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PMID: 22404079 Published · ppublish English Journal Article Research Support, Non-U.S. Gov't

Low expression of RECK indicates a shorter survival for patients with invasive breast cancer.

Cancer science ·Vol. 103 ·No. 6 ·2012-06-00 ·Pages 1084-9

Zhang Y, Cheng S, Zhang G, Ma W, Liu Y, Zhao R, Zhang Q, Pang D

Abstract

Expression cloning was used to initially isolate the reversion-inducing cysteine-rich protein with Kazal motifs (RECK) gene as a suppressor of transformation. The gene was found to encode a membrane-anchored regulator of MMPs. Experimental studies showed that RECK can suppress tumor invasion, metastasis, and angiogenesis. However, the clinical impact of RECK remains unclear. To assess the clinical significance of RECK expression in invasive breast cancer, a total of 119 patients with invasive breast cancer were retrospectively examined. Expression of RECK in tumor tissues was assessed by immunohistochemical staining. A significant correlation between RECK expression and 5-year survival rate was documented. The 5-year survival rate for patients with strong RECK expression was significantly higher than that for patients with weakly expressing tumors. Univariate and multivariate analyses confirmed that reduced RECK expression was an independent and significant factor in predicting a poor prognosis. In conclusion, RECK expression is a significant prognostic factor correlated with long-term survival for patients with invasive breast cancer. RECK expression is therefore a potentially useful prognostic marker for breast cancer.

MeSH Terms
Adult Aged Biomarkers, Tumor/metabolism Breast Neoplasms/metabolism,mortality,pathology Female GPI-Linked Proteins/genetics,metabolism Gene Expression Regulation, Neoplastic Humans Kaplan-Meier Estimate Matrix Metalloproteinase 2/metabolism Matrix Metalloproteinase 9/metabolism Middle Aged Neoplasm Invasiveness Prognosis Receptor, ErbB-2/metabolism Survival Rate
Chemicals
Biomarkers, Tumor GPI-Linked Proteins RECK protein, human ERBB2 protein, human Receptor, ErbB-2 Matrix Metalloproteinase 2 Matrix Metalloproteinase 9
Authors & Affiliations
8 authors, click to expand affiliations / ORCID
Zhang Yue
Department of Medical Oncology, The Third Affiliated Hospital of Harbin Medical University, Harbin, China.
Cheng Shaoqiang
Zhang Guoqiang
Ma Wenjie
Liu Yang
Zhao Rui
Zhang Qingyuan
Pang Da
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Article Info
Journal
Cancer science
Abbr.
Cancer Sci
ISSN
1349-7006
Published
2012-06-00
Epub
2012-00-19
Pages
1084-9
Language
English
Region
England
NLM ID
101168776
PMCID
PMC7685079
Subset
IM
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