Bioinformatics analysis of the human surfaceome reveals new targets for a variety of tumor types

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 de

Bioinformatics analysis of the human surfaceome reveals new targets for a variety of tumor types

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dc.contributor.author	Fonseca, André L.
dc.contributor.author	Silva, Vandeclécio Lira da
dc.contributor.author	Fonseca, Marbella M.
dc.contributor.author	Meira, Isabella Tanus Job e
dc.contributor.author	Silva, Thayná Emília Oliveira
dc.contributor.author	Kroll, José Eduardo
dc.contributor.author	Ribeiro-dos-Santos, André M.
dc.contributor.author	Freitas, Cléber R.
dc.contributor.author	Furtado, Raimundo
dc.contributor.author	Souza, Jorge Estefano Santana de
dc.contributor.author	Ferreira, Beatriz Stransky
dc.contributor.author	Souza, Sandro José de
dc.date.accessioned	2020-07-13T15:01:25Z
dc.date.available	2020-07-13T15:01:25Z
dc.date.issued	2016-10-18
dc.description.resumo	It 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.citation	FONSECA, A. L.; SILVA, V. L.; FONSÊCA, M. M.; MEIRA, I. T. J.; SILVA, T. E. ; KROLL, J. E. ; RIBEIRO-DOS-SANTOS, A. M.; FREITAS, C. R.; FURTADO, R.; SOUZA, J. E.; FERREIRA, B.S.; SOUZA, S. J.. Bioinformatics analysis of the human surfaceome reveals new targets for a variety of tumor types. International Journal of Genomics, v. 2016, p. 1-7, 2016. Disponível em: https://www.hindawi.com/journals/ijg/2016/8346198/. Acesso em: 10 jul. 2020. https://doi.org/10.1155/2016/8346198	pt_BR
dc.identifier.issn	2314-436X
dc.identifier.uri	https://repositorio.ufrn.br/jspui/handle/123456789/29572
dc.language	en	pt_BR
dc.publisher	Hindawi	pt_BR
dc.rights	Attribution 3.0 Brazil	*
dc.rights.uri	http://creativecommons.org/licenses/by/3.0/br/	*
dc.subject	Cancer genes	pt_BR
dc.subject	Tumor Types	pt_BR
dc.title	Bioinformatics analysis of the human surfaceome reveals new targets for a variety of tumor types	pt_BR
dc.type	article	pt_BR