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A Comparative Analysis of Gene-Expression Data of Multiple Cancer Types
A comparative study of public gene-expression data of seven types of cancers (breast, colon, kidney, lung, pancreatic, prostate and stomach cancers) was conducted with the aim of deriving marker genes, along with associated pathways, that are either common to multiple types of cancers or specific to...
Autores principales: | , , , , , |
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Formato: | Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2010
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2965162/ https://www.ncbi.nlm.nih.gov/pubmed/21060876 http://dx.doi.org/10.1371/journal.pone.0013696 |
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author | Xu, Kun Cui, Juan Olman, Victor Yang, Qing Puett, David Xu, Ying |
author_facet | Xu, Kun Cui, Juan Olman, Victor Yang, Qing Puett, David Xu, Ying |
author_sort | Xu, Kun |
collection | PubMed |
description | A comparative study of public gene-expression data of seven types of cancers (breast, colon, kidney, lung, pancreatic, prostate and stomach cancers) was conducted with the aim of deriving marker genes, along with associated pathways, that are either common to multiple types of cancers or specific to individual cancers. The analysis results indicate that (a) each of the seven cancer types can be distinguished from its corresponding control tissue based on the expression patterns of a small number of genes, e.g., 2, 3 or 4; (b) the expression patterns of some genes can distinguish multiple cancer types from their corresponding control tissues, potentially serving as general markers for all or some groups of cancers; (c) the proteins encoded by some of these genes are predicted to be blood secretory, thus providing potential cancer markers in blood; (d) the numbers of differentially expressed genes across different cancer types in comparison with their control tissues correlate well with the five-year survival rates associated with the individual cancers; and (e) some metabolic and signaling pathways are abnormally activated or deactivated across all cancer types, while other pathways are more specific to certain cancers or groups of cancers. The novel findings of this study offer considerable insight into these seven cancer types and have the potential to provide exciting new directions for diagnostic and therapeutic development. |
format | Text |
id | pubmed-2965162 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2010 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-29651622010-11-08 A Comparative Analysis of Gene-Expression Data of Multiple Cancer Types Xu, Kun Cui, Juan Olman, Victor Yang, Qing Puett, David Xu, Ying PLoS One Research Article A comparative study of public gene-expression data of seven types of cancers (breast, colon, kidney, lung, pancreatic, prostate and stomach cancers) was conducted with the aim of deriving marker genes, along with associated pathways, that are either common to multiple types of cancers or specific to individual cancers. The analysis results indicate that (a) each of the seven cancer types can be distinguished from its corresponding control tissue based on the expression patterns of a small number of genes, e.g., 2, 3 or 4; (b) the expression patterns of some genes can distinguish multiple cancer types from their corresponding control tissues, potentially serving as general markers for all or some groups of cancers; (c) the proteins encoded by some of these genes are predicted to be blood secretory, thus providing potential cancer markers in blood; (d) the numbers of differentially expressed genes across different cancer types in comparison with their control tissues correlate well with the five-year survival rates associated with the individual cancers; and (e) some metabolic and signaling pathways are abnormally activated or deactivated across all cancer types, while other pathways are more specific to certain cancers or groups of cancers. The novel findings of this study offer considerable insight into these seven cancer types and have the potential to provide exciting new directions for diagnostic and therapeutic development. Public Library of Science 2010-10-27 /pmc/articles/PMC2965162/ /pubmed/21060876 http://dx.doi.org/10.1371/journal.pone.0013696 Text en Xu et al. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited. |
spellingShingle | Research Article Xu, Kun Cui, Juan Olman, Victor Yang, Qing Puett, David Xu, Ying A Comparative Analysis of Gene-Expression Data of Multiple Cancer Types |
title | A Comparative Analysis of Gene-Expression Data of Multiple Cancer Types |
title_full | A Comparative Analysis of Gene-Expression Data of Multiple Cancer Types |
title_fullStr | A Comparative Analysis of Gene-Expression Data of Multiple Cancer Types |
title_full_unstemmed | A Comparative Analysis of Gene-Expression Data of Multiple Cancer Types |
title_short | A Comparative Analysis of Gene-Expression Data of Multiple Cancer Types |
title_sort | comparative analysis of gene-expression data of multiple cancer types |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2965162/ https://www.ncbi.nlm.nih.gov/pubmed/21060876 http://dx.doi.org/10.1371/journal.pone.0013696 |
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