Literature DB >> 31435991

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

Ka Chen1,2,3, Hongliang Liu2,3, Zhensheng Liu2,3, Wendy Bloomer2,3, Christopher I Amos4, Jeffrey E Lee5, Xin Li6, Hongmei Nan6, Qingyi Wei2,3,7.   

Abstract

Glutamine dependence is a unique metabolic defect seen in cutaneous melanoma (CM), directly influencing the treatment and prognosis. Here, we investigated the associations between 6025 common single-nucleotide polymorphisms (SNPs) in 77 glutamine metabolic pathway genes with CM-specific survival (CMSS) using genotyping datasets from two published genome-wide association studies (GWASs). In the single-locus analysis, 76 SNPs were found to be significantly associated with CMSS (P < .050, false-positive report probability < 0.2 and Bayesian false discovery probability < 0.8) in the discovery dataset, of which seven SNPs were replicated in the validation dataset and three SNPs (HAL rs17676826T > C, LGSN rs12663017T > A, and NOXRED1 rs8012548A > G) independently predicted CMSS, with an effect-allele attributed adjusted hazards ratio of 1.52 (95% confidence interval = 1.19-1.93) and P < .001, 0.68 (0.54-0.87) and P = .002 and 0.62 (0.46-0.83) and P = .002, respectively. The model including the number of unfavorable genotypes (NUGs) of these three SNPs and covariates improved the five-year CMSS prediction (P = .012) than the one with other covariates only. Further expression quantitative trait loci (eQTL) analysis found that the LGSN rs12663017 A allele was significantly associated with increased messenger RNA (mRNA) expression levels (P = 8.89 × 10 -11 ) in lymphoblastoid cell lines of the 1000 Genomes Project database. In the analysis of the genotype tissue expression (GTEx) project datasets, HAL rs17676826 C and NOXRED1 rs8012548 G alleles were significantly associated with their mRNA expression levels in sun-exposed skin of the lower leg (P = 6.62 × 10-6 and 1.37 × 10-7 , respectively) and in sun-not-exposed suprapubic skin (P < .001 and 1.43 × 10-8 , respectively). Taken together, these genetic variants of glutamine-metabolic pathway genes may be promising predictors of survival in patients with CM.
© 2019 Wiley Periodicals, Inc.

Entities:  

Keywords:  cutaneous melanoma; genome-wide association study; glutamine; single-nucleotide polymorphism; survival

Mesh:

Substances:

Year:  2019        PMID: 31435991      PMCID: PMC7504905          DOI: 10.1002/mc.23100

Source DB:  PubMed          Journal:  Mol Carcinog        ISSN: 0899-1987            Impact factor:   4.784


  49 in total

1.  Assessing the probability that a positive report is false: an approach for molecular epidemiology studies.

Authors:  Sholom Wacholder; Stephen Chanock; Montserrat Garcia-Closas; Laure El Ghormli; Nathaniel Rothman
Journal:  J Natl Cancer Inst       Date:  2004-03-17       Impact factor: 13.506

2.  The NCBI dbGaP database of genotypes and phenotypes.

Authors:  Matthew D Mailman; Michael Feolo; Yumi Jin; Masato Kimura; Kimberly Tryka; Rinat Bagoutdinov; Luning Hao; Anne Kiang; Justin Paschall; Lon Phan; Natalia Popova; Stephanie Pretel; Lora Ziyabari; Moira Lee; Yu Shao; Zhen Y Wang; Karl Sirotkin; Minghong Ward; Michael Kholodov; Kerry Zbicz; Jeffrey Beck; Michael Kimelman; Sergey Shevelev; Don Preuss; Eugene Yaschenko; Alan Graeff; James Ostell; Stephen T Sherry
Journal:  Nat Genet       Date:  2007-10       Impact factor: 38.330

3.  A Bayesian measure of the probability of false discovery in genetic epidemiology studies.

Authors:  Jon Wakefield
Journal:  Am J Hum Genet       Date:  2007-07-03       Impact factor: 11.025

Review 4.  From Krebs to clinic: glutamine metabolism to cancer therapy.

Authors:  Brian J Altman; Zachary E Stine; Chi V Dang
Journal:  Nat Rev Cancer       Date:  2016-07-29       Impact factor: 60.716

5.  Comparative metabolic flux profiling of melanoma cell lines: beyond the Warburg effect.

Authors:  David A Scott; Adam D Richardson; Fabian V Filipp; Christine A Knutzen; Gary G Chiang; Ze'ev A Ronai; Andrei L Osterman; Jeffrey W Smith
Journal:  J Biol Chem       Date:  2011-10-13       Impact factor: 5.157

Review 6.  Cancer cell metabolism: one hallmark, many faces.

Authors:  Jason R Cantor; David M Sabatini
Journal:  Cancer Discov       Date:  2012-09-25       Impact factor: 39.397

Review 7.  The Emerging Hallmarks of Cancer Metabolism.

Authors:  Natalya N Pavlova; Craig B Thompson
Journal:  Cell Metab       Date:  2016-01-12       Impact factor: 27.287

8.  A role for ultraviolet radiation immunosuppression in non-melanoma skin cancer as evidenced by gene-environment interactions.

Authors:  Marleen M Welsh; Margaret R Karagas; Katie M Applebaum; Steven K Spencer; Ann E Perry; Heather H Nelson
Journal:  Carcinogenesis       Date:  2008-07-18       Impact factor: 4.944

Review 9.  Proline metabolism and cancer: emerging links to glutamine and collagen.

Authors:  James M Phang; Wei Liu; Chad N Hancock; Joseph W Fischer
Journal:  Curr Opin Clin Nutr Metab Care       Date:  2015-01       Impact factor: 4.294

Review 10.  Metabolic rewiring in melanoma.

Authors:  B I Ratnikov; D A Scott; A L Osterman; J W Smith; Z A Ronai
Journal:  Oncogene       Date:  2016-06-06       Impact factor: 9.867

View more
  1 in total

1.  17β‑estradiol‑induced mitochondrial dysfunction and Warburg effect in cervical cancer cells allow cell survival under metabolic stress.

Authors:  Annie Riera Leal; Pablo César Ortiz-Lazareno; Luis Felipe Jave-Suárez; Adrián Ramírez De Arellano; Adriana Aguilar-Lemarroy; Yveth Marlene Ortiz-García; Carlos Alfredo Barrón-Gallardo; Raúl Solís-Martínez; Sonia Luquin De Anda; José Francisco Muñoz-Valle; Ana Laura Pereira-Suárez
Journal:  Int J Oncol       Date:  2019-11-14       Impact factor: 5.650

  1 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.