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Development and validation of a computed tomography-based immune ecosystem diversity index as an imaging biomarker in non-small cell lung cancer.

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收录情况： ◇ SCIE

作者：
Lan He[1] * ; Zhen-Hui Li[1,2] * ; Li-Xu Yan[3] ; Xin Chen[4] ; Sebastian Sanduleanu[5] ; Wen-Zhao Zhong[6] ; Phillippe Lambin[5,7] ; Zhao-Xiang Ye[8] ; Ying-Shi Sun[9] ; Yu-Lin Liu[10] ; Jin-Rong Qu[11] ; Lin Wu[12] ; Chang-Ling Tu[13] ; Madeleine Scrivener[14] ; Thierry Pieters[15] ; Emmanuel Coche[16] ; Qian Yang[10] ; Mei Yang[17] ; Chang-Hong Liang[1,19] ; Yan-Qi Huang[1,18] ; Zai-Yi Liu[1,19] ;
机构： [1]Department of Radiology, Guangdong Provincial People’s Hospital, Guangdong Academy of Medical Sciences, 106 Zhongshan Er Road, Guangzhou 510080, China [2]Department of Radiology, The Third Affiliated Hospital of Kunming Medical University, Yunnan Cancer Hospital, Yunnan Cancer Center, Kunming, China [3]Department of Pathology, Guangdong Provincial People’s Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China [4]Department of Radiology, Guangzhou First People’s Hospital, School of Medicine, South China University of Technology, Guangzhou, China [5]The D-lab and the M-lab, Department of Precision Medicine, GROW-School for Oncology, Maastricht University, Maastricht, The Netherlands [6]Guangdong Lung Cancer Institute, Guangdong Provincial People’s Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China [7]Department of Radiology and NuclearMedicine, GROW-School for Oncology and Developmental Biology, Maastricht University Medical Centre+, Maastricht, The Netherlands [8]Department of Radiology, Tianjin Medical University Cancer Institute and Hospital, Tianjin, China [9]Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department Radiology, Peking University Cancer Hospital & Institute, Hai Dian District, Beijing, China [10]Department of Radiology, Hubei Cancer Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China [11]Department of Radiology, the Affiliated Cancer Hospital of Zhengzhou University & Henan Cancer Hospital, Zhengzhou China [12]Department of Pathology, The Third Affiliated Hospital of Kunming Medical University, Yunnan Cancer Hospital, Yunnan Cancer Center Kunming China [13]Department of Cadres Medical Oncology, The Third Affiliated Hospital of Kunming Medical University, Yunnan Cancer Hospital, Yunnan Cancer Center Kunming China [14]Department of Internal Medicine, Cliniques Universitaires St-Luc, Université Catholique de Louvain, Brussels Belgium [15]Departement of Pneumology, Cliniques Universitaires St-Luc, Université Catholique de Louvain, Brussels Belgium [16]Department of Radiology, Cliniques Universitaires St-Luc, Université Catholique de Louvain, Brussels Belgium [17]Department of Breast Cancer, Cancer Center, Guangdong Provincial People’s Hospital, Guangdong Academy of Medical Sciences, Guangzhou China [18]The Second School of Clinical Medicine, Southern Medical University, Guangzhou China [19]Guangdong Provincial Key Laboratory of Artificial Intelligence in Medical Image Analysis and Application, Guangdong Provincial People’s Hospital, Guangdong Academy of Medical Sciences, Guangzhou China
出处：
DOI： 10.1007/s00330-022-08873-6
ISSN：

关键词： Non-small cell lung cancer Immunohistochemistry Ecosystem Prognosis Computed tomography

摘要：
To date, there are no data on the noninvasive surrogate of intratumoural immune status that could be prognostic of survival outcomes in non-small cell lung cancer (NSCLC). We aimed to develop and validate the immune ecosystem diversity index (iEDI), an imaging biomarker, to indicate the intratumoural immune status in NSCLC. We further investigated the clinical relevance of the biomarker for survival prediction.In this retrospective study, two independent NSCLC cohorts (Resec1, n = 149; Resec2, n = 97) were included to develop and validate the iEDI to classify the intratumoural immune status. Paraffin-embedded resected specimens in Resec1 and Resec2 were stained by immunohistochemistry, and the density percentiles of CD3+, CD4+, and CD8+ T cells to all cells were quantified to estimate intratumoural immune status. Then, EDI features were extracted using preoperative computed tomography to develop an imaging biomarker, called iEDI, to determine the immune status. The prognostic value of iEDI was investigated on NSCLC patients receiving surgical resection (Resec1; Resec2; internal cohort Resec3, n = 419; external cohort Resec4, n = 96; and TCIA cohort Resec5, n = 55).iEDI successfully classified immune status in Resec1 (AUC 0.771, 95% confidence interval [CI] 0.759-0.783; and 0.770 through internal validation) and Resec2 (0.669, 0.647-0.691). Patients with higher iEDI-score had longer overall survival (OS) in Resec3 (unadjusted hazard ratio 0.335, 95%CI 0.206-0.546, p < 0.001), Resec4 (0.199, 0.040-1.000, p < 0.001), and TCIA (0.303, 0.098-0.944, p = 0.001).iEDI is a non-invasive surrogate of intratumoural immune status and prognostic of OS for NSCLC patients receiving surgical resection.• Decoding tumour immune microenvironment enables advanced biomarkers identification. • Immune ecosystem diversity index characterises intratumoural immune status noninvasively. • Immune ecosystem diversity index is prognostic for NSCLC patients.© 2022. The Author(s), under exclusive licence to European Society of Radiology.

基金：
National Key Research and Development Program of China (grant number 2021YFF1201003), the Key R&D Program of Guangdong Province of China (grant number 2021B0101420006), the National Science Fund for Distinguished Young Scholars (grant number 81925023), and the National Natural Scientific Foundation of China (grant number 81771912, 81901910, 82071892, and 82001986), the High-level Hospital Construction Project (DFJHBF202105)
语种：
外文
被引次数：
WOS：
PubmedID：
中科院(CAS)分区：
出版当年[2022]版：
大类 | 2 区 医学
小类 | 2 区 核医学
最新[2023]版：
大类 | 2 区 医学
小类 | 2 区 核医学
JCR分区：
出版当年[2021]版：
Q1 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING
最新[2023]版：
Q1 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING

影响因子： 最新[2023版] 最新五年平均 出版当年[2021版] 出版当年五年平均 出版前一年[2020版] 出版后一年[2022版]

第一作者：
第一作者机构： [1]Department of Radiology, Guangdong Provincial People’s Hospital, Guangdong Academy of Medical Sciences, 106 Zhongshan Er Road, Guangzhou 510080, China
共同第一作者：
通讯作者：
通讯机构： [1]Department of Radiology, Guangdong Provincial People’s Hospital, Guangdong Academy of Medical Sciences, 106 Zhongshan Er Road, Guangzhou 510080, China [18]The Second School of Clinical Medicine, Southern Medical University, Guangzhou China [19]Guangdong Provincial Key Laboratory of Artificial Intelligence in Medical Image Analysis and Application, Guangdong Provincial People’s Hospital, Guangdong Academy of Medical Sciences, Guangzhou China
推荐引用方式(GB/T 7714)：
Lan He,Zhen-Hui Li,Li-Xu Yan,et al.Development and validation of a computed tomography-based immune ecosystem diversity index as an imaging biomarker in non-small cell lung cancer.[J].EUROPEAN RADIOLOGY.2022,32(12):8726-8736.doi:10.1007/s00330-022-08873-6.
APA：
Lan He,Zhen-Hui Li,Li-Xu Yan,Xin Chen,Sebastian Sanduleanu...&Zai-Yi Liu.(2022).Development and validation of a computed tomography-based immune ecosystem diversity index as an imaging biomarker in non-small cell lung cancer..EUROPEAN RADIOLOGY,32,(12)
MLA：
Lan He,et al."Development and validation of a computed tomography-based immune ecosystem diversity index as an imaging biomarker in non-small cell lung cancer.".EUROPEAN RADIOLOGY 32..12(2022):8726-8736

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