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Analysis of the Heterogeneity of the Tumor Microenvironment and the Prognosis and Immunotherapy Response of Different Immune Subtypes in Hepatocellular Carcinoma.

Jian HuFeifei MaoLifang LiXiaoqian WangDepei CaiLongmei HeQian WuCong WangNing ZhangYanfen MaXia WuKai QuXiaoqin Wang
Published in: Journal of oncology (2022)
The tumor gene expression characteristics of patients with hepatocellular carcinoma can be used as a basis for clinical patient classification. Different immune subtypes are closely related to survival prognosis. Different immune cell states of patients may lead to different disease risk levels. All these provide important references for the clinical identification and prognosis prediction of hepatocellular carcinoma.
Keyphrases
  • gene expression
  • end stage renal disease
  • newly diagnosed
  • ejection fraction
  • machine learning
  • chronic kidney disease
  • dna methylation
  • prognostic factors
  • deep learning
  • single cell
  • drug induced