Radiomic signatures associated with tumor immune heterogeneity predict survival in locally recurrent nasopharyngeal carcinoma

doi:10.1093/jnci/djae081

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 associated with tumor immune heterogeneity predict survival in locally recurrent nasopharyngeal carcinoma
	Lin, Da-Feng 13,14,15,16,17; Li, Hai-Lin 11,12; Liu, Ting 10,13,14,15,16,17; Lv, Xiao-Fei 9,13,14,15,16; Xie, Chuan-Miao 9,13,14,15,16; Ou, Xiao-Min 7,8; Guan, Jian 6; Zhang, Ye 5; Yan, Wen-Bin 7,8; He, Mei-Lin
刊名	JNCI-JOURNAL OF THE NATIONAL CANCER INSTITUTE
	2024-04-19
页码	10
ISSN号	0027-8874
DOI	10.1093/jnci/djae081
通讯作者	Tang, Lin-Quan(tanglq@sysucc.org.cn)
英文摘要	Background The prognostic value of traditional clinical indicators for locally recurrent nasopharyngeal carcinoma is limited because of their inability to reflect intratumor heterogeneity. We aimed to develop a radiomic signature to reveal tumor immune heterogeneity and predict survival in locally recurrent nasopharyngeal carcinoma.Methods This multicenter, retrospective study included 921 patients with locally recurrent nasopharyngeal carcinoma. A machine learning signature and nomogram based on pretreatment magnetic resonance imaging features were developed for predicting overall survival in a training cohort and validated in 2 independent cohorts. A clinical nomogram and an integrated nomogram were constructed for comparison. Nomogram performance was evaluated by concordance index and receiver operating characteristic curve analysis. Accordingly, patients were classified into risk groups. The biological characteristics and immune infiltration of the signature were explored by RNA-sequencing analysis.Results The machine learning signature and nomogram demonstrated comparable prognostic ability to a clinical nomogram, achieving concordance indexes of 0.729, 0.718, and 0.731 in the training, internal, and external validation cohorts, respectively. Integration of the signature and clinical variables statistically improved the predictive performance. The proposed signature effectively distinguished patients between risk groups with statistically distinct overall survival rates. Subgroup analysis indicated the recommendation of local salvage treatments for low-risk patients. Exploratory RNA-sequencing analysis revealed differences in interferon response and lymphocyte infiltration between risk groups.Conclusions A magnetic resonance imaging-based radiomic signature predicted overall survival more accurately. The proposed signature associated with tumor immune heterogeneity may serve as a valuable tool to facilitate prognostic stratification and guide individualized management for locally recurrent nasopharyngeal carcinoma patients.
资助项目	National Key Research and Development Program of China ; Institute of Automation, Chinese Academy of Sciences (Beijing, China)
WOS关键词	INTENSITY-MODULATED RADIOTHERAPY ; 1ST-LINE TREATMENT ; PROGNOSTIC-FACTORS ; PLUS CHEMOTHERAPY ; CLINICAL-RESPONSE ; OPEN-LABEL ; MULTICENTER ; CANCER ; MODEL
WOS研究方向	Oncology
语种	英语
出版者	OXFORD UNIV PRESS INC
WOS记录号	WOS:001228741800001
资助机构	National Key Research and Development Program of China ; Institute of Automation, Chinese Academy of Sciences (Beijing, China)
内容类型	期刊论文
源URL	[http://ir.ia.ac.cn/handle/173211/58430]
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	Tang, Lin-Quan
作者单位	1.Natl Key Lab Kidney Dis, Beijing, Peoples R China 2.Sun Yat Sen Univ, Canc Ctr, Dept VIP Inpatient, Guangzhou, Peoples R China 3.Jinan Univ, Affiliated Hosp 1, Dept Oncol, Guangzhou, Peoples R China 4.Univ Chinese Acad Sci, Sch Artificial Intelligence, Beijing, Peoples R China 5.Chinese Acad Med Sci & Peking Union Med Coll, Canc Hosp, Natl Clin Res Ctr Canc, Dept Radiat Oncol,Natl Canc Ctr, Beijing, Peoples R China 6.Southern Med Univ, Nanfang Hosp, Dept Radiat Oncol, Guangzhou, Peoples R China 7.Fudan Univ, Shanghai Med Coll, Dept Oncol, Shanghai, Peoples R China 8.Fudan Univ, Shanghai Canc Ctr, Dept Radiat Oncol, Shanghai, Peoples R China 9.Sun Yat Sen Univ, Canc Ctr, Dept Radiol, Guangzhou, Peoples R China 10.Sun Yat Sen Univ, Affiliated Hosp 1, Breast Dis Ctr, Dept Breast Surg, Guangzhou, Peoples R China
推荐引用方式 GB/T 7714	Lin, Da-Feng,Li, Hai-Lin,Liu, Ting,et al. Radiomic signatures associated with tumor immune heterogeneity predict survival in locally recurrent nasopharyngeal carcinoma[J]. JNCI-JOURNAL OF THE NATIONAL CANCER INSTITUTE,2024:10.
APA	Lin, Da-Feng.,Li, Hai-Lin.,Liu, Ting.,Lv, Xiao-Fei.,Xie, Chuan-Miao.,...&Dong, Di.(2024).Radiomic signatures associated with tumor immune heterogeneity predict survival in locally recurrent nasopharyngeal carcinoma.JNCI-JOURNAL OF THE NATIONAL CANCER INSTITUTE,10.
MLA	Lin, Da-Feng,et al."Radiomic signatures associated with tumor immune heterogeneity predict survival in locally recurrent nasopharyngeal carcinoma".JNCI-JOURNAL OF THE NATIONAL CANCER INSTITUTE (2024):10.