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

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...

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Detalles Bibliográficos
Autor principal: Wang, Xiaosheng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2011
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3217937/
https://www.ncbi.nlm.nih.gov/pubmed/22041030
http://dx.doi.org/10.1186/1756-0500-4-471
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author Wang, Xiaosheng
author_facet Wang, Xiaosheng
author_sort Wang, Xiaosheng
collection PubMed
description 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.
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spelling pubmed-32179372011-11-17 Computational analysis of expression of human embryonic stem cell-associated signatures in tumors Wang, Xiaosheng BMC Res Notes Research Article 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. BioMed Central 2011-10-31 /pmc/articles/PMC3217937/ /pubmed/22041030 http://dx.doi.org/10.1186/1756-0500-4-471 Text en Copyright ©2011 Wang et al; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Wang, Xiaosheng
Computational analysis of expression of human embryonic stem cell-associated signatures in tumors
title Computational analysis of expression of human embryonic stem cell-associated signatures in tumors
title_full Computational analysis of expression of human embryonic stem cell-associated signatures in tumors
title_fullStr Computational analysis of expression of human embryonic stem cell-associated signatures in tumors
title_full_unstemmed Computational analysis of expression of human embryonic stem cell-associated signatures in tumors
title_short Computational analysis of expression of human embryonic stem cell-associated signatures in tumors
title_sort computational analysis of expression of human embryonic stem cell-associated signatures in tumors
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3217937/
https://www.ncbi.nlm.nih.gov/pubmed/22041030
http://dx.doi.org/10.1186/1756-0500-4-471
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