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Comparing oncologic outcomes of partial and radical nephrectomy for T2 renal cell carcinoma: a propensity score matching cohort study and an external multicenter validation

  • 0Department of Urology, Zhongda Hospital Southeast University, Nanjing, China.
World Journal of Urology +

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March 12, 2025

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March 12, 2025

View abstract on PubMed

Summary

This summary is machine-generated.

Partial nephrectomy (PN) offers better overall survival than radical nephrectomy (RN) for T2 renal cell carcinoma (RCC). This is especially true for T2a stage patients aged 60 or younger, but high-volume centers are recommended for PN.

Area Of Science

  • Urology
  • Oncology
  • Surgical Oncology

Background

  • Limited evidence exists for optimal surgical treatment of larger T2 renal tumors.
  • Renal cell carcinoma (RCC) staging is critical for treatment decisions.

Purpose Of The Study

  • To evaluate and compare the oncologic outcomes of partial nephrectomy (PN) versus radical nephrectomy (RN) for T2 stage RCC.
  • To determine the survival benefits of PN compared to RN in T2 RCC patients.

Main Methods

  • Retrospective analysis of T2 RCC patients from the SEER database (2004-2019) and Chinese multicenter data (2014-2019).
  • Propensity score matching was used to balance patient cohorts.
  • Kaplan-Meier survival analysis and multivariate Cox regression assessed treatment effects.

Main Results

  • Partial nephrectomy (PN) was associated with higher overall survival (OS) compared to radical nephrectomy (RN) in the overall cohort, males, and patients ≤60 years.
  • Multivariate analysis confirmed PN's OS benefit in all patients (HR=1.476) and the T2a subgroup aged ≤60 years (HR=2.147).

Conclusions

  • Partial nephrectomy (PN) is a viable and potentially superior treatment option for T2 renal cell carcinoma (RCC).
  • PN demonstrates a significant survival advantage, particularly in T2a stage patients aged 60 years or younger.
  • Referral to high-volume centers is advised for patients undergoing PN for T2 tumors to ensure optimal outcomes.

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