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Identification of biomarkers for pseudo and true progression of GBM based on radiogenomics study
The diagnosis for pseudoprogression (PsP) and true tumor progression (TTP) of GBM is a challenging task in clinical practices. The purpose of this study is to identify potential genetic biomarkers associated with PsP and TTP based on the clinical records, longitudinal imaging features, and genomics...
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/PMC5342424/ https://www.ncbi.nlm.nih.gov/pubmed/27421136 http://dx.doi.org/10.18632/oncotarget.10553 |
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author | Qian, Xiaohua Tan, Hua Zhang, Jian Liu, Keqin Yang, Tielin Wang, Maode Debinskie, Waldemar Zhao, Weilin Chan, Michael D. Zhou, Xiaobo |
author_facet | Qian, Xiaohua Tan, Hua Zhang, Jian Liu, Keqin Yang, Tielin Wang, Maode Debinskie, Waldemar Zhao, Weilin Chan, Michael D. Zhou, Xiaobo |
author_sort | Qian, Xiaohua |
collection | PubMed |
description | The diagnosis for pseudoprogression (PsP) and true tumor progression (TTP) of GBM is a challenging task in clinical practices. The purpose of this study is to identify potential genetic biomarkers associated with PsP and TTP based on the clinical records, longitudinal imaging features, and genomics data. We are the first to introduce the radiogenomics approach to identify candidate genes for PsP and TTP of GBM. Specifically, a novel longitudinal sparse regression model was developed to construct the relationship between gene expression and imaging features. The imaging features were extracted from tumors along the longitudinal MRI and provided diagnostic information of PsP and TTP. The 33 candidate genes were selected based on their association with the imaging features, reflecting their relation with the development of PsP and TTP. We then conducted biological relevance analysis for 33 candidate genes to identify the potential biomarkers, i.e., Interferon regulatory factor (IRF9) and X-ray repair cross-complementing gene (XRCC1), which were involved in the cancer suppression and prevention, respectively. The IRF9 and XRCC1 were further independently validated in the TCGA data. Our results provided the first substantial evidence that IRF9 and XRCC1 can serve as the potential biomarkers for the development of PsP and TTP. |
format | Online Article Text |
id | pubmed-5342424 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Impact Journals LLC |
record_format | MEDLINE/PubMed |
spelling | pubmed-53424242017-03-22 Identification of biomarkers for pseudo and true progression of GBM based on radiogenomics study Qian, Xiaohua Tan, Hua Zhang, Jian Liu, Keqin Yang, Tielin Wang, Maode Debinskie, Waldemar Zhao, Weilin Chan, Michael D. Zhou, Xiaobo Oncotarget Research Paper The diagnosis for pseudoprogression (PsP) and true tumor progression (TTP) of GBM is a challenging task in clinical practices. The purpose of this study is to identify potential genetic biomarkers associated with PsP and TTP based on the clinical records, longitudinal imaging features, and genomics data. We are the first to introduce the radiogenomics approach to identify candidate genes for PsP and TTP of GBM. Specifically, a novel longitudinal sparse regression model was developed to construct the relationship between gene expression and imaging features. The imaging features were extracted from tumors along the longitudinal MRI and provided diagnostic information of PsP and TTP. The 33 candidate genes were selected based on their association with the imaging features, reflecting their relation with the development of PsP and TTP. We then conducted biological relevance analysis for 33 candidate genes to identify the potential biomarkers, i.e., Interferon regulatory factor (IRF9) and X-ray repair cross-complementing gene (XRCC1), which were involved in the cancer suppression and prevention, respectively. The IRF9 and XRCC1 were further independently validated in the TCGA data. Our results provided the first substantial evidence that IRF9 and XRCC1 can serve as the potential biomarkers for the development of PsP and TTP. Impact Journals LLC 2016-07-13 /pmc/articles/PMC5342424/ /pubmed/27421136 http://dx.doi.org/10.18632/oncotarget.10553 Text en Copyright: © 2016 Qian 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 Qian, Xiaohua Tan, Hua Zhang, Jian Liu, Keqin Yang, Tielin Wang, Maode Debinskie, Waldemar Zhao, Weilin Chan, Michael D. Zhou, Xiaobo Identification of biomarkers for pseudo and true progression of GBM based on radiogenomics study |
title | Identification of biomarkers for pseudo and true progression of GBM based on radiogenomics study |
title_full | Identification of biomarkers for pseudo and true progression of GBM based on radiogenomics study |
title_fullStr | Identification of biomarkers for pseudo and true progression of GBM based on radiogenomics study |
title_full_unstemmed | Identification of biomarkers for pseudo and true progression of GBM based on radiogenomics study |
title_short | Identification of biomarkers for pseudo and true progression of GBM based on radiogenomics study |
title_sort | identification of biomarkers for pseudo and true progression of gbm based on radiogenomics study |
topic | Research Paper |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5342424/ https://www.ncbi.nlm.nih.gov/pubmed/27421136 http://dx.doi.org/10.18632/oncotarget.10553 |
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