ArticleScientific reports2017
Untangling the role of one-carbon metabolism in colorectal cancer risk: a comprehensive Bayesian network analysis.
Article in Scientific reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.
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19 citing papers in PubMed, 38 citations in OpenAlex.
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- Bayesian Networks for Prescreening in Depression: Algorithm Development and Validation.JMIR mental health · 2024Article
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- Biomarkers of the transsulfuration pathway and risk of renal cell carcinoma in the European Prospective Investigation into Cancer and Nutrition (EPIC) study.International journal of cancer · 2022Article
- Cysteine Regulates Oxidative Stress and Glutathione-Related Antioxidative Capacity before and after Colorectal Tumor Resection.International journal of molecular sciences · 2022Article
- Down-regulated C4orf19 confers poor prognosis in colon adenocarcinoma identified by gene co-expression network.Journal of Cancer · 2022Article
- A Bayesian network approach incorporating imputation of missing data enables exploratory analysis of complex causal biological relationships.PLoS genetics · 2021Article
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- Towards the Interpretability of Machine Learning Predictions for Medical Applications Targeting Personalised Therapies: A Cancer Case Survey.International journal of molecular sciences · 2021Review
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- Analysis and decision based on specialist self-assessment for prognosis factors of acute leukemia integrating data-driven Bayesian network and fuzzy cognitive map.Medical & biological engineering & computing · 2020Article
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- Metabolic analysis of amino acids and vitamin B6 pathways in lymphoma survivors with cancer related chronic fatigue.PloS one · 2020Article
- Application of tabu search-based Bayesian networks in exploring related factors of liver cirrhosis complicated with hepatic encephalopathy and disease identification.Scientific reports · 2019Article
- One-carbon metabolite ratios as functional B-vitamin markers and in relation to colorectal cancer risk.International journal of cancer · 2019Article
- Prevalence of hyperlipidemia in Shanxi Province, China and application of Bayesian networks to analyse its related factors.Scientific reports · 2018Article
- One-carbon metabolism biomarkers and genetic variants in relation to colorectal cancer risk by KRAS and BRAF mutation status.PloS one · 2018Article
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Authors and funding
9 authors at 2 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The role of one-carbon metabolism (1CM), particularly folate, in colorectal cancer (CRC) development has been extensively studied, but with inconclusive results. Given the complexity of 1CM, the conventional approach, investigating components individually, may be insufficient. We used a machine learning-based Bayesian network approach to study, simultaneously, 14 circulating one-carbon metabolites, 17 related single nucleotide polymorphisms (SNPs), and several environmental factors in relation to CRC risk in 613 cases and 1190 controls from the prospective Northern Sweden Health and Disease Study. The estimated networks corresponded largely to known biochemical relationships. Plasma concentrations of folate (direct), vitamin B6 (pyridoxal 5-phosphate) (inverse), and vitamin B2 (riboflavin) (inverse) had the strongest independent associations with CRC risk. Our study demonstrates the importance of incorporating B-vitamins in future studies of 1CM and CRC development, and the usefulness of Bayesian network learning for investigating complex biological systems in relation to disease.
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