INTERLEUKIN-4 PROMOTER POLYMORPHISMS: A GENETIC PROGNOSTIC FACTOR FOR SURVIVAL IN METASTATIC RENAL CELL CARCINOMA

2008 ◽  
Vol 7 (3) ◽  
pp. 96
Author(s):  
C. Gassner ◽  
T. Kleinrath ◽  
R. Ramoner ◽  
G. Bartsch ◽  
P. Lackner ◽  
...  
2008 ◽  
Vol 179 (4S) ◽  
pp. 475-475
Author(s):  
Reinhold E Ramoner ◽  
Thomas Kleinrath ◽  
Georg Bartsch ◽  
Peter Lackner ◽  
Claudia E Falkensammer ◽  
...  

2007 ◽  
Vol 95 (4) ◽  
pp. 317-323 ◽  
Author(s):  
Cheol Kwak ◽  
Yong Hyun Park ◽  
Chang Wook Jeong ◽  
Hyeon Jeong ◽  
Sang Eun Lee ◽  
...  

2007 ◽  
Vol 25 (7) ◽  
pp. 845-851 ◽  
Author(s):  
Thomas Kleinrath ◽  
Christoph Gassner ◽  
Peter Lackner ◽  
Martin Thurnher ◽  
Reinhold Ramoner

Purpose Renal cell carcinoma (RCC) is considered a cytokine-responsive tumor. The clinical course of a patient may thus be influenced by the patient's capacity to produce distinct cytokines. Therefore, cytokine gene polymorphisms in RCC patients were analyzed to determine haplotype combinations with prognostic significance. Patients and Methods A selection of 21 single nucleotide polymorphisms within the promoter regions of 13 cytokine genes were analyzed in a cross-sectional single-center study of 80 metastatic RCC patients. Univariate and multivariate analyses and the Cox forward-stepwise regression model were chosen to assess genetic risk factors. Results Multivariate Cox regression analysis confirmed by a bootstrap technique identified the heterozygous IL4 genotype −589T−33T/−589C−33C as an independent prognostic risk factor (risk ratio, 3.1; P < .01; 95% CI, 1.4 to 6.9; adjusted for age, sex, and nuclear grading) in metastatic RCC patients. IL4 haplotype −589T−33T and −589C−33C were found with a frequency of 0.069 and 0.925, respectively, which represents a two-fold decrease of IL4 haplotype −589T−33T (P < .01) and an increase of IL4 haplotype −589C−33C frequency (P < .05) in metastatic RCC compared with other white reference study populations. The median overall survival was decreased 3.5-fold (P < .05) in heterozygote patients carrying IL4 haplotype −589T−33T and −589C−33C (3.78 months) compared with patients homozygote for IL4 haplotype −589C−33C (13.44 months). In addition, a linkage disequilibrium between the IL4 gene and the KIF3A gene was detected. Conclusion Our findings indicate that IL4 promoter variants influence prognosis in patients with metastatic RCC and suggest that genetically determined interleukin-4 (IL-4) production affects the clinical course of the disease possibly through regulation of immune surveillance.


2015 ◽  
Vol 67 (5) ◽  
pp. 952-958 ◽  
Author(s):  
Viktor Grünwald ◽  
Rana R. McKay ◽  
Katherine M. Krajewski ◽  
Daniel Kalanovic ◽  
Xun Lin ◽  
...  

2019 ◽  
Vol 49 (11) ◽  
pp. 1067-1067
Author(s):  
Haruki Kume ◽  
Yukio Homma ◽  
Nobuo Shinohara ◽  
Wataru Obara ◽  
Tsunenori Kondo ◽  
...  

2021 ◽  
pp. 1-8
Author(s):  
Fatma Bugdayci Basal ◽  
Cengiz Karacin ◽  
Irem Bilgetekin ◽  
Omur Berna Oksuzoglu

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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