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Microarray expression data for tumor and adjacent non-tumor tissues from hepatocellular carcinoma patients

GSE76427 Homo sapiens Expression profiling by array 167 samples Submitted 2017/05/26 Platform GPL10558
Summary
Here we aimed to develop a new molecular prognostic stratification system for hepatocellular carcinoma (HCC) patients after liver resection based on common prognostic factors for primary tumors (PTs) and adjacent non-tumor tissues (ANTTs). We studied global mRNA expression profiles from 115 PT tissue samples and 52 ANTT samples derived from 115 HCC patients. Methods for the study included gene expression analysis, Functional Annotation/Gene Ontology analysis and unsupervised survival prognosis approach based on Cox hazards prognosis model. This study provides a practical prognostic system for reliable identification of the high-risk HCC patients subgroup with clearly described deregulated molecular machinery in both PTs and ANTTs.
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Also filed as BioProject PRJNA307262. Searching any of these in the dataset finder brings you back here.

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