Radiogenomics of lower-grade gliomas: a radiomic signature as a biological surrogate for survival prediction
文献类型：期刊论文
| 作者 | Qian, Zenghui1; Li, Yiming1 ; Sun, Zhiyan1; Fan, Xing1,2; Xu, Kaibin6; Wang, Kai4; Li, Shaowu1,3; Zhang, Zhong2; Jiang, Tao1,2,5; Liu, Xing1
|
| 刊名 | AGING-US
 |
| 出版日期 | 2018-10-01 |
| 卷号 | 10期号:10页码:2884-2899 |
| 关键词 | gliomas prognosis genetics magnetic resonance imaging biomarkers |
| ISSN号 | 1945-4589 |
| DOI | 10.18632/aging.101594 |
| 通讯作者 | Jiang, Tao(taojiang1964@163.com) ; Liu, Xing(15846591696@126.com) ; Wang, Yinyan(tiantanyinyan@126.com) |
| 英文摘要 | Objective: 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. |
| WOS关键词 | CENTRAL-NERVOUS-SYSTEM ; IMAGING PREDICTOR ; TERT PROMOTER ; CLASSIFICATION ; FEATURES ; HETEROGENEITY ; MUTATIONS ; BRAIN ; MRI ; PROCARBAZINE |
| 资助项目 | Beijing Natural Science Foundation[7174295] ; National Natural Science Foundation of China[81601452] ; Beijing Postdoctoral Research Foundation[2016ZZ-37] |
| WOS研究方向 | Cell Biology ; Geriatrics & Gerontology |
| 语种 | 英语 |
| WOS记录号 | WOS:000451851600033 |
| 出版者 | IMPACT JOURNALS LLC |
| 资助机构 | Beijing Natural Science Foundation ; National Natural Science Foundation of China ; Beijing Postdoctoral Research Foundation |
| 源URL | [http://ir.ia.ac.cn/handle/173211/25719]  |
| 专题 | 综合信息系统研究中心_脑机融合与认知评估 |
| 通讯作者 | Jiang, Tao; Liu, Xing; Wang, Yinyan |
| 作者单位 | 1.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 |
| 推荐引用方式 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. |
入库方式： OAI收割
来源：自动化研究所
浏览0
下载0
收藏0
其他版本
除非特别说明，本系统中所有内容都受版权保护，并保留所有权利。