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Updated: Jan 27, 2026

Modeling Spontaneous Metastatic Renal Cell Carcinoma mRCC in Mice Following Nephrectomy
Published on: April 29, 2014
Immune infiltration in renal cell carcinoma
Shichao Zhang1,2, Erdong Zhang3, Jinhua Long4
1Immune Cells and Antibody Engineering Research Center of Guizhou Province/Key Laboratory of Biology and Medical Engineering, Guizhou Medical University, Guiyang, China.
Tumor-infiltrating immune cells (TIICs) impact renal cell carcinoma (RCC) outcomes. Specific immune cells like CD8+ T cells, regulatory T cells, and M1/M2 macrophages show distinct prognostic value in different RCC subtypes, guiding immunotherapy development.
Area of Science:
- Oncology
- Immunology
- Genomics
Background:
- Immune cell infiltration in tumors significantly influences clinical outcomes in renal cell carcinoma (RCC).
- Tumor-infiltrating immune cells (TIICs) play a crucial role in cancer progression and represent potential therapeutic targets.
- Understanding the composition and prognostic significance of TIICs is vital for advancing RCC treatment strategies.
Purpose of the Study:
- To comprehensively analyze the composition of TIICs in RCC.
- To determine the independent prognostic value of various TIICs in different RCC subtypes.
- To identify potential biomarkers and therapeutic targets for RCC immunotherapy.
Main Methods:
- Utilized the CIBERSORT algorithm to quantify proportions of 22 immune cell types from gene expression profiles of 891 RCC tumors.
- Employed Cox regression analysis to assess the association between TIIC proportions and immune checkpoint modulators with overall survival (OS).
- Stratified analysis was performed across different RCC subtypes: chromophobe carcinoma (KICH), renal clear cell carcinoma (KIRC), and renal papillary cell carcinoma (KIRP).
Main Results:
- CD8+ T cells correlated with prolonged OS in KICH (HR=0.09, P=0.03).
- Increased regulatory T cells were linked to worse outcomes in KIRC (HR=1.59, P<0.01).
- M1 macrophages indicated favorable prognosis, while M2 macrophages predicted worse outcomes in KIRP (HR=0.43, P<0.01 and HR=2.55, P<0.01, respectively).
- Immune checkpoint molecules CTLA4 and LAG3 were associated with poor prognosis in KIRC, while IDO1 and PD-L2 showed similar associations in KIRP.
Conclusions:
- TIICs are significant determinants of prognosis across various subtypes of RCC.
- Specific immune cell populations and their proportions offer prognostic insights.
- Findings highlight potential immune-related biomarkers and therapeutic targets for personalized immunotherapy in RCC.
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