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

• Autor(a) principal: Fonseca, André L.
• Data de Publicação: 2016
• Outros Autores: 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
• Tipo de documento: Artigo
• Idioma: eng
• Título da fonte: Repositório Institucional da UFRN
• Texto Completo: https://repositorio.ufrn.br/jspui/handle/123456789/23057; http://dx.doi.org/10.1155/2016/8346198
• topic: genetic; neoplasms

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.