Evidence map›Paper›PMID 34680200›Full record

ArticleCancers2021

Body Fat Distribution and Risk of Breast, Endometrial, and Ovarian Cancer: A Two-Sample Mendelian Randomization Study.

Dennis Freuer, Jakob Linseisen, Tracy A O'Mara, Michael Leitzmann, Hansjörg Baurecht, Sebastian-Edgar Baumeister, Christa Meisinger

Open access · goldAbstract read
In one paragraph

Article in Cancers, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed, 2 pooled it
1.9field-weighted citation impact, top 11% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

20 citing papers in PubMed, 2 syntheses or guidelines pooled it, 29 citations in OpenAlex.

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  14. Prevention of Epithelial Ovarian Cancer.Cold Spring Harbor perspectives in medicine · 2023
    Review
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors at 4 institutions in 2 countries.

Dennis FreuerChair of Epidemiology, University of Augsburg, University Hospital Augsburg, 86156 Augsburg, Germany.ORCID 0000-0001-7188-9087
Jakob LinseisenChair of Epidemiology, University of Augsburg, University Hospital Augsburg, 86156 Augsburg, Germany.ORCID 0000-0002-9386-382X
Tracy A O'MaraGenetics and Computational Biology Department, QIMR Berghofer Medical Research Institute, Brisbane 4006, Australia.ORCID 0000-0002-5436-3232
Michael LeitzmannDepartment of Epidemiology and Preventive Medicine, University of Regensburg, 93053 Regensburg, Germany.
Hansjörg BaurechtDepartment of Epidemiology and Preventive Medicine, University of Regensburg, 93053 Regensburg, Germany.ORCID 0000-0002-9265-5594
Sebastian-Edgar BaumeisterInstitute of Health Services Research in Dentistry, University of Münster, 48149 Münster, Germany.ORCID 0000-0002-9391-6602
Christa MeisingerChair of Epidemiology, University of Augsburg, University Hospital Augsburg, 86156 Augsburg, Germany.
University of Augsburg · DEUniversity of Regensburg · DEQIMR Berghofer Medical Research Institute · AUUniversity of Münster · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMounting evidence shows that adiposity increases female-specific cancer risk, but the role of body fat distribution is less clear. We used a two-sample Mendelian randomization (MR) approach to elucidate causal relations of body fat distribution to the risks of breast, endometrial and ovarian cancers and their subtypes.

methodsBody composition was assessed using segmental bioelectrical impedance analysis, yielding trunk, arm, and leg fat ratios (TFR, AFR, LFR) and BMI including 195,043 and 434,794 European women, respectively. The sample sizes for the outcomes ranged between 58,396 and 228,951. Causal effects were estimated per one standard deviation increment in the respective exposure within the radial regression framework. Robust sensitivity analyses were performed to verify MR assumptions. In a multivariable MR setting, the proportion of risk attributable to overall and abdominal fat content was assessed.

resultsTFR, which represents abdominal fat content, was associated with ovarian cancer and its clear cell and endometrioid histotypes independent of overall fat content. BMI was inversely associated with breast cancer and its ER- and ER+ subtypes, but positively with endometrial cancer and ovarian cancer, including its endometrioid histotype. These estimates were confirmed using AFR as proxy for overall body fat.

conclusionsVisceral adiposity seems to be a driver of elevated ovarian cancer risk, particularly of the endometrioid and clear cell ovarian cancer histotypes. General adiposity decreases the risk of breast cancer but increases the risk of endometrial and ovarian cancer.

Indexed as

body fat distributionbreast cancerendometrial cancerMendelian randomizationobesityovarian cancer

Identifiers

PMID34680200
PMCPMC8534230
OpenAlexW3206227084

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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 OpenQuestion graph.