Lymph Node Density as an Independent Prognostic Factor in Node-Positive Renal-Cell Carcinoma: Results From the Surveillance, Epidemiology, and End Results Program

2019 ◽  
Vol 17 (5) ◽  
pp. e968-e980 ◽  
Author(s):  
Xinyang Liao ◽  
Shi Qiu ◽  
Xiaonan Zheng ◽  
Jianzhong Ai ◽  
Xi Jin ◽  
...  
Keyword(s):  
Renal Cell Carcinoma ◽  
Lymph Node ◽  
Prognostic Factor ◽  
Cell Carcinoma ◽  
Renal Cell ◽  
Independent Prognostic Factor ◽  
Node Density ◽  
Lymph Node Density ◽  
Node Positive ◽  
End Results

1801 IMPACT OF LYMPH NODE DENSITY ON CANCER-SPECIFIC SURVIVAL IN PATIENTS WITH NODE-POSITIVE RENAL CELL CARCINOMA

2010 ◽  
Vol 183 (4S) ◽  
Author(s):  
Marco Roscigno ◽  
Elena Strada ◽  
Giovanni Petralia ◽  
Francesco Sozzi ◽  
Carlo Terrone ◽  
...  
Keyword(s):  
Renal Cell Carcinoma ◽  
Lymph Node ◽  
Cell Carcinoma ◽  
Renal Cell ◽  
Node Density ◽  
Cancer Specific Survival ◽  
Lymph Node Density ◽  
Node Positive

IMPACT OF LYMPH NODE DENSITY ON CANCER-SPECIFIC SURVIVAL IN PATIENTS WITH NODE-POSITIVE RENAL CELL CARCINOMA

2009 ◽  
Vol 181 (4S) ◽  
pp. 250-250
Author(s):  
Marco Roscigno ◽  
Roberto Bertini ◽  
Elena Strada ◽  
Giovanni Petralia ◽  
Francesco Sozzi ◽  
...  
Keyword(s):  
Renal Cell Carcinoma ◽  
Lymph Node ◽  
Cell Carcinoma ◽  
Renal Cell ◽  
Node Density ◽  
Cancer Specific Survival ◽  
Lymph Node Density ◽  
Node Positive

Lymph node density as an independent prognostic factor in node-positive patients with tonsillar cancer

Head & Neck ◽  
2015 ◽  
Vol 38 (S1) ◽  
pp. E705-E711 ◽  
Author(s):  
Jun-Ook Park ◽  
Young-Hoon Joo ◽  
Kwang-Jae Cho ◽  
Min-Sik Kim
Keyword(s):  
Lymph Node ◽  
Prognostic Factor ◽  
Independent Prognostic Factor ◽  
Node Density ◽  
Lymph Node Density ◽  
Tonsillar Cancer ◽  
Node Positive

Hilar Location is an Independent Prognostic Factor for Recurrence in T1 Renal Cell Carcinoma After Nephrectomy

2014 ◽  
Vol 22 (1) ◽  
pp. 344-350 ◽  
Author(s):  
Myungsun Shim ◽  
Cheryn Song ◽  
Sejun Park ◽  
Aram Kim ◽  
Seung-Kwon Choi ◽  
...  
Keyword(s):  
Renal Cell Carcinoma ◽  
Prognostic Factor ◽  
Cell Carcinoma ◽  
Renal Cell ◽  
Independent Prognostic Factor

Preoperative serum cholesterol is an independent prognostic factor for patients with renal cell carcinoma (RCC)

2014 ◽  
Vol 115 (3) ◽  
pp. 397-404 ◽  
Author(s):  
Michela de Martino ◽  
Carmen V. Leitner ◽  
Christoph Seemann ◽  
Sebastian L. Hofbauer ◽  
Ilaria Lucca ◽  
...  
Keyword(s):  
Renal Cell Carcinoma ◽  
Prognostic Factor ◽  
Cell Carcinoma ◽  
Serum Cholesterol ◽  
Renal Cell ◽  
Independent Prognostic Factor ◽  
Preoperative Serum

Can Systemic Immune-Inflammation Index Create a New Perspective for the IMDC Scoring System in Patients with Metastatic Renal Cell Carcinoma?

2021 ◽  
pp. 1-8
Author(s):  
Fatma Bugdayci Basal ◽  
Cengiz Karacin ◽  
Irem Bilgetekin ◽  
Omur Berna Oksuzoglu
Keyword(s):  
Renal Cell Carcinoma ◽  
Prognostic Factor ◽  
Regression Model ◽  
Cell Carcinoma ◽  
Metastatic Renal Cell Carcinoma ◽  
Renal Cell ◽  
Cox Regression ◽  
Independent Prognostic Factor ◽  
Cox Regression Model ◽  
Kaplan Meier

Introduction: The aim of the study was to evaluate impact of the systemic immune-inflammation index (SII) on prognosis and survival within the International Metastatic Renal Cell Carcinoma Database Consortium (IMDC) score groups. Methods: The records of 187 patients with metastatic renal cell carcinoma (RCC) were reviewed retrospectively. The SII was calculated as follows: SII = Neutrophil × Platelet/Lymphocyte. The patients were categorized into 2 groups based on a median SII of 730 (×109 per 1 L) as SII low (<730) and SII high (≥730). The Kaplan-Meier method was used for survival analysis and a Cox regression model was utilized to determine independent predictors of survival. Results: The median age was 61 years (range: 34–86 years). Kaplan-Meier tests revealed significant differences in survival between the SII-low and SII-high levels (27.0 vs. 12.0 months, respectively, p < 0.001). The Cox regression model revealed that SII was an independent prognostic factor. The implementation of the log-rank test in the IMDC groups according to the SII level provided the distinction of survival in the favorable group (SII low 49.0 months vs. SII high 11.0 months, p < 0.001), in the intermediate group (SII low 26.0 vs. SII high 15.0 months, p = 0.007), and in the poor group (SII low 19.0 vs. SII high 6.0 months, p = 0.019). Conclusion: The SII was an independent prognostic factor and provided significant differences in survival for the favorable, intermediate, and poor IMDC groups. Thus, the SII added to the IMDC score may be clinically beneficial in predicting survival.

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