Gastric cancer poses a significant global health burden, particularly in advanced human epidermal growth factor receptor 2-negative cases where prognosis remains poor despite advances in immunochemotherapy. The recent study by Yao et al introduces a nomogram model integrating programmed death ligand 1 expression, microsatellite status, tumor-node-metastasis stage, tumor differentiation, neutrophil-to-lymphocyte ratio, and C-reactive protein-albumin-lymphocyte index to predict progression-free and overall survival. This letter discusses the model's strengths, limitations, and its alignment with recent developments in biomarkers and therapies, emphasizing its potential for personalized medicine.
Nayak et al. (Mon,) studied this question.