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H.Y. Son



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    MINI 08 - Prognostic/Predictive Biomarkers (ID 106)

    • Event: WCLC 2015
    • Type: Mini Oral
    • Track: Biology, Pathology, and Molecular Testing
    • Presentations: 1
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      MINI08.11 - Genome-Wide Association Analysis Identifies Novel Genetic Determinants of Cancer Metastasis in Korean Lung Adenocarcinoma (ID 2363)

      17:50 - 17:55  |  Author(s): H.Y. Son

      • Abstract
      • Presentation
      • Slides

      Background:
      Non-small cell lung cancer (NSCLC) is characterized by poor prognosis, and few molecular markers were proven to be associated with cancer metastasis. The aim of the study is to identify the associations between single-nucleotide polymorphisms (SNPs) and distant metastasis of adenocarcinoma of the lung in Korean population.

      Methods:
      We conducted a genome-wide association study (GWAS) of in 499 Korean lung adenocarcinomas comparing 4,653,588 SNPs genotypes. Analyses were performed to investigate the association between the germline variations in all genes and cancer metastasis, survival and cancer recurrence.

      Results:
      We undertook a gene-metastasis interaction analysis in a GWAS of lung cancer using a case-control study. (18cases and 481controls) The combined analyses identified two susceptibility loci for metastasis risk in lung adenocarcinoma: SYNE1 [rs117050208, p-value = 1.91 x 10[-14], odds ratio (OR) = 87] and QSOX1 (rs148150589, p-value = 4.46 x 10[-9], OR = 56.5). SYNE1 was known to play crucial roles in the dynamics of genetic progression in colorectal adenocarcinoma and QSOXI was considered a prognostic indicator of metastatic potential in the breast cancer. (Figure1) However, no significant association was found between SNPs and either survival or recurrence. Figure 1



      Conclusion:
      Our data suggest that the SYNE1 rs117050208 and the QSOX1 rs148150589 may serve as potential biomarkers to influence cancer metastasis in the Korean lung adenocarcinoma. The analysis of the rs117050208 and rs148150589 polymorphism can help identify patients at high risk of distant metastasis of lung adenocarcinoma.

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