1. Correlation of MET gene amplification and TP53 mutation with PD-L1 expression in non-small cell lung cancer.
- Author
-
Albitar M, Sudarsanam S, Ma W, Jiang S, Chen W, Funari V, Blocker F, and Agersborg S
- Abstract
Background: The role of MET amplification in lung cancer, particularly in relation to checkpoint inhibition and EGFR WT, has not been fully explored. In this study, we correlated PD-L1 expression with MET amplification and EGFR , KRAS , or TP53 mutation in primary lung cancer., Methods: In this retrospective study, tissue collected from 471 various tumors, including 397 lung cancers, was tested for MET amplification by FISH with a MET /centromere probe. PD-L1 expression was evaluated using clone SP142 and standard immunohistochemistry, and TP53 , KRAS , and EGFR mutations were tested using next generation sequencing., Results: Our results revealed that PD-L1 expression in non-small cell lung cancer is inversely correlated with EGFR mutation (P=0.0003), and positively correlated with TP53 mutation (P=0.0001) and MET amplification (P=0.004). Patients with TP53 mutations had significantly higher MET amplification (P=0.007), and were more likely (P=0.0002) to be EGFR wild type. There was no correlation between KRAS mutation and overall PD-L1 expression, but significant positive correlation between PD-L1 expression and KRAS with TP53 co-mutation (P=0.0002). A cut-off for the ratio of MET : centromere signal was determined as 1.5%, and 4% of lung cancer patients were identified as MET amplified., Conclusions: This data suggests that in lung cancer both MET and TP53 play direct roles in regulating PD-L1 opposing EGFR . Moreover, KRAS and TP53 co-mutation may cooperate to drive PD-L1 expression in lung cancer. Adding MET or TP53 inhibitors to checkpoint inhibitors may be an attractive combination therapy in patients with lung cancer and MET amplification., Competing Interests: CONFLICTS OF INTEREST Maher Albitar, Wanlong Ma, Vincent Funari, Forrest Blocker, and Sally Agersborg are employed and own stocks in NeoGenomics.
- Published
- 2018
- Full Text
- View/download PDF