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Molecular profiles of tumor contrast enhancement: A radiogenomic analysis in anaplastic gliomas

The presence of contrast enhancement (CE) on magnetic resonance (MR) imaging is conventionally regarded as an indicator for tumor malignancy. However, the biological behaviors and molecular mechanism of enhanced tumor are not well illustrated. The aim of this study was to investigate the molecular p...

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Autores principales: Liu, Xing, Li, Yiming, Sun, Zhiyan, Li, Shaowu, Wang, Kai, Fan, Xing, Liu, Yuqing, Wang, Lei, Wang, Yinyan, Jiang, Tao
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6144143/
https://www.ncbi.nlm.nih.gov/pubmed/30117304
http://dx.doi.org/10.1002/cam4.1672
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author Liu, Xing
Li, Yiming
Sun, Zhiyan
Li, Shaowu
Wang, Kai
Fan, Xing
Liu, Yuqing
Wang, Lei
Wang, Yinyan
Jiang, Tao
author_facet Liu, Xing
Li, Yiming
Sun, Zhiyan
Li, Shaowu
Wang, Kai
Fan, Xing
Liu, Yuqing
Wang, Lei
Wang, Yinyan
Jiang, Tao
author_sort Liu, Xing
collection PubMed
description The presence of contrast enhancement (CE) on magnetic resonance (MR) imaging is conventionally regarded as an indicator for tumor malignancy. However, the biological behaviors and molecular mechanism of enhanced tumor are not well illustrated. The aim of this study was to investigate the molecular profiles associated with anaplastic gliomas (AGs) presenting CE on postcontrast T1‐weighted MR imaging. In this retrospective database study, RNA sequencing and MR imaging data of 91 AGs from the Cancer Genome Atlas (TCGA) and 64 from the Chinese Glioma Genome Atlas (CGGA) were collected. Gene set enrichment analysis (GSEA), significant analysis of microarray, generalized linear models, and Least absolute shrinkage and selection operator algorithm were used to explore radiogenomic and prognostic signatures of AG patients. GSEA indicated that angiogenesis and epithelial‐mesenchymal transition were significantly associated with post‐CE. Genes driving immune system response, cell proliferation, and focal adhesions were also significantly enriched. Gene ontology of 237 differential genes indicated consistent results. A 48‐gene signature for CE was identified in TCGA and validated in CGGA dataset (area under the curve = 0.9787). Furthermore, seven genes derived from the CE‐specific signature could stratify AG patients into two subgroups based on overall survival time according to corresponding risk score. Comprehensive analysis of post‐CE and genomic characteristics leads to a better understanding of radiology‐pathology correlations. Our gene signature helps interpret the occurrence of radiological traits and predict clinical outcomes. Additionally, we found nine prognostic quantitative radiomic features of CE and investigated the underlying biological processes of them.
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spelling pubmed-61441432018-09-24 Molecular profiles of tumor contrast enhancement: A radiogenomic analysis in anaplastic gliomas Liu, Xing Li, Yiming Sun, Zhiyan Li, Shaowu Wang, Kai Fan, Xing Liu, Yuqing Wang, Lei Wang, Yinyan Jiang, Tao Cancer Med Clinical Cancer Research The presence of contrast enhancement (CE) on magnetic resonance (MR) imaging is conventionally regarded as an indicator for tumor malignancy. However, the biological behaviors and molecular mechanism of enhanced tumor are not well illustrated. The aim of this study was to investigate the molecular profiles associated with anaplastic gliomas (AGs) presenting CE on postcontrast T1‐weighted MR imaging. In this retrospective database study, RNA sequencing and MR imaging data of 91 AGs from the Cancer Genome Atlas (TCGA) and 64 from the Chinese Glioma Genome Atlas (CGGA) were collected. Gene set enrichment analysis (GSEA), significant analysis of microarray, generalized linear models, and Least absolute shrinkage and selection operator algorithm were used to explore radiogenomic and prognostic signatures of AG patients. GSEA indicated that angiogenesis and epithelial‐mesenchymal transition were significantly associated with post‐CE. Genes driving immune system response, cell proliferation, and focal adhesions were also significantly enriched. Gene ontology of 237 differential genes indicated consistent results. A 48‐gene signature for CE was identified in TCGA and validated in CGGA dataset (area under the curve = 0.9787). Furthermore, seven genes derived from the CE‐specific signature could stratify AG patients into two subgroups based on overall survival time according to corresponding risk score. Comprehensive analysis of post‐CE and genomic characteristics leads to a better understanding of radiology‐pathology correlations. Our gene signature helps interpret the occurrence of radiological traits and predict clinical outcomes. Additionally, we found nine prognostic quantitative radiomic features of CE and investigated the underlying biological processes of them. John Wiley and Sons Inc. 2018-08-16 /pmc/articles/PMC6144143/ /pubmed/30117304 http://dx.doi.org/10.1002/cam4.1672 Text en © 2018 The Authors. Cancer Medicine published by John Wiley & Sons Ltd. This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
spellingShingle Clinical Cancer Research
Liu, Xing
Li, Yiming
Sun, Zhiyan
Li, Shaowu
Wang, Kai
Fan, Xing
Liu, Yuqing
Wang, Lei
Wang, Yinyan
Jiang, Tao
Molecular profiles of tumor contrast enhancement: A radiogenomic analysis in anaplastic gliomas
title Molecular profiles of tumor contrast enhancement: A radiogenomic analysis in anaplastic gliomas
title_full Molecular profiles of tumor contrast enhancement: A radiogenomic analysis in anaplastic gliomas
title_fullStr Molecular profiles of tumor contrast enhancement: A radiogenomic analysis in anaplastic gliomas
title_full_unstemmed Molecular profiles of tumor contrast enhancement: A radiogenomic analysis in anaplastic gliomas
title_short Molecular profiles of tumor contrast enhancement: A radiogenomic analysis in anaplastic gliomas
title_sort molecular profiles of tumor contrast enhancement: a radiogenomic analysis in anaplastic gliomas
topic Clinical Cancer Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6144143/
https://www.ncbi.nlm.nih.gov/pubmed/30117304
http://dx.doi.org/10.1002/cam4.1672
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