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Bioinformatics Analysis of the Human Surfaceome Reveals New Targets for a Variety of Tumor Types
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 t...
Autores principales: | , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi Publishing Corporation
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5206789/ https://www.ncbi.nlm.nih.gov/pubmed/28097125 http://dx.doi.org/10.1155/2016/8346198 |
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author | 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. |
author_facet | 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. |
author_sort | Fonseca, André L. |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-5206789 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Hindawi Publishing Corporation |
record_format | MEDLINE/PubMed |
spelling | pubmed-52067892017-01-17 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. Int J Genomics Research Article 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. Hindawi Publishing Corporation 2016 2016-11-14 /pmc/articles/PMC5206789/ /pubmed/28097125 http://dx.doi.org/10.1155/2016/8346198 Text en Copyright © 2016 André L. Fonseca et al. https://creativecommons.org/licenses/by/4.0/ 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. |
spellingShingle | Research Article 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. Bioinformatics Analysis of the Human Surfaceome Reveals New Targets for a Variety of Tumor Types |
title | Bioinformatics Analysis of the Human Surfaceome Reveals New Targets for a Variety of Tumor Types |
title_full | Bioinformatics Analysis of the Human Surfaceome Reveals New Targets for a Variety of Tumor Types |
title_fullStr | Bioinformatics Analysis of the Human Surfaceome Reveals New Targets for a Variety of Tumor Types |
title_full_unstemmed | Bioinformatics Analysis of the Human Surfaceome Reveals New Targets for a Variety of Tumor Types |
title_short | Bioinformatics Analysis of the Human Surfaceome Reveals New Targets for a Variety of Tumor Types |
title_sort | bioinformatics analysis of the human surfaceome reveals new targets for a variety of tumor types |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5206789/ https://www.ncbi.nlm.nih.gov/pubmed/28097125 http://dx.doi.org/10.1155/2016/8346198 |
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