An artificial intelligence method to assess the tumor microenvironment with treatment outcomes for gastric cancer patients after gastrectomy

An artificial intelligence method to assess the tumor microenvironment with treatment outcomes for gastric cancer patients after gastrectomy

Abstract Background The tumor microenvironment (TME) plays an important role in the occurrence and development of gastric cancer (GC) and is widely used to assess the treatment outcomes of GC patients. Immunohistochemistry (IHC) and gene sequencing are the main analysis methods for the TME but are l...

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Bibliographic Details
Main Authors: Tao Chen, Xunjun Li, Qingyi Mao, Yiyun Wang, Hanyi Li, Chen Wang, Yuyang Shen, Erjia Guo, Qinglie He, Jie Tian, Mansheng Zhu, Jing Wu, Weiqi Liang, Hao Liu, Jiang Yu, Guoxin Li
Format: Article
Language:English
Published: BMC 2022-02-01
Series:Journal of Translational Medicine
Subjects:
Gastric cancer (GC)
Tumor microenvironment (TME)
ImmunoScore (IS)
Radiomic ImmunoScore (RIS)
Artificial intelligence (AI)
Online Access:https://doi.org/10.1186/s12967-022-03298-7

Internet

https://doi.org/10.1186/s12967-022-03298-7

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