Prediagnostic White Blood Cell DNA Methylation and Risk of Breast Cancer in the Prostate Lung, Colorectal, and Ovarian Cancer Screening Trial (PLCO) Cohort.


Journal

Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology
ISSN: 1538-7755
Titre abrégé: Cancer Epidemiol Biomarkers Prev
Pays: United States
ID NLM: 9200608

Informations de publication

Date de publication:
08 2021
Historique:
received: 10 12 2020
revised: 11 03 2021
accepted: 21 05 2021
pubmed: 11 6 2021
medline: 25 2 2022
entrez: 10 6 2021
Statut: ppublish

Résumé

White blood cell (WBC) DNA may contain methylation patterns that are associated with subsequent breast cancer risk. Using a high-throughput array and samples collected, on average, 1.3 years prior to diagnosis, a case-cohort analysis nested in the prospective Sister Study identified 250 individual CpG sites that were differentially methylated between breast cancer cases and noncases. We examined five of the top 40 CpG sites in a case-control study nested in the Prostate, Lung, Colorectal, and Ovarian Cancer Screening Trial (PLCO) Cohort. We investigated the associations between prediagnostic WBC DNA methylation in 297 breast cancer cases and 297 frequency-matched controls. Two WBC DNA specimens from each participant were used: a proximate sample collected 1 to 2.9 years and a distant sample collected 4.2-7.3 years prior to diagnosis in cases or the comparable timepoints in controls. WBC DNA methylation level was measured using targeted bisulfite amplification sequencing. We used logistic regression to obtain ORs and 95% confidence intervals (CI). A one-unit increase in percent methylation in There was no convincing pattern between percent methylation in the five CpG sites and breast cancer risk. The link between prediagnostic WBC DNA methylation marks and breast cancer, if any, is poorly understood.

Sections du résumé

BACKGROUND
White blood cell (WBC) DNA may contain methylation patterns that are associated with subsequent breast cancer risk. Using a high-throughput array and samples collected, on average, 1.3 years prior to diagnosis, a case-cohort analysis nested in the prospective Sister Study identified 250 individual CpG sites that were differentially methylated between breast cancer cases and noncases. We examined five of the top 40 CpG sites in a case-control study nested in the Prostate, Lung, Colorectal, and Ovarian Cancer Screening Trial (PLCO) Cohort.
METHODS
We investigated the associations between prediagnostic WBC DNA methylation in 297 breast cancer cases and 297 frequency-matched controls. Two WBC DNA specimens from each participant were used: a proximate sample collected 1 to 2.9 years and a distant sample collected 4.2-7.3 years prior to diagnosis in cases or the comparable timepoints in controls. WBC DNA methylation level was measured using targeted bisulfite amplification sequencing. We used logistic regression to obtain ORs and 95% confidence intervals (CI).
RESULTS
A one-unit increase in percent methylation in
CONCLUSIONS
There was no convincing pattern between percent methylation in the five CpG sites and breast cancer risk.
IMPACT
The link between prediagnostic WBC DNA methylation marks and breast cancer, if any, is poorly understood.

Identifiants

pubmed: 34108140
pii: 1055-9965.EPI-20-1717
doi: 10.1158/1055-9965.EPI-20-1717
doi:

Substances chimiques

CAVIN3 protein, human 0
Cell Cycle Proteins 0
DNA-Binding Proteins 0
Intracellular Signaling Peptides and Proteins 0
MCUR1 protein, human 0
Membrane Proteins 0
Membrane Transport Proteins 0
Mitochondrial Proteins 0
OPTN protein, human 0
ERCC1 protein, human EC 3.1.-
Endonucleases EC 3.1.-

Types de publication

Journal Article Randomized Controlled Trial Research Support, N.I.H., Intramural

Langues

eng

Sous-ensembles de citation

IM

Pagination

1575-1581

Informations de copyright

©2021 American Association for Cancer Research.

Références

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Auteurs

Susan R Sturgeon (SR)

Department of Biostatistics and Epidemiology, University of Massachusetts, Amherst, Massachusetts. ssturgeon@schoolph.umass.edu.

David A Sela (DA)

Department of Food Science, University of Massachusetts, Amherst, Massachusetts.

Eva P Browne (EP)

Department of Veterinary and Animal Sciences, University of Massachusetts, Amherst, Massachusetts.

Jonah Einson (J)

Department of Food Science, University of Massachusetts, Amherst, Massachusetts.

Asha Rani (A)

Department of Food Science, University of Massachusetts, Amherst, Massachusetts.

Mohamed Halabi (M)

Department of Veterinary and Animal Sciences, University of Massachusetts, Amherst, Massachusetts.

Thomas Kania (T)

Department of Veterinary and Animal Sciences, University of Massachusetts, Amherst, Massachusetts.

Andrew Keezer (A)

Department of Veterinary and Animal Sciences, University of Massachusetts, Amherst, Massachusetts.

Raji Balasubramanian (R)

Department of Biostatistics and Epidemiology, University of Massachusetts, Amherst, Massachusetts.

Regina G Ziegler (RG)

Epidemiology and Biostatistics Program, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland.

Catherine Schairer (C)

Epidemiology and Biostatistics Program, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland.

Karl T Kelsey (KT)

Department of Epidemiology, Department of Pathology, and Department of Laboratory Medicine, Brown University, Providence, Rhode Island.

Kathleen F Arcaro (KF)

Department of Veterinary and Animal Sciences, University of Massachusetts, Amherst, Massachusetts.

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