↓ Skip to main content

PLOS

Germline DNA Copy Number Aberrations Identified as Potential Prognostic Factors for Breast Cancer Recurrence

Overview of attention for article published in PLOS ONE, January 2013
Altmetric Badge

Mentioned by

news
3 news outlets
twitter
10 X users
facebook
1 Facebook page

Citations

dimensions_citation
20 Dimensions

Readers on

mendeley
41 Mendeley
citeulike
2 CiteULike
Title
Germline DNA Copy Number Aberrations Identified as Potential Prognostic Factors for Breast Cancer Recurrence
Published in
PLOS ONE, January 2013
DOI 10.1371/journal.pone.0053850
Pubmed ID
Authors

Yadav Sapkota, Sunita Ghosh, Raymond Lai, Bradley P. Coe, Carol E. Cass, Yutaka Yasui, John R. Mackey, Sambasivarao Damaraju

Abstract

Breast cancer recurrence (BCR) is a common treatment outcome despite curative-intent primary treatment of non-metastatic breast cancer. Currently used prognostic and predictive factors utilize tumor-based markers, and are not optimal determinants of risk of BCR. Germline-based copy number aberrations (CNAs) have not been evaluated as determinants of predisposition to experience BCR. In this study, we accessed germline DNA from 369 female breast cancer subjects who received curative-intent primary treatment following diagnosis. Of these, 155 experienced BCR and 214 did not, after a median duration of follow up after breast cancer diagnosis of 6.35 years (range = 0.60-21.78) and 8.60 years (range = 3.08-13.57), respectively. Whole genome CNA genotyping was performed on the Affymetrix SNP array 6.0 platform. CNAs were identified using the SNP-Fast Adaptive States Segmentation Technique 2 algorithm implemented in Nexus Copy Number 6.0. Six samples were removed due to poor quality scores, leaving 363 samples for further analysis. We identified 18,561 CNAs with ≥1 kb as a predefined cut-off for observed aberrations. Univariate survival analyses (log-rank tests) identified seven CNAs (two copy number gains and five copy neutral-loss of heterozygosities, CN-LOHs) showing significant differences (P<2.01×10(-5)) in recurrence-free survival (RFS) probabilities with and without CNAs.We also observed three additional but distinct CN-LOHs showing significant differences in RFS probabilities (P<2.86×10(-5)) when analyses were restricted to stratified cases (luminal A, n = 208) only. After adjusting for tumor stage and grade in multivariate analyses (Cox proportional hazards models), all the CNAs remained strongly associated with the phenotype of BCR. Of these, we confirmed three CNAs at 17q11.2, 11q13.1 and 6q24.1 in representative samples using independent genotyping platforms. Our results suggest further investigations on the potential use of germline DNA variations as prognostic markers in cancer-associated phenotypes.

X Demographics

X Demographics

The data shown below were collected from the profiles of 10 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 41 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Mexico 1 2%
United States 1 2%
China 1 2%
Unknown 38 93%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 14 34%
Researcher 6 15%
Student > Master 3 7%
Professor > Associate Professor 2 5%
Other 2 5%
Other 4 10%
Unknown 10 24%
Readers by discipline Count As %
Agricultural and Biological Sciences 12 29%
Medicine and Dentistry 10 24%
Biochemistry, Genetics and Molecular Biology 5 12%
Engineering 2 5%
Psychology 1 2%
Other 3 7%
Unknown 8 20%