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Application of next-generation sequencing in clinical oncology to advance personalized treatment of cancer
With the development and improvement of new sequencing technology, next-generation sequencing (NGS) has been applied increasingly in cancer genomics research over the past decade. More recently, NGS has been adopted in clinical oncology to advance personalized treatment of cancer. NGS is used to ide...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Sun Yat-sen University Cancer Center
2012
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3777453/ https://www.ncbi.nlm.nih.gov/pubmed/22980418 http://dx.doi.org/10.5732/cjc.012.10216 |
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author | Guan, Yan-Fang Li, Gai-Rui Wang, Rong-Jiao Yi, Yu-Ting Yang, Ling Jiang, Dan Zhang, Xiao-Ping Peng, Yin |
author_facet | Guan, Yan-Fang Li, Gai-Rui Wang, Rong-Jiao Yi, Yu-Ting Yang, Ling Jiang, Dan Zhang, Xiao-Ping Peng, Yin |
author_sort | Guan, Yan-Fang |
collection | PubMed |
description | With the development and improvement of new sequencing technology, next-generation sequencing (NGS) has been applied increasingly in cancer genomics research over the past decade. More recently, NGS has been adopted in clinical oncology to advance personalized treatment of cancer. NGS is used to identify novel and rare cancer mutations, detect familial cancer mutation carriers, and provide molecular rationale for appropriate targeted therapy. Compared to traditional sequencing, NGS holds many advantages, such as the ability to fully sequence all types of mutations for a large number of genes (hundreds to thousands) in a single test at a relatively low cost. However, significant challenges, particularly with respect to the requirement for simpler assays, more flexible throughput, shorter turnaround time, and most importantly, easier data analysis and interpretation, will have to be overcome to translate NGS to the bedside of cancer patients. Overall, continuous dedication to apply NGS in clinical oncology practice will enable us to be one step closer to personalized medicine. |
format | Online Article Text |
id | pubmed-3777453 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2012 |
publisher | Sun Yat-sen University Cancer Center |
record_format | MEDLINE/PubMed |
spelling | pubmed-37774532013-12-11 Application of next-generation sequencing in clinical oncology to advance personalized treatment of cancer Guan, Yan-Fang Li, Gai-Rui Wang, Rong-Jiao Yi, Yu-Ting Yang, Ling Jiang, Dan Zhang, Xiao-Ping Peng, Yin Chin J Cancer Review With the development and improvement of new sequencing technology, next-generation sequencing (NGS) has been applied increasingly in cancer genomics research over the past decade. More recently, NGS has been adopted in clinical oncology to advance personalized treatment of cancer. NGS is used to identify novel and rare cancer mutations, detect familial cancer mutation carriers, and provide molecular rationale for appropriate targeted therapy. Compared to traditional sequencing, NGS holds many advantages, such as the ability to fully sequence all types of mutations for a large number of genes (hundreds to thousands) in a single test at a relatively low cost. However, significant challenges, particularly with respect to the requirement for simpler assays, more flexible throughput, shorter turnaround time, and most importantly, easier data analysis and interpretation, will have to be overcome to translate NGS to the bedside of cancer patients. Overall, continuous dedication to apply NGS in clinical oncology practice will enable us to be one step closer to personalized medicine. Sun Yat-sen University Cancer Center 2012-10 /pmc/articles/PMC3777453/ /pubmed/22980418 http://dx.doi.org/10.5732/cjc.012.10216 Text en Chinese Journal of Cancer http://creativecommons.org/licenses/by-nc-sa/3.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike 3.0 Unported License, which allows readers to alter, transform, or build upon the article and then distribute the resulting work under the same or similar license to this one. The work must be attributed back to the original author and commercial use is not permitted without specific permission. |
spellingShingle | Review Guan, Yan-Fang Li, Gai-Rui Wang, Rong-Jiao Yi, Yu-Ting Yang, Ling Jiang, Dan Zhang, Xiao-Ping Peng, Yin Application of next-generation sequencing in clinical oncology to advance personalized treatment of cancer |
title | Application of next-generation sequencing in clinical oncology to advance personalized treatment of cancer |
title_full | Application of next-generation sequencing in clinical oncology to advance personalized treatment of cancer |
title_fullStr | Application of next-generation sequencing in clinical oncology to advance personalized treatment of cancer |
title_full_unstemmed | Application of next-generation sequencing in clinical oncology to advance personalized treatment of cancer |
title_short | Application of next-generation sequencing in clinical oncology to advance personalized treatment of cancer |
title_sort | application of next-generation sequencing in clinical oncology to advance personalized treatment of cancer |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3777453/ https://www.ncbi.nlm.nih.gov/pubmed/22980418 http://dx.doi.org/10.5732/cjc.012.10216 |
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