
Faculty, Staff and Student Publications
Publication Date
6-8-2023
Journal
Current Oncology
Abstract
Health Canada approved pembrolizumab in the first-line setting for advanced non-small-cell lung cancer with PD-L1 ≥ 50% and no EGFR/ALK aberration. The keynote 024 trial showed 55% of such patients progress with pembrolizumab monotherapy. We propose that the combination of baseline CT and clinical factors can help identify those patients who may progress. In 138 eligible patients from our institution, we retrospectively collected their baseline variables, including baseline CT findings (primary lung tumor size and metastatic site), smoking pack years, performance status, tumor pathology, and demographics. The treatment response was assessed via RECIST 1.1 using the baseline and first follow-up CT. Associations between the baseline variables and progressive disease (PD) were tested by logistic regression analyses. The results showed 46/138 patients had PD. The baseline CT "number of involved organs" by metastasis and smoking pack years were independently associated with PD (p < 0.05), and the ROC analysis showed a good performance of the model that integrated these variables in predicting PD (AUC: 0.79). This pilot study suggests that the combination of baseline CT disease and smoking PY can identify who may progress on pembrolizumab monotherapy and can potentially facilitate decision-making for the optimal first-line treatment in the high PD-L1 cohort.
Keywords
Humans, B7-H1 Antigen, Carcinoma, Non-Small-Cell Lung, Disease Progression, Lung Neoplasms, Pilot Projects, Retrospective Studies, Smoking, Tomography, X-Ray Computed, non-small-cell lung cancer, baseline CT, smoking pack years, pembrolizumab, tumor response, survival, PDL1
DOI
10.3390/curroncol30060419
PMID
37366902
PMCID
PMC10297400
PubMedCentral® Posted Date
6-8-2023
PubMedCentral® Full Text Version
Post-print
Published Open-Access
yes
Included in
Bioinformatics Commons, Biomedical Informatics Commons, Genetic Phenomena Commons, Medical Genetics Commons, Oncology Commons