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Comparing Metastatic Clear Cell Renal Cell Carcinoma Model Established in Mouse Kidney and on Chicken Chorioallantoic Membrane
Published on: February 8, 2020
Different clinicopathological features between patients who developed early and late recurrence following surgery for
Yoichi Fujii1, Masaomi Ikeda, Kazuhiro Kurosawa
1Department of Urology, Toranomon Hospital, 2-2-2 Toranomon, Minato-Ku, Tokyo, 105-8470, Japan.
Background:
To evaluate the clinicopathological features and identify predictive factors in patients with early and late recurrence following initial surgery for localized renal cell carcinoma.
Methods:
From April 1988 to January 2013, 486 patients without metastases at the initial diagnosis underwent either radical nephrectomy or partial nephrectomy and were followed up thereafter. Patients were divided into 3 groups; no recurrence, early recurrence (recurrence within 5 years), and late recurrence (recurrence after 5 years). Cancer-specific survival after recurrence was analyzed by using the Kaplan-Meier method. Multivariate logistic regression analysis was applied to define clinical and pathological factors correlated to early and late recurrence following surgery.
Results:
Seventy-seven (15.8 %) and 18 (3.7 %) patients developed early and late recurrence, respectively. In multivariate logistic regression analysis, positive symptoms at diagnosis, ≥pT2, positive lymphovascular invasion, and grade 3 were independent predictive factors for early recurrence. Age at surgery and ≥pT2 were significantly correlated to late recurrence. The 5-year cancer-specific survival rate after recurrence was 72.4 and 52.9 % in the late and the early recurrence groups, respectively (P = 0.044).
Conclusions:
The risk factors for clinical recurrence differed according to the time that had elapsed between initial surgery and the first metastasis in patients with localized renal cell carcinoma. Our study showed age at initial surgery and the pT stage were independent predictive factors for late recurrence. Further investigation of a larger number of patients is required to predict which patients may develop recurrence in the future and to choose appropriate treatment.
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