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...
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| Main Authors: | , , , , , , , , , , , |
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| Format: | Article |
| Language: | English |
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Wiley
2016-01-01
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| Series: | International Journal of Genomics |
| Online Access: | http://dx.doi.org/10.1155/2016/8346198 |
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| author | André L. Fonseca Vandeclécio L. da Silva Marbella M. da Fonsêca Isabella T. J. Meira Thayná E. da Silva José E. Kroll André M. Ribeiro-dos-Santos Cléber R. Freitas Raimundo Furtado Jorge E. de Souza Beatriz Stransky Sandro J. de Souza |
| author_facet | André L. Fonseca Vandeclécio L. da Silva Marbella M. da Fonsêca Isabella T. J. Meira Thayná E. da Silva José E. Kroll André M. Ribeiro-dos-Santos Cléber R. Freitas Raimundo Furtado Jorge E. de Souza Beatriz Stransky Sandro J. de Souza |
| author_sort | André L. Fonseca |
| collection | DOAJ |
| 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 | Article |
| id | doaj-art-476f6bd92bd64876a9ede7452c1f253c |
| institution | Kabale University |
| issn | 2314-436X 2314-4378 |
| language | English |
| publishDate | 2016-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | International Journal of Genomics |
| spelling | doaj-art-476f6bd92bd64876a9ede7452c1f253c2025-02-03T01:26:29ZengWileyInternational Journal of Genomics2314-436X2314-43782016-01-01201610.1155/2016/83461988346198Bioinformatics Analysis of the Human Surfaceome Reveals New Targets for a Variety of Tumor TypesAndré L. Fonseca0Vandeclécio L. da Silva1Marbella M. da Fonsêca2Isabella T. J. Meira3Thayná E. da Silva4José E. Kroll5André M. Ribeiro-dos-Santos6Cléber R. Freitas7Raimundo Furtado8Jorge E. de Souza9Beatriz Stransky10Sandro J. de Souza11Brain Institute, Federal University of Rio Grande do Norte, 59064-560 Natal, RN, BrazilBrain Institute, Federal University of Rio Grande do Norte, 59064-560 Natal, RN, BrazilBrain Institute, Federal University of Rio Grande do Norte, 59064-560 Natal, RN, BrazilBrain Institute, Federal University of Rio Grande do Norte, 59064-560 Natal, RN, BrazilBrain Institute, Federal University of Rio Grande do Norte, 59064-560 Natal, RN, BrazilBrain Institute, Federal University of Rio Grande do Norte, 59064-560 Natal, RN, BrazilPh.D. Program in Genetics, Federal University of Para, Belém, PA, BrazilBrain Institute, Federal University of Rio Grande do Norte, 59064-560 Natal, RN, BrazilBrain Institute, Federal University of Rio Grande do Norte, 59064-560 Natal, RN, BrazilDigital Metropolis Institute, Federal University of Rio Grande do Norte, Natal, RN, BrazilBiomedical Engineering Department, Center of Technology, Federal University of Rio Grande do Norte, Natal, RN, BrazilBrain Institute, Federal University of Rio Grande do Norte, 59064-560 Natal, RN, BrazilIt 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.http://dx.doi.org/10.1155/2016/8346198 |
| spellingShingle | André L. Fonseca Vandeclécio L. da Silva Marbella M. da Fonsêca Isabella T. J. Meira Thayná E. da Silva José E. Kroll André M. Ribeiro-dos-Santos Cléber R. Freitas Raimundo Furtado Jorge E. de Souza Beatriz Stransky Sandro J. de Souza Bioinformatics Analysis of the Human Surfaceome Reveals New Targets for a Variety of Tumor Types International Journal of Genomics |
| 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 |
| url | http://dx.doi.org/10.1155/2016/8346198 |
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