Multi-institutional analysis of localized renal cell carcinoma that demonstrates the impact of diabetic status on prognosis after nephrectomy

Yun Sok Ha, Won Tae Kim, Seok Joong Yun, Sang Cheol Lee, Wun Jae Kim, Yong Hyun Park, Seok Ho Kang, Sung Hoo Hong, Seok Soo Byun, Yong June Kim

Research output: Contribution to journalArticlepeer-review

24 Citations (Scopus)

Abstract

Background: The purpose of our study was to determine whether preoperative diabetes mellitus (DM) can predict the prognosis of localized clear-cell renal cell carcinoma (RCC). Methods: At five institutes, 2,597 patients with pT1 and pT2 clear-cell RCC were enrolled. Univariate and multivariable analyses were performed to determine factors that associated with recurrence-free survival (RFS), cancer-specific survival (CSS), and overall survival (OS). To identify the effect of DM on survival after recurrence, a subgroup of 127 patients who had recurrences was analyzed. Results: In total, 357 patients had DM. Compared with patients without DM, these patients were older, more likely to be male, and had a higher body mass index, lower GFR, and higher incidence of hypertension. Kaplan-Meier curves showed that patients with DM had a significantly worse rate of RFS, CSS, and OS than patients without DM (log-rank test, all P < 0.05). Multivariate analysis revealed that DM was an independent prognostic factor in terms of RFS, CSS, and OS. In the subgroup analysis of 127 patients with recurrence, DM was associated with a lower survival rate after the initial recurrence. Conclusions: DM appeared to be an important determinant of prognosis in clear-cell localized RCC, especially in patients experiencing recurrence.

Original languageEnglish
Pages (from-to)3662-3668
Number of pages7
JournalAnnals of Surgical Oncology
Volume20
Issue number11
DOIs
Publication statusPublished - 2013 Oct

ASJC Scopus subject areas

  • Surgery
  • Oncology

Fingerprint Dive into the research topics of 'Multi-institutional analysis of localized renal cell carcinoma that demonstrates the impact of diabetic status on prognosis after nephrectomy'. Together they form a unique fingerprint.

Cite this