UCLA Integrated Staging System for Renal Cell Carcinoma (RCC)

UCLA Integrated Staging System (UISS) for RCC

UCLA Integrated Staging System (UISS) Calculator for RCC

This calculator uses AJCC 1997 TNM stage, Fuhrman nuclear grade, and ECOG performance status to assign a UISS category (I–V), determine localized vs metastatic status, and estimate projected 5-year survival.
UISS category

Projected 5-year survival:

Localized / metastatic status:

Risk level:

How this was assigned

    The UCLA Integrated Staging System (UISS) is a clinical prognostic model used to predict the survival of patients with Renal Cell Carcinoma (RCC). While the standard TNM (Tumor, Node, Metastasis) system provides a baseline for staging, the UISS improves accuracy by integrating surgical staging with a patient’s functional status and the microscopic characteristics of the tumor.

    Developed by researchers at the University of California, Los Angeles, it remains one of the most widely used tools for risk-stratifying RCC patients after surgery.


    1. The Core Components of UISS

    The UISS is unique because it combines three distinct data points to create a comprehensive risk profile:

    1. TNM Stage: The traditional anatomical extent of the tumor.
    2. Fuhrman Grade: A pathological grading system (1–4) based on the microscopic appearance of cancer cells (nuclear size and shape).
    3. ECOG Performance Status (PS): A clinical scale (0–4) used to assess a patient’s level of functioning in terms of self-care and physical activity.

    2. Risk Stratification Models

    The UISS categorizes patients into three risk groups: Low, Intermediate, and High. Because the prognosis for localized disease differs significantly from metastatic disease, the system provides two separate models.

    A. Non-Metastatic (N0M0) Patients

    For patients where the cancer has not spread, the UISS predicts the 5-year disease-specific survival (DSS):

    Risk GroupClinical/Pathological Profile5-Year Survival (%)
    LowT1, Low Grade (1-2), ECOG 0~92%
    IntermediateT1-T2, High Grade OR T3, Low Grade, ECOG 0~67%
    HighT3, High Grade OR T4, Any Grade, Any ECOG~44%

    B. Metastatic (M1) Patients

    For patients where the cancer has spread at the time of diagnosis, the UISS predicts 3-year disease-specific survival (DSS):

    Risk GroupClinical/Pathological Profile3-Year Survival (%)
    LowECOG 0 and Low Grade~39%
    IntermediateECOG 0 and High Grade OR ECOG 1+ and Low Grade~20%
    HighECOG 1+ and High Grade~7%

    3. Clinical Utility and Significance

    The UISS is highly valued in urologic oncology for several reasons:

    • Individualized Prognosis: Unlike the TNM system alone, the UISS accounts for the patient’s overall health (ECOG), which is a massive driver of survival in kidney cancer.
    • Adjuvant Trial Selection: It helps clinicians identify “high-risk” patients who might benefit most from adjuvant therapies (treatments given after surgery to prevent recurrence).
    • Simple Implementation: Since it relies on standard pathology reports and a quick bedside assessment of the patient’s activity level, it is easy to use in routine clinical practice.

    Note: While the Fuhrman grade was a staple of the original UISS, many modern pathology reports now use the WHO/ISUP grading system. Most experts consider these systems interchangeable when applying the UISS model.


    4. References

    1. Zisman A, et al. (2001). The UCLA Integrated Staging System: a new prognostic tool for patients with renal cell carcinoma. Cancer, 91(12), 2271-2276.
    2. Zisman A, et al. (2002). Improved prognostic staging of renal cell carcinoma utilizing a combined anatomic and performance status model. Analytical and Quantitative Cytology and Histology, 24(1), 35-40.
    3. Patard JJ, et al. (2004). Use of the University of California Los Angeles integrated staging system to predict survival in renal cell carcinoma: an international multicenter study. Journal of Clinical Oncology, 22(16), 3316-3322.
    4. Kim HL, et al. (2004). Using the UCLA Integrated Staging System to Predict Outcomes for Patients with Renal Cell Carcinoma. Reviews in Urology, 6(3), 107–113.

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