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Construction of a disulfidptosis-related glycolysis gene risk model to predict the prognosis and immune infiltration analysis of gastric adenocarcinoma.

Zhaohui LiaoZhengyuan Xie
Published in: Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico (2024)
The risk model developed in this work has significant clinical value in predicting the impact of immunotherapy in STAD patients and assisting in the choice of chemotherapeutic medicines. It can correctly estimate the prognosis of STAD patients.
Keyphrases
  • end stage renal disease
  • newly diagnosed
  • ejection fraction
  • chronic kidney disease
  • peritoneal dialysis
  • squamous cell carcinoma
  • prognostic factors
  • patient reported outcomes
  • dna methylation
  • locally advanced