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PMID: 19064576 已发表 · ppublish 英语

DJ-1 could predict worse prognosis in esophageal squamous cell carcinoma.

Yuen Hiu-Fung, Chan Yuen-Piu, Law Simon, Srivastava Gopesh, El-Tanani Mohamed, Mak Tak-Wah, Chan Kwok-Wah

摘要

Recent studies have revealed an oncogenic role of DJ-1 through its ability to transform normal cells, prevent oxidative damage, and inhibit apoptosis. However, its role in esophageal squamous cell carcinoma (ESCC) is unknown. In this study, by immunohistochemistry, we analyzed the expression of DJ-1 in 81 ESCC tumors, 31 paired nonneoplastic esophageal epithelia, and 19 paired ESCC lymph node metastases. We found that cytoplasmic DJ-1 expression was significantly higher in ESCC and ESCC lymph node metastases than in nonneoplastic esophageal epithelium. ESCC specimens with high distant metastatic potential also had a significantly higher level of nuclear DJ-1 expression (P = 0.018). By Kaplan-Meier analysis, we found that a high level of nuclear DJ-1 was significantly associated with poorer patient survival in our cohort (P = 0.028). To investigate whether DJ-1 promotes ESCC progression through phosphatidylinositol 3-kinase pathway and modulation of apoptosis, we performed immunohistochemistry of pAkt and Daxx. We found that DJ-1 expression was significantly associated with pAkt, whereas nuclear DJ-1 expression was significantly correlated with nuclear expression of Daxx. These results suggest that phosphatidylinositol 3-kinase pathway and Daxx-regulated apoptosis might be important in DJ-1-mediated ESCC progression. By using multivariate Cox regression, we further showed that T(4) stage (P = 0.003) and DJ-1 (P = 0.034) are independent predictors of patient survival. In conclusion, our results suggest that DJ-1 plays a very important role in transformation and progression of ESCC and may be used as a prognostic marker in ESCC.

文献信息
期刊
Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology
期刊简称
Cancer Epidemiol Biomarkers Prev
发表日期
2009-01-27
收录日期
2008-12-09
更新日期
2016-11-24
语言
英语
国家/地区
United States
NLM ID
9200608
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