ArticleTranslational lung cancer research2022
Causal effects of genetically determined metabolites on cancers included lung, breast, ovarian cancer, and glioma: a Mendelian randomization study.
Article in Translational lung cancer research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 2 of them syntheses that pooled it.
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Who cites it
19 citing papers in PubMed, 2 syntheses or guidelines pooled it, 34 citations in OpenAlex.
- Risk factors of ovarian cancer: a systematic review and meta-analysis of Mendelian randomiation studies.Journal of public health (Oxford, England) · 2026Pooled it
- Potential Causal Association between Plasma Metabolites, Immunophenotypes, and Female Reproductive Disorders: A Two-Sample Mendelian Randomization Analysis.Biomolecules · 2024Pooled it
- Article
- Functional genomics integration of glycolysis-related gene networks reveals prognostic biomarkers and immune microenvironment regulation in breast cancer.Scientific reports · 2026Article
- Molecular Insights into Widespread Pseudouridine RNA Modifications: Implications for Women's Health and Disease.Biology · 2026Review
- Mendelian randomization study of GLP-1R effects on ovarian cancer subtypes mediated by metabolic factors.Communications medicine · 2026Article
- Causal plasma metabolites for breast cancer risk: a two-sample Mendelian randomization study with colocalization evidence.Discover oncology · 2025Article
- A phenome-wide Mendelian randomization analysis reveals the genetical associations of myocardial infarction, angina pectoris and Alzheimer's disease with lung cancer.Scientific reports · 2025Article
- Article
- Novel anti-inflammatory properties of mannose oligosaccharides in the treatment of inflammatory bowel disease via LGALS3 modulation.NPJ biofilms and microbiomes · 2025Article
- A review on trends in development and translation of omics signatures in cancer.Computational and structural biotechnology journal · 2024Review
- The causal relationship between CSF metabolites and GBM: a two-sample mendelian randomization analysis.BMC cancer · 2024Article
- The causal relationship between serum metabolites and acne vulgaris: a Mendelian randomization study.Scientific reports · 2024Article
- Inferring Causal Relationships Between Metabolites and Polycystic Ovary Syndrome Using Summary Statistics from Genome‑Wide Association Studies.Reproductive sciences (Thousand Oaks, Calif.) · 2024Article
- Exploring the causal role of multiple metabolites on ovarian cancer: a two sample Mendelian randomization study.Journal of ovarian research · 2024Article
- Mendelian randomization analysis reveals an independent causal relationship between four gut microbes and acne vulgaris.Frontiers in microbiology · 2024Article
- Metabolomic epidemiology offers insights into disease aetiology.Nature metabolism · 2023Review
- Small molecule metabolites: discovery of biomarkers and therapeutic targets.Signal transduction and targeted therapy · 2023Review
- Gut microbiota and atopic dermatitis: a two-sample Mendelian randomization study.Frontiers in medicine · 2023Article
Corrections and comments
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Authors and funding
24 authors at 6 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Previous studies have shown that metabolites play important roles in phenotypic regulation, but the causal link between metabolites and tumors has not been examined adequately. Herein, we investigate the causality between metabolites and various cancers through a Mendelian randomization (MR) study. Methods: We carried out a two-sample MR analysis based on genetic instrumental variables as proxies for 486 selected human serum metabolites to evaluate the causal effects of genetically determined metabotypes (GDMs) on cancers. Summary data from various cancer types obtained from large consortia. Inverse variance weighted (IVW), MR-Egger and weighted-median methods were implemented to infer the causal effects, moreover, we particularly explored the presentence of horizontal pleiotropy through MR-Egger regression and MR-PRESSO Global test. Metabolic pathways analysis and subgroup analyses were further explored using available data. Statistical analyses were all performed in R. Results: In MR analysis, 202 significant causative relationship features were identified. 7-alpha-hydroxy-3-oxo-4-cholestenoate (OR Conclusions: Our study integrated metabolomics and genomics to explore the risk factors involved in the development of cancers. It is worth exploring whether metabolites with causality can be used as biomarkers to distinguish patients at high risk of cancer in clinical practice. More detailed studies are needed to clarify the mechanistic pathways.
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