Evidence map›Paper›PMID 34363033›Full record

Observational studyBritish journal of cancer2021

Testosterone, sex hormone-binding globulin, insulin-like growth factor-1 and endometrial cancer risk: observational and Mendelian randomization analyses.

Amy Mullee, Niki Dimou, Naomi Allen, Tracy O'Mara, Marc J Gunter, Neil Murphy

Open access · greenAbstract readObservational Study
In one paragraph

Observational study in British journal of cancer, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed, 1 pooled it
3.8field-weighted citation impact, top 5% 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

27 citing papers in PubMed, 1 synthesis or guideline pooled it, 37 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Approach to the patient: investigation of postmenopausal androgen excess.The Journal of clinical endocrinology and metabolism · 2026
    Review
  4. Review
  5. Article
  6. Observational
  7. Article
  8. Article
  9. Article
  10. Review
  11. The Effect of Circulating Proteins and Their Role in Mediating Adiposity's Effect on Endometrial Cancer Risk: Mendelian Randomization and Colocalization Analyses.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2025
    Article
  12. Article
  13. Review
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Observational
  20. Article
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

6 authors at 4 institutions in 4 countries.

Amy Mullee *School of Public Health, Physiotherapy and Sports Science, University College Dublin, Dublin, Ireland.
Niki Dimou *Section of Nutrition and Metabolism, International Agency for Research on Cancer, Lyon, France.
Naomi AllenClinical Trial Service Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK.
Tracy O'MaraDepartment of Genetics and Computational Biology, QIMR Berghofer Medical Research Institute, Brisbane, QLD, Australia.ORCID http://orcid.org/0000-0002-5436-3232
Marc J Gunter *Section of Nutrition and Metabolism, International Agency for Research on Cancer, Lyon, France.
Neil Murphy *Section of Nutrition and Metabolism, International Agency for Research on Cancer, Lyon, France. murphyn@iarc.fr.ORCID http://orcid.org/0000-0003-3347-8249
Centre international de recherche sur le cancer · FRQIMR Berghofer Medical Research Institute · AUUniversity College Dublin · IEUniversity of Oxford · GB

Funding

Cancer Research UK 29019Cancer Research UK C18281/A29019Medical Research Council MC_PC_17228Medical Research Council MC_QA137853World Health Organization 001
6 · The paper itself

Abstract

backgroundDysregulation of endocrine pathways related to steroid and growth hormones may modify endometrial cancer risk; however, prospective data on testosterone, sex hormone-binding globulin (SHBG) and insulin-like growth factor (IGF)-1 are limited. To elucidate the role of these hormones in endometrial cancer risk we conducted complementary observational and Mendelian randomization (MR) analyses.

methodsThe observational analyses included 159,702 women (80% postmenopausal) enrolled in the UK Biobank. Hazard ratios (HRs) and 95% confidence intervals (CIs) were estimated using Cox proportional hazards models. For MR analyses, genetic variants associated with hormone levels were identified and their association with endometrial cancer (12,906 cases/108,979 controls) was examined using two-sample MR.

resultsIn the observational analysis, higher circulating concentrations of total (HR per unit inverse normal scale = 1.38, 95% CI = 1.22-1.57) and free testosterone (HR per unit log scale = 2.07, 95% CI = 1.66-2.58) were associated with higher endometrial cancer risk. An inverse association was found for SHBG (HR per unit inverse normal scale = 0.76, 95% CI = 0.67-0.86). Results for testosterone and SHBG were supported by the MR analyses. No association was found between genetically predicted IGF-1 concentration and endometrial cancer risk.

conclusionsOur results support probable causal associations between circulating concentrations of testosterone and SHBG with endometrial cancer risk.

Indexed as

AgedBiological Specimen BanksEndometrial NeoplasmsFemaleGenetic Association StudiesGenetic VariationHumansInsulin-Like Growth Factor IMendelian Randomization AnalysisMiddle AgedPostmenopauseRisk FactorsSex Hormone-Binding GlobulinTestosteroneUnited KingdomIGF1 protein, humanInsulin-Like Growth Factor ISex Hormone-Binding GlobulinSHBG protein, humanTestosterone

Identifiers

PMID34363033
PMCPMC8548546
OpenAlexW3192530985

What OpenQuestion holds

Textmetadata
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.