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Association of germline genetic variants with breast cancer-specific survival in patient subgroups defined by clinic-pathological variables related to tumor biology and type of systemic treatment

  • NBCS Collaborators
  • , ABCTB Investigators
  • , KConFab Investigators
  • , KConFab Investigators
  • Department of Cancer Genetics
  • University of Oslo
  • Faculty of Medicine
  • Department of Research
  • Vestre Viken Hospital
  • Section for Breast and Endocrine Surgery
  • Department of Pathology
  • Department of Tumor Biology
  • Department of Oncology
  • Department of Oncology
  • Breast Cancer Research Consortium
  • Department of Medical Genetics
  • University of Sydney
  • Research Department
  • Peter Maccallum Cancer Centre
  • University of Melbourne
  • Antoni van Leeuwenhoek Hospital
  • Queensland Institute of Medical Research
  • National Institutes of Health
  • University of Toronto
  • University of California at Irvine
  • German Cancer Research Center
  • Fred Hutchinson Cancer Research Center
  • University of Wisconsin-Milwaukee
  • Lund University
  • University of Hamburg
  • Friedrich-Alexander University Erlangen-Nürnberg
  • University of Copenhagen
  • University of Cambridge
  • Ruhr University Bochum
  • University of Utah
  • Kaiser Permanente
  • University of Pisa
  • Oncology and Genetics Unit
  • Roswell Park Cancer Institute
  • Mayo Clinic
  • University of Sheffield
  • Karolinska Institutet
  • Hannover Medical School
  • International Agency for Research on Cancer
  • University of Westminster
  • University of Southampton
  • Brigham and Women's Hospital
  • Harvard University
  • University of Manchester
  • Manchester University NHS Foundation Trust
  • University of California at Los Angeles
  • Curtin University
  • Instituto de Investigación Sanitaria de Santiago de Compostela
  • University of California at San Diego
  • Hospital Clínico San Carlos de Madrid
  • Cancer Council Victoria
  • Centre for Epidemiology and Biostatistics
  • Monash University
  • University of Oulu
  • Université Paris-Saclay
  • Heidelberg University 
  • Helmholtz Zentrum München - German Research Center for Environmental Health
  • University of Cologne
  • University of Southern California
  • University of Eastern Finland
  • Erasmus University Rotterdam
  • Robert Bosch Foundation
  • University of Tübingen
  • University of Oxford
  • Pomeranian Medical University in Szczecin
  • Ulm University
  • Stanford University
  • KU Leuven
  • City of Hope National Medical Center
  • Flanders Institute for Biotechnology
  • University of Hawai'i at Mānoa
  • Heraklion University Hospital
  • Cyprus Institute of Neurology and Genetics
  • University Health Network
  • Helsinki University Hospital
  • University of North Carolina at Chapel Hill
  • Queen's University Belfast
  • American Cancer Society
  • Fondazione IRCCS Istituto Nazionale dei Tumori
  • FIRC Institute of Molecular Oncology
  • MASA
  • Technion-Israel Institute of Technology
  • Hospital Universitario Puerta de Hierro Majadahonda
  • University College London Hospitals NHS Foundation Trust
  • University Hospital of Larissa
  • King's College London
  • SS Cyril and Methodius University in Skopje
  • Department of Clinical Pathology
  • University of Western Australia
  • Royal Marsden Hospital
  • Cornell University
  • Columbia University
  • Leiden University
  • University of Birmingham
  • Northern Finland Laboratory Centre Oulu
  • Uppsala University

Research output: Contribution to journalArticlepeer-review

17 Scopus citations

Abstract

BACKGROUND: Given the high heterogeneity among breast tumors, associations between common germline genetic variants and survival that may exist within specific subgroups could go undetected in an unstratified set of breast cancer patients.

METHODS: We performed genome-wide association analyses within 15 subgroups of breast cancer patients based on prognostic factors, including hormone receptors, tumor grade, age, and type of systemic treatment. Analyses were based on 91,686 female patients of European ancestry from the Breast Cancer Association Consortium, including 7531 breast cancer-specific deaths over a median follow-up of 8.1 years. Cox regression was used to assess associations of common germline variants with 15-year and 5-year breast cancer-specific survival. We assessed the probability of these associations being true positives via the Bayesian false discovery probability (BFDP < 0.15).

RESULTS: Evidence of associations with breast cancer-specific survival was observed in three patient subgroups, with variant rs5934618 in patients with grade 3 tumors (15-year-hazard ratio (HR) [95% confidence interval (CI)] 1.32 [1.20, 1.45], P = 1.4E-08, BFDP = 0.01, per G allele); variant rs4679741 in patients with ER-positive tumors treated with endocrine therapy (15-year-HR [95% CI] 1.18 [1.11, 1.26], P = 1.6E-07, BFDP = 0.09, per G allele); variants rs1106333 (15-year-HR [95% CI] 1.68 [1.39,2.03], P = 5.6E-08, BFDP = 0.12, per A allele) and rs78754389 (5-year-HR [95% CI] 1.79 [1.46,2.20], P = 1.7E-08, BFDP = 0.07, per A allele), in patients with ER-negative tumors treated with chemotherapy.

CONCLUSIONS: We found evidence of four loci associated with breast cancer-specific survival within three patient subgroups. There was limited evidence for the existence of associations in other patient subgroups. However, the power for many subgroups is limited due to the low number of events. Even so, our results suggest that the impact of common germline genetic variants on breast cancer-specific survival might be limited.

Original languageEnglish
Article number86
Pages (from-to)86
JournalBreast Cancer Research
Volume23
Issue number1
DOIs
StatePublished - Aug 18 2021

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Keywords

  • Breast Neoplasms/drug therapy
  • Female
  • Genome-Wide Association Study
  • Germ-Line Mutation
  • Humans
  • Polymorphism, Single Nucleotide
  • Prognosis
  • Survival Analysis

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