Real-world data on patients with metastatic non-small-cell lung cancer treated with checkpoint inhibitors in an Italian Teaching Hospital in 2015–2018

2020 ◽  
pp. 107815522094158
Author(s):  
Marianna Veraldi ◽  
Stefania Esposito ◽  
Maria D. Naturale ◽  
Marco Oradei ◽  
Donato Cosco ◽  
...  
Keyword(s):  
Lung Cancer ◽  
Real World ◽  
Immune Checkpoint ◽  
Immune Checkpoint Inhibitors ◽  
Advanced Nsclc ◽  
Checkpoint Inhibitors ◽  
Small Cell ◽  
Small Cell Lung ◽  
Real World Data ◽  
World Data

Background Non-small-cell lung carcinoma (NSCLC) accounts for 85–90% of all forms of lung cancer. Immuno-oncology represents a valid new approach but the high cost requires a specific evaluation of the health outcomes. This study describes the real-world efficacy, safety and cost profiles of the new anti-PD-1 immune-checkpoint inhibitors nivolumab and pembrolizumab on a cohort of 56 selected patients with advanced NSCLC. Methods A retrospective, observational analysis was conducted on patients treated with immune checkpoint inhibitors from September 2015 to September 2018 at Azienda Ospedaliera Universitaria “Mater Domini” in Catanzaro, Italy. Data sources were medical records, internal prescription cards and reports of adverse reactions. Results Fifty-six patients were diagnosed with advanced NSCLC, 64.3% characterized by a non-squamous histology, 30.3% squamous and 5.4% not specified. First-line treatment with pembrolizumab was administered to 11 patients for an average of 4.4 months, while 45 patients were treated with nivolumab for an average of 8.6 months. Data showed a survival rate of 95% after 6 months and 88% after 12 months. Most patients received immunotherapy as a second-line or subsequent treatment. In terms of prior therapy among all the patients, 43 had received platinum-based treatments. Indirect comparison with other real-world data studies showed variability in methodologies and an alignment in terms of results. Conclusion This study, based on real-world data, was a first step in the assessment of the impact of the introduction of a significant new class of treatments, i.e. immunotherapy, and covers patients, treatments and outcomes, as well as organizational and economic variables.

scholarly journals Plasma Biomarkers Screening by Multiplex ELISA Assay in Patients with Advanced Non-Small Cell Lung Cancer Treated with Immune Checkpoint Inhibitors

Cancers ◽  
2020 ◽  
Vol 13 (1) ◽  
pp. 97
Author(s):  
Adrien Costantini ◽  
Paul Takam Kamga ◽  
Catherine Julie ◽  
Alexandre Corjon ◽  
Coraline Dumenil ◽  
...  
Keyword(s):  
Lung Cancer ◽  
Growth Factor ◽  
Immune Checkpoint ◽  
Immune Checkpoint Inhibitors ◽  
Advanced Nsclc ◽  
Checkpoint Inhibitors ◽  
Small Cell ◽  
Elisa Assay ◽  
Small Cell Lung ◽  
Plasma Biomarkers

Immune checkpoint inhibitors (ICIs) are commonly used in patients with advanced non-small cell lung cancer (NSCLC). An unmet need remains for new biomarkers associated with ICIs. In this study, consecutive patients with advanced NSCLC treated with nivolumab or pembrolizumab were included. Plasma at ICIs initiation was prospectively collected and a multiplex ELISA assay testing 48 cytokines and growth factors was performed. Exploratory endpoints were the association between plasma biomarkers with outcome and grade III–IV immune related adverse events (irAEs). Thirty-five patients were included. Patients without clinical benefit (n = 22) had higher pre-ICI soluble Hepatocyte Growth Factor (sHGF) (210.9 vs. 155.8 pg/mL, p = 0.010), lower pre-ICI soluble Fibroblast Growth Factor (sFGF) (4.0 vs. 4.8 pg/mL, p = 0.043) and lower pre-ICI interleukine-12 (IL-12) (1.3 vs. 2.2 pg/mL, p = 0.043) concentrations. Patients with early progression (n = 23) had higher pre-ICIs sHGF (206.2 vs. 155.8 pg/mL, p = 0.025) concentrations. Patients with low sHGF levels at ICIs initiation had longer progression-free survival and overall survival than those with high sHGF levels: respectively 2.5 vs. 8.0 months (p = 0.002), and 5.5 vs. 35.0 months (p = 0.001). TNF-α, IL-16, IL-12p40 and MCP3 were associated with high grade irAEs. This study shows the potential association between several plasma biomarkers with outcome and grade 3–4 IrAEs in advanced NSCLC treated with ICIs.

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 Real world data in the era of Immune Checkpoint Inhibitors (ICIs): Increasing evidence and future applications in lung cancer

2020 ◽  
Vol 87 ◽  
pp. 102031 ◽  
Author(s):  
Giulia Pasello ◽  
Alberto Pavan ◽  
Ilaria Attili ◽  
Alberto Bortolami ◽  
Laura Bonanno ◽  
...  
Keyword(s):  
Lung Cancer ◽  
Real World ◽  
Immune Checkpoint ◽  
Immune Checkpoint Inhibitors ◽  
Checkpoint Inhibitors ◽  
Real World Data ◽  
World Data

scholarly journals Novel Biomarkers of Dynamic Blood PD-L1 Expression for Immune Checkpoint Inhibitors in Advanced Non-Small-Cell Lung Cancer Patients

2021 ◽  
Vol 12 ◽  
Author(s):  
Qiao Yang ◽  
Mingjing Chen ◽  
Jiaoyang Gu ◽  
Kai Niu ◽  
Xianlan Zhao ◽  
...  
Keyword(s):  
Lung Cancer ◽  
Small Cell Lung Cancer ◽  
Cell Lung Cancer ◽  
Immune Checkpoint ◽  
Immune Checkpoint Inhibitors ◽  
Advanced Nsclc ◽  
Checkpoint Inhibitors ◽  
Small Cell ◽  
Small Cell Lung ◽  
Nsclc Patients

BackgroundImmune checkpoint inhibitors (ICIs) have become a high-profile regimen for malignancy recently. However, only a small subpopulation obtains long-term clinical benefit. How to select optimal patients by reasonable biomarkers remains a hot topic.MethodsPaired tissue samples and blood samples from 51 patients with advanced malignancies were collected for correlation analysis. Dynamic changes in blood PD-L1 (bPD-L1) expression, including PD-L1 mRNA, exosomal PD-L1 (exoPD-L1) protein and soluble PD-L1 (sPD-L1), were detected after 2 months of ICIs treatment in advanced non-small-cell lung cancer (NSCLC) patients. The best cutoff values for progression-free survival (PFS) and overall survival (OS) of all three biomarkers were calculated with R software.ResultsIn 51 cases of various malignancies, those with positive tissue PD-L1 (tPD-L1) had significantly higher PD-L1 mRNA than those with negative tPD-L1. In 40 advanced NSCLC patients, those with a fold change of PD-L1 mRNA ≥ 2.04 had better PFS, OS and best objective response (bOR) rate. In addition, a fold change of exoPD-L1 ≥ 1.86 was also found to be associated with better efficacy and OS in a cohort of 21 advanced NSCLC cases. The dynamic change of sPD-L1 was not associated with efficacy and OS. Furthermore, the combination of PD-L1 mRNA and exoPD-L1 could screen better patients for potential benefit from ICIs treatment.ConclusionThere was a positive correlation between bPD-L1 and tPD-L1 expression. Increased expression of PD-L1 mRNA, exoPD-L1, or both in early stage of ICIs treatment could serve as positive biomarkers of efficacy and OS in advanced NSCLC patients.

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