Molecular profiles of tumor contrast enhancement: A radiogenomic analysis in anaplastic gliomas
Abstract 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 mo...
| Main Authors: | , , , , , , , , , |
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| Format: | Article |
| Language: | English |
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Wiley
2018-09-01
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| Series: | Cancer Medicine |
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| Online Access: | https://doi.org/10.1002/cam4.1672 |
| _version_ | 1818441786539900928 |
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| author | Xing Liu Yiming Li Zhiyan Sun Shaowu Li Kai Wang Xing Fan Yuqing Liu Lei Wang Yinyan Wang Tao Jiang |
| author_facet | Xing Liu Yiming Li Zhiyan Sun Shaowu Li Kai Wang Xing Fan Yuqing Liu Lei Wang Yinyan Wang Tao Jiang |
| author_sort | Xing Liu |
| collection | DOAJ |
| description | Abstract 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. |
| first_indexed | 2024-12-14T18:33:47Z |
| format | Article |
| id | doaj.art-08d5c7bc1ac14db49f1b491d8e272cc6 |
| institution | Directory Open Access Journal |
| issn | 2045-7634 |
| language | English |
| last_indexed | 2024-12-14T18:33:47Z |
| publishDate | 2018-09-01 |
| publisher | Wiley |
| record_format | Article |
| series | Cancer Medicine |
| spelling | doaj.art-08d5c7bc1ac14db49f1b491d8e272cc62022-12-21T22:51:41ZengWileyCancer Medicine2045-76342018-09-01794273428310.1002/cam4.1672Molecular profiles of tumor contrast enhancement: A radiogenomic analysis in anaplastic gliomasXing Liu0Yiming Li1Zhiyan Sun2Shaowu Li3Kai Wang4Xing Fan5Yuqing Liu6Lei Wang7Yinyan Wang8Tao Jiang9Beijing Neurosurgical Institute Capital Medical University Beijing ChinaBeijing Neurosurgical Institute Capital Medical University Beijing ChinaBeijing Neurosurgical Institute Capital Medical University Beijing ChinaNeurological Imaging Center Beijing Neurosurgical Institute Capital Medical University Beijing ChinaDepartment of Neuroradiology Beijing Tiantan Hospital Capital Medical University Beijing ChinaBeijing Neurosurgical Institute Capital Medical University Beijing ChinaMolecular Pathology Center Beijing Neurosurgical Institute Capital Medical University Beijing ChinaDepartment of Neurosurgery Beijing Tiantan Hospital Capital Medical University Beijing ChinaDepartment of Neurosurgery Beijing Tiantan Hospital Capital Medical University Beijing ChinaBeijing Neurosurgical Institute Capital Medical University Beijing ChinaAbstract 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.https://doi.org/10.1002/cam4.1672anaplastic gliomapostcontrast enhancementradiogenomic analysistranscriptome |
| spellingShingle | Xing Liu Yiming Li Zhiyan Sun Shaowu Li Kai Wang Xing Fan Yuqing Liu Lei Wang Yinyan Wang Tao Jiang Molecular profiles of tumor contrast enhancement: A radiogenomic analysis in anaplastic gliomas Cancer Medicine anaplastic glioma postcontrast enhancement radiogenomic analysis transcriptome |
| 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 | anaplastic glioma postcontrast enhancement radiogenomic analysis transcriptome |
| url | https://doi.org/10.1002/cam4.1672 |
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