Incremental prognostic value and underlying biological pathways of radiomics patterns in medulloblastoma
Background: To develop a radiomics signature for predicting overall survival (OS)/progression-free survival (PFS) in patients with medulloblastoma (MB), and to investigate the incremental prognostic value and biological pathways of the radiomics patterns. Methods: A radiomics signature was construct...
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| Format: | Article |
| Language: | English |
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Elsevier
2020-11-01
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| Series: | EBioMedicine |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2352396420304692 |
| _version_ | 1818969721336233984 |
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| author | Jing Yan Shenghai Zhang Kay Ka-Wai Li Weiwei Wang Ke Li Wenchao Duan Binke Yuan Li Wang Lei Liu Yunbo Zhan Dongling Pei Haibiao Zhao Tao Sun Chen Sun Wenqing Wang Zhen Liu Xuanke Hong Xiangxiang Wang Yu Guo Wencai Li Jingliang Cheng Xianzhi Liu Ho-Keung Ng Zhicheng Li Zhenyu Zhang |
| author_facet | Jing Yan Shenghai Zhang Kay Ka-Wai Li Weiwei Wang Ke Li Wenchao Duan Binke Yuan Li Wang Lei Liu Yunbo Zhan Dongling Pei Haibiao Zhao Tao Sun Chen Sun Wenqing Wang Zhen Liu Xuanke Hong Xiangxiang Wang Yu Guo Wencai Li Jingliang Cheng Xianzhi Liu Ho-Keung Ng Zhicheng Li Zhenyu Zhang |
| author_sort | Jing Yan |
| collection | DOAJ |
| description | Background: To develop a radiomics signature for predicting overall survival (OS)/progression-free survival (PFS) in patients with medulloblastoma (MB), and to investigate the incremental prognostic value and biological pathways of the radiomics patterns. Methods: A radiomics signature was constructed based on magnetic resonance imaging (MRI) from a training cohort (n = 83), and evaluated on a testing cohort (n = 83). Key pathways associated with the signature were identified by RNA-seq (GSE151519). Prognostic value of pathway genes was assessed in a public GSE85218 cohort. Findings: The radiomics-clinicomolecular signature predicted OS (C-index 0.762) and PFS (C-index 0.697) better than either the radiomics signature (C-index: OS: 0.649; PFS: 0.593) or the clinicomolecular signature (C-index: OS: 0.725; PFS: 0.691) alone, with a better calibration and classification accuracy (net reclassification improvement: OS: 0.298, P = 0.022; PFS: 0.252, P = 0.026). Nine pathways were significantly correlated with the radiomics signature. Average expression value of pathway genes achieved significant risk stratification in GSE85218 cohort (log-rank P = 0.016). Interpretation: This study demonstrated radiomics signature, which associated with dysregulated pathways, was an independent parameter conferring incremental value over clinicomolecular factors in survival predictions for MB patients. Funding: A full list of funding bodies that contributed to this study can be found in the Acknowledgements section. |
| first_indexed | 2024-12-20T14:25:05Z |
| format | Article |
| id | doaj.art-2917026bdf9341d6870d63915014ed13 |
| institution | Directory Open Access Journal |
| issn | 2352-3964 |
| language | English |
| last_indexed | 2024-12-20T14:25:05Z |
| publishDate | 2020-11-01 |
| publisher | Elsevier |
| record_format | Article |
| series | EBioMedicine |
| spelling | doaj.art-2917026bdf9341d6870d63915014ed132022-12-21T19:37:48ZengElsevierEBioMedicine2352-39642020-11-0161103093Incremental prognostic value and underlying biological pathways of radiomics patterns in medulloblastomaJing Yan0Shenghai Zhang1Kay Ka-Wai Li2Weiwei Wang3Ke Li4Wenchao Duan5Binke Yuan6Li Wang7Lei Liu8Yunbo Zhan9Dongling Pei10Haibiao Zhao11Tao Sun12Chen Sun13Wenqing Wang14Zhen Liu15Xuanke Hong16Xiangxiang Wang17Yu Guo18Wencai Li19Jingliang Cheng20Xianzhi Liu21Ho-Keung Ng22Zhicheng Li23Zhenyu Zhang24Department of MRI, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, ChinaInstitute of Biomedical and Health Engineering, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, ChinaDepartment of Anatomical and Cellular Pathology, Prince of Wales Hospital, The Chinese University of Hong Kong, Hong Kong, ChinaDepartment of Pathology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, ChinaDepartment of Neurosurgery, The First Affiliated Hospital of Zhengzhou University, Jian she Dong Road 1, Zhengzhou, Henan 450052, ChinaDepartment of Neurosurgery, The First Affiliated Hospital of Zhengzhou University, Jian she Dong Road 1, Zhengzhou, Henan 450052, ChinaInstitute for Brain Research and Rehabilitation, South China Normal University, ChinaDepartment of Pathology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, ChinaInstitute of Biomedical and Health Engineering, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, ChinaDepartment of Neurosurgery, The First Affiliated Hospital of Zhengzhou University, Jian she Dong Road 1, Zhengzhou, Henan 450052, ChinaDepartment of Neurosurgery, The First Affiliated Hospital of Zhengzhou University, Jian she Dong Road 1, Zhengzhou, Henan 450052, ChinaDepartment of Neurosurgery, The First Affiliated Hospital of Zhengzhou University, Jian she Dong Road 1, Zhengzhou, Henan 450052, ChinaDepartment of Neurosurgery, The First Affiliated Hospital of Zhengzhou University, Jian she Dong Road 1, Zhengzhou, Henan 450052, ChinaDepartment of Neurosurgery, The First Affiliated Hospital of Zhengzhou University, Jian she Dong Road 1, Zhengzhou, Henan 450052, ChinaDepartment of Neurosurgery, The First Affiliated Hospital of Zhengzhou University, Jian she Dong Road 1, Zhengzhou, Henan 450052, ChinaDepartment of Neurosurgery, The First Affiliated Hospital of Zhengzhou University, Jian she Dong Road 1, Zhengzhou, Henan 450052, ChinaDepartment of Neurosurgery, The First Affiliated Hospital of Zhengzhou University, Jian she Dong Road 1, Zhengzhou, Henan 450052, ChinaDepartment of Neurosurgery, The First Affiliated Hospital of Zhengzhou University, Jian she Dong Road 1, Zhengzhou, Henan 450052, ChinaDepartment of Neurosurgery, The First Affiliated Hospital of Zhengzhou University, Jian she Dong Road 1, Zhengzhou, Henan 450052, ChinaDepartment of Pathology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, ChinaDepartment of MRI, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, ChinaDepartment of Neurosurgery, The First Affiliated Hospital of Zhengzhou University, Jian she Dong Road 1, Zhengzhou, Henan 450052, ChinaDepartment of Anatomical and Cellular Pathology, Prince of Wales Hospital, The Chinese University of Hong Kong, Hong Kong, ChinaInstitute of Biomedical and Health Engineering, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China; Corresponding authors.Department of Neurosurgery, The First Affiliated Hospital of Zhengzhou University, Jian she Dong Road 1, Zhengzhou, Henan 450052, China; Corresponding authors.Background: To develop a radiomics signature for predicting overall survival (OS)/progression-free survival (PFS) in patients with medulloblastoma (MB), and to investigate the incremental prognostic value and biological pathways of the radiomics patterns. Methods: A radiomics signature was constructed based on magnetic resonance imaging (MRI) from a training cohort (n = 83), and evaluated on a testing cohort (n = 83). Key pathways associated with the signature were identified by RNA-seq (GSE151519). Prognostic value of pathway genes was assessed in a public GSE85218 cohort. Findings: The radiomics-clinicomolecular signature predicted OS (C-index 0.762) and PFS (C-index 0.697) better than either the radiomics signature (C-index: OS: 0.649; PFS: 0.593) or the clinicomolecular signature (C-index: OS: 0.725; PFS: 0.691) alone, with a better calibration and classification accuracy (net reclassification improvement: OS: 0.298, P = 0.022; PFS: 0.252, P = 0.026). Nine pathways were significantly correlated with the radiomics signature. Average expression value of pathway genes achieved significant risk stratification in GSE85218 cohort (log-rank P = 0.016). Interpretation: This study demonstrated radiomics signature, which associated with dysregulated pathways, was an independent parameter conferring incremental value over clinicomolecular factors in survival predictions for MB patients. Funding: A full list of funding bodies that contributed to this study can be found in the Acknowledgements section.http://www.sciencedirect.com/science/article/pii/S2352396420304692MedulloblastomaMolecularRadiomicsPrognosisPathway |
| spellingShingle | Jing Yan Shenghai Zhang Kay Ka-Wai Li Weiwei Wang Ke Li Wenchao Duan Binke Yuan Li Wang Lei Liu Yunbo Zhan Dongling Pei Haibiao Zhao Tao Sun Chen Sun Wenqing Wang Zhen Liu Xuanke Hong Xiangxiang Wang Yu Guo Wencai Li Jingliang Cheng Xianzhi Liu Ho-Keung Ng Zhicheng Li Zhenyu Zhang Incremental prognostic value and underlying biological pathways of radiomics patterns in medulloblastoma EBioMedicine Medulloblastoma Molecular Radiomics Prognosis Pathway |
| title | Incremental prognostic value and underlying biological pathways of radiomics patterns in medulloblastoma |
| title_full | Incremental prognostic value and underlying biological pathways of radiomics patterns in medulloblastoma |
| title_fullStr | Incremental prognostic value and underlying biological pathways of radiomics patterns in medulloblastoma |
| title_full_unstemmed | Incremental prognostic value and underlying biological pathways of radiomics patterns in medulloblastoma |
| title_short | Incremental prognostic value and underlying biological pathways of radiomics patterns in medulloblastoma |
| title_sort | incremental prognostic value and underlying biological pathways of radiomics patterns in medulloblastoma |
| topic | Medulloblastoma Molecular Radiomics Prognosis Pathway |
| url | http://www.sciencedirect.com/science/article/pii/S2352396420304692 |
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