Literature DB >> 28471803

Search for genetic factor association with cancer-free prostate-specific antigen level elevation on the basis of a genome-wide association study in the Korean population.

Eun Kyung Choe1, Young Lee2, Jeong Yeon Cho3, Seung Ho Choi4, Boram Park5, Jong-Eun Lee6, Eun Young Cho6.   

Abstract

We investigated the genetic markers associated with elevated serum prostate-specific antigen (sPSA) levels to improve the predictive power of sPSA in screening for prostate cancer. A genome-wide association study was carried out among 4124 healthy Korean male adults using the Affymetrix Axiom Customized Biobank Genotyping Arrays for sPSA levels. A subgroup analysis for increased sPSA levels who underwent a prostate biopsy (n=64) was also carried out. We detected 11 single nucleotide polymorphisms (SNPs) near the Solute carrier family 45member 3, AGAP7P, MSMB, LOC101929917, and KLK3 genes associated with sPSA levels. The top SNP associated with the log of the sPSA levels was rs72434280 in the Solute carrier family 45 member 3 gene (P value, discovery set=2.98×10, replication set=7.31×10). A case-control study utilizing available biopsy reports (49 patients with normal biopsies vs. 15 patients with biopsies indicating cancer) for the sPSA more than 3 ng/ml group was carried out for the respective SNPs after adjusting for age. Only the SNPs near the KLK3 gene were associated with prostate cancer. In the model of the predictive elevation of sPSA level, adding the genetic risk score [area under the curve (AUC)=0.697] to age and BMI (AUC=0.602) significantly improved the results of the AUC (P<0.0001). We found seven SNPs associated with elevated prostate-specific antigen levels in healthy Korean men. Four SNPs were a novel marker in the Korean population. In men with increased prostate-specific antigen levels, genotyping SNP related to cancer-free elevation of sPSA level could be informative to decide the indication of prostate biopsy.

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Year:  2018        PMID: 28471803     DOI: 10.1097/CEJ.0000000000000359

Source DB:  PubMed          Journal:  Eur J Cancer Prev        ISSN: 0959-8278            Impact factor:   2.497


  5 in total

1.  Genetic Polymorphisms Associated with the Neutrophil⁻Lymphocyte Ratio and Their Clinical Implications for Metabolic Risk Factors.

Authors:  Boram Park; Eun Kyung Choe; Hae Yeon Kang; Eunsoon Shin; Sangwoo Lee; Sungho Won
Journal:  J Clin Med       Date:  2018-08-08       Impact factor: 4.241

2.  Genome-wide assessment of gene-by-smoking interactions in COPD.

Authors:  Boram Park; So-My Koo; Jaehoon An; MoonGyu Lee; Hae Yeon Kang; Dandi Qiao; Michael H Cho; Joohon Sung; Edwin K Silverman; Hyeon-Jong Yang; Sungho Won
Journal:  Sci Rep       Date:  2018-06-18       Impact factor: 4.379

3.  Genetic Polymorphisms of PNPLA3 and SAMM50 Are Associated with Nonalcoholic Fatty Liver Disease in a Korean Population.

Authors:  Goh Eun Chung; Young Lee; Jeong Yoon Yim; Eun Kyung Choe; Min-Sun Kwak; Jong In Yang; Boram Park; Jong-Eun Lee; Jeong A Kim; Joo Sung Kim
Journal:  Gut Liver       Date:  2018-05-15       Impact factor: 4.519

4.  A genome-wide association study on liver enzymes in Korean population.

Authors:  Ji Yeon Seo; Jong-Eun Lee; Goh Eun Chung; Eunsoon Shin; Min-Sun Kwak; Jong In Yang; Jeong Yoon Yim
Journal:  PLoS One       Date:  2020-02-21       Impact factor: 3.240

5.  The association of genetic polymorphisms with nonalcoholic fatty liver disease in a longitudinal study.

Authors:  Goh Eun Chung; Eunsoon Shin; Min-Sun Kwak; Jong In Yang; Jong-Eun Lee; Eun Kyung Choe; Jeong Yoon Yim
Journal:  BMC Gastroenterol       Date:  2020-10-15       Impact factor: 3.067

  5 in total

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