Prediction of Disease Progression to Upfront Pembrolizumab Monotherapy in Advanced Non-Small-Cell Lung Cancer with High PD-L1 Expression Using Baseline CT Disease Quantification and Smoking Pack Years.
Ali SilverCheryl HoQian YeJianjun ZhangIan JanzenJessica LiMontgomery MartinLang WuYing WangStephen LamCalum MacAulayBarbara L MeloskyRen YuanPublished in: Current oncology (Toronto, Ont.) (2023)
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.
Keyphrases
- advanced non small cell lung cancer
- end stage renal disease
- epidermal growth factor receptor
- computed tomography
- image quality
- ejection fraction
- chronic kidney disease
- dual energy
- newly diagnosed
- healthcare
- small cell lung cancer
- squamous cell carcinoma
- positron emission tomography
- prognostic factors
- decision making
- multiple sclerosis
- public health
- magnetic resonance imaging
- magnetic resonance
- randomized controlled trial
- combination therapy
- study protocol
- risk assessment
- climate change
- social media
- health information
- human health