Bioinformatics Analysis of the Human Surfaceome Reveals New Targets for a Variety of Tumor Types

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dc.contributor.authorFonseca, André L.
dc.contributor.authorSilva, Vandeclécio L. da
dc.contributor.authorFonseca, Marbella M.
dc.contributor.authorMeira, Isabella T. J.
dc.contributor.authorSilva, Thayná E. da
dc.contributor.authorKroll, José Eduardo
dc.contributor.authorRibeiro-dos-Santos, André M.
dc.contributor.authorFreitas, Cléber R.
dc.contributor.authorFurtado, Raimundo
dc.contributor.authorSouza, Sandro José de
dc.contributor.authorFerreira, Beatriz Stransky
dc.contributor.authorSouza, Sandro José de
dc.date.accessioned2017-05-24T11:56:58Z
dc.date.available2017-05-24T11:56:58Z
dc.date.issued2016-10-18
dc.description.resumoIt 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.pt_BR
dc.identifier.doihttp://dx.doi.org/10.1155/2016/8346198
dc.identifier.urihttps://repositorio.ufrn.br/jspui/handle/123456789/23057
dc.languageengpt_BR
dc.rightsAcesso Abertopt_BR
dc.subjectgeneticpt_BR
dc.subjectneoplasmspt_BR
dc.titleBioinformatics Analysis of the Human Surfaceome Reveals New Targets for a Variety of Tumor Typespt_BR
dc.typearticlept_BR

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