Determinants of survival in advanced non-small cell lung cancer patients treated with anti-PD-1/PD-L1 therapy

被引:6
|
作者
Ali, Wael Abdullah Sultan [1 ]
Hui, Pan [1 ]
Ma, Yuxiang [1 ]
Wu, Yuehan [2 ]
Zhang, Yang [2 ]
Chen, Yukun [1 ]
Hong, Shaodong [1 ]
Yang, Yunpeng [1 ]
Huang, Yan [1 ]
Zhao, Yuanyuan [1 ]
Fang, Wenfeng [1 ]
Zhao, Hongyun [2 ]
Zhang, Li [1 ]
机构
[1] Sun Yat Sen Univ, Collaborat Innovat Ctr Canc Med, Dept Med Oncol, State Key Lab Oncol South China,Canc Ctr, Guangzhou, Peoples R China
[2] Sun Yat Sen Univ, Collaborat Innovat Ctr Canc Med, Dept Clin Res, State Key Lab Oncol South China,Canc Ctr, Guangzhou, Peoples R China
关键词
Non-small cell lung cancer (NSCLC); immune checkpoint inhibitors (ICIs); survival benefits; determinant factors; LIPI score; tumor mutation burden (TMB); IMMUNE PROGNOSTIC INDEX; CHECKPOINT; ASSOCIATION; BIOMARKERS; BLOCKADE; OUTCOMES; SCORE; LIPI;
D O I
10.21037/atm-21-1702
中图分类号
R73 [肿瘤学];
学科分类号
100214 ;
摘要
Background: The present study aimed to investigate the determinant factors of survival in patients with pretreated advanced stage non-small cell lung cancer (NSCLC) who received anti-PD-1/PD-L1 therapy. Methods: In this observational retrospective study, the clinical profiles and laboratory parameters of patients with NSCLC treated with anti-PD-1/PD-L1 therapy were consecutively collected. Lung Immune Prognostic Index (LIPI) was calculated based on the derived neutrophil-to-lymphocyte ratio (dNLR) and lactate dehydrogenase level (LDH). Modified Glasgow Prognostic Score (mGPS) was calculated based on serum C reactive protein and albumin, and tumor mutation burden (TMB) was calculated using a targeted next-generation sequencing panel based on 422 cancer-relevant genes. The primary and secondary end points were overall survival (OS) and progression-free survival (PFS), respectively. The Cox regression model was used to identify the potential determinant factors of survival benefit. Trained oncologists at Sun Yat-sen University Cancer Center followed all of the participants through visits to doctors' offices or via telephone calls to determine their clinical status. Results: Seventy-three patients were included in our study. With a median follow up time of 637 days, there was a significant difference in PFS between patients with high TMB compared to those with low TMB (3.7 vs. 2.1 months; P=0.004), while no significant difference was found in OS (14.0 vs. 16.4 months; P=0.972). Patients with a good LIPI score had a significantly longer OS compared to patients with a poor LIPI score (19.2 vs. 12.6 months; P=0.010). The median OS in patients with a good and a poor mGPS was 16.8 and 4.3 months, respectively (P=0.029). In multivariate analysis, TMB was found to be significantly associated with PFS (HR, 0.38; 95% CI: 0.21-0.69; P=0.002), while LIPI score was found to be significantly associated with OS (HR, 0.50; 95% CI: 0.28-0.89; P=0.012). Conclusions: In the present study, LIPI score was a significant determinant of OS in patients with advanced NSCLC who received ICIs; however, TMB was only associated with PFS and not associated with OS.
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页数:9
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