Computational analysis of expression of human embryonic stem cell-associated signatures in tumors.

ABSTRACT:

Background

The cancer stem cell model has been proposed based on the linkage between human embryonic stem cells and human cancer cells. However, the evidences supporting the cancer stem cell model remain to be collected. In this study, we extensively examined the expression of human embryonic stem cell-associated signatures including core genes, transcription factors, pathways and microRNAs in various cancers using the computational biology approach.

Results

We used the class comparison analysis and survival analysis algorithms to identify differentially expressed genes and their associated transcription factors, pathways and microRNAs among normal vs. tumor or good prognosis vs. poor prognosis phenotypes classes based on numerous human cancer gene expression data. We found

SUBMITTER: Wang X 

PROVIDER: S-EPMC3217937 | biostudies-literature | 2011 Oct

REPOSITORIES: biostudies-literature