Investigating Causal Associations of Circulating Micronutrients Concentrations with the Risk of Lung Cancer: A Mendelian Randomization Study

Yan, Haihao; Jin, Xiao; Yin, Linlin; Zhu, Changjun; Feng, Ganzhu

doi:10.3390/nu14214569

Cited by 13 publications

(14 citation statements)

References 68 publications

(77 reference statements)

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“…Only one study reported that Non-oily sh intake were signi cantly negatively associated with lung cancer risk the disappeared in the xed-effects IVW method, while the suggestive association disappeared in the random-effects IVW method (34). Our Mendelian randomization analysis provides causal evidence supporting the association between Non-oily sh intake and Lung adenocarcinoma.…”

Section: Discussionmentioning

confidence: 55%

“…These can reveal bioinformatics changes and interactions at different levels, facilitating the understanding of comprehensive cancer research. The association between red/processed meat intake and lung cancer is widely con rmed, while few associations were founded to lung adenocarcinoma (34). Fish consumption was slightly negatively associated with CRC risk.…”

Section: Discussionmentioning

confidence: 99%

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Relationships between Meat Intake and Pan-Cancer: Univariate and Multivariate Mendelian Randomization Analysis

Ge,

Liu,

Huang

et al. 2024

Preprint

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Background To the best of our knowledge, there is currently no research utilizing causal methods to investigate the association between meat intake and pan-cancer outcomes. In observational studies, meat intake has been implicated in various cancer incidences. In this study, we employed both univariate and multivariate Mendelian randomization methods to assess whether the intake of six types of meat is causally linked to 23 different types of cancer. Methods We utilized genetic data sourced from the UK database to conduct univariate Mendelian randomization studies on the causal relationships between the intake of five types of meat and 23 different cancer types. Furthermore, we applied multivariate Mendelian randomization, incorporating Body Mass Index (BMI), to investigate the causal associations between the intake of these five types of meat and the occurrence of 23 cancer types. Results In univariate Mendelian randomization analyses, we identified causal relationships between Lamb/mutton intake and Prostate cancer, Non-oily fish intake and Lung adenocarcinoma, Non-oily fish intake and Cervical cancer, Oily fish intake and Prostate cancer, Pork intake and Colorectal cancer, Beef intake and Lung adenocarcinoma. Subsequently, incorporating BMI into multivariate Mendelian randomization analysis revealed causal associations between Beef intake and Lung adenocarcinoma (OR = 0.41, 95% confidence interval (CI) = 1.539–4.948, P-value < 0.001), as well as between Non-oily fish intake and Lung adenocarcinoma (OR = 0.41, 95% confidence interval (CI) = 0.192–0.866, P-value = 0.02). No causal relationships were observed between other meat intakes and cancer. Conclusions Our results suggest a causal relationship between Beef intake as a risk factor and Lung adenocarcinoma, while Non-oily fish intake, serving as a protective factor, is causally associated with a reduced risk of Lung adenocarcinoma. No significant causal relationships were observed between intake of other types of meat and cancer.

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Section: Discussionmentioning

confidence: 55%

Section: Discussionmentioning

confidence: 99%

Relationships between Meat Intake and Pan-Cancer: Univariate and Multivariate Mendelian Randomization Analysis

Ge,

Liu,

Huang

et al. 2024

Preprint

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“…Besides calcium, phosphate is also found to be inversely associated with liver cancer (adjusted OR = 0.36; 95% CI: 0.22-0.58; p-value = 0.001). There is little research on phosphate and cancers, with inconsistent trends among the studies and/or cancers (Brown 2022;Wulaningsih et al 2013b;Yan et al 2022). It is accepted that altered levels of phosphate have been linked to the onset of cancer, but with uncertainties on the pathophysiology behind it.…”

Section: Discussionmentioning

confidence: 99%

Identification of phenomic data in the pathogenesis of cancers of the gastrointestinal (GI) tract: A UK biobank data analysis

Tan,

Guan,

Bujang

et al. 2023

Preprint

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Purpose: Gastrointestinal (GI) cancers account for a significant incidence and mortality rates of cancers globally. Utilization of a phenomic data approach allows researchers to reveal the mechanisms and molecular pathogenesis of these conditions. We aimed to investigate the correlation between the phenomic features and gastrointestinal cancers in a large cohort study. Methods: We included 502369 subjects aged 37-73 years in the UK Biobank recruited since 2006. Socio-demographic factors, blood chemistry, anthropometric measurements and lifestyle factors of participants collected at baseline assessment were analysed. Unviariate and multivariate logistic regression were conducted to determine the significant risk factors for the outcomes of interest, based on the odds ratio (OR) and 95% confidence intervals (CI). Results: The analysis included a total of 441141 participants, of which 7952 (1.8%) were incident GI cancer cases and 433189 were healthy controls. A marker, cystatin C was associated with total and each gastrointestinal cancer (adjusted OR 2.43; 95% CI 2.23-2.64). Compared to Asians, Whites ethnicity had higher risk of developing gastrointestinal cancers. Several other factors were associated with distinct GI cancers. Conclusion: Cystatin C and ethnicity appear to be important features in GI cancers, suggesting some overlap in the molecular pathogenesis of GI cancers.

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“…Currently, many studies have used MR to explore the correlations between dietary intake and disease, including cardiovascular disease (13), mental illness (14) and cancer (15,16). Additionally, previous MR studies have demonstrated a link between micronutrients concentration and lung cancer (17)(18)(19). Since many foods contain nutrients evaluated in previous studies, it is necessary to further assess the effects of specific dietary intake on lung cancer.…”

Section: Introductionmentioning

confidence: 99%

Associations between diet and incidence risk of lung cancer: A Mendelian randomization study

et al. 2023

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BackgroundObservational studies have revealed associations between diet and lung cancer. However, it is unclear whether the association is disturbed by confounding factors. We used a two-sample Mendelian randomization (MR) method to characterize the associations between diet and the lung cancer risk (including 3 subtypes: lung adenocarcinoma (LA), squamous cell lung carcinoma (SqCLC), and small cell lung cancer (SCLC)).Materials and methodsData on 20 diets were screened from the UK Biobank. Lung cancer data came from a large meta-analysis of 85,716 individuals. The inverse-variance weighted method was used as the main analysis. Sensitivity analysis was also used to explain the different multiplicity patterns of the final model.ResultsOur results showed significant evidence that 3 diets were associated with lung cancer [odds ratio (OR): 0.271, 95% confidence interval (CI): 0.150–0.488, p = 1.46 × 10−4, dried fruit; OR: 3.010, 95% CI: 1.608–5.632, p = 5.70 × 10−4, beer] and SqCLC (OR: 0.135, 95% CI: 0.062–0.293, p = 2.33 × 10−5, dried fruit; OR: 0.485, 95% CI: 0.328–0.717, p = 2.9 × 10−4, cheese). There were also suggestive correlations between 5 dietary intakes and lung cancer (OR: 0.441, 95% CI: 0.250–0.778, p = 0.008, cereal; OR: 2.267, 95% CI: 1.126–4.564, p = 0.022, beef), LA (OR: 0.494, 95% CI: 0.285–0.858, p = 0.012, dried fruit; OR: 3.536, 95% CI: 1.546–8.085, p = 0.003, beer) and SCLC (OR: 0.006, 95% CI: 0.000–0.222, p = 0.039, non-oily fish; OR: 0.239, 95% CI: 0.086–0.664, p = 0.006, dried fruit). No other association between diet and lung cancer was observed.ConclusionOur study preliminary found that cheese, dried fruit, and beer intake were significantly associated with the risk of lung cancer or its subtypes, while cereal, beef, and non-oily fish intake were suggestively associated with the risk of lung cancer or its subtypes. Well-designed prospective studies are still needed to confirm our findings in the future.

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Investigating Causal Associations of Circulating Micronutrients Concentrations with the Risk of Lung Cancer: A Mendelian Randomization Study

Cited by 13 publications

References 68 publications

Relationships between Meat Intake and Pan-Cancer: Univariate and Multivariate Mendelian Randomization Analysis

Relationships between Meat Intake and Pan-Cancer: Univariate and Multivariate Mendelian Randomization Analysis

Identification of phenomic data in the pathogenesis of cancers of the gastrointestinal (GI) tract: A UK biobank data analysis

Associations between diet and incidence risk of lung cancer: A Mendelian randomization study

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