Document Detail


Correlations of MUC15 overexpression with clinicopathological features and prognosis of glioma.
MedLine Citation:
PMID:  24710941     Owner:  NLM     Status:  In-Data-Review    
Abstract/OtherAbstract:
The abnormal expression of MUC15, a novel cell membrane-associated mucin, has been reported to predict poor survival in several cancers. The aim of the present study was to examine the expression of MUC15 in glioma and its correlation with clinicopathological features, including the survival of patients with glioma. The mRNA expression level of MUC15 was determined by RT-PCR, quantitative RT-PCR (RT-qPCR) and Western blotting in seven normal brain tissues and seven glioma tissues, respectively. The protein expression level of MUC15 was immunohistochemically detected in paraffin-embedded samples of 317 glioma tissues and 115 noncancerous brain tissues. The association of MUC15 expression levels with the clinicopathologic features and the prognosis was analyzed. The results showed that both mRNA and protein levels of MUC15 were significantly increased in glioma as compared with those in noncancerous brain tissue. Moreover, MUC15 overexpression was positively correlated with the advanced clinical stages of glioam patients (P<0.01). Furthermore, MUC15 expression levels were significantly correlated with the progression of glioma (P<0.001). Survival analysis indicated that glioma patients with higher MUC15 expression had a significantly shorter overall and 5-year survival time than those with low MUC15 expression. Multivariate analysis suggested that MUC15 overexpression was an independent factor for prognosis (hazard risk: 3.216; P=0.009). It was concluded that MUC15 is overexpressed in glioma tissues. Its overexpression correlates with tumor progression and it is a potentially unfavorable prognostic factor for patients with glioma.
Authors:
Wen-Bing Yang; Cheng-Yan Li
Publication Detail:
Type:  Journal Article     Date:  2014-04-08
Journal Detail:
Title:  Journal of Huazhong University of Science and Technology. Medical sciences = Hua zhong ke ji da xue xue bao. Yi xue Ying De wen ban = Huazhong keji daxue xuebao. Yixue Yingdewen ban     Volume:  34     ISSN:  1672-0733     ISO Abbreviation:  J. Huazhong Univ. Sci. Technol. Med. Sci.     Publication Date:  2014 Apr 
Date Detail:
Created Date:  2014-04-08     Completed Date:  -     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  101169627     Medline TA:  J Huazhong Univ Sci Technolog Med Sci     Country:  China    
Other Details:
Languages:  eng     Pagination:  254-9     Citation Subset:  IM    
Export Citation:
APA/MLA Format     Download EndNote     Download BibTex
MeSH Terms
Descriptor/Qualifier:

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine


Previous Document:  Osteogenic differentiation of bone mesenchymal stem cells regulated by osteoblasts under EMF exposur...
Next Document:  Comparison of dose-dense ABVD and standard ABVD in the treatment of early unfavorable and advanced H...