For: | Leowattana W, Leowattana P, Leowattana T. Immunotherapy for advanced gastric cancer. World J Methodol 2023; 13(3): 79-97 [PMID: 37456977 DOI: 10.5662/wjm.v13.i3.79] |
---|---|
URL: | https://www.wjgnet.com/1007-9327/full/v13/i3/79.htm |
Number | Citing Articles |
1 |
Agata Poniewierska-Baran, Karolina Sobolak, Paulina Niedźwiedzka-Rystwej, Paulina Plewa, Andrzej Pawlik. Immunotherapy Based on Immune Checkpoint Molecules and Immune Checkpoint Inhibitors in Gastric Cancer–Narrative Review. International Journal of Molecular Sciences 2024; 25(12): 6471 doi: 10.3390/ijms25126471
|
2 |
Dan-qi Wang, Wen-huan Xu, Xiao-wei Cheng, Lei Hua, Xiao-song Ge, Li Liu, Xiang Gao. Interpretable machine learning for predicting the response duration to Sintilimab plus chemotherapy in patients with advanced gastric or gastroesophageal junction cancer. Frontiers in Immunology 2024; 15 doi: 10.3389/fimmu.2024.1407632
|
3 |
Guoliang Zhang, Guojun Xia, Chunxu Zhang, Shaodong Li, Huangen Wang, Difeng Zheng. Combined single cell and spatial transcriptome analysis reveals cellular heterogeneity of hedgehog pathway in gastric cancer. Genes & Immunity 2024; doi: 10.1038/s41435-024-00297-0
|
4 |
静如 王. Research Progress of Immune Checkpoint Inhibitors in the Treatment of Advanced Gastric Cancer. Advances in Clinical Medicine 2023; 13(10): 16191 doi: 10.12677/ACM.2023.13102264
|
5 |
Tong Lu, Miao Lu, Haonan Liu, Daqing Song, Zhengzheng Wang, Yahui Guo, Yu Fang, Qi Chen, Tao Li. Establishment of a prognostic model for gastric cancer patients who underwent radical gastrectomy using machine learning: a two-center study. Frontiers in Oncology 2024; 13 doi: 10.3389/fonc.2023.1282042
|