Elevated expression of DKK1 is associated with cytoplasmic/nuclear β-catenin accumulation and poor prognosis in hepatocellular carcinomas

Bin Yu;Xinrong Yang;Yang Xu;Genfu Yao;Huiqun Shu;Biaoyang Lin;Leroy Hood;红阳 王;勇 俞;健人 顾;嘉 樊;Wenxin Qin

Fudan University;Shanghai Cancer Institute;University of Washington;Institute for Systems Biology

发表时间:2009-5

期 刊:Journal of Hepatology

语 言:English

U R L: http://www.scopus.com/inward/record.url?scp=64749106861&partnerID=8YFLogxK

摘要

Background/Aims: To assess the value of Dickkopf-1 (DKK1) for predicting clinical outcome of human hepatocellular carcinoma (HCC) in patients with HCC. Methods: Expression of DKK1 and β-catenin was investigated in HCC cell lines using qRT-PCR, Western blotting and immunofluorescence. Tissue microarrays representing 314 HCC patients were used to determine the expression patterns of DKK1 and β-catenin by immunohistochemistry, and prognostic significance was assessed by using Kaplan-Meier survival estimates and log-rank tests. Results: The expression level of DKK1 was associated with the staining pattern of β-catenin in HCC cell lines, and DKK1 overexpression correlated with β-catenin cytoplasmic/nuclear accumulation in clinical HCC samples (P = 0.011, correlation coefficient = 0.144). High DKK1 expression predicted unfavorable prognosis in HCC patients, especially in early stage patients and those with normal AFP levels. In multivariate analyses, DKK1 was an independent predictor for overall survival (OS) (P = 0.002) and disease-free survival (DFS) (P = 0.002) of HCC patients. Furthermore, the HCC patients with high DKK1 expression and cytoplasmic/nuclear β-catenin accumulation had very poor prognosis. Conclusions: Elevated expression of DKK1 is a critical event in patients with HCC that indicates poor clinical outcome. DKK1, alone or combined with β-catenin, is a novel prognostic predictor for HCC patients.

关键词

β-Catenin
DKK1
HCC
Predictor
Tumor tissue microarray

相关科学

医学
肝脏病学

被引量

期刊度量

Scopus度量

年份 CiteScore SJR SNIP
1996
1997
1998
1999 0.984 1.428
2000 1.219 1.307
2001 1.469 1.493
2002 1.489 1.55
2003 1.569 1.794
2004 1.544 1.417
2005 1.577 1.505
2006 1.931 1.638
2007 2.141 1.674
2008 2.309 1.69
2009 2.317 1.866
2010 2.927 2.141
2011 13.5 2.819 2.401
2012 13.8 3.367 2.609
2013 15.5 3.697 2.98
2014 18 4.11 3.085
2015 19.6 4.686 3.452
2016 19 5.012 2.941
2017 22.4 5.633 3.257
2018 26.6 6.274 3.669
2019 30.3 6.817 4.546
2020 33.6 7.112 5.59
2021 30.9

相似文献推荐