Please use this identifier to cite or link to this item: https://doi.org/10.1016/j.compbiolchem.2007.06.001
Title: Molecular gene expression signature patterns for gastric cancer diagnosis
Authors: Yap, Y.L.
Zhang, X.W.
Smith, D.
Soong, R. 
Hill, J.
Keywords: Cancer detection
Carcinogenesis
Gastroenterology
Oncogene
Survival prediction
Issue Date: Aug-2007
Citation: Yap, Y.L., Zhang, X.W., Smith, D., Soong, R., Hill, J. (2007-08). Molecular gene expression signature patterns for gastric cancer diagnosis. Computational Biology and Chemistry 31 (4) : 275-287. ScholarBank@NUS Repository. https://doi.org/10.1016/j.compbiolchem.2007.06.001
Abstract: 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. © 2007 Elsevier Ltd. All rights reserved.
Source Title: Computational Biology and Chemistry
URI: http://scholarbank.nus.edu.sg/handle/10635/109470
ISSN: 14769271
DOI: 10.1016/j.compbiolchem.2007.06.001
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