MP54-20 OVERALL SURVIVAL AND RENAL FUNCTION OF PARTIAL AND RADICAL NEPHRECTOMY AMONG OLDER PATIENTS WITH LOCALIZED RENAL CELL CARCINOMA: MULTICENTER STUDY

604 Background: We performed a long-term follow-up study to evaluate the survival and metastatic outcomes of non-metastatic renal cell carcinoma (RCC) after curative removal of tumor. Methods: We retrospectively reviewed the clinical and pathological features of 5434 patients with localized renal cell carcinoma admitted to five Korean tertiary-care institutions between 2000 and 2012, who had undergone curative surgeries with partial or radical nephrectomy with/without lymph nodal dissection. The patients below the age of 19 years (N=9) with benign histology (N=24), and with no follow-up records (N=540) were excluded. A total of 4861 patients, followed-up for at least 1 year after the surgery, were enrolled finally. The deaths were defined as intraoperative, postoperative or RCC-related deaths. We analyzed the metastasis-free survival, cancer-specific survival, and overall survival outcomes according to the pathological stages. Results: The median age of patients at the time of surgery, male-to-female ratios, median follow-up duration, overall survival and metastasis-free survival times were 56 years (range: 19-94 years), 3471/1390 (71.4%/28.6%), 33.7 months (range: 12-297 months), 175.1 months (12-297.1 months), and 61 months (range: 12-94 months), respectively. A total of 518 (10.7%) deaths, including 338 (7.0%) RCC-related death and 164 (3.3%) deaths related to other causes were reported. Metastasis and recurrences were observed in 140 (2.9%) and 462 (9.5%) patients, respectively. The respective pathologic T1/2/3/4/x and N1 stages, namely, 3757/389/644/57/6 (77.3/8.0/13.3/1.2/0.1%) and 133 (2.7%) were observed. The rates of histological types of clear cell papillary/ chromophobe/ collecting duct/ unclassified/ MLCRCCLMP/ mixed cell papillary/ unknown were 83.4%/ 1.5%/ 7.1%/ 0.4%/ 1.1%/ 0.5%/ 0.2%/ 0.3%/ 0.1%/ 5.3%. The 10-year metastasis-free survival rate was 86.0% including 100%, 91.0%, 64.1%, and 11.8% incidence for stages I, II, III, and IV, respectively. Conclusions: The long-term survival was seen among patients who underwent nephrectomy for non-metastatic renal cell carcinoma.

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Effects of metabolic syndrome on renal function after radical nephrectomy in patients with renal cell carcinoma

International Urology and Nephrology ◽

10.1007/s11255-020-02759-6 ◽

2021 ◽

Author(s):

Yong Zhang ◽

Tingkun Wu ◽

Jingjing Xie ◽

Liqun Yan ◽

Xiuli Guo ◽

...

Keyword(s):

Metabolic Syndrome ◽

Renal Cell Carcinoma ◽

Renal Function ◽

Cell Carcinoma ◽

Renal Cell ◽

Radical Nephrectomy

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Overall Survival Prediction in Renal Cell Carcinoma Patients Using Computed Tomography Radiomic and Clinical Information

Journal of Digital Imaging ◽

10.1007/s10278-021-00500-y ◽

2021 ◽

Author(s):

Zahra Khodabakhshi ◽

Mehdi Amini ◽

Shayan Mostafaei ◽

Atlas Haddadi Avval ◽

Mostafa Nazari ◽

...

Keyword(s):

Renal Cell Carcinoma ◽

Overall Survival ◽

Cell Carcinoma ◽

Clinical Features ◽

Renal Cell ◽

Radical Nephrectomy ◽

Clinical Information ◽

Tumor Grade ◽

Imaging Biomarkers ◽

Area Density

AbstractThe aim of this work is to investigate the applicability of radiomic features alone and in combination with clinical information for the prediction of renal cell carcinoma (RCC) patients’ overall survival after partial or radical nephrectomy. Clinical studies of 210 RCC patients from The Cancer Imaging Archive (TCIA) who underwent either partial or radical nephrectomy were included in this study. Regions of interest (ROIs) were manually defined on CT images. A total of 225 radiomic features were extracted and analyzed along with the 59 clinical features. An elastic net penalized Cox regression was used for feature selection. Accelerated failure time (AFT) with the shared frailty model was used to determine the effects of the selected features on the overall survival time. Eleven radiomic and twelve clinical features were selected based on their non-zero coefficients. Tumor grade, tumor malignancy, and pathology t-stage were the most significant predictors of overall survival (OS) among the clinical features (p < 0.002, < 0.02, and < 0.018, respectively). The most significant predictors of OS among the selected radiomic features were flatness, area density, and median (p < 0.02, < 0.02, and < 0.05, respectively). Along with important clinical features, such as tumor heterogeneity and tumor grade, imaging biomarkers such as tumor flatness, area density, and median are significantly correlated with OS of RCC patients.

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