Association of Circulating Progesterone With Breast Cancer Risk Among Postmenopausal Women.


Journal

JAMA network open
ISSN: 2574-3805
Titre abrégé: JAMA Netw Open
Pays: United States
ID NLM: 101729235

Informations de publication

Date de publication:
01 04 2020
Historique:
entrez: 25 4 2020
pubmed: 25 4 2020
medline: 23 10 2020
Statut: epublish

Résumé

The role of endogenous progesterone in the development of breast cancer remains largely unexplored to date, primarily owing to assay sensitivity limitations and low progesterone concentrations in postmenopausal women. Recently identified progesterone metabolites may provide insights as experimental data suggest that 5α-dihydroprogesterone (5αP) concentrations reflect cancer-promoting properties and 3α-dihydroprogesterone (3αHP) concentrations reflect cancer-inhibiting properties. To evaluate the association between circulating progesterone and progesterone metabolite levels and breast cancer risk. Using a sensitive liquid chromatography-tandem mass spectrometry assay, prediagnostic serum levels of progesterone and progesterone metabolites were quantified in a case-cohort study nested within the Breast and Bone Follow-up to the Fracture Intervention Trial (n = 15 595). Participation was limited to women not receiving exogenous hormone therapy at the time of blood sampling (1992-1993). Incident breast cancer cases (n = 405) were diagnosed during 12 follow-up years and a subcohort of 495 postmenopausal women were randomly selected within 10-year age and clinical center strata. Progesterone assays were completed in July 2017; subsequent data analyses were conducted between July 15, 2017, and December 20, 2018. Circulating concentrations of pregnenolone, progesterone, and their major metabolites. Development of breast cancer, with hazard ratios (HRs) and 95% CIs was estimated using Cox proportional hazards regression adjusted for key confounders, including estradiol. Evaluation of hormone ratios and effect modification were planned a priori. The present study included 405 incident breast cancer cases and a subcohort of 495 postmenopausal women; the mean (SD) age at the time of the blood draw was 67.2 (6.2) years. Progesterone concentrations were a mean (SD) of 4.6 (1.7) ng/dL. Women with higher circulating progesterone levels were at an increased risk for breast cancer per SD increase in progesterone levels (HR, 1.16; 95% CI, 1.00-1.35; P = .048). The association with progesterone was linear in a 5-knot spline and stronger for invasive breast cancers (n = 267) (HR, 1.24; 95% CI, 1.07-1.43; P = .004). Among women in the lowest quintile (Q1) of circulating estradiol (<6.30 pg/mL) elevated progesterone concentrations were associated with reduced breast cancer risk per SD increase in progesterone levels (HR, 0.38; 95% CI, 0.15-0.95; P = .04) and increased risk among women in higher quintiles of estradiol (Q2-Q5; ≥6.30 pg/mL) (HR, 1.18; 95% CI, 1.04-1.35; P = .01; P = .04 for interaction). In this case-cohort study of postmenopausal women, elevated circulating progesterone levels were associated with a 16% increase in the risk of breast cancer. Additional research should be undertaken to assess how postmenopausal breast cancer risk is associated with both endogenous progesterone and progesterone metabolites and their interactions with estradiol.

Identifiants

pubmed: 32329771
pii: 2764844
doi: 10.1001/jamanetworkopen.2020.3645
pmc: PMC7182797
doi:

Substances chimiques

Progesterone 4G7DS2Q64Y
Estradiol 4TI98Z838E

Types de publication

Journal Article Research Support, N.I.H., Intramural

Langues

eng

Sous-ensembles de citation

IM

Pagination

e203645

Commentaires et corrections

Type : CommentIn

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Auteurs

Britton Trabert (B)

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

Doug C Bauer (DC)

Department of Medicine and Department of Epidemiology and Biostatistics, University of California, San Francisco.

Diana S M Buist (DSM)

Kaiser Permanente Washington Health Research Institute, Seattle, Washington.

Jane A Cauley (JA)

Graduate School of Public Health Department of Epidemiology, University of Pittsburgh, Pittsburgh, Pennsylvania.

Roni T Falk (RT)

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

Ashley M Geczik (AM)

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

Gretchen L Gierach (GL)

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

Manila Hada (M)

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

Trisha F Hue (TF)

Department of Medicine and Department of Epidemiology and Biostatistics, University of California, San Francisco.

James V Lacey (JV)

Division of Cancer Etiology, Department of Population Sciences, Beckman Research Institute of City of Hope, Duarte, California.

Andrea Z LaCroix (AZ)

Division of Epidemiology, Department of Family and Preventive Medicine, University of California, San Diego.

Jeffrey A Tice (JA)

Department of Medicine and Department of Epidemiology and Biostatistics, University of California, San Francisco.

Xia Xu (X)

Leidos Biomedical Research Inc, Frederick, Maryland.

Cher M Dallal (CM)

School of Public Health, University of Maryland College Park.

Louise A Brinton (LA)

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

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Classifications MeSH