Evidence map›Paper›PMID 38800978›Full record

ArticleCancer medicine2024

Causal effects of hypertensive disorders of pregnancy on future gynecologic tumors: A two-sample Mendelian randomization study.

Le Zhou, Xinghui Liu, Guolin He, Chuntang Sun

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Article in Cancer medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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2citing papers in PubMed
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1 · What the graph read from it

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3 · Its place in the literature

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2 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Le ZhouDepartment of Gynecology and Obstetrics, West China Second University Hospital, Sichuan University, Chengdu, China.ORCID 0000-0001-5891-4145
Xinghui LiuDepartment of Gynecology and Obstetrics, West China Second University Hospital, Sichuan University, Chengdu, China.
Guolin HeDepartment of Gynecology and Obstetrics, West China Second University Hospital, Sichuan University, Chengdu, China.
Chuntang SunDepartment of Gynecology and Obstetrics, West China Second University Hospital, Sichuan University, Chengdu, China.

Funding

This work was supported by the Sichuan Science and Technology Program grant numbers:2022NSFSC0797
6 · The paper itself

Abstract

backgroundNumerous observational studies have investigated the potential link between hypertensive disorders of pregnancy (HDPs) and the subsequent risks of gynecologic tumors, yet the findings have been inconsistent. In this study, we utilized Mendelian randomization (MR) approach to assess the influence of HDPs on the future risks of ovarian, cervical, endometrial, and breast cancer and uterine fibroids, controlling for confounding factors.

methodsThe genome-wide association studies (GWAS) summary data relevant to HDPs was obtained from the FinnGen databases (10,736 cases and 136,325 controls). Gynecologic tumor outcomes were extracted from the IEU Open GWAS project and UK Biobank (47,690 cases and 1, 092,073 controls). The inverse variance weighted (IVW) approach was selected as the principal method for MR analysis, supplemented by MR-Egger, weighted median, weighted model, simple model methods, MR pleiotropy residual sum and outlier (MR-PRESSO) test, and leave-one-out method. Multivariate MR (MVMR) analysis was conducted after adjusting systolic blood pressure (SBP), body mass index (BMI) and type 2 diabetes mellitus (T2DM).

resultsOur univariate MR analysis (UVMR) results revealed no significant relationship between HDPs and the risks of ovarian cancer (odds ratio [OR] = 0.924, p = 0.360), cervical cancer (OR = 1.230, p = 0.738), endometrial cancer (OR = 1.006, p = 0.949), uterine fibroids (OR = 1.155, p = 0.158), and breast cancer (OR = 0.792, p = 0.241) by IVW test. Similar results were observed in gestational hypertension and preeclampsia/eclampsia. Additionally, our study detected neither heterogeneity nor pleiotropy. MVMR analysis also provided no evidence of a causal association between HDPs and common gynecologic tumors after adjusting SBP, BMI, and T2DM.

conclusionWe discovered no causal relationship between HDPs and ovarian, cervical, endometrial, breast cancer, and uterine fibroids in European populations. However, present analysis did not explore the effect of HDPs on the subtypes of gynecologic tumors across varied ethnic populations, which may require additional research.

Indexed as

Genital Neoplasms, FemaleGenome-Wide Association StudyMendelian Randomization AnalysisFemaleHumansHypertension, Pregnancy-InducedPolymorphism, Single NucleotidePregnancyRisk Factorsbreast cancerendometrial cancerhypertensive disorders in pregnancyMendelian randomizationpreeclampsia

Identifiers

PMID38800978
PMCPMC11129165

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LicenceCC BY
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.