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

X Wang - BMC research notes, 2011 - Springer
X Wang
BMC research notes, 2011Springer
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 …
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 that most of the human embryonic stem cell- associated signatures were frequently identified in the analysis, suggesting a strong linkage between human embryonic stem cells and cancer cells.
Conclusions
The present study revealed the close linkage between the human embryonic stem cell associated gene expression profiles and cancer-associated gene expression profiles, and therefore offered an indirect support for the cancer stem cell theory. However, many interest issues remain to be addressed further.
Springer