Literature DB >> 32232919

Genetic variants in PDSS1 and SLC16A6 of the ketone body metabolic pathway predict cutaneous melanoma-specific survival.

Wei Dai1,2,3,4, Hongliang Liu2,3, Ka Chen2,3, Xinyuan Xu2,3, Danwen Qian2,3, Sheng Luo5, Christopher I Amos6, Jeffrey E Lee7, Xin Li8, Hongmei Nan8, Chunying Li4, Qingyi Wei2,3,9.   

Abstract

A few single-nucleotide polymorphisms (SNPs) have been identified to be associated with cutaneous melanoma (CM) survival through genome-wide association studies, but stringent multiple testing corrections required for the hypothesis-free testing may have masked some true associations. Using a hypothesis-driven analysis approach, we sought to evaluate associations between SNPs in ketone body metabolic pathway genes and CM survival. We comprehensively assessed associations between 4196 (538 genotyped and 3658 imputed) common SNPs in 44 ketone body metabolic pathway genes and CM survival, using a dataset of 858 patients of a case-control study from The University of Texas M.D. Anderson Cancer Center as the discovery set and another dataset of 409 patients from the Nurses' Health Study and the Health Professionals Follow-up Study as the replication set. There were 95/858 (11.1%) and 48/409 (11.7%) patients who died of CM, respectively. We identified two independent SNPs (ie, PDSS1 rs12254548 G>C and SLC16A6 rs71387392 G>A) that were associated with CM survival, with allelic hazards ratios of 0.58 (95% confidence interval [CI] = 0.44-0.76, P = 9.00 × 10-5 ) and 1.98 (95% CI = 1.34-2.94, P = 6.30 × 10-4 ), respectively. Additionally, associations between genotypes of the SNPs and messenger RNA expression levels of their corresponding genes support the biologic plausibility of a role for these two variants in CM tumor progression and survival. Once validated by other larger studies, PDSS1 rs12254548 and SLC16A6 rs71387392 may be valuable biomarkers for CM survival.
© 2020 Wiley Periodicals, Inc.

Entities:  

Keywords:  cutaneous melanoma; cutaneous melanoma-specific survival; genome-wide association study; ketone body metabolism; single-nucleotide polymorphism

Year:  2020        PMID: 32232919     DOI: 10.1002/mc.23191

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


  4 in total

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Journal:  Cancer Manag Res       Date:  2022-05-03       Impact factor: 3.602

3.  A pan-cancer analysis revealed the role of the SLC16 family in cancer.

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4.  A novel HCC prognosis predictor PDSS1 affects the cell cycle through the STAT3 signaling pathway in HCC.

Authors:  Zuqin Rao; Heng Li; Wenchao Yao; Qiang Wang; Biao Ma; Dongbo Xue; Xianzhi Meng
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  4 in total

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