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Next-Generation Sequencing in Clinical Molecular Diagnostics of Cancer: Advantages and Challenges
The application of next-generation sequencing (NGS) to characterize cancer genomes has resulted in the discovery of numerous genetic markers. Consequently, the number of markers that warrant routine screening in molecular diagnostic laboratories, often from limited tumor material, has increased. Thi...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2015
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4695874/ https://www.ncbi.nlm.nih.gov/pubmed/26473927 http://dx.doi.org/10.3390/cancers7040874 |
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author | Luthra, Rajyalakshmi Chen, Hui Roy-Chowdhuri, Sinchita Singh, R. Rajesh |
author_facet | Luthra, Rajyalakshmi Chen, Hui Roy-Chowdhuri, Sinchita Singh, R. Rajesh |
author_sort | Luthra, Rajyalakshmi |
collection | PubMed |
description | The application of next-generation sequencing (NGS) to characterize cancer genomes has resulted in the discovery of numerous genetic markers. Consequently, the number of markers that warrant routine screening in molecular diagnostic laboratories, often from limited tumor material, has increased. This increased demand has been difficult to manage by traditional low- and/or medium-throughput sequencing platforms. Massively parallel sequencing capabilities of NGS provide a much-needed alternative for mutation screening in multiple genes with a single low investment of DNA. However, implementation of NGS technologies, most of which are for research use only (RUO), in a diagnostic laboratory, needs extensive validation in order to establish Clinical Laboratory Improvement Amendments (CLIA) and College of American Pathologists (CAP)-compliant performance characteristics. Here, we have reviewed approaches for validation of NGS technology for routine screening of tumors. We discuss the criteria for selecting gene markers to include in the NGS panel and the deciding factors for selecting target capture approaches and sequencing platforms. We also discuss challenges in result reporting, storage and retrieval of the voluminous sequencing data and the future potential of clinical NGS. |
format | Online Article Text |
id | pubmed-4695874 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-46958742016-01-19 Next-Generation Sequencing in Clinical Molecular Diagnostics of Cancer: Advantages and Challenges Luthra, Rajyalakshmi Chen, Hui Roy-Chowdhuri, Sinchita Singh, R. Rajesh Cancers (Basel) Review The application of next-generation sequencing (NGS) to characterize cancer genomes has resulted in the discovery of numerous genetic markers. Consequently, the number of markers that warrant routine screening in molecular diagnostic laboratories, often from limited tumor material, has increased. This increased demand has been difficult to manage by traditional low- and/or medium-throughput sequencing platforms. Massively parallel sequencing capabilities of NGS provide a much-needed alternative for mutation screening in multiple genes with a single low investment of DNA. However, implementation of NGS technologies, most of which are for research use only (RUO), in a diagnostic laboratory, needs extensive validation in order to establish Clinical Laboratory Improvement Amendments (CLIA) and College of American Pathologists (CAP)-compliant performance characteristics. Here, we have reviewed approaches for validation of NGS technology for routine screening of tumors. We discuss the criteria for selecting gene markers to include in the NGS panel and the deciding factors for selecting target capture approaches and sequencing platforms. We also discuss challenges in result reporting, storage and retrieval of the voluminous sequencing data and the future potential of clinical NGS. MDPI 2015-10-14 /pmc/articles/PMC4695874/ /pubmed/26473927 http://dx.doi.org/10.3390/cancers7040874 Text en © 2015 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 license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Review Luthra, Rajyalakshmi Chen, Hui Roy-Chowdhuri, Sinchita Singh, R. Rajesh Next-Generation Sequencing in Clinical Molecular Diagnostics of Cancer: Advantages and Challenges |
title | Next-Generation Sequencing in Clinical Molecular Diagnostics of Cancer: Advantages and Challenges |
title_full | Next-Generation Sequencing in Clinical Molecular Diagnostics of Cancer: Advantages and Challenges |
title_fullStr | Next-Generation Sequencing in Clinical Molecular Diagnostics of Cancer: Advantages and Challenges |
title_full_unstemmed | Next-Generation Sequencing in Clinical Molecular Diagnostics of Cancer: Advantages and Challenges |
title_short | Next-Generation Sequencing in Clinical Molecular Diagnostics of Cancer: Advantages and Challenges |
title_sort | next-generation sequencing in clinical molecular diagnostics of cancer: advantages and challenges |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4695874/ https://www.ncbi.nlm.nih.gov/pubmed/26473927 http://dx.doi.org/10.3390/cancers7040874 |
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