title: Bioinformatics Analysis of the Human Surfaceome Reveals New Targets for a Variety of Tumor Types.
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, theS-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.
authors.affiliation: 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.
authors.forename: André L
authors.initials: AL
authors.lastname: Fonseca
authors.affiliation: 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.
authors.forename: Vandeclécio L
authors.initials: VL
authors.lastname: da Silva
authors.affiliation: Brain Institute, Federal University of Rio Grande do Norte, 59064-560 Natal, RN, Brazil.
authors.forename: Marbella M
authors.initials: MM
authors.lastname: da Fonsêca
authors.affiliation: Brain Institute, Federal University of Rio Grande do Norte, 59064-560 Natal, RN, Brazil.
authors.forename: Isabella T J
authors.initials: IT
authors.lastname: Meira
authors.affiliation: Brain Institute, Federal University of Rio Grande do Norte, 59064-560 Natal, RN, Brazil.
authors.forename: Thayná E
authors.initials: TE
authors.lastname: da Silva
authors.affiliation: Brain Institute, Federal University of Rio Grande do Norte, 59064-560 Natal, RN, Brazil; Institute of Bioinformatics and Biotechnology, Natal, RN, Brazil.
authors.forename: José E
authors.initials: JE
authors.lastname: Kroll
authors.affiliation: Ph.D. Program in Genetics, Federal University of Para, Belém, PA, Brazil.
authors.forename: André M
authors.initials: AM
authors.lastname: Ribeiro-Dos-Santos
authors.affiliation: Brain Institute, Federal University of Rio Grande do Norte, 59064-560 Natal, RN, Brazil.
authors.forename: Cléber R
authors.initials: CR
authors.lastname: Freitas
authors.affiliation: Brain Institute, Federal University of Rio Grande do Norte, 59064-560 Natal, RN, Brazil.
authors.forename: Raimundo
authors.initials: R
authors.lastname: Furtado
authors.affiliation: Digital Metropolis Institute, Federal University of Rio Grande do Norte, Natal, RN, Brazil.
authors.forename: Jorge E
authors.initials: JE
authors.lastname: de Souza
authors.affiliation: Biomedical Engineering Department, Center of Technology, Federal University of Rio Grande do Norte, Natal, RN, Brazil.
authors.forename: Beatriz
authors.initials: B
authors.lastname: Stransky
authors.affiliation: Brain Institute, Federal University of Rio Grande do Norte, 59064-560 Natal, RN, Brazil.
authors.forename: Sandro J
authors.identifier: 0000-0002-1012-3237
authors.initials: SJ
authors.lastname: de Souza