) association study found five variants associated with one or more TP53 phenotypes with P values <1×10-6, 33 variants associated with one or more TP53 phenotypes with P values <1×10-5, and 44 variants associated with one or more PIK3CA phenotypes with P values <1×10-5. In the multi-ancestry and Malaysian validation studies, germline ESR1 locus variant, rs9383938, was associated with the presence of TP53 mutations overall (P values 6.8×10-5 and 9.8×10-8, respectively) and TP53 GOF mutations (P value 8.4×10-6). Multiple variants showed suggestive evidence of association with PIK3CA mutation status in the validation studies, but none were significant after correction for multiple comparisons.

CONCLUSIONS: We found evidence that germline variants were associated with TP53 and PIK3CA mutation status in breast cancers. Variants near the estrogen receptor alpha gene, ESR1, were significantly associated with overall TP53 mutations and GOF mutations. Larger multi-ancestry studies are needed to confirm these findings and determine if these variants contribute to ancestry-specific differences in mutation frequency.

* Title and MeSH Headings from MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine.