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Recent developments in predictive biomarkers of pediatric glioma
The presence of certain cancer-related genetic and epigenetic alterations in the tumor affects patient response to specific cancer therapies. The accurate screening of these predictive biomarkers in molecular diagnostics is important since it enables the tailoring of optimal treatment based on molec...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
D.A. Spandidos
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5494731/ https://www.ncbi.nlm.nih.gov/pubmed/28693197 http://dx.doi.org/10.3892/ol.2017.6243 |
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author | Li, Zhengwei Yin, Yiyu Liu, Fengli |
author_facet | Li, Zhengwei Yin, Yiyu Liu, Fengli |
author_sort | Li, Zhengwei |
collection | PubMed |
description | The presence of certain cancer-related genetic and epigenetic alterations in the tumor affects patient response to specific cancer therapies. The accurate screening of these predictive biomarkers in molecular diagnostics is important since it enables the tailoring of optimal treatment based on molecular characteristics of the tumor. We searched the electronic database PubMed for preclinical as well as clinical controlled trials reporting on various multiple predictors of glioma. It was observed clearly that multiple approaches are evolving and a few of them have also shown promising results. Depending on the type of gene alteration, a wide variety of methods may be applied in biomarker testing. Among the novel methods is next-generation sequencing (NGS) technology, enabling simultaneous detection of multiple alterations. The aim of this review is to discuss the predictive or potentially predictive genetic and epigenetic alterations of diffuse gliomas. The review concludes that NGS technology is the future and may likely replace, at least to some extent, the current routinely used methods, including FISH, IHC, and PCR-based methods, in clinical diagnostics. |
format | Online Article Text |
id | pubmed-5494731 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | D.A. Spandidos |
record_format | MEDLINE/PubMed |
spelling | pubmed-54947312017-07-07 Recent developments in predictive biomarkers of pediatric glioma Li, Zhengwei Yin, Yiyu Liu, Fengli Oncol Lett Review The presence of certain cancer-related genetic and epigenetic alterations in the tumor affects patient response to specific cancer therapies. The accurate screening of these predictive biomarkers in molecular diagnostics is important since it enables the tailoring of optimal treatment based on molecular characteristics of the tumor. We searched the electronic database PubMed for preclinical as well as clinical controlled trials reporting on various multiple predictors of glioma. It was observed clearly that multiple approaches are evolving and a few of them have also shown promising results. Depending on the type of gene alteration, a wide variety of methods may be applied in biomarker testing. Among the novel methods is next-generation sequencing (NGS) technology, enabling simultaneous detection of multiple alterations. The aim of this review is to discuss the predictive or potentially predictive genetic and epigenetic alterations of diffuse gliomas. The review concludes that NGS technology is the future and may likely replace, at least to some extent, the current routinely used methods, including FISH, IHC, and PCR-based methods, in clinical diagnostics. D.A. Spandidos 2017-07 2017-05-24 /pmc/articles/PMC5494731/ /pubmed/28693197 http://dx.doi.org/10.3892/ol.2017.6243 Text en Copyright: © Li et al. This is an open access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs License (https://creativecommons.org/licenses/by-nc-nd/4.0/) , which permits use and distribution in any medium, provided the original work is properly cited, the use is non-commercial and no modifications or adaptations are made. |
spellingShingle | Review Li, Zhengwei Yin, Yiyu Liu, Fengli Recent developments in predictive biomarkers of pediatric glioma |
title | Recent developments in predictive biomarkers of pediatric glioma |
title_full | Recent developments in predictive biomarkers of pediatric glioma |
title_fullStr | Recent developments in predictive biomarkers of pediatric glioma |
title_full_unstemmed | Recent developments in predictive biomarkers of pediatric glioma |
title_short | Recent developments in predictive biomarkers of pediatric glioma |
title_sort | recent developments in predictive biomarkers of pediatric glioma |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5494731/ https://www.ncbi.nlm.nih.gov/pubmed/28693197 http://dx.doi.org/10.3892/ol.2017.6243 |
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