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Can I read Molecular Gene Expression Signature Patterns for Gastric Cancer Diagnosis on EtoBox?

Molecular Gene Expression Signature Patterns for Gastric Cancer Diagnosis by Yee Leng Yap; Xue Wu Zhang; David Smith; Richie Soong; Jeffrey Hill is a Biochemistry, Genetics and Molecular Biology article available to read on EtoBox.

What is Molecular Gene Expression Signature Patterns for Gastric Cancer Diagnosis about?

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.

Who reads Molecular Gene Expression Signature Patterns for Gastric Cancer Diagnosis?

It is typically read by researchers, students, and practitioners in Biochemistry, Genetics and Molecular Biology.

Author
Yee Leng Yap; Xue Wu Zhang; David Smith; Richie Soong; Jeffrey Hill
Publisher
Elsevier Science; Elsevier ; Elsevier Ltd.; Elsevier BV (ISSN 1476-9271)
Published
2007
Language
EN
Field
Biochemistry, Genetics and Molecular Biology (Life Sciences)