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Liu J, Hong S, Yang J, Zhang X, Wang Y, Wang H, Peng J, Hong L. Targeting purine metabolism in ovarian cancer. J Ovarian Res 2022; 15:93. [PMID: 35964092 PMCID: PMC9375293 DOI: 10.1186/s13048-022-01022-z] [Citation(s) in RCA: 20] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/10/2022] [Accepted: 07/17/2022] [Indexed: 11/10/2022] Open
Abstract
Purine, an abundant substrate in organisms, is a critical raw material for cell proliferation and an important factor for immune regulation. The purine de novo pathway and salvage pathway are tightly regulated by multiple enzymes, and dysfunction in these enzymes leads to excessive cell proliferation and immune imbalance that result in tumor progression. Maintaining the homeostasis of purine pools is an effective way to control cell growth and tumor evolution, and exploiting purine metabolism to suppress tumors suggests interesting directions for future research. In this review, we describe the process of purine metabolism and summarize the role and potential therapeutic effects of the major purine-metabolizing enzymes in ovarian cancer, including CD39, CD73, adenosine deaminase, adenylate kinase, hypoxanthine guanine phosphoribosyltransferase, inosine monophosphate dehydrogenase, purine nucleoside phosphorylase, dihydrofolate reductase and 5,10-methylenetetrahydrofolate reductase. Purinergic signaling is also described. We then provide an overview of the application of purine antimetabolites, comprising 6-thioguanine, 6-mercaptopurine, methotrexate, fludarabine and clopidogrel. Finally, we discuss the current challenges and future opportunities for targeting purine metabolism in the treatment-relevant cellular mechanisms of ovarian cancer.
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Affiliation(s)
- Jingchun Liu
- Department of Obstetrics and Gynecology, Renmin Hospital of Wuhan University, Wuhan, China
| | - Shasha Hong
- Department of Obstetrics and Gynecology, Renmin Hospital of Wuhan University, Wuhan, China
| | - Jiang Yang
- Department of Obstetrics and Gynecology, Renmin Hospital of Wuhan University, Wuhan, China
| | - Xiaoyi Zhang
- Department of Obstetrics and Gynecology, Renmin Hospital of Wuhan University, Wuhan, China
| | - Ying Wang
- Department of Obstetrics and Gynecology, Renmin Hospital of Wuhan University, Wuhan, China
| | - Haoyu Wang
- Department of Obstetrics and Gynecology, Renmin Hospital of Wuhan University, Wuhan, China
| | - Jiaxin Peng
- Department of Obstetrics and Gynecology, Renmin Hospital of Wuhan University, Wuhan, China
| | - Li Hong
- Department of Obstetrics and Gynecology, Renmin Hospital of Wuhan University, Wuhan, China.
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Hu J, Xu Z, Ye Z, Li J, Hao Z, Wang Y. The association between single nucleotide polymorphisms and ovarian cancer risk: A systematic review and network meta-analysis. Cancer Med 2022; 12:541-556. [PMID: 35637613 PMCID: PMC9844622 DOI: 10.1002/cam4.4891] [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: 03/29/2022] [Revised: 05/10/2022] [Accepted: 05/16/2022] [Indexed: 01/26/2023] Open
Abstract
BACKGROUND The relationship between single nucleotide polymorphisms (SNPs) and ovarian cancer (OC) risk remains controversial. This systematic review and network meta-analysis was aimed to determine the association between SNPs and OC risk. METHODS Several databases (PubMed, EMBASE, China National Knowledge Infrastructure, Wanfang databases, China Science and Technology Journal Database, and China Biology Medicine disc) were searched to summarize the association between SNPs and OC published throughout April 2021. Direct meta-analysis was used to identify SNPs that could predict the incidence of OC. Ranking probability resulting from network meta-analysis and the Thakkinstian's algorithm was used to select the most appropriate gene model. The false positive report probability (FPRP) and Venice criteria were further tested for credible relationships. Subgroup analysis was also carried out to explore whether there are racial differences. RESULTS A total of 63 genes and 92 SNPs were included in our study after careful consideration. Fok1 rs2228570 is likely a dominant risk factor for the development of OC compared to other selected genes. The dominant gene model of Fok1 rs2228570 (pooled OR = 1.158, 95% CI: 1.068-1.256) was determined to be the most suitable model with a FPRP <0.2 and moderate credibility. CONCLUSIONS Fok1 rs2228570 is closely linked to OC risk, and the dominant gene model is likely the most appropriate model for estimating OC susceptibility.
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Affiliation(s)
- Jia Hu
- Department of GastroenterologyThe Second Xiangya Hospital, Central South UniversityChangshaChina,Research Center of Digestive DiseaseThe Second Xiangya Hospital, Central South UniversityChangshaChina
| | - Zhe Xu
- Department of Pharmacy, Xiangya HospitalCentral South UniversityChangshaChina
| | - Zhuomiao Ye
- Department of Oncology, Xiangya HospitalCentral South UniversityChangshaChina
| | - Jin Li
- Xiangya School of MedicineCentral South UniversityChangshaChina
| | - Zhinan Hao
- Department of Gastrointestinal SurgeryHebei General HospitalShijiazhuangChina
| | - Yongjun Wang
- Department of GastroenterologyThe Second Xiangya Hospital, Central South UniversityChangshaChina,Research Center of Digestive DiseaseThe Second Xiangya Hospital, Central South UniversityChangshaChina
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Methylenetetrahydrofolate reductase gene polymorphisms in the risk of polycystic ovary syndrome and ovarian cancer. Biosci Rep 2021; 40:225735. [PMID: 32639550 PMCID: PMC7369393 DOI: 10.1042/bsr20200995] [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: 04/07/2020] [Revised: 06/23/2020] [Accepted: 07/08/2020] [Indexed: 12/15/2022] Open
Abstract
Polymorphisms of methylenetetrahydrofolate reductase (MTHFR) in hormone metabolism pathways might cause metabolic disturbances and contribute to the development of polycystic ovary syndrome (PCOS) and ovarian cancer, but the published studies were inconsistent. The aim of the present study was to evaluate the MTHFR C677T (rs1801133) and A1298C (rs1801131) gene polymorphisms in the risk of PCOS and ovarian cancer by meta-analysis. A comprehensive electronic search was conducted in databases for studies published from 1995 to 2020. The pooled ORs were calculated by Revman 5.2 software. Twenty-nine articles including 45 case–control studies were included. We found that MTHFR C677T polymorphisms were correlated with elevated PCOS risk (TT vs. CT+CC: OR = 1.41, 95%CI = 1.20–1.67; TT+CT vs. CC: OR = 1.54, 95%CI = 1.07–2.22; CT vs. CC+TT: OR = 1.18, 95%CI 1.04–1.33; TT vs. CC: OR = 1.47, 95%CI = 1.03–2.11; T vs. C: OR = 1.25, 95%CI = 1.06–1.47), which were more obvious in Middle Eastern subgroup. MTHFR A1298C polymorphisms were also associated with overall PCOS susceptibility (CC vs. AC+AA: OR = 2.55, 95% CI = 1.61–4.03; CC+AC vs. AA: OR = 1.84, 95%CI = 1.04–3.28; CC vs. AA: OR = 2.66, 95%CI = 1.68–4.22; C vs. A: OR = 1.67, 95%CI = 1.03–2.71), which were mainly reflected in Asian subjects. For ovarian cancer, MTHFR C677T polymorphisms were only related with elevated ovarian cancer risk in Asian population, while no significant association was found for A1298C polymorphisms. This meta-analysis suggested that MTHFR C677T and MTHFR A1298C polymorphisms were correlated with elevated PCOS risk. MTHFR C667T only posed a higher risk for ovarian cancer in Asians instead of other populations, while MTHFR A1298C polymorphisms were not related to ovarian cancer risk. Further studies are needed to validate the conclusion.
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Karimi-Zarchi M, Moghimi M, Abbasi H, Hadadan A, Salimi E, Morovati-Sharifabad M, Akbarian-Bafghi MJ, Zare-Shehneh M, Mosavi-Jarrahi A, Neamatzadeh H. Association of MTHFR 677C>T Polymorphism with Susceptibility to Ovarian and Cervical Cancers: A Systematic Review and Meta-Analysis. Asian Pac J Cancer Prev 2019; 20:2569-2577. [PMID: 31554347 PMCID: PMC6976840 DOI: 10.31557/apjcp.2019.20.9.2569] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/08/2018] [Indexed: 12/14/2022] Open
Abstract
Background: Previous studies have evaluated the impact of MTHFR 677C>T polymorphism on susceptibility to ovarian and cervical cancers in women, but the conclusions are still controversial. To get a more precise evaluation of the association between MTHFR 677C>T polymorphism and risk of ovarian and cervical cancers, we performed a meta-analysis of the association of all eligible studies. Methods: A comprehensive search performed in PubMed, Google Scholar, CNKI, and Web of Science databases to identify the relevant studies up to October 15, 2018. The strength of the association was estimated by odds ratios (OR) with 95% confidence interval (CI). Results: A total of 27 case-control studies including eleven studies with 4990 cases 7730 controls on ovarian cancer and 16 studies with 4990 cases and 7730 controls on cervical cancer were selected. Pooled data revealed that the MTHFR 677C>T polymorphism not significantly associated with an increased risk of ovarian and cervical cancers under all five genetic models. However, stratified analysis by ethnicity showed that the MTHFR 677C>T polymorphism was significantly associated with risk of ovarian cancer in Asians. No publication bias was found in the current meta-analysis. Conclusions: The results of this meta-analysis proposes that the MTHFR 677C>T polymorphism may not play a role in development of ovarian and cervical cancers in overall population. Further well-designed studies are necessary to clarify the precise role of the MTHFR 677C>T polymorphism on ovarian and cervical cancers risk.
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Affiliation(s)
- Mojgan Karimi-Zarchi
- Department of Gynecology and Obstetrics, Iran University of Medical Sciences, Tehran, Iran
| | - Mansour Moghimi
- Department of Pathology, Shahid Sadoughi University of Medical Sciences, Yazd, Iran.
| | - Hajar Abbasi
- Department of Gynecology and Obstetrics, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Amaneh Hadadan
- Department of Gynecology and Obstetrics, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Erfaneh Salimi
- Department of Gynecology and Obstetrics, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | | | | | - Masoud Zare-Shehneh
- Department of Medical Genetics, Shahid Sadoughi University of Medical Sciences, Yazd, Iran
| | - Alireza Mosavi-Jarrahi
- Department of Social Medicine, Medical School, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Hossein Neamatzadeh
- Department of Medical Genetics, Shahid Sadoughi University of Medical Sciences, Yazd, Iran.,Mother and Newborn Health Research Center, Shahid Sadoughi University of Medical Sciences, Yazd, Iran
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Ugai T, Kelemen LE, Mizuno M, Ong J, Webb PM, Chenevix‐Trench G, Wicklund KG, Doherty JA, Rossing MA, Thompson PJ, Wilkens LR, Carney ME, Goodman MT, Schildkraut JM, Berchuck A, Cramer DW, Terry KL, Cai H, Shu X, Gao Y, Xiang Y, Van Den Berg D, Pike MC, Wu AH, Pearce CL, Matsuo K. Ovarian cancer risk, ALDH2 polymorphism and alcohol drinking: Asian data from the Ovarian Cancer Association Consortium. Cancer Sci 2018; 109:435-445. [PMID: 29247577 PMCID: PMC5797830 DOI: 10.1111/cas.13470] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/22/2017] [Revised: 12/07/2017] [Accepted: 12/12/2017] [Indexed: 12/11/2022] Open
Abstract
The aldehyde dehydrogenase 2 (ALDH2) polymorphism rs671 (Glu504Lys) causes ALDH2 inactivation and adverse acetaldehyde exposure among Asians, but little is known of the association between alcohol consumption and rs671 and ovarian cancer (OvCa) in Asians. We conducted a pooled analysis of Asian ancestry participants in the Ovarian Cancer Association Consortium. We included seven case-control studies and one cohort study comprising 460 invasive OvCa cases, 37 borderline mucinous OvCa and 1274 controls of Asian descent with information on recent alcohol consumption. Pooled odds ratios (OR) with 95% confidence intervals (CI) for OvCa risk associated with alcohol consumption, rs671 and their interaction were estimated using logistic regression models adjusted for potential confounders. No significant association was observed for daily alcohol intake with invasive OvCa (OR comparing any consumption to none = 0.83; 95% CI = 0.58-1.18) or with individual histotypes. A significant decreased risk was seen for carriers of one or both Lys alleles of rs671 for invasive mucinous OvCa (OR = 0.44; 95% CI = 0.20-0.97) and for invasive and borderline mucinous tumors combined (OR = 0.48; 95% CI = 0.26-0.89). No significant interaction was observed between alcohol consumption and rs671 genotypes. In conclusion, self-reported alcohol consumption at the quantities estimated was not associated with OvCa risk among Asians. Because the rs671 Lys allele causes ALDH2 inactivation leading to increased acetaldehyde exposure, the observed inverse genetic association with mucinous ovarian cancer is inferred to mean that alcohol intake may be a risk factor for this histotype. This association will require replication in a larger sample.
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Affiliation(s)
- Tomotaka Ugai
- Division of Molecular and Clinical EpidemiologyAichi Cancer Center Research InstituteNagoyaJapan
- Division of HematologySaitama Medical CenterJichi Medical UniversitySaitamaJapan
| | - Linda E. Kelemen
- Department of Public Health SciencesCollege of Medicine and Hollings Cancer CenterMedical University of South CarolinaCharlestonUSA
| | - Mika Mizuno
- Department of Gynecologic OncologyAichi Cancer Center HospitalNagoyaJapan
| | - Jue‐Sheng Ong
- Genetics and Computational Biology DepartmentQIMR Berghofer Medical Research InstituteBrisbaneAustralia
| | - Penelope M. Webb
- Population Health DepartmentQIMR Berghofer Medical Research InstituteBrisbaneAustralia
| | - Georgia Chenevix‐Trench
- Genetics and Computational Biology DepartmentQIMR Berghofer Medical Research InstituteBrisbaneAustralia
| | | | - Kristine G. Wicklund
- Program in EpidemiologyDivision of Public Health SciencesFred Hutchinson Cancer Research CenterSeattleUSA
| | - Jennifer Anne Doherty
- Huntsman Cancer InstitutePopulation Health SciencesUniversity of UtahSalt Lake CityUSA
| | - Mary Anne Rossing
- Program in EpidemiologyDivision of Public Health SciencesFred Hutchinson Cancer Research CenterSeattleUSA
- Department of EpidemiologyUniversity of WashingtonSeattleUSA
| | - Pamela J. Thompson
- Cancer Prevention and ControlSamuel Oschin Comprehensive Cancer InstituteCedars‐Sinai Medical CenterLos AngelesUSA
| | - Lynne R. Wilkens
- Cancer Epidemiology ProgramUniversity of Hawaii Cancer CenterHonoluluUSA
| | - Michael E. Carney
- Department of Obstetrics and GynecologyJohn A. Burns School of MedicineUniversity of HawaiiHonoluluUSA
| | - Marc T. Goodman
- Cancer Prevention and ControlSamuel Oschin Comprehensive Cancer InstituteCedars‐Sinai Medical CenterLos AngelesUSA
- Community and Population Health Research InstituteDepartment of Biomedical SciencesCedars‐Sinai Medical CenterLos AngelesUSA
| | | | - Andrew Berchuck
- Department of Obstetrics and GynecologyDuke University Medical CenterDurhamUSA
| | - Daniel W. Cramer
- Obstetrics and Gynecology Epidemiology CenterBrigham and Women's HospitalBostonUSA
- Harvard T. H. Chan School of Public HealthBostonUSA
| | - Kathryn L. Terry
- Obstetrics and Gynecology Epidemiology CenterBrigham and Women's HospitalBostonUSA
- Harvard T. H. Chan School of Public HealthBostonUSA
| | - Hui Cai
- Vanderbilt Epidemiology CenterVanderbilt University School of MedicineNashvilleUSA
| | - Xiao‐Ou Shu
- Vanderbilt Epidemiology CenterVanderbilt University School of MedicineNashvilleUSA
| | - Yu‐Tang Gao
- Department of EpidemiologyShanghai Cancer InstituteRenji HospitalShanghai Jiaotong University School of MedicineShanghaiChina
| | - Yong‐Bing Xiang
- SKLORG & Department of EpidemiologyShanghai Cancer InstituteShanghaiChina
| | - David Van Den Berg
- Department of Preventive MedicineKeck School of MedicineUniversity of Southern California Norris Comprehensive Cancer CenterLos AngelesUSA
| | - Malcom C Pike
- Department of Preventive MedicineKeck School of MedicineUniversity of Southern California Norris Comprehensive Cancer CenterLos AngelesUSA
- Department of Epidemiology and BiostatisticsMemorial Sloan‐Kettering Cancer CenterNYUSA
| | - Anna H. Wu
- Department of Preventive MedicineKeck School of MedicineUniversity of Southern California Norris Comprehensive Cancer CenterLos AngelesUSA
| | - Celeste Leigh Pearce
- Department of Preventive MedicineKeck School of MedicineUniversity of Southern California Norris Comprehensive Cancer CenterLos AngelesUSA
- Department of EpidemiologyUniversity of Michigan School of Public HealthAnn ArborUSA
| | - Keitaro Matsuo
- Division of Molecular and Clinical EpidemiologyAichi Cancer Center Research InstituteNagoyaJapan
- Department of EpidemiologyNagoya University Graduate School of MedicineNagoyaJapan
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He L, Shen Y. MTHFR C677T polymorphism and breast, ovarian cancer risk: a meta-analysis of 19,260 patients and 26,364 controls. Onco Targets Ther 2017; 10:227-238. [PMID: 28123304 PMCID: PMC5229257 DOI: 10.2147/ott.s121472] [Citation(s) in RCA: 26] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/26/2022] Open
Abstract
Objective Previous studies have found that many gene variations can be detected in both breast cancer and ovarian cancer, which is beneficial for the elaboration of the molecular origin of breast and ovarian cancer. Furthermore, many studies have explored the association of methylenetetrahydrofolate reductase (MTHFR) C677T polymorphism with the risk of breast cancer and/or ovarian cancer; however, the results remained inconclusive. Therefore, this study conducted a systematic review and meta-analysis to evaluate the association between MTHFR C677T polymorphism and the risk of breast and ovarian cancer. Materials and methods A total of 50 studies with 19,260 cases and 26,364 controls including 39 studies for breast cancer and 8 studies for ovarian cancer were identified on searching through PubMed, Embase, Web of Science, China National Knowledge Infrastructure, WanFang, and Database of Chinese Scientific and Technical Periodicals (VIP). Allele model, dominant model, recessive model, homozygous model, and co-dominant model were applied to evaluate the association of MTHFR C677T polymorphism with breast cancer and/or ovarian cancer risk. Moreover, the odds ratios (ORs) with 95% confidence intervals (CIs) were calculated to assess the strength of the association between MTHFR C677T polymorphism and breast and ovarian cancer risk. Results A significantly increased breast cancer risk was observed in the overall analysis (for C vs T, OR =1.19, CI: 1.12–1.28, P<0.05; for CC vs TT, OR =1.20, CI: 1.10–1.23, P<0.05; for (CT+CC) vs TT, OR =1.19, CI: 1.11–1.27, P<0.05; for CC vs (CT+TT), OR =1.19, CI: 1.79–1.95, P<0.05), while no significantly increased ovarian cancer risk was detected. In the subgroup analysis based on ethnicity, a significant association of breast cancer and/or ovarian cancer risk with MTHFR C677T polymorphism was observed in Asians. Interestingly, there was no significant association between MTHFR C677T polymorphism and ovarian cancer risk in Caucasians, whereas a significantly increased risk of breast cancer was found in Caucasians. Conclusion This meta-analysis demonstrates that MTHFR C677T polymorphism may be a risk factor for breast and ovarian cancer, especially in Asians.
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Affiliation(s)
- Lilin He
- Department of Oncology, The First People's Hospital of Tianmen City, Tianmen, Hubei Province, People's Republic of China
| | - Yongxiang Shen
- Department of Oncology, The First People's Hospital of Tianmen City, Tianmen, Hubei Province, People's Republic of China
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Liu W, Li Y, Li R, Han X, Ma Y, Liu B, Kong X. ASSOCIATION OF MTHFR A1298C POLYMORPHISM WITH BREAST CANCER AND/OR OVARIAN CANCER RISK: AN UPDATED META-ANALYSIS. AFRICAN JOURNAL OF TRADITIONAL, COMPLEMENTARY, AND ALTERNATIVE MEDICINES : AJTCAM 2016; 13:72-86. [PMID: 28487897 PMCID: PMC5416649 DOI: 10.21010/ajtcam.v13i5.11] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 12/28/2022]
Abstract
BACKGROUND Recent years have witnessed the discovery of similar gene variations between breast cancer and ovarian cancer, inherited breast and ovarian cancer in particular. A large number of case-control studies have been conducted to explore the association of Methylenetetrahydrofolate Reductase (MTHFR) A1298C polymorphism with breast cancer and/or ovarian cancer risk. However, the results are still inconsistent and inconclusive. Consequently, we performed a meta-analysis to evaluate the association between MTHFR A1298C polymorphism and breast, ovarian cancer risk. MATERIALS AND METHODS A comprehensive retrieval was conducted in the electronic database of PubMed, Web of Science and Chinese National Knowledge Infrastructure (CNKI) until June 2015 to identify eligible studies. A total of 35 studies which examined the association of MTHFR A1298C polymorphism with breast cancer and/or ovarian cancer were identified. The pooled odds ratios (ORs) with 95 % confidence intervals (CIs) were used to assess the effect of gene polymorphism. And allele model, homozygous model, co-dominant model, dominant model, recessive model were applied. RESULT In the overall analysis, significantly increased breast cancer and/or ovarian cancer risk was found (for allele model A VS C OR = 1.05, CI: 1.02-1.08, P = 4χ10-3; for homozygous model AA VS CC OR = 1.11, CI: 1.03-1.19, P = 5χ10-3; for recessive model (AC +AA) VS CC: OR = 1.10, CI: 1.03-1.18, P = 7χ10-3). CONCLUSION In the subgroup analysis, significantly increased breast cancer risk was identified among Caucasians. MTHFR A1298C polymorphism might contribute to an increased risk of breast cancer and/or ovarian cancer susceptibility. In addition, MTHFR A1298C polymorphism had a significant association with breast cancer in Caucasians.
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Affiliation(s)
- Wei Liu
- The School of Nuclear Science and Technology Lanzhou University, School/Hospital of Stomatology Lanzhou University, Lanzhou City 730000, Gansu Province, China
| | - Yi Li
- The co-first author, School of Basic Medical Sciences, Lanzhou University, Lanzhou City 730000, Gansu Province, China
| | - Rui Li
- Lanzhou University School of Stomatology, Lanzhou City 730000, Gansu Province, China
| | - Xiao Han
- Gansu University of Traditional Chinese Medicine, Lanzhou City 730000, Gansu Province, China
| | - Ying Ma
- School of Basic Medical Sciences, Lanzhou University, Lanzhou City 730000, Gansu Province, China
| | - Bin Liu
- The second corresponding author, the School of Nuclear Science and Technology Lanzhou University, School/hospital of Stomatology Lanzhou University, Lanzhou City 730000, Gansu Province, China
| | - Xiangzhen Kong
- The first corresponding author, Research Department, Qinghai University Affiliated Hospital, Xining City 810000, Qinghai
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Zinck JWR, MacFarlane AJ. Approaches for the identification of genetic modifiers of nutrient dependent phenotypes: examples from folate. Front Nutr 2014; 1:8. [PMID: 25988111 PMCID: PMC4428393 DOI: 10.3389/fnut.2014.00008] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/02/2014] [Accepted: 06/25/2014] [Indexed: 01/14/2023] Open
Abstract
By combining the sciences of nutrition, bioinformatics, genomics, population genetics, and epidemiology, nutrigenomics is improving our understanding of how diet and nutrient intake can interact with or modify gene expression and disease risk. In this review, we explore various approaches to examine gene–nutrient interactions and the modifying role of nutrient consumption, as they relate to nutrient status and disease risk in human populations. Two common approaches include the use of SNPs in candidate genes to identify their association with nutritional status or disease outcomes, or genome-wide association studies to identify genetic polymorphisms associated with a given phenotype. Here, we examine the results of various gene–nutrient interaction studies, the association of genetic polymorphisms with disease expression, and the identification of nutritional factors that modify gene-dependent disease phenotypes. We have focused on specific examples from investigations of the interactions of folate, B-vitamin consumption, and polymorphisms in the genes of B-vitamin dependent enzymes and their association with disease risk, followed by an examination of the strengths and limitations of the methods employed. We also present suggestions for future studies, including an approach from an on-going large scale study, to examine the interaction of nutrient intake and genotypic variation and their impact on nutritional status.
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Affiliation(s)
- John W R Zinck
- Science Integration Division, Public Health Agency of Canada , Ottawa, ON , Canada
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9
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Genetic polymorphisms of methylenetetrahydrofolate reductase (MTHFR) gene Ala222Val and susceptibility to ovary cancer: a systematic review and meta-analysis. Tumour Biol 2013; 35:2133-9. [DOI: 10.1007/s13277-013-1283-0] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/26/2013] [Accepted: 09/27/2013] [Indexed: 10/26/2022] Open
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Li C, Chen P, Hu P, Li M, Li X, Guo H, Li J, Chu R, Zhang W, Wang H. Folate intake and MTHFR polymorphism C677T is not associated with ovarian cancer risk: evidence from the meta-analysis. Mol Biol Rep 2013; 40:6547-60. [PMID: 24129496 DOI: 10.1007/s11033-013-2686-0] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/04/2013] [Accepted: 09/14/2013] [Indexed: 12/31/2022]
Abstract
Folate is essential for DNA synthesis and methylation and implicated in the process of carcinogenesis. Several studies inconclusively suggested increased folate intake may reduce ovarian cancer risk. Studies concerning the association between C677T polymorphism in methylenetetrahydrofolate reductase (MTHFR), an important enzyme in folate metabolism, and ovarian cancer risk also resulted in no agreement. The meta-analysis was conducted based on current studies to assess the association between folate intake, the MTHFR C667T polymorphism and ovarian cancer risk. 1,158 cases out of 217,309 participants from four cohort studies, 4,519 cases and 6,031 controls from four case-control studies about folate intake along with 5,617 cases and 9,808 controls from 10 publications concerning the polymorphism were pooled, respectively. We detected no significant association between total folate (RR = 1.04, 95 % confidence interval (CI) = 0.87-1.23) or dietary folate (RR = 0.88, 95 % CI = 0.75-1.05) intake and ovarian cancer risk, and also no significant relationship was found between MTHFR C677T polymorphism and ovarian cancer risk (TT vs. CC: odds ratio (OR) = 1.15, 95 % CI = 0.90-1.46; CT vs. CC: OR = 1.04, 95 % CI = 0.94-1.16). Our analysis indicated neither folate intake nor MTHFR C677T polymorphism is related to altered susceptibility of ovarian cancer.
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Affiliation(s)
- Chenglin Li
- Key Laboratory of Food Safety Research, Institute for Nutritional Sciences, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, University of Chinese Academy of Sciences, Shanghai, 200031, China
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Sieh W, Salvador S, McGuire V, Weber RP, Terry KL, Rossing MA, Risch H, Wu AH, Webb PM, Moysich K, Doherty JA, Felberg A, Miller D, Jordan SJ, Goodman MT, Lurie G, Chang-Claude J, Rudolph A, Kjær SK, Jensen A, Høgdall E, Bandera EV, Olson SH, King MG, Rodriguez-Rodriguez L, Kiemeney LA, Marees T, Massuger LF, van Altena AM, Ness RB, Cramer DW, Pike MC, Pearce CL, Berchuck A, Schildkraut JM, Whittemore AS. Tubal ligation and risk of ovarian cancer subtypes: a pooled analysis of case-control studies. Int J Epidemiol 2013; 42:579-89. [PMID: 23569193 PMCID: PMC3619957 DOI: 10.1093/ije/dyt042] [Citation(s) in RCA: 125] [Impact Index Per Article: 11.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 02/22/2013] [Indexed: 01/03/2023] Open
Abstract
BACKGROUND Tubal ligation is a protective factor for ovarian cancer, but it is unknown whether this protection extends to all invasive histological subtypes or borderline tumors. We undertook an international collaborative study to examine the association between tubal ligation and ovarian cancer subtypes. METHODS We pooled primary data from 13 population-based case-control studies, including 10,157 patients with ovarian cancer (7942 invasive; 2215 borderline) and 13,904 control women. Invasive cases were analysed by histological type, grade and stage, and borderline cases were analysed by histological type. Pooled odds ratios were estimated using conditional logistic regression to match on site, race/ethnicity and age categories, and to adjust for age, oral contraceptive use duration and number of full-term births. RESULTS Tubal ligation was associated with significantly reduced risks of invasive serous (OR, 0.81; 95% CI, 0.74-0.89; P < 0.001), endometrioid (OR, 0.48; 95% CI, 0.40-0.59; P < 0.001), clear cell (OR, 0.52; 95% CI, 0.40-0.67; P < 0.001) and mucinous (OR, 0.68; 95% CI, 0.52-0.89; P = 0.005) cancers. The magnitude of risk reduction was significantly greater for invasive endometrioid (P < 0.0001) and clear cell (P = 0.0018) than for serous cancer. No significant associations were found with borderline serous or mucinous tumours. CONCLUSIONS We found that the protective effects of tubal ligation on ovarian cancer risk were subtype-specific. These findings provide insights into distinct aetiologies of ovarian cancer subtypes and mechanisms underlying the protective effects of tubal ligation.
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Affiliation(s)
- Weiva Sieh
- Department of Health Research and Policy, Stanford University, Stanford, CA 94305-5405, USA.
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12
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Kelemen LE, Bandera EV, Terry KL, Rossing MA, Brinton LA, Doherty JA, Ness RB, Kjaer SK, Chang-Claude J, Köbel M, Lurie G, Thompson PJ, Carney ME, Moysich K, Edwards R, Bunker C, Jensen A, Høgdall E, Cramer DW, Vitonis AF, Olson SH, King M, Chandran U, Lissowska J, Garcia-Closas M, Yang H, Webb PM, Schildkraut JM, Goodman MT, Risch HA. Recent alcohol consumption and risk of incident ovarian carcinoma: a pooled analysis of 5,342 cases and 10,358 controls from the Ovarian Cancer Association Consortium. BMC Cancer 2013; 13:28. [PMID: 23339562 PMCID: PMC3568733 DOI: 10.1186/1471-2407-13-28] [Citation(s) in RCA: 23] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/01/2012] [Accepted: 01/17/2013] [Indexed: 12/20/2022] Open
Abstract
BACKGROUND Studies evaluating the association between alcohol intake and ovarian carcinoma (OC) are inconsistent. Because OC and ovarian borderline tumor histologic types differ genetically, molecularly and clinically, large numbers are needed to estimate risk associations. METHODS We pooled data from 12 case-control studies in the Ovarian Cancer Association Consortium comprising 5,342 OC cases, 1,455 borderline tumors and 10,358 controls with quantitative information on recent alcohol intake to estimate odds ratios (OR) and 95% confidence intervals (CI) according to frequencies of average daily intakes of beer, wine, liquor and total alcohol. RESULTS Total alcohol intake was not associated with all OC: consumption of >3 drinks per day compared to none, OR=0.92, 95% CI=0.76-1.10, P trend=0.27. Among beverage types, a statistically non-significant decreased risk was observed among women who consumed >8 oz/d of wine compared to none (OR=0.83, 95% CI=0.68-1.01, P trend=0.08). This association was more apparent among women with clear cell OC (OR, 0.43; 95% CI, 0.22-0.83; P trend=0.02), although based on only 10 cases and not statistically different from the other histologic types (P value for statistical heterogeneity between histologic types = 0.09). Statistical heterogeneity of the alcohol- and wine-OC associations was seen among three European studies, but not among eight North American studies. No statistically significant associations were observed in separate analyses evaluating risk with borderline tumors of serous or mucinous histology. Smoking status did not significantly modify any of the associations. CONCLUSIONS We found no evidence that recent moderate alcohol drinking is associated with increased risk for overall OC, or that variation in risk is associated strongly with specific histologic types. Understanding modifiable causes of these elusive and deadly cancers remains a priority for the research community.
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Affiliation(s)
- Linda E Kelemen
- Department of Population Health Research, Alberta Health Services-Cancer Care, AB, Canada.
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13
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The association between MTHFR C677T polymorphism and ovarian cancer risk: a meta-analysis of 18, 628 individuals. Mol Biol Rep 2013; 40:2061-8. [DOI: 10.1007/s11033-012-1970-8] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/16/2012] [Accepted: 10/01/2012] [Indexed: 12/12/2022]
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Gao S, Liu N, Ma Y, Ying L. Methylenetetrahydrofolate reductase gene polymorphisms as predictive and prognostic biomarkers in ovarian cancer risk. Asian Pac J Cancer Prev 2012; 13:569-73. [PMID: 22524826 DOI: 10.7314/apjcp.2012.13.2.569] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/10/2022] Open
Abstract
UNLABELLED Early diagnosis and better prognosis of ovarian cancer is still a challenge. Besides environmental risk factors, genetic factors have established a role in pathogenesis of ovarian cancer. METHODS A case-control and a prospective study design conducted in 224 ovarian cancer patients and 432 controls in Chinese population. MTHFR C677T genotyping was done by PCR-RFLP. RESULTS Patients with ovarian cancer is associated with a higher less number of delivery and less frequent oral contraceptive use. When potential confounding factors adjusted logistic regression analysis between cases and controls were performed, significant association was obtained for 677T/T genotype and ovarian cancer (OR=3.13, 95% CI=1.59-5.72). Cox regression survival analysis showed individuals carrying T/T genotype had significantly increased HR for death in ovarian cancer patients (HR=2.86, 95% CI=1.27-7.93). In conclusion, we observed that the MTHFR C677T polymorphism is associated with the susceptibility and survival of ovarian cancer in Chinese population.
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Affiliation(s)
- Song Gao
- Department of Obstetric and Gynecology, Shengjing Hospital of China Medical University, Shenyang, China.
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15
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Poole EM, Gates MA, High BA, Chanock SJ, Cramer DW, Cunningham JM, Fridley BL, Gayther SA, Goode EL, Iversen ES, Lissowska J, Palmieri Weber RT, Pharoah PDP, Phelan CM, Ramus SJ, Schildkraut JM, Sutphen R, Tsai YY, Tyrer J, Vierkant RA, Wentzensen N, Yang HP, Terry KL, Tworoger SS. ABO blood group and risk of epithelial ovarian cancer within the Ovarian Cancer Association Consortium. Cancer Causes Control 2012; 23:1805-10. [PMID: 22961099 DOI: 10.1007/s10552-012-0059-y] [Citation(s) in RCA: 24] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/29/2012] [Accepted: 08/24/2012] [Indexed: 01/01/2023]
Abstract
PURPOSE Previous studies have examined the association between ABO blood group and ovarian cancer risk, with inconclusive results. METHODS In eight studies participating in the Ovarian Cancer Association Consortium, we determined ABO blood groups and diplotypes by genotyping 3 SNPs in the ABO locus. Odds ratios and 95 % confidence intervals were calculated in each study using logistic regression; individual study results were combined using random effects meta-analysis. RESULTS Compared to blood group O, the A blood group was associated with a modestly increased ovarian cancer risk: (OR: 1.09; 95 % CI: 1.01-1.18; p = 0.03). In diplotype analysis, the AO, but not the AA diplotype, was associated with increased risk (AO: OR: 1.11; 95 % CI: 1.01-1.22; p = 0.03; AA: OR: 1.03; 95 % CI: 0.87-1.21; p = 0.76). Neither AB nor the B blood groups were associated with risk. Results were similar across ovarian cancer histologic subtypes. CONCLUSION Consistent with most previous reports, the A blood type was associated modestly with increased ovarian cancer risk in this large analysis of multiple studies of ovarian cancer. Future studies investigating potential biologic mechanisms are warranted.
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Affiliation(s)
- Elizabeth M Poole
- Channing Laboratory, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, 181 Longwood Ave, 3rd Floor, Boston, MA 02115, USA.
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Ding XP, Feng L, Ma L. MTHFR C677T Polymorphism and Ovarian Cancer Risk: A Meta-analysis. Asian Pac J Cancer Prev 2012; 13:3937-42. [DOI: 10.7314/apjcp.2012.13.8.3937] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/10/2022] Open
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17
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MTHFR polymorphisms and ovarian cancer risk: a meta-analysis. Mol Biol Rep 2012; 39:9863-8. [PMID: 22810649 DOI: 10.1007/s11033-012-1852-0] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/10/2012] [Accepted: 06/11/2012] [Indexed: 10/28/2022]
Abstract
UNLABELLED The C677T and A1298C polymorphisms of methylenetetrahydrofolate reductase (MTHFR) have been reported to alter the risk of ovarian cancer. However, the results are still inconclusive. For better understanding of the effect of these two polymorphisms on ovarian cancer risk, a meta-analysis was performed. An extensive search was performed to identify all case-control studies investigating such association. The strength of association between these two polymorphisms and ovarian cancer risk was assessed by odds ratio (OR) with the corresponding 95 % confidence interval (95 % CI). 3,496 cases and 3,631 controls for C677T polymorphism and 3,280 cases and 3,346 controls for A1298C polymorphism were included in this meta-analysis. The results suggested that there were no significant associations between C677T and A1298C polymorphisms and ovarian cancer risk in overall comparisons in all genetic models (For C677T: TT vs. CC: OR = 0.94, 95 % CI = 0.71-1.24, P = 0.65; CT vs. CC: OR = 1.03, 95 % CI = 0.93-1.14, P = 0.57; TT/CT vs. CC: OR = 1.01, 95 % CI = 0.88-1.16, P = 0.87; TT vs. CC/CT OR = 0.93, 95 % CI = 0.72-1.20, P = 0.58. For A1298C: CC vs. AA: OR = 1.05, 95 % CI = 0.88-1.25, P = 0.65; CA vs. AA: OR = 0.98, 95 % CI = 0.88-1.08, P = 0.66; CC/CA vs. AA: OR = 0.99, 95 % CI = 0.90-1.09, P = 0.85; CC vs. AA/CA: OR = 1.06, 95 % CI = 0.90-1.26, P = 0.46). Subgroup analysis based on ethnicities and influence analysis did not perturb the results. In conclusion, the results of this meta-analysis indicate that the MTHFR C677T and A1298C polymorphisms are not associated with ovarian cancer risk, especially in Caucasians.
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Folate intake and methylenetetrahydrofolate reductase gene polymorphisms as predictive and prognostic biomarkers for ovarian cancer risk. Int J Mol Sci 2012; 13:4009-4020. [PMID: 22605962 PMCID: PMC3344198 DOI: 10.3390/ijms13044009] [Citation(s) in RCA: 22] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/16/2012] [Revised: 03/12/2012] [Accepted: 03/15/2012] [Indexed: 12/15/2022] Open
Abstract
Folic acid and methylenetetrahydrofolate reductase (MTHFR) may affect the development of human cancer. However, few studies have evaluated folate intake and MTHFR in susceptibility to and prognosis of patients with ovarian cancer. We conducted a prospective case-control study in 215 ovarian cancer patients and 218 controls (all Chinese) between Jan. 2004 and Jan. 2007. MTHFR C677T genotyping was done by PCR-RFLP. All patients were followed up until Dec. 2010. We found a 2.43-fold increased risk of ovarian cancer among MTHFR 677TT carriers, and a decreased risk of ovarian cancer in individuals with high folate intake (OR = 0.54, 95% CI = 0.32-0.94). Cox regression survival analysis showed that among the ovarian cancer patients, those carrying the 677TT genotype had a higher risk of death (HR = 2.17, 95% CI = 1.20-4.79), while high folate intake was associated with a lower risk of death (HR = 0.43, 95% CI = 0.33-0.88). Moreover, MTHFR 677CC carriers with higher folate intake showed a lower risk of death from ovarian cancer (HR = 0.32, 95% CI = 0.27-0.82). In summary, high folate intake may lessen susceptibility and improve the prognosis of ovarian cancer patients, while the MTHFR 677TT genotype appears to increase ovarian cancer risk and worsen its prognosis in a Chinese population.
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Terry KL, Tworoger SS, Vitonis AF, Wong J, Titus-Ernstoff L, De Vivo I, Cramer DW. Telomere length and genetic variation in telomere maintenance genes in relation to ovarian cancer risk. Cancer Epidemiol Biomarkers Prev 2012; 21:504-12. [PMID: 22267287 DOI: 10.1158/1055-9965.epi-11-0867] [Citation(s) in RCA: 31] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022] Open
Abstract
BACKGROUND Telomeres protect chromosomal ends, shorten with cellular division, and signal cellular senescence, but unchecked telomere attrition can lead to telomere dysfunction, upregulation of telomerase, and carcinogenesis. Shorter telomeres in peripheral blood leukocytes (PBL) have been associated with elevated cancer risk. Furthermore, genetic variants in and around the TERT gene have been implicated in carcinogenesis. METHODS We measured relative telomere length (RTL) in PBLs of 911 cases and 948 controls from the New England case-control (NECC) study, a population-based study of ovarian cancer. In addition, we assessed germ line genetic variation in five telomere maintenance genes among 2,112 cases and 2,456 controls from the NECC study and the Nurses' Health Study, a prospective cohort study. ORs and 95% CIs were estimated by logistic regression. RESULTS Overall, we observed no differences in telomere length between cases and controls. Compared with women with RTL in the longest tertile, women with RTL in the shortest tertile had no increase in risk (OR = 1.01, 95% CI: 0.80-1.28). However, several SNPs in the TERT gene, including rs2736122, rs4246742, rs4975605, rs10069690, rs2736100, rs2853676, and rs7726159, were significantly associated with ovarian cancer risk. We observed a significant gene-level association between TERT and ovarian cancer risk (P = 0.00008). CONCLUSION Our observations suggest that genetic variation in the TERT gene may influence ovarian cancer risk, but the association between average telomere length in PBLs and ovarian cancer remains unclear. IMPACT The role of telomeres in ovarian carcinogenesis remains unsettled and warrants further investigation.
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Affiliation(s)
- Kathryn L Terry
- Obstetrics and Gynecology Epidemiology Center, Department of Obstetrics and Gynecology, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts 02115, USA.
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Folate and choline metabolism gene variants in relation to ovarian cancer risk in the Polish population. Mol Biol Rep 2011; 39:5553-60. [PMID: 22183302 DOI: 10.1007/s11033-011-1359-0] [Citation(s) in RCA: 20] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/21/2011] [Accepted: 12/12/2011] [Indexed: 01/25/2023]
Abstract
Data indicates that genetic factors alone do not account for ovarian tumorigenesis, suggesting that epigenetic status additionally affects this process. Therefore, we assessed the possible contribution of polymorphic variants of genes that may affect DNA methylation to the risk of ovarian cancer incidence in the Polish population. Using PCR-RFLP and HRM analyses, we studied the distribution of BHMT (rs3733890), MTHFD1 (rs2236225), MTHFR (rs1801133), MTR (rs1805087), MTRR (rs1801394) and TCN2 (rs1801198) genotypes and alleles in patients with ovarian cancer (n = 136) and controls (n = 160). Moreover, using DNA and methylation-specific PCR (MSP) we also determined the methylation of the Cadherin 13 (CDH13) promoter in cancerous tissue from these patients. We did not observe a significant association between all studied gene variants and the incidence of ovarian cancer. The lowest P (trend) = 0.1226 was observed for the MTHFR Ala222Val polymorphism. Moreover, the lowest P = 0.0772 was found in the comparison of MTHFR Ala/Ala versus Val/Val and Val/Ala genotypes in patients and control groups. The multifactor dimensionality reduction analysis also did not indicate a significant interactive genetic effect on ovarian cancer incidence for all analyzed SNPs. However, we observed frequent methylation of the CDH13 promoter in approximately 21% (29/136) patients with ovarian carcinomas. Our results might suggest that the selected polymorphic gene variants may not contribute to ovarian cancer incidence.
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Harris HR, Cramer DW, Vitonis AF, DePari M, Terry KL. Folate, vitamin B(6) , vitamin B(12) , methionine and alcohol intake in relation to ovarian cancer risk. Int J Cancer 2011; 131:E518-29. [PMID: 21953625 DOI: 10.1002/ijc.26455] [Citation(s) in RCA: 39] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/20/2011] [Accepted: 09/16/2011] [Indexed: 11/11/2022]
Abstract
Folate, methionine, vitamin B(6) and vitamin B(12) may influence carcinogenesis due to their roles in the one-carbon metabolism pathway, which is critical for DNA synthesis, methylation and repair. Low intake of these nutrients has been associated with an increased risk of breast, colon and endometrial cancers. Previous studies that have examined the relation between these nutrients and ovarian cancer risk have been inconsistent and have had limited power to examine the relation by histologic subtype. We investigated the association between folate, methionine, vitamin B(6) , vitamin B(12) and alcohol among 1910 women with ovarian cancer and 1989 controls from a case-control study conducted in eastern Massachusetts and New Hampshire from 1992 to 2008. Diet was assessed via food frequency questionnaire. Participants were asked to recall diet one-year before diagnosis or interview. Logistic regression models were used to calculate odds ratios (OR) and 95% confidence intervals (95% CIs). We also examined whether the associations varied by ovarian cancer histologies using polytomous logistic regression. We observed an inverse association between dietary vitamin B(6) (covariate-adjusted OR = 0.76, 95% CI 0.64-0.92; p(trend) = 0.002) and methionine intake (covariate-adjusted OR = 0.72, 95% CI = 0.60-0.87; p(trend) < 0.001) and ovarian cancer risk comparing the highest to lowest quartile. The association with dietary vitamin B(6) was strongest for serous borderline (covariate-adjusted OR = 0.49, 95% CI = 0.32-0.77; p(trend) = 0.001) and serous invasive (covariate-adjusted OR = 0.74, 95% CI = 0.58-0.94; p(trend) = 0.012) subtypes. Overall, we observed no significant association between folate and ovarian cancer risk. One-carbon metabolism related nutrients, especially vitamin B(6) and methionine, may lower ovarian cancer risk.
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Prasad VVTS, Wilkhoo H. Association of the functional polymorphism C677T in the methylenetetrahydrofolate reductase gene with colorectal, thyroid, breast, ovarian, and cervical cancers. ACTA ACUST UNITED AC 2011; 34:422-6. [PMID: 21934341 DOI: 10.1159/000331131] [Citation(s) in RCA: 53] [Impact Index Per Article: 4.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/27/2023]
Abstract
BACKGROUND Polymorphisms of the gene encoding methylenetetrahydrofolate reductase (MTHFR) have been studied widely in various cancers, excluding thyroid cancer. However, reports on the association of various polymorphisms with certain cancers are contradictory. MATERIALS AND METHODS We have investigated whether the prevalence of the most common polymorphism (C677T) in the MTHFR gene has any link with various cancers, using genomic DNA and polymerase chain reaction restriction fragment length polymorphism (PCRRFLP) analysis. RESULTS The frequency of the heterozygous variant (677CT) but not that of 677TT was found to be significantly higher in colorectal cancer cases than in controls (p < 0.039; odds ratio 2.35 and 95% confidence interval 1.02-5.415). The frequencies for 677CT were 11.0 and 5.0% in colorectal cancer samples and controls, respectively. In ovarian cancer, the frequency of the 677TT variant was 6.0% which differed significantly (p < 0.026) from the control value of 1.0%. However, the frequencies of the variants in cervical, thyroid, and breast cancer cases did not differ from controls. CONCLUSIONS Our data taken together with other reports indicates that the polymorphism C677T of MTHFR is a risk factor for developing colorectal cancer but not cervical, thyroid, and breast cancers. The present study also reconfirms that frequencies of the variants are not gender-specific.
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Affiliation(s)
- Vidudala V T S Prasad
- Research and Development, Basavatarakam Indo-American Cancer Hospital and Research Institute, Hyderabad, India.
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