Cited by 99Breast Cancer Treatment StudiesBRCA gene mutations in cancerBreast Lesions and Carcinomas

Subtypes of familial breast tumours revealed by expression and copy number profiling

kConFab Investigators, Waddell, Nic, Arnold, Jeremy, Cocciardi, Sibylle, da Silva, Leonard, Marsh, Anna, Riley, Joan, Johnstone, Cameron N. +17 more·2010·Breast Cancer Research and Treatment

Abstract

Extensive expression profiling studies have shown that sporadic breast cancer is composed of five clinically relevant molecular subtypes. However, although BRCA1-related tumours are known to be predominantly basal-like, there are few published data on other classes of familial breast tumours. We analysed a cohort of 75 BRCA1, BRCA2 and non-BRCA1/2 breast tumours by gene expression profiling and found that 74% BRCA1 tumours were basal-like, 73% of BRCA2 tumours were luminal A or B, and 52% non-BRCA1/2 tumours were luminal A. Thirty-four tumours were also analysed by single nucleotide polymorphism-comparative genomic hybridization (SNP-CGH) arrays. Copy number data could predict whether a tumour was basal-like or luminal with high accuracy, but could not predict its mutation class. Basal-like BRCA1 and basal-like non-BRCA1 tumours were very similar, and contained the highest number of chromosome aberrations. We identified regions of frequent gain containing potential driver genes in the basal (8q and 12p) and luminal A tumours (1q and 17q). Regions of homozygous loss associated with decreased expression of potential tumour suppressor genes were also detected, including in basal tumours (5q and 9p), and basal and luminal tumours (10q). This study highlights the heterogeneity of familial tumours and the clinical consequences for treatment and prognosis.

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Crossref · 10.1007/s10549-009-0653-1

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Authors
kConFab Investigators, Waddell, N., Arnold, J., Cocciardi, S., da Silva, L., Marsh, A., Riley, J., Johnstone, C. N., Orloff, M., Assie, G., Eng, C., Reid, L., Keith, P., Yan, M., Fox, S., Devilee, P., Godwin, A. K., Hogervorst, F. B. L., Couch, F., Grimmond, S., Flanagan, J. M., Khanna, K., Simpson, P. T., Lakhani, S. R., & Chenevix-Trench, G.
Affiliations
  • QIMR Berghofer Medical Research Institute (AU)
  • The University of Queensland (AU)
  • Cleveland Clinic (US)
  • Peter MacCallum Cancer Centre (AU)
  • Leiden University Medical Center (NL)
  • Fox Chase Cancer Center (US)
  • Mayo Clinic (US)
  • Institute for Molecular Bioscience (AU)
Venue
Breast Cancer Research and Treatment
Published
2009-12-04
Volume
123
Issue
3
Pages
661-677
ISSN
  • 0167-6806 (ISSN-L)
  • 1573-7217
OpenAlex
W2063281610
Cited by
99
References
94
Citations by year
2026: 1 · 2025: 2 · 2023: 1 · 2022: 2 · 2021: 4 · 2020: 4 · 2019: 5 · 2018: 3 · 2017: 8 · 2016: 5 · 2015: 6 · 2014: 8 · 2013: 17 · 2012: 8
FWCI
3.68
Type
journal article
Language
en
Open access
closed
Locations
  • Breast Cancer Research and Treatment (publishedVersion)
  • PubMed (publishedVersion)
  • Data Archiving and Networked Services (DANS) (submittedVersion)
  • Leiden Repository (Leiden University) (submittedVersion)
Funders
  • American Cancer Society
  • Cleveland Clinic
  • National Health and Medical Research Council
  • Cancer Council NSW
  • National Medical Research Council
Topics
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Cancer Research › Breast Cancer Treatment Studies
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › BRCA gene mutations in cancer
  • Health Sciences › Medicine › Pathology and Forensic Medicine › Breast Lesions and Carcinomas
Keywords
hereditary breast cancer, BRCA1, BRCA2, molecular subtypes, basal-like breast cancer, luminal A, luminal B, copy number alterations, gene expression profiling, chromosomal abnormalities, driver genes, tumor suppressor, tumor heterogeneity
MeSH terms
Breast Neoplasms, Chromosome Aberrations, Female, Humans, Pedigree, Prognosis, Cohort Studies, Gene Expression Regulation, Neoplastic, Cluster Analysis, Gene Dosage, DNA Methylation, BRCA1 Protein, Loss of Heterozygosity, Genetic Predisposition to Disease, Oligonucleotide Array Sequence Analysis, Polymorphism, Single Nucleotide, Gene Expression Profiling, BRCA2 Protein, Heredity, Comparative Genomic Hybridization

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