Association of Endogenous Pregnenolone, Progesterone, and Related Metabolites with Risk of Endometrial and Ovarian Cancers in Postmenopausal Women: The B


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:
11 2021
Historique:
received: 26 05 2021
revised: 19 07 2021
accepted: 24 08 2021
pubmed: 2 9 2021
medline: 24 2 2022
entrez: 1 9 2021
Statut: ppublish

Résumé

Postmenopausal pregnenolone and/or progesterone levels in relation to endometrial and ovarian cancer risks have been infrequently evaluated. To address this, we utilized a sensitive and reliable assay to quantify prediagnostic levels of seven markers related to endogenous hormone metabolism. Hormones were quantified in baseline serum collected from postmenopausal women in a cohort study nested within the Breast and Bone Follow-up to the Fracture Intervention Trial (B∼FIT). Women using exogenous hormones at baseline (1992-1993) were excluded. Incident endometrial ( Circulating progesterone levels were not associated with endometrial [tertile (T)3 vs. T1 HR (95% confidence interval): 1.87 (0.85-4.11); Using sensitive and reliable assays, this study provides novel data that endogenous progesterone levels are not strongly associated with incident endometrial or ovarian cancer risks. 17-hydroxypregnenolone was positively associated with ovarian cancer and inversely associated with endometrial cancer. While our results require replication in large studies, they provide further support of the hormonal etiology of endometrial and ovarian cancers.

Sections du résumé

BACKGROUND
Postmenopausal pregnenolone and/or progesterone levels in relation to endometrial and ovarian cancer risks have been infrequently evaluated. To address this, we utilized a sensitive and reliable assay to quantify prediagnostic levels of seven markers related to endogenous hormone metabolism.
METHODS
Hormones were quantified in baseline serum collected from postmenopausal women in a cohort study nested within the Breast and Bone Follow-up to the Fracture Intervention Trial (B∼FIT). Women using exogenous hormones at baseline (1992-1993) were excluded. Incident endometrial (
RESULTS
Circulating progesterone levels were not associated with endometrial [tertile (T)3 vs. T1 HR (95% confidence interval): 1.87 (0.85-4.11);
CONCLUSIONS
Using sensitive and reliable assays, this study provides novel data that endogenous progesterone levels are not strongly associated with incident endometrial or ovarian cancer risks. 17-hydroxypregnenolone was positively associated with ovarian cancer and inversely associated with endometrial cancer.
IMPACT
While our results require replication in large studies, they provide further support of the hormonal etiology of endometrial and ovarian cancers.

Identifiants

pubmed: 34465588
pii: 1055-9965.EPI-21-0669
doi: 10.1158/1055-9965.EPI-21-0669
pmc: PMC8568650
mid: NIHMS1737940
doi:

Substances chimiques

Biomarkers 0
Progesterone 4G7DS2Q64Y
Estradiol 4TI98Z838E
Pregnenolone 73R90F7MQ8

Types de publication

Journal Article Research Support, N.I.H., Intramural Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

2030-2037

Subventions

Organisme : NCI NIH HHS
ID : N02CP11019
Pays : United States
Organisme : Intramural NIH HHS
ID : ZIA CP010126
Pays : United States
Organisme : Intramural NIH HHS
ID : ZIA CP010128
Pays : United States

Informations de copyright

©2021 American Association for Cancer Research.

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Auteurs

Britton Trabert (B)

Division of Cancer Epidemiology and Genetics, NCI, Bethesda, Maryland. britton.trabert@nih.gov.
Department of Obstetrics and Gynecology, University of Utah, and Cancer Control and Population Sciences Research Program, Huntsman Cancer Institute, Salt Lake City, Utah.

Ashley M Geczik (AM)

Division of Cancer Epidemiology and Genetics, NCI, Bethesda, Maryland.

Doug C Bauer (DC)

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

Diana S M Buist (DSM)

Kaiser Permanente Washington Health Research Institute, Seattle, Washington.

Jane A Cauley (JA)

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

Roni T Falk (RT)

Division of Cancer Epidemiology and Genetics, NCI, Bethesda, Maryland.

Gretchen L Gierach (GL)

Division of Cancer Epidemiology and Genetics, NCI, Bethesda, Maryland.

Trisha F Hue (TF)

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

James V Lacey (JV)

Division of Health Analytics, Department of Computational and Quantitative Medicine, City of Hope, Duarte, California.

Andrea Z LaCroix (AZ)

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

Kara A Michels (KA)

Division of Cancer Epidemiology and Genetics, NCI, Bethesda, Maryland.

Jeffrey A Tice (JA)

Department of Medicine, University of California San Francisco, San Francisco, California.

Xia Xu (X)

Leidos Biomedical Research, Inc., Frederick, Maryland.

Louise A Brinton (LA)

Division of Cancer Epidemiology and Genetics, NCI, Bethesda, Maryland.

Cher M Dallal (CM)

School of Public Health, University of Maryland, College Park, Maryland.

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Classifications MeSH