Skip to main content

DNA defects, epigenetics, and gene expression in cancer-adjacent breast: a study from The Cancer Genome Atlas.

Publication ,  Journal Article
Troester, MA; Hoadley, KA; D'Arcy, M; Cherniack, AD; Stewart, C; Koboldt, DC; Robertson, AG; Mahurkar, S; Shen, H; Wilkerson, MD; Sandhu, R ...
Published in: NPJ Breast Cancer
2016

Recurrence rates after breast-conserving therapy may depend on genomic characteristics of cancer-adjacent, benign-appearing tissue. Studies have not evaluated recurrence in association with multiple genomic characteristics of cancer-adjacent breast tissue. To estimate the prevalence of DNA defects and RNA expression subtypes in cancer-adjacent, benign-appearing breast tissue at least 2 cm from the tumor margin, cancer-adjacent, pathologically well-characterized, benign-appearing breast tissue specimens from The Cancer Genome Atlas project were analyzed for DNA sequence, copy-number variation, DNA methylation, messenger RNA (mRNA) sequence, and mRNA/microRNA expression. Additional samples were also analyzed by at least one of these genomic data types and associations between genomic characteristics of normal tissue and overall survival were assessed. Approximately 40% of cancer-adjacent, benign-appearing tissues harbored genomic defects in DNA copy number, sequence, methylation, or in RNA sequence, although these defects did not significantly predict 10-year overall survival. Two mRNA/microRNA expression phenotypes were observed, including an active mRNA subtype that was identified in 40% of samples. Controlling for tumor characteristics and the presence of genomic defects, this active subtype was associated with significantly worse 10-year survival among estrogen receptor (ER)-positive cases. This multi-platform analysis of breast cancer-adjacent samples produced genomic findings consistent with current surgical margin guidelines, and provides evidence that extratumoral RNA expression patterns in cancer-adjacent tissue predict overall survival among patients with ER-positive disease.

Duke Scholars

Altmetric Attention Stats
Dimensions Citation Stats

Published In

NPJ Breast Cancer

DOI

ISSN

2374-4677

Publication Date

2016

Volume

2

Start / End Page

16007

Location

United States

Related Subject Headings

  • 4202 Epidemiology
  • 3211 Oncology and carcinogenesis
  • 3202 Clinical sciences
 

Citation

APA
Chicago
ICMJE
MLA
NLM
Troester, M. A., Hoadley, K. A., D’Arcy, M., Cherniack, A. D., Stewart, C., Koboldt, D. C., … Benz, C. C. (2016). DNA defects, epigenetics, and gene expression in cancer-adjacent breast: a study from The Cancer Genome Atlas. NPJ Breast Cancer, 2, 16007. https://doi.org/10.1038/npjbcancer.2016.7
Troester, Melissa A., Katherine A. Hoadley, Monica D’Arcy, Andrew D. Cherniack, Chip Stewart, Daniel C. Koboldt, A Gordon Robertson, et al. “DNA defects, epigenetics, and gene expression in cancer-adjacent breast: a study from The Cancer Genome Atlas.NPJ Breast Cancer 2 (2016): 16007. https://doi.org/10.1038/npjbcancer.2016.7.
Troester MA, Hoadley KA, D’Arcy M, Cherniack AD, Stewart C, Koboldt DC, et al. DNA defects, epigenetics, and gene expression in cancer-adjacent breast: a study from The Cancer Genome Atlas. NPJ Breast Cancer. 2016;2:16007.
Troester, Melissa A., et al. “DNA defects, epigenetics, and gene expression in cancer-adjacent breast: a study from The Cancer Genome Atlas.NPJ Breast Cancer, vol. 2, 2016, p. 16007. Pubmed, doi:10.1038/npjbcancer.2016.7.
Troester MA, Hoadley KA, D’Arcy M, Cherniack AD, Stewart C, Koboldt DC, Robertson AG, Mahurkar S, Shen H, Wilkerson MD, Sandhu R, Johnson NB, Allison KH, Beck AH, Yau C, Bowen J, Sheth M, Hwang ES, Perou CM, Laird PW, Ding L, Benz CC. DNA defects, epigenetics, and gene expression in cancer-adjacent breast: a study from The Cancer Genome Atlas. NPJ Breast Cancer. 2016;2:16007.

Published In

NPJ Breast Cancer

DOI

ISSN

2374-4677

Publication Date

2016

Volume

2

Start / End Page

16007

Location

United States

Related Subject Headings

  • 4202 Epidemiology
  • 3211 Oncology and carcinogenesis
  • 3202 Clinical sciences