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Prognostic value and their clinical implication of 89-gene signature in glioma
Gliomas are the most common and aggressive primary tumors in adults. The current approaches, such as histological classification and molecular genetics, have limitation in prediction of individual therapeutic outcomes due to heterogeneity within the tumor groups. Recent studies have proposed several...
Autores principales: | , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Impact Journals LLC
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5239472/ https://www.ncbi.nlm.nih.gov/pubmed/27323413 http://dx.doi.org/10.18632/oncotarget.9983 |
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author | Shahid, Muhammad Cho, Kyoung Min Nguyen, Minh Nam Choi, Tae Gyu Jo, Yong Hwa Aryal, Saurav Nath Yoo, Ji Youn Yun, Hyeong Rok Lee, Jae Woong Eun, Young Gyu Lee, Ju-Seog Kang, Insug Ha, Joohun Yoon, Hwi-Joong Kim, Si-Young Kim, Sung Soo |
author_facet | Shahid, Muhammad Cho, Kyoung Min Nguyen, Minh Nam Choi, Tae Gyu Jo, Yong Hwa Aryal, Saurav Nath Yoo, Ji Youn Yun, Hyeong Rok Lee, Jae Woong Eun, Young Gyu Lee, Ju-Seog Kang, Insug Ha, Joohun Yoon, Hwi-Joong Kim, Si-Young Kim, Sung Soo |
author_sort | Shahid, Muhammad |
collection | PubMed |
description | Gliomas are the most common and aggressive primary tumors in adults. The current approaches, such as histological classification and molecular genetics, have limitation in prediction of individual therapeutic outcomes due to heterogeneity within the tumor groups. Recent studies have proposed several gene signatures to predict glioma's prognosis. However, most of the gene expression profiling studies have been performed on relatively small number of patients and combined probes from diverse microarray chips. Here, we identified prognostic 89 common genes from diverse microarray chips. The 89-gene signature classified patients into good and bad prognostic groups which differed in the overall survival significantly, reflecting the biological characteristics and heterogeneity. The robustness and accuracy of the gene signature as an independent prognostic factor was validated in three microarray and one RNA-seq data sets independently. By incorporating into histological classification and molecular marker, the 89-gene signature could further stratify patients with 1p/19q co-deletion and IDH1 mutation. Additionally, subset analyses suggested that the 89-gene signature could predict patients who would benefit from adjuvant chemotherapy. Conclusively, we propose that the 89-gene signature would have an independent and accurate prognostic value for clinical use. This study also offers opportunities for novel targeted treatment of individual patients. |
format | Online Article Text |
id | pubmed-5239472 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Impact Journals LLC |
record_format | MEDLINE/PubMed |
spelling | pubmed-52394722017-01-24 Prognostic value and their clinical implication of 89-gene signature in glioma Shahid, Muhammad Cho, Kyoung Min Nguyen, Minh Nam Choi, Tae Gyu Jo, Yong Hwa Aryal, Saurav Nath Yoo, Ji Youn Yun, Hyeong Rok Lee, Jae Woong Eun, Young Gyu Lee, Ju-Seog Kang, Insug Ha, Joohun Yoon, Hwi-Joong Kim, Si-Young Kim, Sung Soo Oncotarget Research Paper Gliomas are the most common and aggressive primary tumors in adults. The current approaches, such as histological classification and molecular genetics, have limitation in prediction of individual therapeutic outcomes due to heterogeneity within the tumor groups. Recent studies have proposed several gene signatures to predict glioma's prognosis. However, most of the gene expression profiling studies have been performed on relatively small number of patients and combined probes from diverse microarray chips. Here, we identified prognostic 89 common genes from diverse microarray chips. The 89-gene signature classified patients into good and bad prognostic groups which differed in the overall survival significantly, reflecting the biological characteristics and heterogeneity. The robustness and accuracy of the gene signature as an independent prognostic factor was validated in three microarray and one RNA-seq data sets independently. By incorporating into histological classification and molecular marker, the 89-gene signature could further stratify patients with 1p/19q co-deletion and IDH1 mutation. Additionally, subset analyses suggested that the 89-gene signature could predict patients who would benefit from adjuvant chemotherapy. Conclusively, we propose that the 89-gene signature would have an independent and accurate prognostic value for clinical use. This study also offers opportunities for novel targeted treatment of individual patients. Impact Journals LLC 2016-06-13 /pmc/articles/PMC5239472/ /pubmed/27323413 http://dx.doi.org/10.18632/oncotarget.9983 Text en Copyright: © 2016 Shahid et al. http://creativecommons.org/licenses/by/2.5/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Paper Shahid, Muhammad Cho, Kyoung Min Nguyen, Minh Nam Choi, Tae Gyu Jo, Yong Hwa Aryal, Saurav Nath Yoo, Ji Youn Yun, Hyeong Rok Lee, Jae Woong Eun, Young Gyu Lee, Ju-Seog Kang, Insug Ha, Joohun Yoon, Hwi-Joong Kim, Si-Young Kim, Sung Soo Prognostic value and their clinical implication of 89-gene signature in glioma |
title | Prognostic value and their clinical implication of 89-gene signature in glioma |
title_full | Prognostic value and their clinical implication of 89-gene signature in glioma |
title_fullStr | Prognostic value and their clinical implication of 89-gene signature in glioma |
title_full_unstemmed | Prognostic value and their clinical implication of 89-gene signature in glioma |
title_short | Prognostic value and their clinical implication of 89-gene signature in glioma |
title_sort | prognostic value and their clinical implication of 89-gene signature in glioma |
topic | Research Paper |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5239472/ https://www.ncbi.nlm.nih.gov/pubmed/27323413 http://dx.doi.org/10.18632/oncotarget.9983 |
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