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International Journal of Genomics
Volume 2016, Article ID 8346198, 7 pages
http://dx.doi.org/10.1155/2016/8346198
Research Article

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

1Brain Institute, Federal University of Rio Grande do Norte, 59064-560 Natal, RN, Brazil
2Ph.D. Program in Bioinformatics, Federal University of Rio Grande do Norte, Natal, RN, Brazil
3Institute of Bioinformatics and Biotechnology, Natal, RN, Brazil
4Ph.D. Program in Genetics, Federal University of Para, Belém, PA, Brazil
5Digital Metropolis Institute, Federal University of Rio Grande do Norte, Natal, RN, Brazil
6Biomedical Engineering Department, Center of Technology, Federal University of Rio Grande do Norte, Natal, RN, Brazil

Received 31 May 2016; Revised 7 September 2016; Accepted 18 October 2016

Academic Editor: Brian Wigdahl

Copyright © 2016 André L. Fonseca et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

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.