Literature DB >> 11894117

Expression of interleukin-10 is inversely correlated with distant metastasis of renal cell carcinoma.

Noriyasu Uwatoko1, Tetsuji Tokunaga, Hiroyuki Hatanaka, Hideo Osada, Tsutomu Kawakami, Hitoshi Yamazaki, Yoshiyuki Abe, Hiroshi Kijima, Yoshito Ueyama, Masato Nakamura.   

Abstract

Interleukin-10 (IL-10) is an immunomodulative cytokine produced by T cells, B cells, and monocytic cells. The significance of IL-10 and IL-10R expression in renal cell carcinoma (RCC) has not been well characterized. In this study, we assessed the correlation between IL-10 gene expression and its pathological significance in 44 RCC specimens. The patients with IL-10 gene expression showed a decreased incidence of metastasis compared to those without IL-10 gene expression. The expression of IL-10 was correlated with vascular endothelial growth factor (VEGF)-A gene expression. These findings suggest that IL-10 gene expression plays some roles in the metastasis of RCC.

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Year:  2002        PMID: 11894117

Source DB:  PubMed          Journal:  Int J Oncol        ISSN: 1019-6439            Impact factor:   5.650


  5 in total

1.  The IL-10 promoter haplotype and cancer risk: evidence from a meta-analysis.

Authors:  Kui Zhang; Lushun Zhang; Xianmin Wang; Lin Zhang
Journal:  Fam Cancer       Date:  2012-09       Impact factor: 2.375

Review 2.  A pooled analysis of the IL-10-1082 A/G polymorphism and the nasopharyngeal carcinoma susceptibility.

Authors:  Liping Ma; Shan Li; Yu Lu; Xiaolian Zhang; Jiangyang Zhao; Xue Qin
Journal:  Eur Arch Otorhinolaryngol       Date:  2014-12-31       Impact factor: 2.503

3.  Distinctive features of the differentiated phenotype and infiltration of tumor-reactive lymphocytes in clear cell renal cell carcinoma.

Authors:  Qiong J Wang; Ken-Ichi Hanada; Paul F Robbins; Yong F Li; James C Yang
Journal:  Cancer Res       Date:  2012-10-15       Impact factor: 12.701

4.  Associations of IL-10 genetic polymorphisms with the risk of urologic cancer: a meta-analysis based on 18,415 subjects.

Authors:  Xiaohan Shi; Xiaochuan Xie; Xiaoshuang Xun; Yingxian Jia; Shangwei Li
Journal:  Springerplus       Date:  2016-11-29

5.  Data Mining of Prognostic Microenvironment-Related Genes in Clear Cell Renal Cell Carcinoma: A Study with TCGA Database.

Authors:  Bin Chen; Wei Chen; Jing Jin; Xueping Wang; Yifang Cao; Yi He
Journal:  Dis Markers       Date:  2019-10-30       Impact factor: 3.434

  5 in total

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