CASIA OpenIR
Radiogenomics of lower-grade gliomas: a radiomic signature as a biological surrogate for survival prediction
Qian, Zenghui1; Li, Yiming1; Sun, Zhiyan1; Fan, Xing1,2; Xu, Kaibin6; Wang, Kai4; Li, Shaowu1,3; Zhang, Zhong2; Jiang, Tao1,2,5; Liu, Xing1; Wang, Yinyan2
Source PublicationAGING-US
ISSN1945-4589
2018-10-01
Volume10Issue:10Pages:2884-2899
Corresponding AuthorJiang, Tao(taojiang1964@163.com) ; Liu, Xing(15846591696@126.com) ; Wang, Yinyan(tiantanyinyan@126.com)
AbstractObjective: We aimed to identify a radiomic signature to be used as a noninvasive biomarker of prognosis in patients with lower-grade gliomas (LGGs) and to reveal underlying biological processes through comprehensive radiogenomic investigation. Methods: We extracted 55 radiomic features from T2-weighted images of 233 patients with LGGs (training cohort: n = 85; validation cohort: n = 148). Univariate Cox regression and linear risk score formula were applied to generate a radiomic-based signature. Gene ontology analysis of highly expressed genes in the high-risk score group was conducted to establish a radiogenomic map. A nomogram was constructed for individualized survival prediction. Results: The six-feature radiomic signature stratified patients in the training cohort into low- or high-risk groups for overall survival (P = 0.0018). This result was successfully verified in the validation cohort (P = 0.0396). Radiogenomic analysis revealed that the prognostic radiomic signature was associated with hypoxia, angiogenesis, apoptosis, and cell proliferation. The nomogram resulted in high prognostic accuracy (C-index: 0.92, C-index: 0.70) and favorable calibration for individualized survival prediction in the training and validation cohorts. Conclusions: Our results suggest a great potential for the use of radiomic signature as a biological surrogate in providing prognostic information for patients with LGGs.
Keywordgliomas prognosis genetics magnetic resonance imaging biomarkers
DOI10.18632/aging.101594
WOS KeywordCENTRAL-NERVOUS-SYSTEM ; IMAGING PREDICTOR ; TERT PROMOTER ; CLASSIFICATION ; FEATURES ; HETEROGENEITY ; MUTATIONS ; BRAIN ; MRI ; PROCARBAZINE
Indexed BySCI
Language英语
Funding ProjectBeijing Natural Science Foundation[7174295] ; National Natural Science Foundation of China[81601452] ; Beijing Postdoctoral Research Foundation[2016ZZ-37]
Funding OrganizationBeijing Natural Science Foundation ; National Natural Science Foundation of China ; Beijing Postdoctoral Research Foundation
WOS Research AreaCell Biology ; Geriatrics & Gerontology
WOS SubjectCell Biology ; Geriatrics & Gerontology
WOS IDWOS:000451851600033
PublisherIMPACT JOURNALS LLC
Citation statistics
Document Type期刊论文
Identifierhttp://ir.ia.ac.cn/handle/173211/25720
Collection中国科学院自动化研究所
Corresponding AuthorJiang, Tao; Liu, Xing; Wang, Yinyan
Affiliation1.Capital Med Univ, Beijing Neurosurg Inst, Beijing, Peoples R China
2.Capital Med Univ, Beijing Tiantan Hosp, Dept Neurosurg, Beijing, Peoples R China
3.Capital Med Univ, Beijing Tiantan Hosp, Dept Neuroradiol, Beijing, Peoples R China
4.Capital Med Univ, Beijing Tiantan Hosp, Dept Nucl Med, Beijing, Peoples R China
5.Beijing Inst Brain Disorders, Ctr Brain Tumor, Beijing, Peoples R China
6.Chinese Acad Sci, Inst Automat, Beijing, Peoples R China
Recommended Citation
GB/T 7714
Qian, Zenghui,Li, Yiming,Sun, Zhiyan,et al. Radiogenomics of lower-grade gliomas: a radiomic signature as a biological surrogate for survival prediction[J]. AGING-US,2018,10(10):2884-2899.
APA Qian, Zenghui.,Li, Yiming.,Sun, Zhiyan.,Fan, Xing.,Xu, Kaibin.,...&Wang, Yinyan.(2018).Radiogenomics of lower-grade gliomas: a radiomic signature as a biological surrogate for survival prediction.AGING-US,10(10),2884-2899.
MLA Qian, Zenghui,et al."Radiogenomics of lower-grade gliomas: a radiomic signature as a biological surrogate for survival prediction".AGING-US 10.10(2018):2884-2899.
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