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Updated: Jan 23, 2026

A Syngeneic Mouse Model of Metastatic Renal Cell Carcinoma for Quantitative and Longitudinal Assessment of Preclinical Therapies
Published on: April 12, 2017
Adjuvant therapy in renal cell carcinoma
1Cleveland Clinic Taussig Cancer Institute, Cleveland, Ohio.
Risk stratification for localized renal cell carcinoma (RCC) after surgery is crucial. This review covers clinical models, gene signatures, and adjuvant therapies, including immune checkpoint inhibitors, to improve patient outcomes.
Area of Science:
- Oncology
- Urology
- Genomics
Background:
- Localized renal cell carcinoma (RCC) carries a risk of post-nephrectomy recurrence.
- Existing clinical models predict outcomes using patient and tumor characteristics.
- Novel gene signatures offer enhanced risk prediction based on tumor biology.
Purpose of the Study:
- To review current methods for predicting renal cell carcinoma recurrence risk.
- To discuss the evolving landscape of adjuvant therapies for renal cell carcinoma.
- To highlight the potential of immune checkpoint inhibitors in the adjuvant setting.
Main Methods:
- Review of clinical risk-predictive models for renal cell carcinoma.
- Analysis of novel gene signatures for refining risk stratification.
- Evaluation of completed and ongoing clinical trials in the adjuvant setting, focusing on immune checkpoint inhibitors.
Main Results:
- Adjuvant systemic therapies targeting angiogenesis have not improved overall survival in metastatic RCC.
- Immune checkpoint inhibitors demonstrate significant antitumor activity and durable responses in metastatic RCC.
- Interest is growing in evaluating immune checkpoint inhibitors for adjuvant treatment of RCC.
Conclusions:
- Accurate risk prediction is essential for managing localized renal cell carcinoma recurrence.
- Novel gene signatures may improve upon traditional clinical models.
- Immune checkpoint inhibitors represent a promising avenue for adjuvant therapy in RCC, warranting further investigation in ongoing trials.
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