Lung cancer : journal of the International Association for the Study of Lung Cancer
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Meta Analysis
A meta-analysis of adjuvant EGFR-TKIs for patients with resected non-small cell lung cancer.
We performed this meta-analysis to compare adjuvant EGFR-TKIs with a placebo or adjuvant chemotherapy among patients with resected non-small cell lung cancer (NSCLC). ⋯ For patients with resected NSCLC harboring EGFR mutations, treatment with an adjuvant EGFR-TKI was superior to that of a placebo or chemotherapy in terms of DFS. Treatment with adjuvant EGFR-TKIs were not effective among patients with wild type EGFR NSCLC.
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Meta Analysis
EGFR inhibitors as adjuvant therapy for resected non-small cell lung cancer harboring EGFR mutations.
Cisplatin-based chemotherapy as an adjuvant therapy for resected non-small cell lung cancer (NSCLC) has reached its plateau, and it is limited by a high risk of recurrence and significant toxicities. The clinical value of epidermal growth factor receptor (EGFR) tyrosine kinase inhibitors (TKIs) in resected NSCLC harboring EGFR mutations remains controversial. In this study, we performed a meta-analysis to evaluate the role of EGFR inhibitors as an adjuvant therapy for targeted patients. ⋯ The clinical value of epidermal growth factor receptor (EGFR) tyrosine kinase inhibitors (TKIs) in resected non-small cell lung cancer (NSCLC) harboring EGFR mutations remains controversial. This study demonstrates that EGFR-TKIs as an adjuvant therapy could prolong the DFS and potentially prolong the OS in postoperative patients. Therefore, this therapy paves the way for EGFR-TKIs to be an adjuvant treatment for NSCLC.
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Most lung cancer diagnoses occur in elderly patients, who are underrepresented in clinical trials. We present a pooled analysis of safety and efficacy in elderly patients (≥75 years) who received pembrolizumab (a programmed death 1 inhibitor) for advanced non-small-cell lung cancer (NSCLC) with programmed death ligand 1 (PD-L1)‒positive tumors. ⋯ In this pooled analysis of elderly patients with advanced NSCLC with PD-L1‒positive tumors, pembrolizumab improved OS versus chemotherapy, with a more favorable safety profile. Outcomes with pembrolizumab in patients ≥75 years were comparable to those in the overall populations in the individual studies.
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This network meta-analysis (NMA), based on 12 phase-III studies with 9,236 metastatic NSCLC patients, aims to compare the efficacy of treatments including at least one immune-checkpoint inhibitor (ICI) with or without chemotherapy, as frontline therapy for advanced NSCLC patients. The NMA includes direct randomized evidence on treatments of interest along with indirect evidence from randomized studies with chemotherapy as the common comparator. Studies were identified by searching PubMed, and the abstracts of most recent main oncology congresses. ⋯ Of note, ABC is evaluated only for OS in non-squamous patients while the pembrolizumab-monotherapy PFS benefit and the atezolizumab/chemotherapy OS benefit are probably under-estimated since most of the data stems from non-significant interim analyses of ongoing studies [KN042;IM131/132/150]. In conclusion, the addition of chemotherapy to ICIs enhanced their treatment efficacy as first-line treatment for advanced NSCLC patients. The combination of chemotherapy with either pembrolizumab or atezolizumab show consistently higher efficacy than chemotherapy-alone or any other ICI-combination or monotherapy, particularly in non-squamous patients.
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Recent reports have indicated that the objective response rate (ORR) and progression-free survival (PFS) cannot serve as surrogates for predicting overall survival (OS) in immune checkpoint inhibitor (ICI) trials. We performed a trial-based correlative analysis to evaluate conventional endpoints as surrogates for predicting OS in ICI-treated non-small cell lung cancer (NSCLC) patients. ⋯ The OR-ORR and HR-PFS could serve as surrogate endpoints for predicting the HR-OS in randomized trials using ICIs for NSCLC, while the ORR and PFS could be useful endpoints for predicting OS in trials with patient selection based on high PD-L1 expression.