Literature DB >> 31955403

Genetic variants in the folate metabolic pathway genes predict cutaneous melanoma-specific survival.

W Dai1,2,3,4, H Liu2,3, Y Liu2,3, X Xu2,3, D Qian2,3, S Luo5, E Cho6,7,8, D Zhu9, C I Amos9, S Fang10, J E Lee10, X Li8,11, H Nan8,11, C Li4, Q Wei2,3,12.   

Abstract

BACKGROUND: Folate metabolism plays an important role in DNA methylation and nucleic acid synthesis and thus may function as a regulatory factor in cancer development. Genome-wide association studies (GWASs) have identified some single-nucleotide polymorphisms (SNPs) associated with cutaneous melanoma-specific survival (CMSS), but no SNPs were found in genes involved in the folate metabolic pathway.
OBJECTIVES: To examine associations between SNPs in folate metabolic pathway genes and CMSS.
METHODS: We comprehensively evaluated 2645 (422 genotyped and 2223 imputed) common SNPs in folate metabolic pathway genes from a published GWAS of 858 patients from The University of Texas MD Anderson Cancer Center and performed the validation in another GWAS of 409 patients from the Nurses' Health Study and Health Professionals Follow-up Study, in which 95/858 (11·1%) and 48/409 (11·7%) patients died of cutaneous melanoma, respectively.
RESULTS: We identified two independent SNPs (MTHFD1 rs1950902 G>A and ALPL rs10917006 C>T) to be associated with CMSS in both datasets, and their meta-analysis yielded an allelic hazards ratio of 1·75 (95% confidence interval 1·32-2·32, P = 9·96 × 10-5 ) and 2·05 (1·39-3·01, P = 2·84 × 10-4 ), respectively. The genotype-phenotype correlation analyses provided additional support for the biological plausibility of these two variants' roles in tumour progression, suggesting that variation in SNP-related mRNA expression levels is likely to be the mechanism underlying the observed associations with CMSS.
CONCLUSIONS: Two possibly functional genetic variants, MTHFD1 rs1950902 and ALPL rs10917006, were likely to be independently or jointly associated with CMSS, which may add to personalized treatment in the future, once further validated. What is already known about this topic? Existing data show that survival rates vary among patients with melanoma with similar clinical characteristics; therefore, it is necessary to identify additional complementary biomarkers for melanoma-specific prognosis. A hypothesis-driven approach, by pooling the effects of single-nucleotide polymorphisms (SNPs) in a specific biological pathway as genetic risk scores, may provide a prognostic utility, and genetic variants of genes in folate metabolism have been reported to be associated with cancer risk. What does this study add? Two genetic variants in the folate metabolic pathway genes, MTHFD1 rs1950902 and ALPL rs10917006, are significantly associated with cutaneous melanoma-specific survival (CMSS). What is the translational message? The identification of genetic variants will make a risk-prediction model possible for CMSS. The SNPs in the folate metabolic pathway genes, once validated in larger studies, may be useful in the personalized management and treatment of patients with cutaneous melanoma.
© 2020 British Association of Dermatologists.

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Year:  2020        PMID: 31955403      PMCID: PMC7367702          DOI: 10.1111/bjd.18878

Source DB:  PubMed          Journal:  Br J Dermatol        ISSN: 0007-0963            Impact factor:   9.302


  37 in total

1.  Cancer statistics, 2018.

Authors:  Rebecca L Siegel; Kimberly D Miller; Ahmedin Jemal
Journal:  CA Cancer J Clin       Date:  2018-01-04       Impact factor: 508.702

2.  Cationic folate-mediated liposomal delivery of bis-arylidene oxindole induces efficient melanoma tumor regression.

Authors:  Chandra Kumar Elechalawar; Kathyayani Sridharan; Abhishek Pal; Mohammed Tanveer Ahmed; Mohammed Yousuf; Susanta Sekhar Adhikari; Rajkumar Banerjee
Journal:  Biomater Sci       Date:  2017-08-22       Impact factor: 6.843

Review 3.  Unraveling the complex relationship between folate and cancer risk.

Authors:  Joel B Mason
Journal:  Biofactors       Date:  2011 Jul-Aug       Impact factor: 6.113

4.  Prospective association between dietary folate intake and skin cancer risk: results from the Supplémentation en Vitamines et Minéraux Antioxydants cohort.

Authors:  Mathilde Donnenfeld; Mélanie Deschasaux; Paule Latino-Martel; Abou Diallo; Pilar Galan; Serge Hercberg; Khaled Ezzedine; Mathilde Touvier
Journal:  Am J Clin Nutr       Date:  2015-07-08       Impact factor: 7.045

5.  Metabolic role of cytoplasmic isozymes of 5,10-methylenetetrahydrofolate dehydrogenase in Saccharomyces cerevisiae.

Authors:  M G West; D W Horne; D R Appling
Journal:  Biochemistry       Date:  1996-03-05       Impact factor: 3.162

Review 6.  An Epidemiological Review of Diet and Cutaneous Malignant Melanoma.

Authors:  Keming Yang; Teresa T Fung; Hongmei Nan
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2018-07-17       Impact factor: 4.254

7.  Association of polymorphisms in one-carbon metabolism genes and postmenopausal breast cancer incidence.

Authors:  Victoria L Stevens; Marjorie L McCullough; Alexandre L Pavluck; Jeffrey T Talbot; Heather S Feigelson; Michael J Thun; Eugenia E Calle
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2007-06       Impact factor: 4.254

8.  Folate metabolism genetic polymorphisms and meningioma and glioma susceptibility in adults.

Authors:  Dongming Chen; Jun Dong; Ying Huang; Feng Gao; Xiaopeng Yang; Xianglun Gong; Xiaochen Lv; Chenghao Chu; Yonggang Wu; Yong Zheng
Journal:  Oncotarget       Date:  2017-07-04

9.  Tumour-derived alkaline phosphatase regulates tumour growth, epithelial plasticity and disease-free survival in metastatic prostate cancer.

Authors:  S R Rao; A E Snaith; D Marino; X Cheng; S T Lwin; I R Orriss; F C Hamdy; C M Edwards
Journal:  Br J Cancer       Date:  2016-12-22       Impact factor: 7.640

10.  Effects of folic acid supplementation on overall and site-specific cancer incidence during the randomised trials: meta-analyses of data on 50,000 individuals.

Authors:  Stein Emil Vollset; Robert Clarke; Sarah Lewington; Marta Ebbing; Jim Halsey; Eva Lonn; Jane Armitage; JoAnn E Manson; Graeme J Hankey; J David Spence; Pilar Galan; Kaare H Bønaa; Rex Jamison; J Michael Gaziano; Peter Guarino; John A Baron; Richard F A Logan; Edward L Giovannucci; Martin den Heijer; Per M Ueland; Derrick Bennett; Rory Collins; Richard Peto
Journal:  Lancet       Date:  2013-03-23       Impact factor: 79.321

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  1 in total

1.  Using Tumor-Infiltrating Immune Cells and a ceRNA Network Model to Construct a Prognostic Analysis Model of Thyroid Carcinoma.

Authors:  Fan Zhang; Xiaohui Yu; Zheyu Lin; Xichang Wang; Tiantian Gao; Di Teng; Weiping Teng
Journal:  Front Oncol       Date:  2021-06-01       Impact factor: 6.244

  1 in total

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