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A Syngeneic Mouse Model of Metastatic Renal Cell Carcinoma for Quantitative and Longitudinal Assessment of Preclinical Therapies
Published on: April 12, 2017
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A model based on immunogenic cell death-related genes predicts prognosis and response to immunotherapy in kidney
Pei Dong1, Lincong Zhao2, Lianmei Zhao3
1Department of Clinical Laboratory, The Fourth Hospital of Hebei Medical University, Shijiazhuang, China.
Translational Cancer Research
|February 27, 2024
Summary
A new risk model using five immunogenic cell death (ICD)-related genes can predict prognosis in kidney renal clear cell carcinoma (KIRC) patients. This model also reflects the tumor immune microenvironment, aiding personalized treatment and immunotherapy development.
Area of Science:
- Oncology
- Immunology
- Genomics
Background:
- Kidney renal clear cell carcinoma (KIRC) has a poor prognosis.
- Immunogenic cell death (ICD) plays a role in tumorigenesis, but its specific role in KIRC is not well understood.
Purpose of the Study:
- To investigate the role of ICD-related genes in KIRC prognosis.
- To develop a prognostic risk model (RM) for KIRC patients based on ICD-related genes.
Main Methods:
- Examined expression of 34 ICD-related genes in TCGA data.
- Identified prognostic signature genes using Cox regression and built a risk model.
- Analyzed Gene Ontology, Kyoto Encyclopedia of Genes and Genomes, and immune microenvironment (IME).
Main Results:
- Developed a KIRC RM using five ICD-related genes (FOXP3, IFNB1, IL6, LY96, TLR4).
- The RM demonstrated reliable prognostic prediction with an AUC of 0.735 (TCGA) and 0.732 (ICGC) for 3-year survival.
- The RM correlated with the tumor IME.
Conclusions:
- A novel RM based on five ICD-related genes accurately predicts KIRC patient prognosis.
- This RM reflects the tumor IME and can guide individualized treatments.
- The findings suggest potential novel therapeutic targets for KIRC immunotherapy.
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