| Literature DB >> 21499820 |
Chao Cai1, Fu-neng Jiang, Yu-xiang Liang, Hui-chan He, Zhao-dong Han, Qi-shan Dai, Guo-qiang Qin, Jia-hong Chen, Xi-bin Chen, Yan-ru Chen, Guo-hua Zeng, Jian-guo Zhu, Wei-de Zhong.
Abstract
Nuclear factor-κB (NF-κB) is controlled by the classical and alternative NF-κB pathways, the role of which in prostate cancer (PCa) is not clearly defined. To provide this missing translational link, we compared the classical and alternative NF-κB pathways in normal prostate, benign prostate hyperplasia (BPH) and PCa. Prostate specimens were divided into three groups: group A, PCa (n = 68); group B, BPH (n = 60); and group C, normal prostates (n = 15). The gene expression levels of NF-κB1 and NF-κB2 were determined by real-time quantitative RT-PCR. Additionally, we analyzed the expression and sub-cellular localization of phosphorylated P50 (p-P50) and phosphorylated P52 (p-P52) proteins by immunohistochemical staining. Furthermore, associations were made between NF-κB pathway proteins and patients' prognosis. Compared with BPH and normal prostate tissues, the expression of NF-κB1 gene was differentially down-regulated by >1.5-fold, whereas NF-κB2 gene was differentially up-regulated by >2-fold in PCa tissues. The proportion of p-P50 positive patients in group A (26.5%) was significantly lower than in group B (88.3%, p = 0.005) and C (100%, p = 0.002). The proportion of p-P52 positive patients in group A (42.6%) was significantly higher than in group B (11.7%, p = 0.009) and C (6.7%, p = 0.008). Comparison of the survival curves in group A according to p-P52 expression showed a significant difference between positive and negative patients. The p-P52 positive patients showed worse prognosis (p = 0.019). Our findings suggest for the first time that the classical and alternative NF-κB pathways have an important role in PCa. p-P52 might be a predictor of poor prognosis for PCa.Entities:
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Year: 2011 PMID: 21499820 DOI: 10.1007/s12253-011-9396-5
Source DB: PubMed Journal: Pathol Oncol Res ISSN: 1219-4956 Impact factor: 3.201