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Identifying Cancer Driver Genes Using Replication-Incompetent Retroviral Vectors

Identifying novel genes that drive tumor metastasis and drug resistance has significant potential to improve patient outcomes. High-throughput sequencing approaches have identified cancer genes, but distinguishing driver genes from passengers remains challenging. Insertional mutagenesis screens usin...

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Detalles Bibliográficos
Autores principales: Bii, Victor M., Trobridge, Grant D.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5126759/
https://www.ncbi.nlm.nih.gov/pubmed/27792127
http://dx.doi.org/10.3390/cancers8110099
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author Bii, Victor M.
Trobridge, Grant D.
author_facet Bii, Victor M.
Trobridge, Grant D.
author_sort Bii, Victor M.
collection PubMed
description Identifying novel genes that drive tumor metastasis and drug resistance has significant potential to improve patient outcomes. High-throughput sequencing approaches have identified cancer genes, but distinguishing driver genes from passengers remains challenging. Insertional mutagenesis screens using replication-incompetent retroviral vectors have emerged as a powerful tool to identify cancer genes. Unlike replicating retroviruses and transposons, replication-incompetent retroviral vectors lack additional mutagenesis events that can complicate the identification of driver mutations from passenger mutations. They can also be used for almost any human cancer due to the broad tropism of the vectors. Replication-incompetent retroviral vectors have the ability to dysregulate nearby cancer genes via several mechanisms including enhancer-mediated activation of gene promoters. The integrated provirus acts as a unique molecular tag for nearby candidate driver genes which can be rapidly identified using well established methods that utilize next generation sequencing and bioinformatics programs. Recently, retroviral vector screens have been used to efficiently identify candidate driver genes in prostate, breast, liver and pancreatic cancers. Validated driver genes can be potential therapeutic targets and biomarkers. In this review, we describe the emergence of retroviral insertional mutagenesis screens using replication-incompetent retroviral vectors as a novel tool to identify cancer driver genes in different cancer types.
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spelling pubmed-51267592016-12-02 Identifying Cancer Driver Genes Using Replication-Incompetent Retroviral Vectors Bii, Victor M. Trobridge, Grant D. Cancers (Basel) Review Identifying novel genes that drive tumor metastasis and drug resistance has significant potential to improve patient outcomes. High-throughput sequencing approaches have identified cancer genes, but distinguishing driver genes from passengers remains challenging. Insertional mutagenesis screens using replication-incompetent retroviral vectors have emerged as a powerful tool to identify cancer genes. Unlike replicating retroviruses and transposons, replication-incompetent retroviral vectors lack additional mutagenesis events that can complicate the identification of driver mutations from passenger mutations. They can also be used for almost any human cancer due to the broad tropism of the vectors. Replication-incompetent retroviral vectors have the ability to dysregulate nearby cancer genes via several mechanisms including enhancer-mediated activation of gene promoters. The integrated provirus acts as a unique molecular tag for nearby candidate driver genes which can be rapidly identified using well established methods that utilize next generation sequencing and bioinformatics programs. Recently, retroviral vector screens have been used to efficiently identify candidate driver genes in prostate, breast, liver and pancreatic cancers. Validated driver genes can be potential therapeutic targets and biomarkers. In this review, we describe the emergence of retroviral insertional mutagenesis screens using replication-incompetent retroviral vectors as a novel tool to identify cancer driver genes in different cancer types. MDPI 2016-10-25 /pmc/articles/PMC5126759/ /pubmed/27792127 http://dx.doi.org/10.3390/cancers8110099 Text en © 2016 by the authors; licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC-BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Review
Bii, Victor M.
Trobridge, Grant D.
Identifying Cancer Driver Genes Using Replication-Incompetent Retroviral Vectors
title Identifying Cancer Driver Genes Using Replication-Incompetent Retroviral Vectors
title_full Identifying Cancer Driver Genes Using Replication-Incompetent Retroviral Vectors
title_fullStr Identifying Cancer Driver Genes Using Replication-Incompetent Retroviral Vectors
title_full_unstemmed Identifying Cancer Driver Genes Using Replication-Incompetent Retroviral Vectors
title_short Identifying Cancer Driver Genes Using Replication-Incompetent Retroviral Vectors
title_sort identifying cancer driver genes using replication-incompetent retroviral vectors
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5126759/
https://www.ncbi.nlm.nih.gov/pubmed/27792127
http://dx.doi.org/10.3390/cancers8110099
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