Molecular gene expression signature patterns for gastric cancer diagnosis.
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.
Yap
Yee Leng
YL
Bioinformatics Institute (BII), 30 Biopolis Street, #07-01, Matrix, Singapore 138671, Singapore. daniely@bii.a-star.edu.sg
Zhang
Xue Wu
XW
Smith
David
D
Soong
Richie
R
Hill
Jeffrey
J
D018450:Disease Progression; D015870:Gene Expression; D006801:Humans; D011379:Prognosis; D012333:RNA, Messenger / Q000235:genetics; D012680:Sensitivity and Specificity; D013274:Stomach Neoplasms / Q000175:diagnosis* / Q000235:genetics* / Q000473:pathology
D012333:RNA, Messenger