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

Authors

Xiaosheng Wang, University of Nebraska Medical CenterFollow

Document Type

Article

Journal Title

BMC Research Notes

Publication Date

10-31-2011

Volume

4

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 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.

DOI Link

10.1186/1756-0500-4-471

ISSN

1756-0500

Rights

This work is licensed under a Creative Commons Attribution 2.0 License.

Recommended Citation

Wang, Xiaosheng, "Computational analysis of expression of human embryonic stem cell-associated signatures in tumors." (2011). Journal Articles: Genetics, Cell Biology & Anatomy. 12.
https://digitalcommons.unmc.edu/com_gcba_articles/12