Tumor LAG-3 and NY-ESO-1 expression predict durable clinical benefits of immune checkpoint inhibitors in advanced non-small cell lung cancer

2020 ◽  
Author(s):  
Eun Hee Jung ◽  
Hee Ryung Jang ◽  
Se Hyun Kim ◽  
Koung Jin Suh ◽  
Yu Jung Kim ◽  
...  

Abstract Background Immune checkpoint inhibitors (ICIs) are an established treatment for non-small cell lung cancer (NSCLC) that have demonstrated durable clinical benefits (DCBs). Previous studies have suggested that NY-ESO-1 and LAG-3 could be surrogate markers of ICI responses in NSCLC; therefore, we explored the predictive value of NY-ESO-1 and LAG-3 expression in NSCLC. Methods We retrospectively reviewed the records of 38 patients with advanced NSCLC treated with anti-PD-1 monoclonal antibodies from 2013 to 2016 at Seoul National University Hospital and Seoul National University Bundang Hospital after failed platinum-based chemotherapy. Tumor tissues from each patient were subjected to immunohistochemical analysis to determine NY-ESO-1, LAG-3, and PD-L1 expression, whose ability to predict progression-free survival (PFS) and overall survival (OS) was then analyzed alongside their positive (PPV) and negative (NPV) predictive values. Results NY-ESO-1 or LAG-3 expression was detected in all tumor samples from patients with high PD-L1 expression and was significantly associated with favorable patient outcomes, unlike PD-L1 expression. Patients whose tumors expressed both NY-ESO-1 and LAG-3 had a high DCB rate and those with triple-positive PD-L1, LAG-3, and NY-ESO expression had a superior median OS and PFS compared to those in patients with triple-negative expression. Furthermore, LAG-3 and NY-ESO-1 co-expression was an independent predictor of both PFS and OS, while LAG-3 displayed a good NPV. Conclusion Therefore, patients with NSCLC who co-express NY-ESO-1 or LAG-3 with PD-L1 exhibit greater DCBs and improved long-term survival following anti-PD-1 therapy. Moreover, NY-ESO-1 and LAG-3 could be novel predictive biomarkers of survival and should be considered in the future use of ICIs.

2021 ◽  
Vol 16 (3) ◽  
pp. S300-S301
Author(s):  
M. Peravali ◽  
C. Gomes-Lima ◽  
E. Tefera ◽  
M. Baker ◽  
M. Sherchan ◽  
...  

2021 ◽  
Vol 19 (1) ◽  
Author(s):  
Li Wang ◽  
Zhixuan Ren ◽  
Bentong Yu ◽  
Jian Tang

Abstract Introduction Immune checkpoint inhibitors (ICIs) have become a frontier in the field of clinical technology for advanced non-small cell lung cancer (NSCLC). Currently, the predictive biomarker of ICIs mainly including the expression of PD-L1, TMB, TIICs, MMR and MSI-H. However, there are no official biomarkers to guide the treatment of ICIs and to determine the prognosis. Therefore, it is essential to explore a systematic nomogram to predict the prognosis of ICIs treatment in NSCLC Methods In this work, we obtained gene expression and clinical data of NSCLC patients from the TCGA database. Immune-related genes (IRGs) were downloaded from the ImmPort database. The detailed clinical annotation and response data of 240 advanced NSCLC patients who received ICIs treatment were obtained from the cBioPortal for Cancer Genomics. Kaplan–Meier survival analysis was used to perform survival analyses, and selected clinical variables to develop a novel nomogram. The prognostic significance of FGFR4 was validated by another cohort in cBioPortal for Cancer Genomics. Results 3% of the NSCLC patients harbored FGFR4 mutations. The mutation of FGFR4 were confirmed to be associated with PD-L1, and TMB. Patients harbored FGFR4 mutations were found to have a better prolonged progression-free survival (PFS) to ICIs treatment (FGFR4: P = 0.0209). Here, we built and verified a novel nomogram to predict the prognosis of ICIs treatment for NSCLC patients. Conclusion Our results showed that FGFR4 could serve as novel biomarkers to predict the prognosis of ICIs treatment of advanced NSCLC. Our systematic prognostic nomogram showed a great potential to predict the prognosis of ICIs for advanced NSCLC patients.


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