Biological convergence of cancer signatures.
Gene expression profiling has identified cancer prognostic and predictive signatures with superior performance to conventional histopathological or clinical parameters. Consequently, signatures are being incorporated into clinical practice and will soon influence everyday decisions in oncology. Howe...
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2009
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oai:doaj.org-article:20d0f19f31fa4a788ea07ceecd3a2d372021-11-25T06:17:12ZBiological convergence of cancer signatures.1932-620310.1371/journal.pone.0004544https://doaj.org/article/20d0f19f31fa4a788ea07ceecd3a2d372009-01-01T00:00:00Zhttps://www.ncbi.nlm.nih.gov/pmc/articles/pmid/19229342/pdf/?tool=EBIhttps://doaj.org/toc/1932-6203Gene expression profiling has identified cancer prognostic and predictive signatures with superior performance to conventional histopathological or clinical parameters. Consequently, signatures are being incorporated into clinical practice and will soon influence everyday decisions in oncology. However, the slight overlap in the gene identity between signatures for the same cancer type or condition raises questions about their biological and clinical implications. To clarify these issues, better understanding of the molecular properties and possible interactions underlying apparently dissimilar signatures is needed. Here, we evaluated whether the signatures of 24 independent studies are related at the genome, transcriptome or proteome levels. Significant associations were consistently observed across these molecular layers, which suggest the existence of a common cancer cell phenotype. Convergence on cell proliferation and death supports the pivotal involvement of these processes in prognosis, metastasis and treatment response. In addition, functional and molecular associations were identified with the immune response in different cancer types and conditions that complement the contribution of cell proliferation and death. Examination of additional, independent, cancer datasets corroborated our observations. This study proposes a comprehensive strategy for interpreting cancer signatures that reveals common design principles and systems-level properties.Xavier SoléNúria BonifaciNúria López-BigasAntoni BerenguerPilar HernándezOscar ReinaChristopher A MaxwellHelena AguilarAnder UrruticoecheaSilvia de SanjoséFrancesc ComellasGabriel CapelláVíctor MorenoMiguel Angel PujanaPublic Library of Science (PLoS)articleMedicineRScienceQENPLoS ONE, Vol 4, Iss 2, p e4544 (2009) |
| institution |
DOAJ |
| collection |
DOAJ |
| language |
EN |
| topic |
Medicine R Science Q |
| spellingShingle |
Medicine R Science Q Xavier Solé Núria Bonifaci Núria López-Bigas Antoni Berenguer Pilar Hernández Oscar Reina Christopher A Maxwell Helena Aguilar Ander Urruticoechea Silvia de Sanjosé Francesc Comellas Gabriel Capellá Víctor Moreno Miguel Angel Pujana Biological convergence of cancer signatures. |
| description |
Gene expression profiling has identified cancer prognostic and predictive signatures with superior performance to conventional histopathological or clinical parameters. Consequently, signatures are being incorporated into clinical practice and will soon influence everyday decisions in oncology. However, the slight overlap in the gene identity between signatures for the same cancer type or condition raises questions about their biological and clinical implications. To clarify these issues, better understanding of the molecular properties and possible interactions underlying apparently dissimilar signatures is needed. Here, we evaluated whether the signatures of 24 independent studies are related at the genome, transcriptome or proteome levels. Significant associations were consistently observed across these molecular layers, which suggest the existence of a common cancer cell phenotype. Convergence on cell proliferation and death supports the pivotal involvement of these processes in prognosis, metastasis and treatment response. In addition, functional and molecular associations were identified with the immune response in different cancer types and conditions that complement the contribution of cell proliferation and death. Examination of additional, independent, cancer datasets corroborated our observations. This study proposes a comprehensive strategy for interpreting cancer signatures that reveals common design principles and systems-level properties. |
| format |
article |
| author |
Xavier Solé Núria Bonifaci Núria López-Bigas Antoni Berenguer Pilar Hernández Oscar Reina Christopher A Maxwell Helena Aguilar Ander Urruticoechea Silvia de Sanjosé Francesc Comellas Gabriel Capellá Víctor Moreno Miguel Angel Pujana |
| author_facet |
Xavier Solé Núria Bonifaci Núria López-Bigas Antoni Berenguer Pilar Hernández Oscar Reina Christopher A Maxwell Helena Aguilar Ander Urruticoechea Silvia de Sanjosé Francesc Comellas Gabriel Capellá Víctor Moreno Miguel Angel Pujana |
| author_sort |
Xavier Solé |
| title |
Biological convergence of cancer signatures. |
| title_short |
Biological convergence of cancer signatures. |
| title_full |
Biological convergence of cancer signatures. |
| title_fullStr |
Biological convergence of cancer signatures. |
| title_full_unstemmed |
Biological convergence of cancer signatures. |
| title_sort |
biological convergence of cancer signatures. |
| publisher |
Public Library of Science (PLoS) |
| publishDate |
2009 |
| url |
https://doaj.org/article/20d0f19f31fa4a788ea07ceecd3a2d37 |
| work_keys_str_mv |
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