Radiomic signatures reveal multiscale intratumor heterogeneity associated with tissue tolerance and survival in re-irradiated nasopharyngeal carcinoma: a multicenter study

doi:10.1186/s12916-023-03164-3

CORC > 自动化研究所 > 中国科学院自动化研究所 > 中国科学院分子影像重点实验室

	Radiomic signatures reveal multiscale intratumor heterogeneity associated with tissue tolerance and survival in re-irradiated nasopharyngeal carcinoma: a multicenter study
	Liu, Ting 1,2,3; Dong, Di 4,5; Zhao, Xun 4,5; Ou, Xiao-Min 6,7; Yi, Jun-Lin 8; Guan, Jian 9; Zhang, Ye 8; Xiao-Fei, Lv 1,10; Xie, Chuan-Miao 1,10; Luo, Dong-Hua 1,2
刊名	BMC MEDICINE
	2023-11-27
卷号	21 期号:1 页码:13
关键词	Recurrent nasopharyngeal carcinoma Re-radiotherapy Nasopharyngeal necrosis Radiomics
ISSN号	1741-7015
DOI	10.1186/s12916-023-03164-3
通讯作者	Mai, Hai-Qiang(maihq@sysucc.org.cn) ; Tian, Jie(jie.tian@ia.ac.cn) ; Tang, Lin-Quan(tanglq@sysucc.org.cn)
英文摘要	Background Post-radiation nasopharyngeal necrosis (PRNN) is a severe adverse event following re-radiotherapy for patients with locally recurrent nasopharyngeal carcinoma (LRNPC) and associated with decreased survival. Biological heterogeneity in recurrent tumors contributes to the different risks of PRNN. Radiomics can be used to mine high-throughput non-invasive image features to predict clinical outcomes and capture underlying biological functions. We aimed to develop a radiogenomic signature for the pre-treatment prediction of PRNN to guide re-radiotherapy in patients with LRNPC.Methods This multicenter study included 761 re-irradiated patients with LRNPC at four centers in NPC endemic area and divided them into training, internal validation, and external validation cohorts. We built a machine learning (random forest) radiomic signature based on the pre-treatment multiparametric magnetic resonance images for predicting PRNN following re-radiotherapy. We comprehensively assessed the performance of the radiomic signature. Transcriptomic sequencing and gene set enrichment analyses were conducted to identify the associated biological processes.Results The radiomic signature showed discrimination of 1-year PRNN in the training, internal validation, and external validation cohorts (area under the curve (AUC) 0.713-0.756). Stratified by a cutoff score of 0.735, patients with high-risk signature had higher incidences of PRNN than patients with low-risk signature (1-year PRNN rates 42.2-62.5% vs. 16.3-18.8%, P < 0.001). The signature significantly outperformed the clinical model (P < 0.05) and was generalizable across different centers, imaging parameters, and patient subgroups. The radiomic signature had prognostic value concerning its correlation with PRNN-related deaths (hazard ratio (HR) 3.07-6.75, P < 0.001) and all causes of deaths (HR 1.53-2.30, P < 0.01). Radiogenomics analyses revealed associations between the radiomic signature and signaling pathways involved in tissue fibrosis and vascularity.Conclusions We present a radiomic signature for the individualized risk assessment of PRNN following re-radiotherapy, which may serve as a noninvasive radio-biomarker of radiation injury-associated processes and a useful clinical tool to personalize treatment recommendations for patients with LANPC.
资助项目	National Natural Science Foundation of China ; Institute of Automation, Chinese Academy of Sciences (Peking, China)
WOS关键词	INTENSITY-MODULATED RADIOTHERAPY ; REIRRADIATION ; CANCER ; NOMOGRAM ; FEATURES ; PREDICT ; SYSTEM ; HEAD
WOS研究方向	General & Internal Medicine
语种	英语
出版者	BMC
WOS记录号	WOS:001110517200001
资助机构	National Natural Science Foundation of China ; Institute of Automation, Chinese Academy of Sciences (Peking, China)
内容类型	期刊论文
源URL	[http://ir.ia.ac.cn/handle/173211/55216]
专题	自动化研究所_中国科学院分子影像重点实验室
通讯作者	Mai, Hai-Qiang; Tian, Jie; Tang, Lin-Quan
作者单位	1.Sun Yat Sen Univ, Guangdong Key Lab Nasopharyngeal Carcinoma Diag &, Canc Ctr, State Key Lab Oncol South China Collaborat Innova, Guangzhou, Peoples R China 2.Sun Yat sen Univ, Canc Ctr, Dept Nasopharyngeal Carcinoma, 651 Dongfeng Rd East, Guangzhou 510060, Peoples R China 3.Sun Yat Sen Univ, Affiliated Hosp 1, Breast Dis Ctr, Guangzhou, Peoples R China 4.Chinese Acad Sci, Inst Automat, CAS Key Lab Mol Imaging, Beijing 100190, Peoples R China 5.Univ Chinese Acad Sci, Sch Artificial Intelligence, Beijing, Peoples R China 6.Fudan Univ, Dept Radiat Oncol, Shanghai Canc Ctr, Shanghai, Peoples R China 7.Fudan Univ, Shanghai Med Coll, Dept Oncol, Shanghai, Peoples R China 8.Chinese Acad Med Sci & Peking Union Med Coll, Natl Canc Ctr, Natl Clin Res Ctr Canc, Dept Radiat Oncol,Canc Hosp, Beijing, Peoples R China 9.Southern Med Univ, Nanfang Hosp, Dept Radiat Oncol, Guangzhou, Peoples R China 10.Sun Yat Sen Univ, Dept Radiol, Canc Ctr, Guangzhou, Peoples R China
推荐引用方式 GB/T 7714	Liu, Ting,Dong, Di,Zhao, Xun,et al. Radiomic signatures reveal multiscale intratumor heterogeneity associated with tissue tolerance and survival in re-irradiated nasopharyngeal carcinoma: a multicenter study[J]. BMC MEDICINE,2023,21(1):13.
APA	Liu, Ting.,Dong, Di.,Zhao, Xun.,Ou, Xiao-Min.,Yi, Jun-Lin.,...&Tang, Lin-Quan.(2023).Radiomic signatures reveal multiscale intratumor heterogeneity associated with tissue tolerance and survival in re-irradiated nasopharyngeal carcinoma: a multicenter study.BMC MEDICINE,21(1),13.
MLA	Liu, Ting,et al."Radiomic signatures reveal multiscale intratumor heterogeneity associated with tissue tolerance and survival in re-irradiated nasopharyngeal carcinoma: a multicenter study".BMC MEDICINE 21.1(2023):13.