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...
Guardado en:
| Autores principales: | , , , , , |
|---|---|
| Formato: | article |
| Lenguaje: | EN |
| Publicado: |
Public Library of Science (PLoS)
2010
|
| Materias: | |
| Acceso en línea: | https://doaj.org/article/f8790f686a2c4a068911fdfeb36e8eba |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
| id |
oai:doaj.org-article:f8790f686a2c4a068911fdfeb36e8eba |
|---|---|
| record_format |
dspace |
| spelling |
oai:doaj.org-article:f8790f686a2c4a068911fdfeb36e8eba2021-11-18T07:02:45ZA comparative analysis of gene-expression data of multiple cancer types.1932-620310.1371/journal.pone.0013696https://doaj.org/article/f8790f686a2c4a068911fdfeb36e8eba2010-10-01T00:00:00Zhttps://www.ncbi.nlm.nih.gov/pmc/articles/pmid/21060876/?tool=EBIhttps://doaj.org/toc/1932-6203A 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.Kun XuJuan CuiVictor OlmanQing YangDavid PuettYing XuPublic Library of Science (PLoS)articleMedicineRScienceQENPLoS ONE, Vol 5, Iss 10, p e13696 (2010) |
| institution |
DOAJ |
| collection |
DOAJ |
| language |
EN |
| topic |
Medicine R Science Q |
| spellingShingle |
Medicine R Science Q Kun Xu Juan Cui Victor Olman Qing Yang David Puett Ying Xu A comparative analysis of gene-expression data of multiple cancer types. |
| 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 |
article |
| author |
Kun Xu Juan Cui Victor Olman Qing Yang David Puett Ying Xu |
| author_facet |
Kun Xu Juan Cui Victor Olman Qing Yang David Puett Ying Xu |
| author_sort |
Kun Xu |
| title |
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_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_sort |
comparative analysis of gene-expression data of multiple cancer types. |
| publisher |
Public Library of Science (PLoS) |
| publishDate |
2010 |
| url |
https://doaj.org/article/f8790f686a2c4a068911fdfeb36e8eba |
| work_keys_str_mv |
AT kunxu acomparativeanalysisofgeneexpressiondataofmultiplecancertypes AT juancui acomparativeanalysisofgeneexpressiondataofmultiplecancertypes AT victorolman acomparativeanalysisofgeneexpressiondataofmultiplecancertypes AT qingyang acomparativeanalysisofgeneexpressiondataofmultiplecancertypes AT davidpuett acomparativeanalysisofgeneexpressiondataofmultiplecancertypes AT yingxu acomparativeanalysisofgeneexpressiondataofmultiplecancertypes AT kunxu comparativeanalysisofgeneexpressiondataofmultiplecancertypes AT juancui comparativeanalysisofgeneexpressiondataofmultiplecancertypes AT victorolman comparativeanalysisofgeneexpressiondataofmultiplecancertypes AT qingyang comparativeanalysisofgeneexpressiondataofmultiplecancertypes AT davidpuett comparativeanalysisofgeneexpressiondataofmultiplecancertypes AT yingxu comparativeanalysisofgeneexpressiondataofmultiplecancertypes |
| _version_ |
1718424015130853376 |