scholarly journals Neutrophil-to-Lymphocyte Ratio Predicts Pathological Renal Sinus Fat Invasion in Renal Cell Carcinomas of ≤7 cm with Presumed Renal Sinus Fat Invasion

2019 ◽  
Vol 60 (11) ◽  
pp. 1021
Author(s):  
Jongchan Kim ◽  
Jee Soo Park ◽  
Ji Eun Heo ◽  
Ahmed Elghiaty ◽  
Won Sik Jang ◽  
...  
2019 ◽  
Vol 34 (1) ◽  
pp. 15-19 ◽  
Author(s):  
Selahattin Çalışkan

Introduction: Renal cell carcinoma is the most common malignancy of the kidney, which accounts 85% of all renal tumors. In recent years, the incidence of renal cell carcinoma was increased due to the widespread use of imaging techniques. The aim of this study is to investigate the clinical significance of pretreatment neutrophil to lymphocyte and platelet to lymphocyte ratios in patients with renal cell carcinomas. Methods: The patients who underwent nephrectomy for renal tumor between 2010 and 2018 in two centers were reviewed retrospectively. The age, sex, complete blood test, and pathological results were recorded. The patients who were diagnosed with other carcinomas, benign renal tumors, and missing data of age, complete blood test, and pathological results, were excluded. The patients were divided into two groups according to the T stage and Fuhrman grade, T1-2 and T3-4, G1-2 and G3-4. Results: There were 271 patients in the current study. The male to female ratio was 1.97 and the mean age of the patients was 59.37±11.62 years. Clear cell renal cell carcinoma was the most common subtype in 72.7% of the patients. Both the neutrophil to lymphocyte ratio and the platelet to lymphocyte ratio were significantly higher in patients with high-grade and advanced-stage disease than in the others. The receiver operating characteristic curve showed no significant difference between platelet to lymphocyte ratio and neutrophil to lymphocyte ratio to diagnose the high grade and stage of renal cell carcinoma. Conclusion: The neutrophil to lymphocyte and platelet to lymphocyte ratios are easily accessible biomarkers which are used for the prognosis of malignancy. The current study found that these biomarkers may predict the pathological results during the preoperative period.


2008 ◽  
Vol 179 (4S) ◽  
pp. 333-333
Author(s):  
Stephen A Poon ◽  
Joshua R Gonzalez ◽  
Alana M Murphy ◽  
Carl A Olsson ◽  
Mitchell C Benson ◽  
...  

2015 ◽  
Vol 33 (7_suppl) ◽  
pp. 404-404 ◽  
Author(s):  
Nimira S. Alimohamed ◽  
Arnoud J. Templeton ◽  
Jennifer J. Knox ◽  
Xun Lin ◽  
Ronit Simantov ◽  
...  

404 Background: The neutrophil to lymphocyte ratio (NLR) is a marker of inflammation. We evaluated whether NLR is independently prognostic when adjusted for the International mRCC Database Consortium (IMDC) model and evaluated change in NLR ("NLR conversion") as a predictive marker of response to targeted therapy. Methods: A total of 5,227 metastatic renal cell carcinoma (mRCC) patients treated with targeted therapy were included; 1,199 patients in the training cohort from the IMDC and 4028 patients as the validation cohort from pooled prospective randomized controlled trials involving targeted therapy. NLR was examined at initiation of first-line targeted therapy and at 6 weeks after. The prognostic role of NLR and NLR conversion on overall survival (OS) and progression free survival (PFS) was assessed using Cox regression models adjusting for IMDC prognostic score. Results: Median baseline NLR was 3.4 and 2.9 in the training and validation cohorts, respectively. NLR >3.0 at baseline was independently associated with OS and PFS in both the training and validation cohorts (Table). A decrease in NLR by week 6 was associated with longer OS (21.1 vs. 9.7 months; HR 0.57, p<0.001), PFS (8.8 vs. 4.6 months; HR 0.54, p<0.001), and higher objective response rates (35% vs. 13%, p<0.001) compared to patients without a decrease. A rise in NLR showed opposite effects for all three endpoints. These findings were also confirmed in the validation set. Conclusions: NLR is an independent prognostic factor after controlling for IMDC criteria. NLR conversion can be an early biomarker of benefit to targeted therapy. [Table: see text]


PLoS ONE ◽  
2016 ◽  
Vol 11 (2) ◽  
pp. e0149420 ◽  
Author(s):  
Zhiling Zhang ◽  
Chunping Yu ◽  
Liliya Velet ◽  
Yonghong Li ◽  
Lijuan Jiang ◽  
...  

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