One‐carbon metabolism‐related micronutrients intake and risk for hepatocellular carcinoma: A prospective cohort study

Antwi, Samuel O.; Petrick, Jessica L.; Campbell, Peter T.; Norez, Daniel; Stevens, Victoria L.; Liao, Linda M.; Roberts, Lewis R.; Patel, Tushar; McGlynn, Katherine A.

doi:10.1002/ijc.33007

Cited by 16 publications

(19 citation statements)

References 51 publications

(163 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Nicotinamide did not show significant effects in clinical trials attempting to treat glioblastoma or non-small cell lung carcinoma [70]. However, in a 16-year follow up study, consisting of nearly 650 hepatocellular carcinoma (HCC) cases, higher niacin intake was associated with a lower risk of HCC, which displayed an inverse dose response association [71].…”

Section: Niacin B3mentioning

confidence: 99%

B Vitamins and Their Role in Immune Regulation and Cancer

et al. 2020

View full text Add to dashboard Cite

B group vitamins represent essential micronutrients for myriad metabolic and regulatory processes required for human health, serving as cofactors used by hundreds of enzymes that carry out essential functions such as energy metabolism, DNA and protein synthesis and other critical functions. B vitamins and their corresponding vitamers are universally essential for all cellular life forms, from bacteria to humans. Humans are unable to synthesize most B vitamins and are therefore dependent on their diet for these essential micronutrients. More recently, another source of B vitamins has been identified which is derived from portions of the 1013 bacterial cells inhabiting the gastrointestinal tract. Here we review the expanding literature examining the relationship between B vitamins and the immune system and diverse cancers. Evidence of B vitamin’s role in immune cell regulation has accumulated in recent years and may help to clarify the disparate findings of numerous studies attempting to link B vitamins to cancer development. Much work remains to be carried out to fully clarify these relationships as the complexity of B vitamins’ essential functions complicates an unequivocal assessment of their beneficial or detrimental effects in inflammation and cancers.

show abstract

Section: Niacin B3mentioning

confidence: 99%

B Vitamins and Their Role in Immune Regulation and Cancer

et al. 2020

View full text Add to dashboard Cite

show abstract

“…23 In the present study, we identified incident HCC cases occurring over the follow-up period using the International Classification of Diseases in Oncology, Third Edition (ICD-0-3) topographic code C22.0 and morphology codes 8170 to 8175. 24,25 Risk Factor Ascertainment and Diet Assessment At baseline, participants completed risk factor questionnaires that solicited various information, including demographics (age, sex, race/ethnicity), anthropometric measures, personal and family health history, and lifestyle factors that included smoking history, physical activity, and alcohol use. Self-reported anthropometric data were used to calculate body mass index (BMI) as weight in kilograms divided by height in meters-squared (kg/m 2 ).…”

Section: Identification Of Hcc Cases and Cancer-free Controlsmentioning

confidence: 99%

Hepatocellular Carcinoma Risk Prediction in the NIH-AARP Diet and Health Study Cohort: A Machine Learning Approach

Thomas

Liao

Sinha

et al. 2022

JHC

Self Cite

View full text Add to dashboard Cite

Background: Prediction of hepatocellular carcinoma (HCC) development in persons with known risk factors remain a challenge and is an urgent unmet need, considering projected increases in HCC incidence and mortality in the US. We aimed to use machine learning techniques to identify a set of demographic, lifestyle, and health history information that can be used simultaneously for populationlevel HCC risk prediction. Methods: Data from 377,065 participants of the NIH-AARP Diet and Health Study, among whom 647 developed HCC over 16 years of follow-up, were analyzed. The sample was randomly divided into independent training (60%) and validation (40%) sets. We evaluated 123 participant characteristics and tested 15 different machine learning algorithms for robustness in predicting HCC risk. Separately, we evaluated variables selected from multivariable logistic regression for risk prediction. Results:The random under-sampling boosting (RUSBoost) algorithm performed best during model testing. Fourteen participant characteristics were selected for risk prediction based on differences between cases and controls (Bonferroni-corrected p-values <0.0004) and from the most frequently used variables in the initial two decision trees of the RUSBoost learner trees. A predictive model based on the 14 variables had an AUC of 0.72 (sensitivity=0.68, specificity=0.63) and independent validation AUC of 0.65 (sensitivity=0.68, specificity=0.63). A subset of 9 variables identified through logistic regression also had an AUC of 0.72 (sensitiv-ity=0.67, specificity=0.63) and independent validation AUC of 0.65 (sensitivity=0.70, specificity=0.61). Conclusion: Population-level HCC risk prediction can be performed with a machine learning-based algorithm and could inform strategies for improving HCC risk reduction in at-risk groups.

show abstract

“…13 A higher intake of vitamin B, which is involed in folate-mediated one-carbon metabolic pathways predicts a higher risk of endometrial cancer. 14 However, a high intake of vitamins related to one-carbon metabolism may help prevent BC, especially ER + /PR + BC, 15 as well as hepatocellular cancer 16 and lung cancer. 17 The SNPs in the genes of one-carbon metabolism, including methionine synthase (MTR), methylenetetrahydrofolate reductase (MTHFR), 10-formyltetrahydrofolate dehydrogenase (ALDH1L1), DNA methyltransferases (DNMTs), thymidylate synthase (TYMS) and reduced folate carrier 1 (RFC1), have been suggested to contribute to the occurrence of cancers.…”

Section: Introductionmentioning

confidence: 99%

Association Between SNPs in the One-Carbon Metabolism Pathway and the Risk of Female Breast Cancer in a Chinese Population

Wang¹,

Xiong²,

Pan³

et al. 2022

PGPM

View full text Add to dashboard Cite

The aim of this study is to assess the relationship between the single-nucleotide polymorphism (SNP) in the one-carbon metabolism pathway (MTR rs1805087; MTHFR rs1801133; ALDH1L1 rs2002287, rs2276731; DNMT1 rs16999593, rs2228611; DNMT3B rs2424908) and the risk of female breast cancer (BC) in a Chinese population. Methods: A population-based case-control study was conducted, involving a total of 439 BC patients and 439 age-matched healthy controls. We adopted Sequence MASSarray to identify genotyping, and used immunohistochemistry (IHC) to test the expression of estrogen receptor (ER), progesterone receptor (PR) and human epidermal growth factor receptor-2 (HER-2) in tumor tissue. Results: We found that rs16999593 (TC/CC vs TT: adjusted OR=1.38, 95% CI: 1.03-1.84, p=0.030) was associated with an increased risk of BC, while rs2228611 was related to a decreased BC risk (GA/AA vs GG: adjusted OR=0.74, 95% CI: 0.56-0.97, p=0.030). In addition, stratified analysis revealed that DNMT1 rs16999593, rs2228611 and ALDH1L1 rs2002287 contributed to the risk of BC, with associations with ER, PR and HER-2 expression. Conclusion:In summary, this study revealed that DNMT1 rs16999593 and rs2228611 were associated with BC risk.

show abstract

One‐carbon metabolism‐related micronutrients intake and risk for hepatocellular carcinoma: A prospective cohort study

Cited by 16 publications

References 51 publications

B Vitamins and Their Role in Immune Regulation and Cancer

B Vitamins and Their Role in Immune Regulation and Cancer

Hepatocellular Carcinoma Risk Prediction in the NIH-AARP Diet and Health Study Cohort: A Machine Learning Approach

Association Between SNPs in the One-Carbon Metabolism Pathway and the Risk of Female Breast Cancer in a Chinese Population

Contact Info

Product

Resources

About