Biological Convergence of Cancer Signatures Export

@article{citeulike:4197728, abstract = {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.}, author = {Sol\'{e}, Xavier and Bonifaci, N\'{u}ria and L\'{o}pez-Bigas, N\'{u}ria and Berenguer, Antoni and Hern\'{a}ndez, Pilar and Reina, Oscar and Maxwell, Christopher A. and Aguilar, Helena and Urruticoechea, Ander and de Sanjos\'{e}, Silvia and Comellas, Francesc and Capell\'{a}, Gabriel and Moreno, V\'{\i}ctor and Pujana, Miguel A.}, citeulike-article-id = {4197728}, citeulike-linkout-0 = {http://dx.doi.org/10.1371/journal.pone.0004544}, citeulike-linkout-1 = {http://view.ncbi.nlm.nih.gov/pubmed/19229342}, citeulike-linkout-2 = {http://www.hubmed.org/display.cgi?uids=19229342}, day = {20}, doi = {10.1371/journal.pone.0004544}, issn = {1932-6203}, journal = {PLoS ONE}, keywords = {meta-analysis}, month = {February}, number = {2}, pages = {e4544+}, posted-at = {2009-07-22 13:39:17}, priority = {3}, publisher = {Public Library of Science}, title = {Biological Convergence of Cancer Signatures}, url = {http://dx.doi.org/10.1371/journal.pone.0004544}, volume = {4}, year = {2009} }

TY - JOUR ID - citeulike:4197728 L3 - citeulike-article-id:4197728 N2 - 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. IS - 2 JF - PLoS ONE SN - 1932-6203 TI - Biological Convergence of Cancer Signatures PB - Public Library of Science VL - 4 SP - e4544 KW - meta-analysis AU - Solé, Xavier AU - Bonifaci, Núria AU - López-Bigas, Núria AU - Berenguer, Antoni AU - Hernández, Pilar AU - Reina, Oscar AU - Maxwell, Christopher AU - Aguilar, Helena AU - Urruticoechea, Ander AU - de Sanjosé, Silvia AU - Comellas, Francesc AU - Capellá, Gabriel AU - Moreno, Víctor AU - Pujana, Miguel PY - 2009/02/20/ UR - http://dx.doi.org/10.1371/journal.pone.0004544 ER -