Virtual Library

Start Your Search

Yoonki Hong



Author of

  • +

    P2.03 - Biology (ID 162)

    • Event: WCLC 2019
    • Type: Poster Viewing in the Exhibit Hall
    • Track: Biology
    • Presentations: 1
    • Now Available
    • Moderators:
    • Coordinates: 9/09/2019, 10:15 - 18:15, Exhibit Hall
    • +

      P2.03-12 - Epigenome-Wide Methylation Study from Blood Samples of Lung Cancer Patients and Controls (Now Available) (ID 2223)

      10:15 - 18:15  |  Presenting Author(s): Yoonki Hong

      • Abstract
      • Slides

      Background

      Despite a concerted effort to find markers for early detection or prognosis prediction, there is no biomarker with clinical application in screening or treatment decision of lung cancer. Early diagnosis using noninvasive biomarkers could play a hopeful role in increasing the survival rate of lung cancer patients. Recently, some evidences were provided that methylation changes in peripheral blood may be predictor of lung cancer mortality and may improve prediction of lung cancer risk. We present the results of an epigenome-wide methylation study from blood of 150 pairs of lung cancer cases and controls from a Korean subjects.

      Method

      For this study, we used blood samples obtained from the BioResource Center of Asan Medical Center (Seoul, South Korea) that had been donated by 150 patients who diagnosed to non small cell lung cancer (NSCLC) and 150 normal controls who has undergone a health screening in 2012 to 2014. The normal controls of 150 were selected by frequency matching with the 150 patients with NSCLC on age, sex, smoking status. Genome-wide methylation profiles were obtained by using a MethylationEPIC BeadChip kit, which covers the 850,000bp cytosine-phosphate-guanine (CpG) site. To identify differentially methylated probes (DMPs) in association with NSCLC, a logistic regression model was used with the response variable of NSCLC status and the predictor variable of methylation values.

      Result

      The average age was 56 years in patients with NSCLC and control subjects. 72 never, 48 former, and 30 current smokers were included in the both groups.

      From association analysis, we found 11 suggestive DMPs (p<1.0E-5) associated with NSCLC after adjusting for age, gender, PCA, smoking, and the estimated cell-type proportions. From DMP analyses according to smoking status, we found 58 suggestive DMPs and two significant DMPs (cg12169243 (DPH6), p=4.3E-08 and cg25429010 (IMP3), p=5.2E-08) associated with NSCLC in group of current smokers.

      To affirm that smoking is associated with NSCLC in our study, as well known, we evaluated significant CpGs associated with current smoking in each groups of NSCLC patients and controls. Cg03636183 (F2RL3) and cg05934812 (AHRR), well known gene site for smoking and NSCLC, were found to be significantly associated with smoking in NSCLC patients group.

      Conclusion

      This genome-wide DNA methylation study showed that DNA methylations changes were associated with NSCLC after adjusting for age, gender, PCA, smoking, and the estimated cell-type proportions, independent of smoking status. The DNA methylation changes may be candidate target regions for early detection and prevention in lung cancer.

      Only Active Members that have purchased this event or have registered via an access code will be able to view this content. To view this presentation, please login or select "Add to Cart" and proceed to checkout.