Journal article

Identification of discriminators of hepatoma by gene expression profiling using a minimal dataset approach

SY Neo, CK Leow, VB Vega, PM Long, AFM Islam, PBS Lai, ET Liu, EC Ren

HEPATOLOGY | WILEY | Published : 2004

Abstract

The severity of hepatocellular carcinoma (HCC) and the lack of good diagnostic markers and treatment strategies have rendered the disease a major challenge. Previous microarray analyses of HCC were restricted to the selected tissue sample sets without validation on an independent series of tissue samples. We describe an approach to the identification of a composite discriminator cassette by intersecting different microarray datasets. We studied the global transcriptional profiles of matched HCC tumor and nontumor liver samples from 37 patients using cDNA (cDNA) microarrays. Application of nonparametric Wilcoxon statistical analyses (P < 1 x 10(-6)) and the criteria of 1.5-fold differential g..

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