Navegando por Autor "Freitas, Cléber R."
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Artigo Bioinformatics analysis of the human surfaceome reveals new targets for a variety of tumor types(Hindawi, 2016-10-18) Fonseca, André L.; Silva, Vandeclécio Lira da; Fonseca, Marbella M.; Meira, Isabella Tanus Job e; Silva, Thayná Emília Oliveira; Kroll, José Eduardo; Ribeiro-dos-Santos, André M.; Freitas, Cléber R.; Furtado, Raimundo; Souza, Jorge Estefano Santana de; Ferreira, Beatriz Stransky; Souza, Sandro José deIt is estimated that 10 to 20% of all genes in the human genome encode cell surface proteins and due to their subcellular localization these proteins represent excellent targets for cancer diagnosis and therapeutics. Therefore, a precise characterization of the surfaceome set in different types of tumor is needed. Using TCGA data from 15 different tumor types and a new method to identify cancer genes, the -score, we identified several potential therapeutic targets within the surfaceome set. This allowed us to expand a previous analysis from us and provided a clear characterization of the human surfaceome in the tumor landscape. Moreover, we present evidence that a three-gene set—WNT5A, CNGA2, and IGSF9B—can be used as a signature associated with shorter survival in breast cancer patients. The data made available here will help the community to develop more efficient diagnostic and therapeutic tools for a variety of tumor typesArtigo Bioinformatics Analysis of the Human Surfaceome Reveals New Targets for a Variety of Tumor Types(2016-10-18) Fonseca, André L.; Silva, Vandeclécio L. da; Fonseca, Marbella M.; Meira, Isabella T. J.; Silva, Thayná E. da; Kroll, José Eduardo; Ribeiro-dos-Santos, André M.; Freitas, Cléber R.; Furtado, Raimundo; Souza, Sandro José de; Ferreira, Beatriz Stransky; Souza, Sandro José deIt is estimated that 10 to 20% of all genes in the human genome encode cell surface proteins and due to their subcellular localization these proteins represent excellent targets for cancer diagnosis and therapeutics. Therefore, a precise characterization of the surfaceome set in different types of tumor is needed. Using TCGA data from 15 different tumor types and a new method to identify cancer genes, the -score, we identified several potential therapeutic targets within the surfaceome set. This allowed us to expand a previous analysis from us and provided a clear characterization of the human surfaceome in the tumor landscape. Moreover, we present evidence that a three-gene set—WNT5A, CNGA2, and IGSF9B—can be used as a signature associated with shorter survival in breast cancer patients. The data made available here will help the community to develop more efficient diagnostic and therapeutic tools for a variety of tumor types.