Cancer - Kidney(구연) Oral Session 7 / Cancer - Kidney (Ⅰ) (O-068) Rm.201 10월 30일(수) 16:00-17:00 T3aN0M0 신장암의 이질적인 종양학적 예후를 예측하는 인자들에 대한 분석 연세의대 신촌세브란스병원 김준, 하지수, 오경택, 윤민지, 한웅규, 나준채 Introduction: The prognosis of T3a kidney cancer is heterogenous and there has been controversy whether factors such as tumor size, location of fat invasion, and presence of renal vein invasion impact oncological outcomes. In this study we analyzed the risk factors predicting oncological outcome of T3aN0M0 kidney cancer Methods: Patients who underwent radical nephrectomy for T3aN0M0 kidney cancer from Jan, 2006 to Dec, 2015 were included in the study. Data on age, gender, tumor size, location of fat invasion, renal vein invasion and thrombosis, surgical margin, histologic grade, presence of lymphovascular invasion and cause of death, recurrence on follow-up were collected. Results: 153 patients were included in the study. Location of EFI was not a significant factor predicting CSS or RFS. Presence of RVI did not predict worse outcome compared to EFI. Coexisting EFI and RVI was associated with worse RFS (HR 2.05 (1.14~3.70), p=0.017), but not for CSS. Tumor size larger than 5cm was associated with worse CSS (HR 3.93 (1.38~11.20), p=0.01) and RFS (HR 4.52 (1.91~10.72), p=0.001). Tumor size and coexisting EFI and RVI were entered into multivariate regression analysis along with gender and Fuhrman grade which were also significant factors on univariate analysis. On multivariate analysis tumor size >5cm was a significant factor associated with CSS (HR 5.45 (1.26~23.6), p=0.023) and RFS (HR 4.60 (1.60~13.20), p=0.005). High Fuhrman grade was associated with worse RFS and coexistence of EFI and RVI was not a significant factor. Conclusion: Among the factors known to be associated with oncological outcome of T3aN0M0 kidney cancer, location of EFI was not a significant factor and coexistence of EFI and RVI may be associated with worse RFS but was not a significant factor on multivariate analysis. Only tumor size was a significant factor associated with CSS and RFS on multivariate analysis. keywords : Kidney cancer, T3a disease, Risk factor