Yonsei Med J.  2012 Sep;53(5):940-943.

Prognostic Significance of Perirenal Infiltration in Renal Cell Carcinoma (<7 cm)

Affiliations
  • 1Department of Urology, Good Munwha Hospital, Busan, Korea.
  • 2Department of Urology, Inje University Busan Paik Hospital, Busan, Korea. prosdoc@hanmail.net
  • 3Department of Radiation Oncology, Inje University Busan Paik Hospital, Busan, Korea.

Abstract

PURPOSE
Pathologic stage is the most accurate prognostic factor of renal cell carcinoma. We evaluated whether perirenal fat infiltration is a significant factor in tumors 7 cm or less in size.
MATERIALS AND METHODS
We retrospectively reviewed the record of 164 cases of tumors 7 cm or less in size. We divided the patients into two groups according to the presence of perirenal fat infiltration (group A, pT1; group B, pT3a). We evaluated relationships, recurrence-free survival and disease-specific survival according to clinicopathologic parameters. Statistical differences were calculated by log-rank test.
RESULTS
A total 131 patients were included in group A, with a mean age of 55.8 years, average tumor size was 4.2 cm, and a mean follow-up period of 43 months. Group B included 33 patients, with a mean age of 55.9 years, an average tumor size of 4.1 cm, and a mean follow-up period of 38 months. There was no significant difference in disease-specific survival; however, recurrence-free survival showed significantly different between two groups (group A: 95.5%, group B: 84.4%).
CONCLUSION
In this study, perirenal fat infiltration proved to be an independent prognostic factor for predicting disease-free survival in patients with tumors of 7 cm or less in size. Therefore, as this study showed, the presence of perirenal fat infiltration requires stricter follow-up planning, even in small renal cell carcinoma.

Keyword

Carcinoma; renal cell; adipose tissue; neoplasm invasiveness; prognosis

MeSH Terms

Adipose Tissue
Carcinoma, Renal Cell*
Disease-Free Survival
Follow-Up Studies
Humans
Neoplasm Invasiveness
Prognosis
Retrospective Studies

Figure

  • Fig. 1 Kaplan-Meier estimated cancer specific survival.

  • Fig. 2 Kaplan-Meier estimated recurrence-free survival.


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