Copyright: ©Author(s) 2026.
World J Gastrointest Oncol. Nov 15, 2026; 18(11): 120353
Published online Nov 15, 2026. doi: 10.4251/wjgo.120353
Published online Nov 15, 2026. doi: 10.4251/wjgo.120353
Figure 1 Multimodal artificial intelligence-based solutions for predicting response to programmed death-ligand 1 inhibitors in advanced gastric cancer.
This figure illustrates multimodal artificial intelligence-based solutions for predicting personalized responses to programmed death-ligand 1 inhibitors in advanced gastric cancer. The framework integrates diverse data types, including circulating immune cell populations, standard biomarkers (programmed death-ligand 1, combined positive score, and microsatellite instability status), computed tomography-based radiomics, and whole-slide images. PD-L1: Programmed death-ligand 1; CPS: Combined positive score; MSI: Microsatellite instability; EBV: Epstein-Barr virus; WSI: Whole-slide images; CT: Computed tomography.
- Citation: Bouayad A. Dynamic programmed death-ligand 1 and multimodal biomarkers in gastric cancer immunotherapy. World J Gastrointest Oncol 2026; 18(11): 120353
- URL: https://www.wjgnet.com/1948-5204/full/v18/i11/120353.htm
- DOI: https://dx.doi.org/10.4251/wjgo.120353