Global Cancer Map: Finding cancer biomarkers for drug discovery

Motivation

• Most previous researches on cancer biomarker focused on individual genes related to cancer.
• However, deregulation of pathways causally linked to cancer, not individual genes.
• Pathway level analysis desirable

Goal of this project

• Identify deregulated pathways in each types of cancer via meta-analysis of massive microarray data.

Method & Results

• Analyzed data from 87 microarray datasets consisting of 5,126 samples spanning 25 different types of cancer.
• Identified 212 KEGG pathways, 578 protein families and 1,717 gene ontology terms that are statistically significant (p<0.01), and deregulated in cancer.