Background: We aimed to examine cemiplimab, a programmed cell death 1 inhibitor, in the first-line treatment of advanced non-small-cell lung cancer with programmed cell death ligand 1 (PD-L1) of at least 50%.
Methods: In EMPOWER-Lung 1, a multicentre, open-label, global, phase 3 study, eligible patients recruited in 138 clinics from 24 countries (aged ≥18 years with histologically or cytologically confirmed advanced non-small-cell lung cancer, an Eastern Cooperative Oncology Group performance status of 0-1; never-smokers were ineligible) were randomly assigned (1:1) to cemiplimab 350 mg every 3 weeks or platinum-doublet chemotherapy. Crossover from chemotherapy to cemiplimab was allowed following disease progression. Primary endpoints were overall survival and progression-free survival per masked independent review committee. Primary endpoints were assessed in the intention-to-treat population and in a prespecified PD-L1 of at least 50% population (per US Food and Drug Administration request to the sponsor), which consisted of patients with PD-L1 of at least 50% per 22C3 assay done according to instructions for use. Adverse events were assessed in all patients who received at least one dose of the assigned treatment. This study is registered with ClinicalTrials.gov, NCT03088540 and is ongoing.
Findings: Between June 27, 2017 and Feb 27, 2020, 710 patients were randomly assigned (intention-to-treat population). In the PD-L1 of at least 50% population, which consisted of 563 patients, median overall survival was not reached (95% CI 17·9-not evaluable) with cemiplimab (n=283) versus 14·2 months (11·2-17·5) with chemotherapy (n=280; hazard ratio [HR] 0·57 [0·42-0·77]; p=0·0002). Median progression-free survival was 8·2 months (6·1-8·8) with cemiplimab versus 5·7 months (4·5-6·2) with chemotherapy (HR 0·54 [0·43-0·68]; p<0·0001). Significant improvements in overall survival and progression-free survival were also observed with cemiplimab in the intention-to-treat population despite a high crossover rate (74%). Grade 3-4 treatment-emergent adverse events occurred in 98 (28%) of 355 patients treated with cemiplimab and 135 (39%) of 342 patients treated with chemotherapy.
Interpretation: Cemiplimab monotherapy significantly improved overall survival and progression-free survival compared with chemotherapy in patients with advanced non-small-cell lung cancer with PD-L1 of at least 50%, providing a potential new treatment option for this patient population.
Funding: Regeneron Pharmaceuticals and Sanofi.
Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.1016/S0140-6736(21)00228-2 | DOI Listing |
Oral Oncol
January 2025
Value and Implementation, Outcomes Research, Merck & Co., Inc., 126 East Lincoln Avenue, Rahway, NJ 07065, USA.
Background: Pembrolizumab with/without platinum + 5-FU is approved for the first-line (1L) treatment of R/M HNSCC, and its monotherapy use requires PD-L1 Combined Positive Score (CPS) ≥ 1. We aimed to understand PD-L1 testing patterns and associations with patient characteristics and treatment choice in R/M HNSCC.
Methods: Adults with R/M HNSCC initiating 1L systemic therapy were included from a U.
Can J Surg
January 2025
From the Faculty of Medicine, Dalhousie University, Halifax, N.S. (Huo); the Department of Primary Education, School of Education, University of Ioannina, Ioannina, Greece (Kontouli); the Department of Diagnostic Radiology, Dalhousie University, Halifax, N.S. (Manos); the Department of Pathology, Dalhousie University, Halifax, N.S. (Xu, Fris); the Department of Urology, Dalhousie University, Halifax, N.S. (Chun); the Division of Thoracic Surgery, Department of Surgery, Dalhousie University, Halifax, N.S. (Wallace, French)
Background: There is a need to expand eligibility criteria for lung cancer screening beyond age and smoking history. In this study, we sought to assess whether light-or-never-smokers and heavy smokers differ in molecular and immunologic markers based on conventional lung cancer screening criteria.
Methods: We conducted a retrospective review of lung cancer cases from 2005 to 2018 at a tertiary Canadian institution.
J Food Drug Anal
December 2024
Department of Clinical Pharmacy, School of Pharmacy, College of Pharmacy, Taipei Medical University, Taipei, Taiwan.
This study was aimed to evaluate the cost-effectiveness of pembrolizumab with chemotherapy (pembrolizumab combination therapy) and compare it with standard-of-care platinum-based chemotherapy (chemotherapy alone) as a first-line treatment for metastatic nonsquamous NSCLC from the perspective of Taiwan's third-party-payer public health-care system. We used a partitioned survival model with an estimated time horizon of 10 years. The partitioned survival model uses Kaplan-Meier estimates of progression-free and overall survival from the KEYNOTE-189 clinical trial.
View Article and Find Full Text PDFLung Cancer
December 2024
Università Vita-Salute San Raffaele, Milan, Italy; Department of Medical Oncology, IRCCS Ospedale San Raffaele, Milan, Italy.
Background: Artificial intelligence (AI) models are emerging as promising tools to identify predictive features among data coming from health records. Their application in clinical routine is still challenging, due to technical limits and to explainability issues in this specific setting. Response to standard first-line immunotherapy (ICI) in metastatic Non-Small-Cell Lung Cancer (NSCLC) is an interesting population for machine learning (ML), since up to 30% of patients do not benefit.
View Article and Find Full Text PDFJCO Clin Cancer Inform
January 2025
Emory University School of Medicine, Atlanta, GA.
Purpose: Immune checkpoint inhibitors (ICIs) have demonstrated promise in the treatment of various cancers. Single-drug ICI therapy (immuno-oncology [IO] monotherapy) that targets PD-L1 is the standard of care in patients with advanced non-small cell lung cancer (NSCLC) with PD-L1 expression ≥50%. We sought to find out if a machine learning (ML) algorithm can perform better as a predictive biomarker than PD-L1 alone.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!