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Cited by in CrossRef
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 ReviewInternational 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 cancerFrontiers 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 cancerGenes & 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 CancerAdvances 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 studyFrontiers in Oncology 2024; 13 doi: 10.3389/fonc.2023.1282042