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lunxi Peng



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    P85 - Targeted Therapy - Clinically Focused - MET (ID 262)

    • Event: WCLC 2020
    • Type: Posters
    • Track: Targeted Therapy - Clinically Focused
    • Presentations: 1
    • Moderators:
    • Coordinates: 1/28/2021, 00:00 - 00:00, ePoster Hall
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      P85.02 - NGS could not Replace FISH Regarding to MET Amplification as an Optimal Biomarker (ID 1581)

      00:00 - 00:00  |  Presenting Author(s): lunxi Peng

      • Abstract
      • Slides

      Introduction

      MET amplification (MET amp) is known as an important mechanism of resistance to EGFR-TKIs in NSCLC. We investigated the association between survival benefits and MET status identified by different methods, to explore the appropriate biomarker to select patient for MET-TKIs treatment in advanced NSCLC.

      Methods

      Method: FISH (fluorescence in situ hybridization), IHC (immunohistochemistry) and NGS (next generation sequences) were performed prospectively from FFPE/liquid samples with NSCLC. MET amplification by FISH was defined as MET/CEP7 ratio>2 or CN(copy number )>6 and served as the standard reference for over-express by IHC and copy number gain (CNG) by NGS. Objective response (OR) and PFS were used to confirm optimal biomarker for MET inhibitor.

      Results

      We identified MET dysregulation of 37 NSCLC patients by FISH, IHC and NGS before MET-TKIs administration and assessing the survival benefits of 33 cases treated MET inhibitor. The consistence of FISH, IHC and NGS was only 54%. They are the different population. MET amplification identified by FISH proved the best predictive efficiency for survival benefits. The PR rate was 82% (18/22) and median PFS was 4.8 months in MET amp, compared to 1.0 months for cases with non-MET amp (P= 0.004). Both MET dysregulations identified by NGS or IHC failed to distinguish the significant survival difference in patients with MET-TKIs. Comparing with MET amplification by FISH, effective cases were more seen in patients with CNG > 4.0 or IHC score >290 . Based on these two cut-off values:CNG > 4.0 or IHC score >290 still did not predict efficacy of MET inhibitors, suggesting CNG by NGS had no significant associations with efficacy benefits.

      Conclusion

      Compared to MET amplification identified by FISH, CNG dysregulation by NGS or MET protein over-express by IHC could not serves as the predictive biomarker for MET inhibitors.

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