Efficacy of immune checkpoint inhibitors in non-small cell lung cancer patients with different metastatic sites: A systematic review and meta-analysis.

2020 ◽  
Vol 38 (15_suppl) ◽  
pp. e21684-e21684
Author(s):  
Kaili Yang ◽  
Lin Zhao ◽  
Jiarui Li ◽  
Chunmei Bai
Keyword(s):  
Lung Cancer ◽  
Brain Metastases ◽  
Liver Metastases ◽  
Immune Checkpoint ◽  
Immune Checkpoint Inhibitors ◽  
Checkpoint Inhibitors ◽  
Small Cell ◽  
Small Cell Lung ◽  
Metastatic Sites ◽  
Nsclc Patients

e21684 Background: Previous studies have demonstrated that bone, brain and liver metastases are poor prognosis factors of immune checkpoint inhibitors (ICIs) therapy in patients with non-small-cell lung cancer (NSCLC). This study aims to compare the efficacy of ICIs with conventional therapy in NSCLC patients with bone, brain or liver metastases. Methods: MEDLINE, Embase and CENTRAL were searched for prospective studies comparing ICIs with conventional therapy in NSCLC patients with bone, brain or liver metastases. Quality assessment was performed using the Newcastle-Ottawa Scale. The pooled hazard ratio (HR) of overall survival (OS) and progression-free survival (PFS) among included studies was analyzed using the random-effects model. Results: From 1,195 relevant articles, eight studies with high methodological quality consisting of 988 patients were included in the analysis. ICIs significantly improved OS for patients with brain metastases (HR = 0.57; 95%CI: 0.37-0.86; P = 0.007). Among patients with liver metastases, OS (HR = 0.72; 95%CI: 0.57-0.91; P = 0.006) and PFS (HR = 0.72; 95%CI: 0.49-0.87; P = 0.004) improvement was observed in the ICI treatment arm. No available study with bone metastases information was identified. Subgroup analysis revealed that PD-1 inhibitors could benefit patients on OS and PFS regardless of metastatic sites. Sensitivity analysis indicated good stability of this analysis. No obvious heterogeneity or publication bias was detected. Conclusions: ICIs could significantly improve OS in patients with brain metastases and both OS and PFS in patients with liver metastases. Although brain and liver metastases are generally regarded as poor prognostic factors for immunotherapy, this study still indicates ICIs are effective therapeutic options for NSCLC patients with these metastatic sites.

scholarly journals Immune checkpoint inhibitors for brain metastases in non-small-cell lung cancer: from rationale to clinical application

Immunotherapy ◽  
2021 ◽  
Author(s):  
Gang Xiao ◽  
Zhiyuan Liu ◽  
Xuan Gao ◽  
Han Wang ◽  
Haiqin Peng ◽  
...  
Keyword(s):  
Lung Cancer ◽  
Brain Metastases ◽  
Small Cell Lung Cancer ◽  
Clinical Data ◽  
Immune Checkpoint ◽  
Immune Checkpoint Inhibitors ◽  
Checkpoint Inhibitors ◽  
Small Cell ◽  
Small Cell Lung ◽  
Nsclc Patients

Brain metastases (BM) is common in non-small-cell lung cancer (NSCLC) patients. Immune checkpoint inhibitors (ICIs) have gradually become a routine treatment for NSCLC BM patients. Currently, three PD-1 inhibitors (pembrolizumab, nivolumab and cemiplimab), one PD-L1 inhibitor (atezolizumab) and one CTLA-4 inhibitor (ipilimumab) have been approved for the first-line treatment of metastatic NSCLC. It is still controversial whether PD-L1, tumor infiltrating lymphocytes, and tumor mutation burden can be used as predictive biomarkers for immune checkpoint inhibitors in NSCLC patients with BM. In addition, clinical data on NSCLC BM were inadequate. Here, we review the theoretical basis and clinical data for the application of ICIs in the therapy of NSCLC BM.

scholarly journals Development of nomogram based on immune-related gene FGFR4 for advanced non-small cell lung cancer patients with sensitivity to immune checkpoint inhibitors

2021 ◽  
Vol 19 (1) ◽  
Author(s):  
Li Wang ◽  
Zhixuan Ren ◽  
Bentong Yu ◽  
Jian Tang
Keyword(s):  
Lung Cancer ◽  
Small Cell Lung Cancer ◽  
Immune Checkpoint ◽  
Immune Checkpoint Inhibitors ◽  
Advanced Nsclc ◽  
Cancer Genomics ◽  
Checkpoint Inhibitors ◽  
Small Cell ◽  
Small Cell Lung ◽  
Nsclc Patients

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.

scholarly journals Subunits of ARID1 serve as novel biomarkers for the sensitivity to immune checkpoint inhibitors and prognosis of advanced non-small cell lung cancer.

2020 ◽  
Author(s):  
Dantong Sun ◽  
Lu Tian ◽  
Yan Zhu ◽  
Yang Wo ◽  
Qiaoling Liu ◽  
...  
Keyword(s):  
Lung Cancer ◽  
Small Cell Lung Cancer ◽  
Cell Lung Cancer ◽  
Immune Checkpoint ◽  
Immune Checkpoint Inhibitors ◽  
Checkpoint Inhibitors ◽  
Small Cell ◽  
Small Cell Lung ◽  
Novel Biomarkers ◽  
Nsclc Patients

Abstract Introduction Patients with advanced non-small cell lung cancer (NSCLC) benefit from treatment with immune checkpoint inhibitors (ICIs). Biomarkers such as programmed death-ligand 1 (PD-L1), the tumor mutational burden (TMB) and the mismatch repair (MMR) status are used to predict the prognosis of ICIs therapy. Nevertheless, novel biomarkers need to be further investigated, and a systematic prognostic model is needed for the evaluation of the survival risks of ICIs treatment.Methods A cohort of 240 patients who received ICIs from the cBioPortal for Cancer Genomics was evaluated in this research. Clinical information and targeted sequencing data were acquired for analyses. The Kaplan-Meier plot method was used to perform survival analyses, and selected variables were then confirmed by a novel nomogram constructed by the “rms” package of R software.Results Seven percent of the NSCLC patients harbored ARID1A mutations, while 4% of the NSCLC patients harbored ARID1B mutations. Mutations in ARID1A and ARID1B were confirmed to be associated with sensitivity to ICIs. Patients harboring these mutations were found to have a better response to treatment (ARID1A: P=0.045; ARID1B: P=0.034) and prolonged progression-free survival (ARID1B: P=0.032). Here, a novel nomogram was constructed to predict the prognosis of ICIs treatment. Elevation of the TMB, enhanced expression of PD-L1 and activation of the antigen presentation process and cellular immunity were found to be correlated with ARID1A and ARID1B mutations.Conclusion ARID1A and ARID1B could serve as novel biomarkers for the prognosis and sensitivity to ICIs of advanced NSCLC.

Potential role of serum proteome in predicting immune-related adverse events from immune checkpoint inhibitors in non-small cell lung cancer.

2021 ◽  
Vol 39 (15_suppl) ◽  
pp. e21218-e21218
Author(s):  
Leeseul Kim ◽  
Young Kwang Chae ◽  
Chan Mi Jung ◽  
Emma Yu ◽  
Alice Daeun Lee ◽  
...  
Keyword(s):  
Lung Cancer ◽  
Adverse Events ◽  
Small Cell Lung Cancer ◽  
Immune Checkpoint ◽  
Immune Checkpoint Inhibitors ◽  
Checkpoint Inhibitors ◽  
Small Cell ◽  
Small Cell Lung ◽  
Significant Difference ◽  
Nsclc Patients

e21218 Background: Early recognition of immune-related adverse events (irAEs) of immune checkpoint inhibitors(ICI) is important. Circulating proteome reflects host response to diseases and is being explored as a marker for response to immunotherapy. We previously have reported that a serum-based proteomics test, Primary Immune Response (PIR) demonstrated a trend that PIR-sensitive patients are more likely to tolerate ICI treatment longer without developing irAEs in non-small cell lung cancer (NSCLC) patients. The VeriStrat test is another serum-based proteomic assay, which was reported to be predictive of survival outcomes for all treatment regimens and lines of therapy including ICI in NSCLC. We explored the associations between the VeriStrat test and developing irAEs in NSCLC patients treated with ICI. Methods: Data of 70 consented NSCLC patients treated with any regimens and lines of therapy including ICI were collected. Samples were grouped into either VeriStrat ‘Good’(VS-G) or VeriStrat ‘Poor’(VS-P). We analyzed the durations from the immunotherapy initiation to each episode of irAE and each irAE above grade 2 using log-rank test. IrAEs were graded according to Common Terminology Criteria for Adverse Events (CTCAE) v5.0. Results: Among the 70 patients, 18 patients (25%) experienced one or more irAEs. There was no significant difference in ‘Time to first irAE’ between VS-G and VS-P (p = 0.72, HR = 0.82, 95% CI = 0.29-2.32). Among 48 VS-G patients, 12(25%) had one or more irAE and 5(10%)had irAE graded over 2. Among 22 VS-P patients, 6(27%) had one or more irAE and 2(9%) had irAE graded over 2. There was no significant difference between VS-G and VS-P groups in the development of irAE and irAE graded over 2. Conclusions: There was no statistically significant association between the VeriStrat test and the development of irAEs. Further studies are warranted to investigate proper serum based proteomic assay to predict the development of irAE.

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