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Incremental prognostic value and underlying biological pathways of radiomics patterns in medulloblastoma

Authors :
Shenghai Zhang
Haibiao Zhao
Wenchao Duan
Tao Sun
Binke Yuan
Li Wang
Zhen-Yu Zhang
Xiangxiang Wang
Wencai Li
Dongling Pei
Xuanke Hong
Weiwei Wang
Chen Sun
Kay Ka-Wai Li
Yunbo Zhan
Zhen Liu
Wenqing Wang
Xianzhi Liu
Lei Liu
Jingliang Cheng
Yu Guo
Jing Yan
Ke Li
Zhicheng Li
Ho Keung Ng
Source :
EBioMedicine, Vol 61, Iss, Pp 103093-(2020), EBioMedicine
Publication Year :
2020
Publisher :
Elsevier, 2020.

Abstract

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.

Details

Language :
English
ISSN :
23523964
Volume :
61
Database :
OpenAIRE
Journal :
EBioMedicine
Accession number :
edsair.doi.dedup.....f76b0f234deb5d8b243a900da89520c2