ArticleAmerican journal of cancer research2023
Sex hormones in the risk of breast cancer: a two-sample Mendelian randomization study.
Article in American journal of cancer research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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.
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.
Who cites it
7 citing papers in PubMed, 11 citations in OpenAlex.
- Vitamin D Supplementation and Testosterone Levels in Breast Cancer Survivors.International journal of molecular sciences · 2025Trial
- Comprehensive review of male breast cancer: Understanding a rare condition.Oncology research · 2025Review
- Causal impact of genetically determined metabolites on kidney cancer and its subtypes: an integrated mendelian randomization and metabolomic study.American journal of cancer research · 2025Article
- Causal relationship between physical activity and common gynecologic conditions: a two-sample Mendelian randomization study.American journal of translational research · 2025Article
- Review
- A cause-effect relationship between uterine diseases and breast cancer: A bidirectional Mendelian randomization study.Heliyon · 2024Article
- Using Genetics to Investigate Relationships between Phenotypes: Application to Endometrial Cancer.Genes · 2024Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Multiple evidence has suggested the essential role of sex hormones in the susceptibility of breast cancer. However, whether there exists a causal association and the effect direction remains controversial. To examine the causative role of hormones in the risk of breast cancer, we first estimated their genetic correlation, and then conducted two-sample and multivariable Mendelian randomization analyses using summary statistics from genome-wide association studies of major sex hormones including testosterone (N=230,454), estradiol (N=163,985) and progesterone (N=1,261), together with breast cancer (N=228,951). We further performed subtype analysis focusing on estrogen receptor (ER)+ breast cancer (N=175,475) and ER- breast cancer (N=127,442), and conducted extensive sensitivity analyses. We identified significant positive genetic correlation between testosterone level and risk of breast cancer (genetic correlation: 0.09, P=1.10E-03). Genetically determined higher total testosterone level was associated with an increased risk of breast cancer (OR: 1.11, 95% CI: 1.06-1.16, P=4.55E-06). In the subtype analysis, higher total testosterone was associated with an increased risk of ER+ breast cancer (OR: 1.18, 95% CI: 1.11-1.26, P=6.00E-08). In contrast, no association was identified between estradiol, progesterone and the risk of breast cancer. These results elucidated the causal role of major sex hormones in the risk of breast cancer, especially in ER+ breast cancer. Future development of preventive or therapeutic interventions in clinical trials could attach importance to this.
Indexed as
Identifiers
37034223PMC10077051W4363646198What OpenQuestion holds
Registered trials
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.