中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
首页 机构 成果 学者
  
  1. CAS IR Grid
  2. 自动化研究所
  3. 中国科学院自动化研究所
  4. 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

文献类型：期刊论文

作者Lin, Da-Feng1,2,3,4,5; Li, Hai-Lin6,7; Liu, Ting1,2,3,4,5,8; Lv, Xiao-Fei2,3,4,5,9; Xie, Chuan-Miao2,3,4,5,9; Ou, Xiao-Min10,11; Guan, Jian12; Zhang, Ye13; Yan, Wen-Bin10,11; He, Mei-Lin
刊名JNCI-JOURNAL OF THE NATIONAL CANCER INSTITUTE
出版日期2024-04-19
页码10
ISSN号0027-8874
DOI10.1093/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.
WOS关键词INTENSITY-MODULATED RADIOTHERAPY ; 1ST-LINE TREATMENT ; PROGNOSTIC-FACTORS ; PLUS CHEMOTHERAPY ; CLINICAL-RESPONSE ; OPEN-LABEL ; MULTICENTER ; CANCER ; MODEL
资助项目National Key Research and Development Program of China ; Institute of Automation, Chinese Academy of Sciences (Beijing, China)
WOS研究方向Oncology
语种英语
WOS记录号WOS:001228741800001
出版者OXFORD UNIV PRESS INC
资助机构National Key Research and Development Program of China ; Institute of Automation, Chinese Academy of Sciences (Beijing, China)
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.Sun Yat Sen Univ, Canc Ctr, Dept Nasopharyngeal Carcinoma, 651 Dongfeng Rd East, Guangzhou 510060, Peoples R China
2.State Key Lab Oncol South China, Guangzhou, Peoples R China
3.Collaborat Innovat Ctr Canc Med, Guangzhou, Peoples R China
4.Guangdong Key Lab Nasopharyngeal Carcinoma Diag &, Guangzhou, Peoples R China
5.Guangdong Prov Clin Res Ctr Canc, Guangzhou, Peoples R China
6.Beihang Univ, Sch Engn Med, Beijing, Peoples R China
7.Chinese Acad Sci, Inst Automat, Key Lab Mol Imaging, Beijing, Peoples R China
8.Sun Yat Sen Univ, Affiliated Hosp 1, Breast Dis Ctr, Dept Breast Surg, Guangzhou, Peoples R China
9.Sun Yat Sen Univ, Canc Ctr, Dept Radiol, Guangzhou, Peoples R China
10.Fudan Univ, Shanghai Canc Ctr, Dept Radiat Oncol, Shanghai, 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.

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。