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Modeling Spontaneous Metastatic Renal Cell Carcinoma mRCC in Mice Following Nephrectomy
Published on: April 29, 2014
Deferred Cytoreductive Nephrectomy in Unresectable/Metastatic Renal Cell Carcinoma: A Real-World Multicenter
Ryuma Tanaka1, Masanao Shinohara2, Yohei Kawashima2
1Department of Urology, Hirosaki University Graduate School of Medicine, Hirosaki, Japan.
Deferred cytoreductive nephrectomy (dCN) in metastatic renal cell carcinoma (mRCC) is feasible and linked to better survival outcomes. A significant portion of patients achieved durable disease control, suggesting potential for treatment-free survival.
Area of Science:
- Oncology
- Surgical Oncology
- Nephrology
Background:
- The role of cytoreductive nephrectomy (CN) in metastatic renal cell carcinoma (mRCC) is debated amidst advancements in systemic therapies.
- Evaluating deferred CN (dCN) provides insights into its real-world application and patient outcomes.
Purpose of the Study:
- To determine the proportion of patients with mRCC who undergo dCN.
- To assess the oncological outcomes, including disease-free survival (DFS) and overall survival (OS), associated with dCN.
Main Methods:
- Retrospective review of 278 eligible mRCC patients treated with first-line tyrosine kinase inhibitors (TKIs) or immune-oncology (IO) combinations.
- Patients were categorized into dCN and non-nephrectomy groups.
- Propensity score-matching and multivariable time-dependent Cox regression analyses were employed to compare outcomes.
Main Results:
- Approximately 20.9% of patients underwent dCN after a median of 6.6 months of systemic therapy.
- In the matched cohort, dCN was significantly associated with improved DFS (HR 0.38) and OS (HR 0.19).
- Perioperative complications were observed in 27.6% of dCN patients, with no grade 4-5 events; 34.5% achieved treatment-free disease control.
Conclusions:
- Deferred CN is a feasible approach in selected mRCC patients, correlating with prolonged survival.
- Further prospective trials are necessary to validate the role of dCN and optimize patient selection criteria.
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