Copyright: ©Author(s) 2026.
World J Gastrointest Oncol. Sep 15, 2026; 18(9): 118614
Published online Sep 15, 2026. doi: 10.4251/wjgo.118614
Published online Sep 15, 2026. doi: 10.4251/wjgo.118614
Figure 1 Multidimensional framework for prognostic prediction in human epidermal growth factor receptor-2-negative advanced gastric cancer undergoing immunochemotherapy.
PD-L1: Programmed cell death ligand 1; MSI: Microsatellite instability; MMR: Mismatch repair; EBV: Epstein-Barr virus; ctDNA: Circulating tumor DNA; TNM: Tumor-node-metastasis; ECOG: Eastern Cooperative Oncology Group; NLR: Neutrophil-to-lymphocyte ratio; PLR: Platelet-to-lymphocyte ratio; LMR: Lymphocyte-to-monocyte ratio; PNI: Prognostic nutritional index; CALLY: C-reactive protein-albumin-lymphocyte; CRP: C-reactive protein; PD-1: Programmed cell death protein 1; AI: Artificial intelligence.
Figure 2 Current challenges and future directions of prognostic modeling in immunochemotherapy for advanced gastric cancer.
PD-L1: Programmed cell death ligand 1; IHC: Immunohistochemistry; AI: Artificial intelligence; ctDNA: Circulating tumor DNA; ML: Machine learning.
- Citation: Li MF, Du SN, Bao PT, Li YG. Multidimensional integration: A novel breakthrough in prognostic prediction for immunochemotherapy in human epidermal growth factor receptor-2-negative advanced gastric cancer. World J Gastrointest Oncol 2026; 18(9): 118614
- URL: https://www.wjgnet.com/1948-5204/full/v18/i9/118614.htm
- DOI: https://dx.doi.org/10.4251/wjgo.118614