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Ojobor CC, O'Brien GM, Siervo M, Ogbonnaya C, Brandt K. Carrot intake is consistently negatively associated with cancer incidence: A systematic review and meta-analysis of prospective observational studies. Crit Rev Food Sci Nutr 2023:1-13. [PMID: 38104588 DOI: 10.1080/10408398.2023.2287176] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/19/2023]
Abstract
Carrots are main dietary sources of several potential anti-cancer compounds, including polyacetylenes, while β-carotene has shown no benefits in controlled cancer trials. Accordingly, associations between carrot intake and cancer incidence were quantified, where necessary using α-carotene as a non-causal biomarker of carrot consumption, by searching for studies published before June 2022 reporting risk estimates for relationships of cancer incidence with carrot intake or α-carotene intake or α-carotene plasma concentration, supplemented with hand searches of included studies and reviews. Meta-analyses comparing highest and lowest reported intakes in prospective studies using a random-effects model estimated summary relative risks (RRs) with 95% confidence intervals (CIs), separately for carrot intake or α-carotene plasma concentration, and the corresponding dose-responses. Of 198 observational studies, in 50 prospective studies with 52000 cases recording carrot intake, the cancer-risk was substantially reduced (RR 0.90, 95% CI 0.87-0.94, p ˂ 0·00004). In 30 prospective studies with 9331 cases reporting plasma α-carotene levels, summary RR was 0.80 (0.72-0.89, p ˂ 0·00006). For both exposure types, inter-study heterogeneity was moderate, interaction with cancer types insignificant, and the dose-response significant (p ˂ 0·01). In conclusion, carrot consumption is robustly associated with decreased cancer-risk; carrot consumption should be encouraged, and the causal mechanisms further investigated.
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Affiliation(s)
- Charles C Ojobor
- Human Nutrition & Exercise Research Centre, Population Health Sciences Institute, Faculty of Medical Sciences, Newcastle University, Newcastle upon Tyne, UK
| | - Gerard M O'Brien
- Human Nutrition & Exercise Research Centre, Population Health Sciences Institute, Faculty of Medical Sciences, Newcastle University, Newcastle upon Tyne, UK
| | - Mario Siervo
- School of Life Sciences, Queen's Medical Centre, The University of Nottingham Medical School, Nottingham, UK
| | - Chibueze Ogbonnaya
- Population, Policy and Practice Research and Teaching Department, Institute of Child Health, Faculty of Population Health Sciences, University College London, London, UK
| | - Kirsten Brandt
- Human Nutrition & Exercise Research Centre, Population Health Sciences Institute, Faculty of Medical Sciences, Newcastle University, Newcastle upon Tyne, UK
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2
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Zhang Z, Wei Z, Zhao L, Gu C, Meng Y. Assessing the clinical utility of multi-omics data for predicting serous ovarian cancer prognosis. J OBSTET GYNAECOL 2023; 43:2171778. [PMID: 36803381 DOI: 10.1080/01443615.2023.2171778] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/23/2023]
Abstract
Ovarian cancer (OC) is characterised by heterogeneity that complicates the prediction of patient survival and treatment outcomes. Here, we conducted analyses to predict the prognosis of patients from the Genomic Data Commons database and validated the predictions by fivefold cross-validation and by using an independent dataset in the International Cancer Genome Consortium database. We analysed the somatic DNA mutation, mRNA expression, DNA methylation, and microRNA expression data of 1203 samples from 599 serous ovarian cancer (SOC) patients. We found that principal component transformation (PCT) improved the predictive performance of the survival and therapeutic models. Deep learning algorithms also showed better predictive power than the decision tree (DT) and random forest (RF). Furthermore, we identified a series of molecular features and pathways that are associated with patient survival and treatment outcomes. Our study provides perspective on building reliable prognostic and therapeutic strategies and further illuminates the molecular mechanisms of SOC.Impact statementWhat is already known on this subject? Recent studies have focussed on predicting cancer outcomes based on omics data. But the limitation is the performance of single-platform genomic analyses or the small numbers of genomic analyses.What do the results of this study add? We analysed multi-omics data, found that principal component transformation (PCT) significantly improved the predictive performance of the survival and therapeutic models. Deep learning algorithms also showed better predictive power than did decision tree (DT) and random forest (RF). Furthermore, we identified a series of molecular features and pathways that are associated with patient survival and treatment outcomes.What are the implications of these findings for clinical practice and/or further research? Our study provides perspective on how to build reliable prognostic and therapeutic strategies and further illuminates the molecular mechanisms of SOC for future studies.
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Affiliation(s)
- Zhe Zhang
- Department of Obstetrics and Gynecology, Seventh Medical Center of Chinese, PLA General Hospital, Beijing, P.R. China
| | - Zhiyao Wei
- Department of Obstetrics and Gynecology, Seventh Medical Center of Chinese, PLA General Hospital, Beijing, P.R. China
| | - Luyang Zhao
- Department of Obstetrics and Gynecology, Seventh Medical Center of Chinese, PLA General Hospital, Beijing, P.R. China
| | - Chenglei Gu
- Department of Obstetrics and Gynecology, Seventh Medical Center of Chinese, PLA General Hospital, Beijing, P.R. China
| | - Yuanguang Meng
- Department of Obstetrics and Gynecology, Seventh Medical Center of Chinese, PLA General Hospital, Beijing, P.R. China
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3
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Zeitoun T, El-Sohemy A. Using Mendelian Randomization to Study the Role of Iron in Health and Disease. Int J Mol Sci 2023; 24:13458. [PMID: 37686261 PMCID: PMC10487635 DOI: 10.3390/ijms241713458] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/20/2023] [Revised: 08/09/2023] [Accepted: 08/25/2023] [Indexed: 09/10/2023] Open
Abstract
Iron has been shown to play a dual role in health and disease, with either a protective or harmful effect. Some of the contradictory findings from observational studies may be due to reverse causation, residual confounding, or small sample size. One approach that may overcome these limitations without the high cost of randomized control trials is the use of Mendelian randomization to examine the long-term role of iron in a variety of health outcomes. As there is emerging evidence employing Mendelian randomization as a method of assessing the role of micronutrients in health and disease, this narrative review will highlight recent Mendelian randomization findings examining the role of iron in cardiometabolic disorders, inflammation, neurological disorders, different cancers, and a number of other health-related outcomes.
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Affiliation(s)
| | - Ahmed El-Sohemy
- Department of Nutritional Sciences, Temerty Faculty of Medicine, University of Toronto, Medical Sciences Building, Room 5326A, 1 King’s College Circle, Toronto, ON M5S 1A8, Canada;
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4
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Kim JY, Song M, Kim MS, Natarajan P, Do R, Myung W, Won HH. An atlas of associations between 14 micronutrients and 22 cancer outcomes: Mendelian randomization analyses. BMC Med 2023; 21:316. [PMID: 37605270 PMCID: PMC10441703 DOI: 10.1186/s12916-023-03018-y] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/16/2022] [Accepted: 08/02/2023] [Indexed: 08/23/2023] Open
Abstract
BACKGROUND Micronutrients, namely vitamins and minerals, are associated with cancer outcomes; however, their reported effects have been inconsistent across studies. We aimed to identify the causally estimated effects of micronutrients on cancer by applying the Mendelian randomization (MR) method, using single-nucleotide polymorphisms associated with micronutrient levels as instrumental variables. METHODS We obtained instrumental variables of 14 genetically predicted micronutrient levels and applied two-sample MR to estimate their causal effects on 22 cancer outcomes from a meta-analysis of the UK Biobank (UKB) and FinnGen cohorts (overall cancer and 21 site-specific cancers, including breast, colorectal, lung, and prostate cancer), in addition to six major cancer outcomes and 20 cancer subset outcomes from cancer consortia. We used sensitivity MR methods, including weighted median, MR-Egger, and MR-PRESSO, to assess potential horizontal pleiotropy or heterogeneity. Genome-wide association summary statistical data of European descent were used for both exposure and outcome data, including up to 940,633 participants of European descent with 133,384 cancer cases. RESULTS In total, 672 MR tests (14 micronutrients × 48 cancer outcomes) were performed. The following two associations met Bonferroni significance by the number of associations (P < 0.00016) in the UKB plus FinnGen cohorts: increased risk of breast cancer with magnesium levels (odds ratio [OR] = 1.281 per 1 standard deviation [SD] higher magnesium level, 95% confidence interval [CI] = 1.151 to 1.426, P < 0.0001) and increased risk of colorectal cancer with vitamin B12 level (OR = 1.22 per 1 SD higher vitamin B12 level, 95% CI = 1.107 to 1.345, P < 0.0001). These two associations remained significant in the analysis of the cancer consortia. No significant heterogeneity or horizontal pleiotropy was observed. Micronutrient levels were not associated with overall cancer risk. CONCLUSIONS Our results may aid clinicians in deciding whether to regulate the intake of certain micronutrients, particularly in high-risk groups without nutritional deficiencies, and may help in the design of future clinical trials.
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Affiliation(s)
- Jong Yeob Kim
- Samsung Advanced Institute for Health Sciences & Technology (SAIHST) Sungkyunkwan University, Samsung Medical Center, 81 Irwon-Ro, Gangnam-Gu, Seoul, 06351, Republic of Korea
- Yonsei University College of Medicine, Seoul, Republic of Korea
| | - Minku Song
- Samsung Advanced Institute for Health Sciences & Technology (SAIHST) Sungkyunkwan University, Samsung Medical Center, 81 Irwon-Ro, Gangnam-Gu, Seoul, 06351, Republic of Korea
| | - Min Seo Kim
- Samsung Advanced Institute for Health Sciences & Technology (SAIHST) Sungkyunkwan University, Samsung Medical Center, 81 Irwon-Ro, Gangnam-Gu, Seoul, 06351, Republic of Korea
- Medical and Population Genetics and Cardiovascular Disease Initiative Broad Institute of Harvard and MIT, Cambridge, MA, USA
- Cardiovascular Research Center Massachusetts General Hospital, Boston, MA, USA
| | - Pradeep Natarajan
- Medical and Population Genetics and Cardiovascular Disease Initiative Broad Institute of Harvard and MIT, Cambridge, MA, USA
- Cardiovascular Research Center Massachusetts General Hospital, Boston, MA, USA
- Department of Medicine, Harvard Medical School, Boston, MA, USA
| | - Ron Do
- The Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Woojae Myung
- Department of Neuropsychiatry, Seoul National University Bundang Hospital, Seongnam, Republic of Korea
| | - Hong-Hee Won
- Samsung Advanced Institute for Health Sciences & Technology (SAIHST) Sungkyunkwan University, Samsung Medical Center, 81 Irwon-Ro, Gangnam-Gu, Seoul, 06351, Republic of Korea.
- Samsung Genome Institute, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea.
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5
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An Assessment of Serum Selenium Concentration in Women with Ovarian Cancer. Nutrients 2023; 15:nu15040850. [PMID: 36839209 PMCID: PMC9963663 DOI: 10.3390/nu15040850] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/01/2023] [Revised: 01/25/2023] [Accepted: 02/03/2023] [Indexed: 02/11/2023] Open
Abstract
BACKGROUND Available studies on the effect of serum selenium levels on the risk of malignancies show some conflicting results. In this study, we investigated the correlation between serum selenium levels and ovarian cancer occurrence. METHODS 314 women (157 diseased patients and 157 healthy ones) matched in terms of age and BMI were included in the study. The measurements of selenium in the collected blood samples were performed using an ICP mass spectrometer. Univariable and multivariable analyzes were performed to determine the relationship between the factors under the study and the occurrence of ovarian cancer. RESULTS The mean concentration of selenium was lower among diseased ones than among controls (53.31 μg/L vs. 78.99 μg/L). A decrease in selenium concentration was noticed with the advancement of ovarian cancer. In univariable and multivariable analyzes, a clear relationship between low selenium concentration and the occurrence of ovarian cancer was found (35.3 (95% CI: 11.2-111; p < 0.001) and 45.8 (95% CI: 12.8-164; p < 0.001)). CONCLUSION The studied patients with ovarian cancer are characterized by statistically significant lower serum selenium levels than patients from the control group. Among the study group, a decrease in selenium concentration was observed with an increase in the FIGO stage. The determination of the role of selenium as a prophylactic factor in ovarian cancer requires further prospective studies.
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6
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Cabrera-Mendoza B, Wendt FR, Pathak GA, De Angelis F, De Lillo A, Koller D, Polimanti R. The association of obesity-related traits on COVID-19 severity and hospitalization is affected by socio-economic status: a multivariable Mendelian randomization study. Int J Epidemiol 2022; 51:1371-1383. [PMID: 35751636 PMCID: PMC9278255 DOI: 10.1093/ije/dyac129] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Revised: 10/18/2021] [Accepted: 05/30/2022] [Indexed: 11/22/2022] Open
Abstract
BACKGROUND Due to its large impact on human health, socio-economic status (SES) could at least partially influence the established association between obesity and coronavirus disease 2019 (COVID-19) severity. To estimate the independent effect of body size and SES on the clinical manifestations of COVID-19, we conducted a Mendelian randomization (MR) study. METHODS Applying two-sample MR approaches, we evaluated the effects of body mass index (BMI, n = 322 154), waist circumference (WC, n = 234 069), hip circumference (n = 213 019) and waist-hip ratio (n = 210 088) with respect to three COVID-19 outcomes: severe respiratory COVID-19 (cases = 8779, controls = 1 000 875), hospitalized COVID-19 (cases = 17 992, controls = 1 810 493) and COVID-19 infection (cases = 87 870, controls = 2 210 804). Applying a multivariable MR (MVMR) approach, we estimated the effect of these anthropometric traits on COVID-19 outcomes accounting for the effect of SES assessed as household income (n = 286 301). RESULTS BMI and WC were associated with severe respiratory COVID-19 [BMI: odds ratio (OR) = 1.51, CI = 1.24-1.84, P = 3.01e-05; WC: OR = 1.48, 95% CI = 1.15-1.91, P = 0.0019] and hospitalized COVID-19 (BMI: OR = 1.50, 95% CI = 1.32-1.72, P = 8.83e-10; WC: OR = 1.41, 95% CI = 1.20-1.67, P = 3.72e-05). Conversely, income was associated with lower odds of severe respiratory (OR = 0.70, 95% CI = 0.53-0.93, P = 0.015) and hospitalized COVID-19 (OR = 0.78, 95% CI = 0.66-0.92, P = 0.003). MVMR analyses showed that the effect of these obesity-related traits on increasing the odds of COVID-19 negative outcomes becomes null when accounting for income. Conversely, the association of income with lower odds of COVID-19 negative outcomes is not affected when including the anthropometric traits in the multivariable model. CONCLUSION Our findings indicate that SES contributes to the effect of obesity-related traits on COVID-19 severity and hospitalization.
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Affiliation(s)
- Brenda Cabrera-Mendoza
- Department of Psychiatry, Yale School of Medicine, West Haven, CT, USA
- VA CT Healthcare System, West Haven, CT, USA
| | - Frank R Wendt
- Department of Psychiatry, Yale School of Medicine, West Haven, CT, USA
- VA CT Healthcare System, West Haven, CT, USA
| | - Gita A Pathak
- Department of Psychiatry, Yale School of Medicine, West Haven, CT, USA
- VA CT Healthcare System, West Haven, CT, USA
| | - Flavio De Angelis
- Department of Psychiatry, Yale School of Medicine, West Haven, CT, USA
- VA CT Healthcare System, West Haven, CT, USA
| | | | - Dora Koller
- Department of Psychiatry, Yale School of Medicine, West Haven, CT, USA
- VA CT Healthcare System, West Haven, CT, USA
| | - Renato Polimanti
- Corresponding author. Department of Psychiatry, Yale University School of Medicine, VA CT 116A2, 950 Campbell Avenue, West Haven, CT 06516, USA. E-mail:
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7
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Feng X, Yang W, Huang L, Cheng H, Ge X, Zan G, Tan Y, Xiao L, Liu C, Chen X, Mo Z, Li L, Yang X. Causal Effect of Genetically Determined Blood Copper Concentrations on Multiple Diseases: A Mendelian Randomization and Phenome-Wide Association Study. PHENOMICS (CHAM, SWITZERLAND) 2022; 2:242-253. [PMID: 36939787 PMCID: PMC9590500 DOI: 10.1007/s43657-022-00052-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/27/2021] [Revised: 03/03/2022] [Accepted: 03/10/2022] [Indexed: 10/18/2022]
Abstract
Exposures to copper have become a health concern. We aim to explore the broad clinical effects of blood copper concentrations. A total of 376,346 Caucasian subjects were enrolled. We performed a Mendelian randomization and phenome-wide association study (MR-PheWAS) to evaluate the causal association between copper and a wide range of outcomes in UK Biobank, and we constructed a protein-protein interaction network. We found association between blood copper concentrations and five diseases in the overall population and nine diseases in male. MR analysis implicated a causal role of blood copper in five diseases (overall population), including prostate cancer (OR = 0.87, 95% CI 0.77-0.98), malignant and unknown neoplasms of the brain and nervous system (OR = 0.58, 95% CI 0.38-0.89), and hypertension (OR = 0.94, 95% CI 0.90-0.98), essential hypertension (OR = 0.94, 95% CI 0.90-0.98) and cancer of brain and nervous system (OR = 0.63, 95% CI 0.41-0.98). For male, except for dysphagia being newly associated with blood copper (OR = 1.39, 95% CI 1.18-1.63), other MR results were consistent with the overall population. In addition, the PPI network showed possible relationship between blood copper and four outcomes, namely brain cancer, prostate cancer, hypertension, and dysphagia. Blood copper may have causal association with prostate cancer, malignant and unknown neoplasms of the brain and nervous system, hypertension, and dysphagia. Considering that copper is modifiable, exploring whether regulation of copper levels can be used to optimize health outcomes might have public health importance. Supplementary Information The online version contains supplementary material available at 10.1007/s43657-022-00052-3.
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Affiliation(s)
- Xiuming Feng
- grid.256607.00000 0004 1798 2653Department of Occupational Health and Environmental Health, Guangxi Medical University, Nanning, 530021 Guangxi China
- grid.256607.00000 0004 1798 2653Guangxi Key Laboratory for Genomic and Personalized Medicine, Center for Genomic and Personalized Medicine, Guangxi Collaborative Innovation Center for Genomic and Personalized Medicine, Guangxi Medical University, Nanning, 530021 Guangxi China
| | - Wenjun Yang
- grid.256607.00000 0004 1798 2653Department of Occupational Health and Environmental Health, Guangxi Medical University, Nanning, 530021 Guangxi China
- grid.256607.00000 0004 1798 2653Guangxi Key Laboratory for Genomic and Personalized Medicine, Center for Genomic and Personalized Medicine, Guangxi Collaborative Innovation Center for Genomic and Personalized Medicine, Guangxi Medical University, Nanning, 530021 Guangxi China
- grid.256607.00000 0004 1798 2653Collaborative Innovation Centre of Regenerative Medicine and Medical BioResource Development and Application Co-constructed by the Province and Ministry, Guangxi Medical University, Nanning, 530021 Guangxi China
| | - Lulu Huang
- grid.256607.00000 0004 1798 2653Department of Occupational Health and Environmental Health, Guangxi Medical University, Nanning, 530021 Guangxi China
- grid.412594.f0000 0004 1757 2961Department of Radiotherapy, The First Affiliated Hospital of Guangxi Medical University, NanningGuangxi, 530021 China
| | - Hong Cheng
- grid.256607.00000 0004 1798 2653Department of Occupational Health and Environmental Health, Guangxi Medical University, Nanning, 530021 Guangxi China
- grid.256607.00000 0004 1798 2653Guangxi Key Laboratory for Genomic and Personalized Medicine, Center for Genomic and Personalized Medicine, Guangxi Collaborative Innovation Center for Genomic and Personalized Medicine, Guangxi Medical University, Nanning, 530021 Guangxi China
| | - Xiaoting Ge
- grid.256607.00000 0004 1798 2653Department of Occupational Health and Environmental Health, Guangxi Medical University, Nanning, 530021 Guangxi China
- grid.256607.00000 0004 1798 2653Guangxi Key Laboratory for Genomic and Personalized Medicine, Center for Genomic and Personalized Medicine, Guangxi Collaborative Innovation Center for Genomic and Personalized Medicine, Guangxi Medical University, Nanning, 530021 Guangxi China
- grid.440719.f0000 0004 1800 187XDepartment of Public Health, School of Medicine, Guangxi University of Science and Technology, Guangxi, 545006 China
| | - Gaohui Zan
- grid.256607.00000 0004 1798 2653Department of Occupational Health and Environmental Health, Guangxi Medical University, Nanning, 530021 Guangxi China
- grid.256607.00000 0004 1798 2653Guangxi Key Laboratory for Genomic and Personalized Medicine, Center for Genomic and Personalized Medicine, Guangxi Collaborative Innovation Center for Genomic and Personalized Medicine, Guangxi Medical University, Nanning, 530021 Guangxi China
| | - Yanli Tan
- grid.256607.00000 0004 1798 2653Department of Occupational Health and Environmental Health, Guangxi Medical University, Nanning, 530021 Guangxi China
- grid.256607.00000 0004 1798 2653Guangxi Key Laboratory for Genomic and Personalized Medicine, Center for Genomic and Personalized Medicine, Guangxi Collaborative Innovation Center for Genomic and Personalized Medicine, Guangxi Medical University, Nanning, 530021 Guangxi China
| | - Lili Xiao
- grid.256607.00000 0004 1798 2653Guangxi Key Laboratory for Genomic and Personalized Medicine, Center for Genomic and Personalized Medicine, Guangxi Collaborative Innovation Center for Genomic and Personalized Medicine, Guangxi Medical University, Nanning, 530021 Guangxi China
| | - Chaoqun Liu
- grid.256607.00000 0004 1798 2653Department of Nutrition and Food Hygiene, School of Public Health, Guangxi Medical University, Nanning, Guangxi China
| | - Xing Chen
- grid.256607.00000 0004 1798 2653School of Public Health, Guangxi Medical University, Nanning, Guangxi China
| | - Zengnan Mo
- grid.256607.00000 0004 1798 2653Department of Occupational Health and Environmental Health, Guangxi Medical University, Nanning, 530021 Guangxi China
- grid.412594.f0000 0004 1757 2961Department of Urology, Institute of Urology and Nephrology, First Affiliated Hospital of Guangxi Medical University, NanningGuangxi, 530021 China
| | - Longman Li
- grid.256607.00000 0004 1798 2653Department of Occupational Health and Environmental Health, Guangxi Medical University, Nanning, 530021 Guangxi China
- grid.256607.00000 0004 1798 2653Guangxi Key Laboratory for Genomic and Personalized Medicine, Center for Genomic and Personalized Medicine, Guangxi Collaborative Innovation Center for Genomic and Personalized Medicine, Guangxi Medical University, Nanning, 530021 Guangxi China
- grid.412594.f0000 0004 1757 2961Department of Urology, Institute of Urology and Nephrology, First Affiliated Hospital of Guangxi Medical University, NanningGuangxi, 530021 China
| | - Xiaobo Yang
- grid.256607.00000 0004 1798 2653Department of Occupational Health and Environmental Health, Guangxi Medical University, Nanning, 530021 Guangxi China
- grid.256607.00000 0004 1798 2653Guangxi Key Laboratory for Genomic and Personalized Medicine, Center for Genomic and Personalized Medicine, Guangxi Collaborative Innovation Center for Genomic and Personalized Medicine, Guangxi Medical University, Nanning, 530021 Guangxi China
- grid.440719.f0000 0004 1800 187XDepartment of Public Health, School of Medicine, Guangxi University of Science and Technology, Guangxi, 545006 China
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8
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Circulating Concentrations of Nutrition-Related Factors Are Not Causally Associated With Atrial Fibrillation: A Mendelian Randomization Study. J Cardiovasc Pharmacol 2022; 80:210-215. [PMID: 35353069 DOI: 10.1097/fjc.0000000000001263] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/28/2021] [Accepted: 03/11/2022] [Indexed: 11/25/2022]
Abstract
ABSTRACT Observational studies reported conflicting results regarding the association between circulating concentrations of nutrition-related factors and atrial fibrillation (AF). The aim of this study was to evaluate the potential causal effect of 8 circulating nutrition-related factors (vitamin B12, vitamin E, folate, retinol, β-carotene, iron, zinc, and copper) on AF risk using mendelian randomization (MR). Summary-level data for the nutrition-related factors and AF were obtained from genome-wide association studies conducted among individuals of European ancestry. The genome-wide association study on AF included 60,620 cases and 970,216 controls. A 2-sample MR design was applied for evaluating the causal association. In the primary MR analyses, the inverse variance-weighted method did not identify any causal effect of circulating concentrations of vitamin B12 [β = 0.000, standard error (SE) = 0.021, P = 0.994], vitamin E (β = 0.080, SE = 0.152, P = 0.600), retinol (β = 0.098, SE = 0.397, P = 0.806), folate (β = -0.006, SE = 0.052, P = 0.901), β-carotene (β = 0.014, SE = 0.025, P = 0.560), iron (β = -0.009, SE = 0.072, P = 0.905), zinc (β = 0.038, SE = 0.032, P = 0.239), and copper (β = -0.012, SE = 0.023, P = 0.589) on AF. The MR-Egger and MR pleiotropy residual sum and outlier (MR-PRESSO) analyses did not suggest the presence of pleiotropy. In addition, the lack of association remained in the leave-one-out analysis. This MR study indicates no causal association of circulating concentrations of vitamin B12, vitamin E, folate, retinol, β-carotene, iron, zinc, and copper with AF.
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9
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Gong TT, Wei YF, Li XY, Liu FH, Wen ZY, Yan S, Qin X, Gao S, Li XQ, Zhao YH, Wu QJ. Pre-diagnostic dietary consumption of calcium and magnesium and calcium-to-magnesium intake ratio and ovarian cancer mortality: results from the ovarian cancer follow-up study (OOPS). Eur J Nutr 2022; 61:3487-3497. [PMID: 35596007 DOI: 10.1007/s00394-022-02883-2] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/29/2021] [Accepted: 03/31/2022] [Indexed: 12/13/2022]
Abstract
PURPOSE Previous studies have indicated that dietary consumption of calcium (Ca), magnesium (Mg), and the Ca-to-Mg (Ca:Mg) ratio were associated with different health outcomes. However, no study has evaluated the association of pre-diagnostic Ca, Mg, and Ca:Mg ratio consumption with ovarian cancer (OC) survival. METHODS The aforementioned associations were investigated in a cohort of 853 Chinese women diagnosed with OC between 2015 and 2020. A validated food frequency questionnaire was used to evaluate pre-diagnostic diet information. Deaths were recorded until March 31, 2021 via medical records and active follow-up. Cox proportional hazards model was applied to calculate the adjusted hazard ratios (HRs) and 95% confidence intervals (CIs). RESULTS A total of 130 deaths were observed during a median follow-up of 37.2 months. After adjustment for potential confounders, pre-diagnostic Ca (HR< 600 vs. > 1000 = 1.45, 95% CI = 0.47-4.46, p for trend = 0.69) and Mg (HR< 250 vs. > 330 = 0.90, 95% CI = 0.39-2.08, p for trend = 0.77) intakes were found to be unrelated to OC survival, whereas a higher Ca:Mg intake ratio was significantly associated with worse survival (HR< 1.7 vs. > 2.5 = 2.72, 95% CI = 1.28-5.78, p for trend < 0.05). A significant result was also observed when treating the Ca:Mg ratio as a continuous variable (HR = 1.69, 95% CI = 1.12-2.55) for one-unit increment. CONCLUSION Pre-diagnostic consumption of Ca and Mg was unrelated to OC survival, while a higher Ca:Mg intake ratio was strongly associated with worse survival among OC patients.
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Affiliation(s)
- Ting-Ting Gong
- Department of Obstetrics and Gynecology, Shengjing Hospital of China Medical University, No. 36, San Hao Street, Shenyang, Liaoning, 110004, People's Republic of China
| | - Yi-Fan Wei
- Department of Clinical Epidemiology, Shengjing Hospital of China Medical University, No. 36, San Hao Street, Shenyang, Liaoning, 110004, People's Republic of China.,Clinical Research Center, Shengjing Hospital of China Medical University, Shenyang, China
| | - Xin-Yu Li
- Department of Clinical Epidemiology, Shengjing Hospital of China Medical University, No. 36, San Hao Street, Shenyang, Liaoning, 110004, People's Republic of China.,Clinical Research Center, Shengjing Hospital of China Medical University, Shenyang, China
| | - Fang-Hua Liu
- Department of Clinical Epidemiology, Shengjing Hospital of China Medical University, No. 36, San Hao Street, Shenyang, Liaoning, 110004, People's Republic of China.,Clinical Research Center, Shengjing Hospital of China Medical University, Shenyang, China
| | - Zhao-Yan Wen
- Department of Clinical Epidemiology, Shengjing Hospital of China Medical University, No. 36, San Hao Street, Shenyang, Liaoning, 110004, People's Republic of China.,Clinical Research Center, Shengjing Hospital of China Medical University, Shenyang, China
| | - Shi Yan
- Department of Clinical Epidemiology, Shengjing Hospital of China Medical University, No. 36, San Hao Street, Shenyang, Liaoning, 110004, People's Republic of China.,Clinical Research Center, Shengjing Hospital of China Medical University, Shenyang, China
| | - Xue Qin
- Department of Obstetrics and Gynecology, Shengjing Hospital of China Medical University, No. 36, San Hao Street, Shenyang, Liaoning, 110004, People's Republic of China.
| | - Song Gao
- Department of Obstetrics and Gynecology, Shengjing Hospital of China Medical University, No. 36, San Hao Street, Shenyang, Liaoning, 110004, People's Republic of China
| | - Xiu-Qin Li
- Department of Obstetrics and Gynecology, Shengjing Hospital of China Medical University, No. 36, San Hao Street, Shenyang, Liaoning, 110004, People's Republic of China
| | - Yu-Hong Zhao
- Department of Clinical Epidemiology, Shengjing Hospital of China Medical University, No. 36, San Hao Street, Shenyang, Liaoning, 110004, People's Republic of China.,Clinical Research Center, Shengjing Hospital of China Medical University, Shenyang, China
| | - Qi-Jun Wu
- Department of Obstetrics and Gynecology, Shengjing Hospital of China Medical University, No. 36, San Hao Street, Shenyang, Liaoning, 110004, People's Republic of China. .,Department of Clinical Epidemiology, Shengjing Hospital of China Medical University, No. 36, San Hao Street, Shenyang, Liaoning, 110004, People's Republic of China. .,Clinical Research Center, Shengjing Hospital of China Medical University, Shenyang, China.
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10
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Markozannes G, Kanellopoulou A, Dimopoulou O, Kosmidis D, Zhang X, Wang L, Theodoratou E, Gill D, Burgess S, Tsilidis KK. Systematic review of Mendelian randomization studies on risk of cancer. BMC Med 2022; 20:41. [PMID: 35105367 PMCID: PMC8809022 DOI: 10.1186/s12916-022-02246-y] [Citation(s) in RCA: 23] [Impact Index Per Article: 11.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/08/2021] [Accepted: 01/10/2022] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND We aimed to map and describe the current state of Mendelian randomization (MR) literature on cancer risk and to identify associations supported by robust evidence. METHODS We searched PubMed and Scopus up to 06/10/2020 for MR studies investigating the association of any genetically predicted risk factor with cancer risk. We categorized the reported associations based on a priori designed levels of evidence supporting a causal association into four categories, namely robust, probable, suggestive, and insufficient, based on the significance and concordance of the main MR analysis results and at least one of the MR-Egger, weighed median, MRPRESSO, and multivariable MR analyses. Associations not presenting any of the aforementioned sensitivity analyses were not graded. RESULTS We included 190 publications reporting on 4667 MR analyses. Most analyses (3200; 68.6%) were not accompanied by any of the assessed sensitivity analyses. Of the 1467 evaluable analyses, 87 (5.9%) were supported by robust, 275 (18.7%) by probable, and 89 (6.1%) by suggestive evidence. The most prominent robust associations were observed for anthropometric indices with risk of breast, kidney, and endometrial cancers; circulating telomere length with risk of kidney, lung, osteosarcoma, skin, thyroid, and hematological cancers; sex steroid hormones and risk of breast and endometrial cancer; and lipids with risk of breast, endometrial, and ovarian cancer. CONCLUSIONS Despite the large amount of research on genetically predicted risk factors for cancer risk, limited associations are supported by robust evidence for causality. Most associations did not present a MR sensitivity analysis and were thus non-evaluable. Future research should focus on more thorough assessment of sensitivity MR analyses and on more transparent reporting.
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Affiliation(s)
- Georgios Markozannes
- Department of Hygiene and Epidemiology, University of Ioannina School of Medicine, Ioannina, Greece
- Department of Epidemiology and Biostatistics, St. Mary's Campus, School of Public Health, Imperial College London, Norfolk Place, London, W2 1PG, UK
| | - Afroditi Kanellopoulou
- Department of Hygiene and Epidemiology, University of Ioannina School of Medicine, Ioannina, Greece
| | | | - Dimitrios Kosmidis
- Department of Hygiene, Epidemiology and Medical Statistics, Medical School, National and Kapodistrian University of Athens, Athens, Greece
| | - Xiaomeng Zhang
- Centre for Global Health, Usher Institute, The University of Edinburgh, Edinburgh, UK
| | - Lijuan Wang
- Centre for Global Health, Usher Institute, The University of Edinburgh, Edinburgh, UK
| | - Evropi Theodoratou
- Centre for Global Health, Usher Institute, The University of Edinburgh, Edinburgh, UK
- CRUK Edinburgh Centre, Institute of Genetics and Cancer, The University of Edinburgh, Edinburgh, UK
| | - Dipender Gill
- Department of Epidemiology and Biostatistics, St. Mary's Campus, School of Public Health, Imperial College London, Norfolk Place, London, W2 1PG, UK
| | - Stephen Burgess
- Medical Research Council Biostatistics Unit, University of Cambridge, Cambridge, UK
- Cardiovascular Epidemiology Unit, University of Cambridge, Cambridge, UK
| | - Konstantinos K Tsilidis
- Department of Hygiene and Epidemiology, University of Ioannina School of Medicine, Ioannina, Greece.
- Department of Epidemiology and Biostatistics, St. Mary's Campus, School of Public Health, Imperial College London, Norfolk Place, London, W2 1PG, UK.
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11
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Association between Circulating Antioxidants and Longevity: Insight from Mendelian Randomization Study. BIOMED RESEARCH INTERNATIONAL 2022; 2022:4012603. [PMID: 35132376 PMCID: PMC8817834 DOI: 10.1155/2022/4012603] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 09/18/2021] [Accepted: 01/05/2022] [Indexed: 11/18/2022]
Abstract
Background. Antioxidants attracted long-standing attention as promising preventive agents worldwide. Previous observational studies have reported that circulating antioxidants are associated with reduced mortality; however, randomized clinical trials indicate neutral or harmful impacts. The association of long-term circulating antioxidant exposure with longevity is still unclear. Objectives. We aim to determine whether long-term circulating antioxidant exposure is causally associated with longevity in the general population using the two-sample Mendelian randomization (MR) design. Methods. Genetic instruments for circulating antioxidants (ascorbate, lycopene, selenium, beta-carotene, and retinol) and antioxidant metabolites (ascorbate, alpha-tocopherol, gamma-tocopherol, and retinol) were identified from the largest up-to-date genome-wide association studies (GWASs). Summary statistics of these instruments with individual survival to the 90th vs. 60th percentile age (11,262 cases and 25,483 controls) and parental lifespan (
individuals) were extracted. The causal effect was estimated using the inverse-variance weighted method in the main analysis and complemented by multiple sensitivity analyses to test the robustness of results. Results. We found that genetically determined higher concentration of circulating retinol (vitamin A) metabolite was casually associated with a higher odds of longevity (OR, 1.07; 95% CI, 1.02–1.13;
) and increased parental lifespan (lifespan years per 10-fold increase: 0.17; 95% CI, 0.07–0.27;
). Present evidence did not support a causal impact of circulating ascorbate (vitamin C), tocopherol (vitamin E), lycopene, selenium or beta-carotene on life expectancy. No evidence was identified to show the pleiotropic effects had biased the results. Conclusions. Long-term higher exposure to retinol metabolite is causally associated with longevity in the general population. Future MR analyses could assess the current findings further by utilizing additional genetic variants and greater samples from large-scale GWASs.
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12
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Chen Y, Forgetta V, Richards JB, Zhou S. Health Effects of Calcium: Evidence From Mendelian Randomization Studies. JBMR Plus 2021; 5:e10542. [PMID: 34761146 PMCID: PMC8567492 DOI: 10.1002/jbm4.10542] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/05/2021] [Revised: 07/23/2021] [Accepted: 08/03/2021] [Indexed: 12/24/2022] Open
Abstract
Calcium is widely used in conjunction with vitamin D to prevent osteoporosis. The use of calcium supplementation is also promoted for its potential benefits in lowering the risk for metabolic syndromes and cancers. However, the causal link between calcium and various health outcomes remains unclear. This review focuses on the evidence from 24 Mendelian randomization (MR) studies that were designed to minimize bias from confounding and reverse causation. These MR studies evaluated the effect of lifelong genetically higher serum calcium levels on various health outcomes. Overall, available MR studies found no conclusive effects of serum calcium levels on bone mineral density and fracture, ischemic stroke and heart failure, cancers, type 2 diabetes, Parkinson disease, or offspring birth weight. However, a higher serum calcium concentration was reported to have estimated causal effects on increased risks for coronary artery disease (especially myocardial infarction), migraine, renal colic, allergy/adverse effect of penicillin, and reduced risks for osteoarthrosis and osteoarthritis. In conclusion, supplementation of calcium in individuals from the general population is not predicted to influence the risk of most investigated diseases to date. Moreover, long-term high serum calcium concentrations may result in adverse health outcomes. © 2021 The Authors. JBMR Plus published by Wiley Periodicals LLC on behalf of American Society for Bone and Mineral Research.
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Affiliation(s)
- Yiheng Chen
- Department of Human GeneticsMcGill UniversityMontréalQCCanada
- Lady Davis Institute, Jewish General HospitalMcGill UniversityMontréalQCCanada
| | - Vincenzo Forgetta
- Lady Davis Institute, Jewish General HospitalMcGill UniversityMontréalQCCanada
| | - J. Brent Richards
- Department of Human GeneticsMcGill UniversityMontréalQCCanada
- Lady Davis Institute, Jewish General HospitalMcGill UniversityMontréalQCCanada
- Department of Epidemiology, Biostatistics and Occupational HealthMcGill UniversityMontréalQCCanada
- Department of Twin ResearchKing's College LondonLondonUK
| | - Sirui Zhou
- Lady Davis Institute, Jewish General HospitalMcGill UniversityMontréalQCCanada
- Department of Epidemiology, Biostatistics and Occupational HealthMcGill UniversityMontréalQCCanada
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13
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Li L, Yang W, Huang L, Feng X, Cheng H, Ge X, Zan G, Tan Y, Xiao L, Liu C, Chen X, Mo Z, Yang X. MR-PheWAS for the causal effects of serum magnesium on multiple disease outcomes in Caucasian descent. iScience 2021; 24:103191. [PMID: 34703991 PMCID: PMC8521184 DOI: 10.1016/j.isci.2021.103191] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/30/2021] [Revised: 08/11/2021] [Accepted: 09/27/2021] [Indexed: 01/01/2023] Open
Abstract
Magnesium is integral to many physiological processes, whereas variations in its levels, even within the normal range, can have critical implications for health. To explore the broad clinical effects of varying serum magnesium levels, we performed a two-sample Mendelian randomization and phenome-wide association study (MR-PheWAS) in the UK Biobank cohort. In total, MR-PheWAS analysis implicated a causal role of serum magnesium levels in five disease groups and six disease outcomes. In addition, our study indicated the gender-specific effects of nine disease groups/outcomes in MR estimated effects. The protein-protein interaction network demonstrated an interaction between the serum magnesium-associated gene DCDC1 and the cataract- associated gene PAX6. The present study verified several previously reported disease outcomes and identified novel potential disease outcomes for serum magnesium levels. The DCDC1 gene and the PAX6 gene may be the new targets for promoting the treatments of cataracts using magnesium intervention. MR-PheWAS implicates a causal role of serum Mg in 11 disease groups/outcomes Our study indicates gender-specific effects of 9 disease groups/outcomes Mg intervention may promote cataracts treatments through the DCDC1 and PAX6 genes
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Affiliation(s)
- Longman Li
- Center for Genomic and Personalized Medicine, Guangxi Key Laboratory for Genomic and Personalized Medicine, Guangxi Collaborative Innovation Center for Genomic and Personalized Medicine, Guangxi Medical University, Nanning 530021, Guangxi, China.,Department of Urology, Institute of Urology and Nephrology, The First Affiliated Hospital of Guangxi Medical University, Nanning 530021, Guangxi, China
| | - Wenjun Yang
- Center for Genomic and Personalized Medicine, Guangxi Key Laboratory for Genomic and Personalized Medicine, Guangxi Collaborative Innovation Center for Genomic and Personalized Medicine, Guangxi Medical University, Nanning 530021, Guangxi, China.,Guangxi Collaborative Innovation Center for Biomedicine (Guangxi-ASEAN Collaborative Innovation Center for Major Disease Prevention and Treatment), Guangxi Medical University, Nanning 530021, Guangxi, China.,Department of Occupational Health and Environmental Health, School of Public Health, Guangxi Medical University, Nanning 530021, Guangxi, China
| | - Lulu Huang
- Center for Genomic and Personalized Medicine, Guangxi Key Laboratory for Genomic and Personalized Medicine, Guangxi Collaborative Innovation Center for Genomic and Personalized Medicine, Guangxi Medical University, Nanning 530021, Guangxi, China.,Department of Radiotherapy, The First Affiliated Hospital of Guangxi Medical University, Nanning 530021, Guangxi, China
| | - Xiuming Feng
- Center for Genomic and Personalized Medicine, Guangxi Key Laboratory for Genomic and Personalized Medicine, Guangxi Collaborative Innovation Center for Genomic and Personalized Medicine, Guangxi Medical University, Nanning 530021, Guangxi, China.,Department of Occupational Health and Environmental Health, School of Public Health, Guangxi Medical University, Nanning 530021, Guangxi, China
| | - Hong Cheng
- Center for Genomic and Personalized Medicine, Guangxi Key Laboratory for Genomic and Personalized Medicine, Guangxi Collaborative Innovation Center for Genomic and Personalized Medicine, Guangxi Medical University, Nanning 530021, Guangxi, China.,Department of Occupational Health and Environmental Health, School of Public Health, Guangxi Medical University, Nanning 530021, Guangxi, China
| | - Xiaoting Ge
- Center for Genomic and Personalized Medicine, Guangxi Key Laboratory for Genomic and Personalized Medicine, Guangxi Collaborative Innovation Center for Genomic and Personalized Medicine, Guangxi Medical University, Nanning 530021, Guangxi, China.,Department of Occupational Health and Environmental Health, School of Public Health, Guangxi Medical University, Nanning 530021, Guangxi, China
| | - Gaohui Zan
- Center for Genomic and Personalized Medicine, Guangxi Key Laboratory for Genomic and Personalized Medicine, Guangxi Collaborative Innovation Center for Genomic and Personalized Medicine, Guangxi Medical University, Nanning 530021, Guangxi, China.,Department of Occupational Health and Environmental Health, School of Public Health, Guangxi Medical University, Nanning 530021, Guangxi, China
| | - Yanli Tan
- Center for Genomic and Personalized Medicine, Guangxi Key Laboratory for Genomic and Personalized Medicine, Guangxi Collaborative Innovation Center for Genomic and Personalized Medicine, Guangxi Medical University, Nanning 530021, Guangxi, China.,Department of Occupational Health and Environmental Health, School of Public Health, Guangxi Medical University, Nanning 530021, Guangxi, China
| | - Lili Xiao
- Department of Occupational Health and Environmental Health, School of Public Health, Guangxi Medical University, Nanning 530021, Guangxi, China
| | - Chaoqun Liu
- Department of Nutrition and Food Hygiene, School of Public Health, Guangxi Medical University, Nanning 530021, Guangxi, China
| | - Xing Chen
- School of Public Health, Guangxi Medical University, Nanning 530021, Guangxi, China
| | - Zengnan Mo
- Center for Genomic and Personalized Medicine, Guangxi Key Laboratory for Genomic and Personalized Medicine, Guangxi Collaborative Innovation Center for Genomic and Personalized Medicine, Guangxi Medical University, Nanning 530021, Guangxi, China.,Department of Urology, Institute of Urology and Nephrology, The First Affiliated Hospital of Guangxi Medical University, Nanning 530021, Guangxi, China
| | - Xiaobo Yang
- Center for Genomic and Personalized Medicine, Guangxi Key Laboratory for Genomic and Personalized Medicine, Guangxi Collaborative Innovation Center for Genomic and Personalized Medicine, Guangxi Medical University, Nanning 530021, Guangxi, China.,Department of Occupational Health and Environmental Health, School of Public Health, Guangxi Medical University, Nanning 530021, Guangxi, China.,Department of Public Health, School of Medicine, Guangxi University of Science and Technology, Liuzhou 545006, Guangxi, China
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14
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Guo JZ, Xiao Q, Gao S, Li XQ, Wu QJ, Gong TT. Review of Mendelian Randomization Studies on Ovarian Cancer. Front Oncol 2021; 11:681396. [PMID: 34458137 PMCID: PMC8385140 DOI: 10.3389/fonc.2021.681396] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/16/2021] [Accepted: 07/16/2021] [Indexed: 12/23/2022] Open
Abstract
Ovarian cancer (OC) is one of the deadliest gynecological cancers worldwide. Previous observational epidemiological studies have revealed associations between modifiable environmental risk factors and OC risk. However, these studies are prone to confounding, measurement error, and reverse causation, undermining robust causal inference. Mendelian randomization (MR) analysis has been established as a reliable method to investigate the causal relationship between risk factors and diseases using genetic variants to proxy modifiable exposures. Over recent years, MR analysis in OC research has received extensive attention, providing valuable insights into the etiology of OC as well as holding promise for identifying potential therapeutic interventions. This review provides a comprehensive overview of the key principles and assumptions of MR analysis. Published MR studies focusing on the causality between different risk factors and OC risk are summarized, along with comprehensive analysis of the method and its future applications. The results of MR studies on OC showed that higher BMI and height, earlier age at menarche, endometriosis, schizophrenia, and higher circulating β-carotene and circulating zinc levels are associated with an increased risk of OC. In contrast, polycystic ovary syndrome; vitiligo; higher circulating vitamin D, magnesium, and testosterone levels; and HMG-CoA reductase inhibition are associated with a reduced risk of OC. MR analysis presents a2 valuable approach to understanding the causality between different risk factors and OC after full consideration of its inherent assumptions and limitations.
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Affiliation(s)
- Jian-Zeng Guo
- Department of Clinical Epidemiology, Shengjing Hospital of China Medical University, Shenyang, China
- College of Life and Health Sciences, Northeastern University, Shenyang, China
| | - Qian Xiao
- Department of Clinical Epidemiology, Shengjing Hospital of China Medical University, Shenyang, China
- Clinical Research Center, Shengjing Hospital of China Medical University, Shenyang, China
- Department of Obstetrics and Gynecology, Shengjing Hospital of China Medical University, Shenyang, China
| | - Song Gao
- Department of Obstetrics and Gynecology, Shengjing Hospital of China Medical University, Shenyang, China
| | - Xiu-Qin Li
- Department of Obstetrics and Gynecology, Shengjing Hospital of China Medical University, Shenyang, China
| | - Qi-Jun Wu
- Department of Clinical Epidemiology, Shengjing Hospital of China Medical University, Shenyang, China
- Clinical Research Center, Shengjing Hospital of China Medical University, Shenyang, China
| | - Ting-Ting Gong
- Department of Obstetrics and Gynecology, Shengjing Hospital of China Medical University, Shenyang, China
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15
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Markowska A, Antoszczak M, Markowska J, Huczyński A. Role of Vitamin E in Selected Malignant Neoplasms in Women. Nutr Cancer 2021; 74:1163-1170. [PMID: 34278890 DOI: 10.1080/01635581.2021.1952626] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/28/2022]
Abstract
Vitamin E, which is actually a mixture of eight isoforms (four tocopherols and four tocotrienols), is a powerful antioxidant that protects polyunsaturated fatty acids against oxidation and has the ability to break the chain lipid peroxidation, which is used in the treatment of heart disease, atherosclerosis, muscle disorders or infertility among men. Studies in-vitro show that one of the effects of tocopherol is the reduction of cancer stem cell activity which is connected to poor clinical course. In the scientific literature, reports on the participation of vitamin E not only in protection against the mutagenic effects of reactive oxygen species, but also in its anti-angiogenic activity and the ability to inhibit the invasion and metastasis of neoplastic cells are increasingly common. In this context, the role of vitamin E in preventing the neoplastic process and selected malignant neoplasms among women seems to be of particular interest. In this article, we present the results of research on the potential anticancer effects of vitamin E in the fight against breast, cervical, endometrial and ovarian cancer.
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Affiliation(s)
- Anna Markowska
- Department of Perinatology and Women's Health, Poznań University of Medical Sciences, Poznań, Poland
| | - Michał Antoszczak
- Department of Medical Chemistry, Faculty of Chemistry, Adam Mickiewicz University, Poznań, Poland
| | - Janina Markowska
- Department of Oncology, Gynecological Oncology, Poznań University of Medical Sciences, Poznań, Poland
| | - Adam Huczyński
- Department of Medical Chemistry, Faculty of Chemistry, Adam Mickiewicz University, Poznań, Poland
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16
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Yuan S, Carter P, Vithayathil M, Kar S, Mason AM, Burgess S, Larsson SC. Genetically predicted circulating B vitamins in relation to digestive system cancers. Br J Cancer 2021; 124:1997-2003. [PMID: 33837300 PMCID: PMC8184856 DOI: 10.1038/s41416-021-01383-0] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/12/2021] [Revised: 03/22/2021] [Accepted: 03/26/2021] [Indexed: 02/02/2023] Open
Abstract
BACKGROUND Folate, vitamin B6 and vitamin B12 have been associated with digestive system cancers. We conducted a two-sample Mendelian randomisation study to assess the causality of these associations. METHODS Two, one and 14 independent single nucleotide polymorphisms associated with serum folate, vitamin B6 and vitamin B12 at the genome-wide significance threshold were selected as genetic instruments. Summary-level data for the associations of the vitamin-associated genetic variants with cancer were obtained from the UK Biobank study including 367,561 individuals and FinnGen consortium comprising up to 176,899 participants. RESULTS Genetically predicted folate and vitamin B6 concentrations were not associated with overall cancer, overall digestive system cancer or oesophageal, gastric, colorectal or pancreatic cancer. Genetically predicted vitamin B12 concentrations were positively associated with overall digestive system cancer (ORSD, 1.12; 95% CI 1.04, 1.21, p = 0.003) and colorectal cancer (ORSD 1.16; 95% CI 1.06, 1.26, p = 0.001) in UK Biobank. Results for colorectal cancer were consistent in FinnGen and the combined ORSD was 1.16 (95% CI 1.08, 1.25, p < 0.001). There was no association of genetically predicted vitamin B12 with any other site-specific digestive system cancers or overall cancer. CONCLUSIONS These results provide evidence to suggest that elevated serum vitamin B12 concentrations are associated with colorectal cancer.
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Affiliation(s)
- Shuai Yuan
- grid.4714.60000 0004 1937 0626Unit of Cardiovascular and Nutritional Epidemiology, Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden
| | - Paul Carter
- grid.5335.00000000121885934Department of Medicine, University of Cambridge, Cambridge, UK
| | - Mathew Vithayathil
- grid.5335.00000000121885934MRC Cancer Unit, University of Cambridge, Cambridge, UK
| | - Siddhartha Kar
- grid.5337.20000 0004 1936 7603MRC Integrative Epidemiology Unit, Bristol Medical School, University of Bristol, Bristol, UK
| | - Amy M. Mason
- grid.5335.00000000121885934British Heart Foundation Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK ,grid.5335.00000000121885934National Institute for Health Research Cambridge Biomedical Research Centre, University of Cambridge and Cambridge University Hospitals, Cambridge, UK
| | - Stephen Burgess
- grid.5335.00000000121885934MRC Biostatistics Unit, University of Cambridge, Cambridge, UK ,grid.5335.00000000121885934Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
| | - Susanna C. Larsson
- grid.4714.60000 0004 1937 0626Unit of Cardiovascular and Nutritional Epidemiology, Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden ,grid.8993.b0000 0004 1936 9457Unit of Medical Epidemiology, Department of Surgical Sciences, Uppsala University, Uppsala, Sweden
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17
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Abstract
PURPOSE OF REVIEW The current review describes the fundamentals of the Mendelian randomization framework and its current application for causal inference in human nutrition and metabolism. RECENT FINDINGS In the Mendelian randomization framework, genetic variants that are strongly associated with the potential risk factor are used as instrumental variables to determine whether the risk factor is a cause of the disease. Mendelian randomization studies are less susceptible to confounding and reverse causality compared with traditional observational studies. The Mendelian randomization study design has been increasingly used in recent years to appraise the causal associations of various nutritional factors, such as milk and alcohol intake, circulating levels of micronutrients and metabolites, and obesity with risk of different health outcomes. Mendelian randomization studies have confirmed some but challenged other nutrition-disease associations recognized by traditional observational studies. Yet, the causal role of many nutritional factors and intermediate metabolic changes for health and disease remains unresolved. SUMMARY Mendelian randomization can be used as a tool to improve causal inference in observational studies assessing the role of nutritional factors and metabolites in health and disease. There is a need for more large-scale genome-wide association studies to identify more genetic variants for nutritional factors that can be utilized for Mendelian randomization analyses.
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Affiliation(s)
- Susanna C Larsson
- Unit of Medical Epidemiology, Department of Surgical Sciences, Uppsala University, Uppsala
- Unit of Cardiovascular and Nutritional Epidemiology, Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden
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18
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Woźniak M, Krajewski R, Makuch S, Agrawal S. Phytochemicals in Gynecological Cancer Prevention. Int J Mol Sci 2021; 22:1219. [PMID: 33530651 PMCID: PMC7865323 DOI: 10.3390/ijms22031219] [Citation(s) in RCA: 16] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/12/2020] [Revised: 01/22/2021] [Accepted: 01/25/2021] [Indexed: 12/25/2022] Open
Abstract
Gynecological cancer confers an enormous burden among women worldwide. Accumulating evidence points to the role of phytochemicals in preventing cervical, endometrial, and ovarian cancer. Experimental studies emphasize the chemopreventive and therapeutic potential of plant-derived substances by inhibiting the early stages of carcinogenesis or improving the efficacy of traditional chemotherapeutic agents. Moreover, a number of epidemiological studies have investigated associations between a plant-based diet and cancer risk. This literature review summarizes the current knowledge on the phytochemicals with proven antitumor activity, emphasizing their effectiveness and mechanism of action in gynecological cancer.
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Affiliation(s)
- Marta Woźniak
- Department of Pathology, Wroclaw Medical University, 50-368 Wroclaw, Poland; (M.W.); (S.M.)
| | - Rafał Krajewski
- Department and Clinic of Internal Medicine, Occupational Diseases, Hypertension and Clinical Oncology, Wroclaw Medical University, 50-556 Wroclaw, Poland;
| | - Sebastian Makuch
- Department of Pathology, Wroclaw Medical University, 50-368 Wroclaw, Poland; (M.W.); (S.M.)
| | - Siddarth Agrawal
- Department of Pathology, Wroclaw Medical University, 50-368 Wroclaw, Poland; (M.W.); (S.M.)
- Department and Clinic of Internal Medicine, Occupational Diseases, Hypertension and Clinical Oncology, Wroclaw Medical University, 50-556 Wroclaw, Poland;
- Department of Cancer Prevention and Therapy, Wroclaw Medical University, 50-556 Wroclaw, Poland
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