Virtual Library

Start Your Search

Yusuke Takanashi



Author of

  • +

    P43 - Screening and Early Detection - Biomarkers (ID 178)

    • Event: WCLC 2020
    • Type: Posters
    • Track: Screening and Early Detection
    • Presentations: 1
    • Moderators:
    • Coordinates: 1/28/2021, 00:00 - 00:00, ePoster Hall
    • +

      P43.03 - Sphingomyelin Is a Candidate Predictor for Lung Adenocarcinoma Recurrence After Radical Surgery (ID 1333)

      00:00 - 00:00  |  Presenting Author(s): Yusuke Takanashi

      • Abstract
      • Slides

      Introduction

      For efficient application of adjuvant chemotherapy after radical surgery for lung cancer, identifying recurrence high risk group is needed. However, predicting lung cancer recurrence after radical surgery is difficult even with numbers of histopathological prognostic factors reported ever. Because subjective judgements for the conventional histopathological prognostic factors are inevitable, novel prognostic factor with high objectivity is expected. Lipid metabolism alterations are known to contribute to cancer progression. We hypothesized that recurrent lung adenocarcinomas have altered lipidomes and contain specific lipids which can be objective factors for recurrence prediction after radical surgery. The objective of this study is identifying candidate lipid predictors for lung adenocarcinoma recurrence after radical surgery by comparing lipidomes of recurrent and non-recurrent lung adenocarcinomas.

      Methods

      Frozen tissue samples obtained from lung adenocarcinoma patients who had undergone radical surgery among January 2013 to December 2016 at Hamamatsu University Hospital were retrospectively recruited. Lipid extraction from the frozen samples of recurrent patients (n = 10) and non-recurrent patients (n = 10) was performed using the Bligh-Dyer method. Extracted lipid samples were subjected to liquid chromatography - mass spectrometry analysis and annotation for lipid species was performed by LipidSearch™ software. We screened candidate predictors by comparing folding change and P-value of t-test in each lipid between recurrent and non-recurrent groups.

      Results

      Notably, averaged total lipid amount of the recurrent group was 1.65 times higher than that of the non-recurrent group (P = 0.026). We analyzed annotated 2390 lipid species and found that 203 lipid species were increased Folding change>2, P<0.05 and 4 lipid species were decreased (Folding change<0.5, P<0.05 in the recurrent group. The increased lipids in the recurrent group included sphingomyelin that showed high performance of recurrence prediction (AUC: 9.1, sensitivity: 1.0, specificity: 0.8, accuracy: 0.9), which was superior to that of conventional histopathological prognostic factors.

      Conclusion

      We propose sphingomyelin as a candidate predictor for lung adenocarcinoma recurrence with higher objectivity compared to conventional histopathological prognostic factors. Our finding may contribute to development of precise recurrence prediction and qualified postoperative therapeutic strategy for lung adenocarcinomas.

      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.