Prognostic factors in renal cell carcinoma

Area of Science:

• Oncology
• Medical Prognostics

Background:

• Renal cell carcinoma (RCC) exhibits significant heterogeneity, impacting patient prognosis.
• Precise risk assessment is vital for patient counseling, surveillance, and treatment planning.

Purpose of the Study:

• To review prognostic factors and predictive models for localized and metastatic renal cell carcinoma (RCC).
• To highlight the need for updated prognostic tools in the era of targeted therapies.

Main Methods:

• Systematic literature review of prognostic factors in localized and metastatic RCC.
• Analysis of established and emerging prognostic models.

Main Results:

• Prognostic factors include anatomical (TNM, size), histological (Fuhrman grade, subtype), and clinical (symptoms, performance status) features.
• Models like UCLA UISS and Mayo SSIGN are used for localized RCC; French Group and Motzer models for metastatic RCC response to immunotherapy.
• Current models require adaptation for targeted therapies in metastatic RCC.

Conclusions:

• Prognostic models combining multiple factors enhance predictive accuracy for RCC.
• These models are valuable for patient management and clinical trial design.
• Further research integrating molecular features may improve current prognostic models.