Document Detail

Molecular gene expression signature patterns for gastric cancer diagnosis.
MedLine Citation:
PMID:  17631416     Owner:  NLM     Status:  MEDLINE    
It is an accepted clinical practice to diagnose gastric cancer by using histological techniques on tissue obtained through endoscopic biopsy. However, the use of these techniques often results in difficulty distinguishing between benign and malignant growth due to the ambiguous nature of some of the morphological features observed. In order to improve this situation, public domain gene expression data has been analysed and a set of molecular gene expression signatures has been discovered that distinguishes between normal and malignant growth. In addition, a separate distinct gene expression signature has been identified that appears to aid in the prognosis and indicate survival rates of patients. It is proposed that the use of the molecular gene expression signatures described in this manuscript when used in conjunction with the traditional histological techniques already in clinical practice will enhance and improve the diagnosis of gastric cancer.
Yee Leng Yap; Xue Wu Zhang; David Smith; Richie Soong; Jeffrey Hill
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Publication Detail:
Type:  Journal Article; Research Support, Non-U.S. Gov't     Date:  2007-06-13
Journal Detail:
Title:  Computational biology and chemistry     Volume:  31     ISSN:  1476-9271     ISO Abbreviation:  Comput Biol Chem     Publication Date:  2007 Aug 
Date Detail:
Created Date:  2007-07-30     Completed Date:  2007-10-12     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  101157394     Medline TA:  Comput Biol Chem     Country:  England    
Other Details:
Languages:  eng     Pagination:  275-87     Citation Subset:  IM    
Bioinformatics Institute (BII), 30 Biopolis Street, #07-01, Matrix, Singapore 138671, Singapore.
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MeSH Terms
Disease Progression
Gene Expression*
RNA, Messenger / genetics
Sensitivity and Specificity
Stomach Neoplasms / diagnosis*,  genetics*,  pathology
Reg. No./Substance:
0/RNA, Messenger

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

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