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Bioinformatics Analysis of the Human Surfaceome Reveals New Targets for a Variety of Tumor Types.
Fonseca, André L; da Silva, Vandeclécio L; da Fonsêca, Marbella M; Meira, Isabella T J; da Silva, Thayná E; Kroll, José E; Ribeiro-Dos-Santos, André M; Freitas, Cléber R; Furtado, Raimundo; de Souza, Jorge E; Stransky, Beatriz; de Souza, Sandro J.
Afiliação
  • Fonseca AL; Brain Institute, Federal University of Rio Grande do Norte, 59064-560 Natal, RN, Brazil; Ph.D. Program in Bioinformatics, Federal University of Rio Grande do Norte, Natal, RN, Brazil.
  • da Silva VL; Brain Institute, Federal University of Rio Grande do Norte, 59064-560 Natal, RN, Brazil; Ph.D. Program in Bioinformatics, Federal University of Rio Grande do Norte, Natal, RN, Brazil.
  • da Fonsêca MM; Brain Institute, Federal University of Rio Grande do Norte, 59064-560 Natal, RN, Brazil.
  • Meira IT; Brain Institute, Federal University of Rio Grande do Norte, 59064-560 Natal, RN, Brazil.
  • da Silva TE; Brain Institute, Federal University of Rio Grande do Norte, 59064-560 Natal, RN, Brazil.
  • Kroll JE; Brain Institute, Federal University of Rio Grande do Norte, 59064-560 Natal, RN, Brazil; Institute of Bioinformatics and Biotechnology, Natal, RN, Brazil.
  • Ribeiro-Dos-Santos AM; Ph.D. Program in Genetics, Federal University of Para, Belém, PA, Brazil.
  • Freitas CR; Brain Institute, Federal University of Rio Grande do Norte, 59064-560 Natal, RN, Brazil.
  • Furtado R; Brain Institute, Federal University of Rio Grande do Norte, 59064-560 Natal, RN, Brazil.
  • de Souza JE; Digital Metropolis Institute, Federal University of Rio Grande do Norte, Natal, RN, Brazil.
  • Stransky B; Biomedical Engineering Department, Center of Technology, Federal University of Rio Grande do Norte, Natal, RN, Brazil.
  • de Souza SJ; Brain Institute, Federal University of Rio Grande do Norte, 59064-560 Natal, RN, Brazil.
Int J Genomics ; 2016: 8346198, 2016.
Article em En | MEDLINE | ID: mdl-28097125
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 S-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.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Revista: Int J Genomics Ano de publicação: 2016 Tipo de documento: Article País de afiliação: Brasil País de publicação: Estados Unidos
Texto completo
Adicionar na Minha BVS
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Revista: Int J Genomics Ano de publicação: 2016 Tipo de documento: Article País de afiliação: Brasil País de publicação: Estados Unidos