Increased cancer risk in polycystic ovary syndrome: An (un)sympathetic connection?


Journal

Medical hypotheses
ISSN: 1532-2777
Titre abrégé: Med Hypotheses
Pays: United States
ID NLM: 7505668

Informations de publication

Date de publication:
Jan 2020
Historique:
received: 30 08 2019
accepted: 17 10 2019
pubmed: 28 10 2019
medline: 24 11 2020
entrez: 27 10 2019
Statut: ppublish

Résumé

Women with polycystic ovary syndrome (PCOS) have been shown to have a higher incidence of cancer. It is suggested that several factors, including hyperinsulinemia, dyslipidemia, raised estrogen levels, chronic inflammation, and reduced apoptosis are responsible for this association. However, in this paper we propose the hypothesis that increased sympathetic activity may represent an important factor that interconnects PCOS and cancer. This hypothesis is based on two facts: a) in women with PCOS is found sympathetic hyperactivity and b) recent data showing a stimulatory effect of the sympathetic system on cancer initiation, progression, and development of metastases. If our hypothesis is correct, then new preventive approaches might be used to reduce cancer risk in women with PCOS.

Identifiants

pubmed: 31655360
pii: S0306-9877(19)30965-X
doi: 10.1016/j.mehy.2019.109437
pii:
doi:

Substances chimiques

Estradiol 4TI98Z838E
Norepinephrine X4W3ENH1CV

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

109437

Informations de copyright

Copyright © 2019 Elsevier Ltd. All rights reserved.

Auteurs

Boris Mravec (B)

Institute of Physiology, Faculty of Medicine, Comenius University in Bratislava, Slovakia; Biomedical Research Center, Institute of Experimental Endocrinology, Slovak Academy of Sciences, Bratislava, Slovakia. Electronic address: boris.mravec@fmed.uniba.sk.

Miroslav Tibensky (M)

Institute of Physiology, Faculty of Medicine, Comenius University in Bratislava, Slovakia; Biomedical Research Center, Institute of Experimental Endocrinology, Slovak Academy of Sciences, Bratislava, Slovakia.

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Classifications MeSH