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A clinically effective model based on cell-free DNA methylation and low-dose CT for risk stratification of pulmonary nodules

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收录情况： ◇ SCIE

作者：
Liang Wenhua[1] * ; Tao Jinsheng[2] * ; Cheng Chao[3] * ; Sun Haitao[4] * ; Ye Zhujia[2] * ; Wu Shuangxiu[2] ; Guo Yubiao[5] ; Zhang Jiaqing[6] ; Chen Qunqing[6] ; Liu Dan[7] ; Liu Lunxu[8] ; Tian Hui[9] ; Teng Lin[2] ; Zhong Nanshan[10] ; Fan Jian-Bing[11] ; He Jianxing[1] ;
机构： [1]Department of Thoracic Surgery and Oncology, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou Institute of Respiratory Disease & Health, China State Key Laboratory and National Clinical Research Center for Respiratory Disease, Guangzhou 510120, China [2]AnchorDx Medical Co., Ltd., Guangzhou 510320, China [3]Department of Thoracic Surgery, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou 510080, China [4]Clinical Biobank Center, Guangdong Provincial Clinical Research Center for Laboratory Medicine, Department of Laboratory Medicine, Microbiome Medicine Center, Zhujiang Hospital, Southern Medical University, Guangzhou 510280, China [5]Department of Pulmonary Medicine, The First Affiliated Hospital of Sun Yat Sen University, Guangzhou 510080, China [6]Department of Thoracic Surgery, Zhujiang Hospital, Southern Medical University, Guangzhou 510280 China [7]Department of Respiratory Medicine, West China Hospital of Sichuan University, Chengdu 610041, China [8]Department of Thoracic Surgery, West China Hospital of Sichuan University, Chengdu 610041, China [9]Department of Thoracic Surgery, QILU Hospital, Shandong University, Jinan 250012 China [10]Department of Respiratory Medicine, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou Institute of Respiratory Disease & Health, China State Key Laboratory and National Clinical Research Center for Respiratory Disease, Guangzhou, 510120, China [11]Department of Pathology, School of Basic Medical Science, Southern Medical University, Guangzhou 518055, China
出处：
DOI： 10.1016/j.xcrm.2024.101750

摘要：
Accurate, non-invasive, and cost-effective tools are needed to assist pulmonary nodule diagnosis and management due to increasing detection by low-dose computed tomography (LDCT). We perform genome-wide methylation sequencing on malignant and non-malignant lung tissues and designed a panel of 263 differential DNA methylation regions, which is used for targeted methylation sequencing on blood cell-free DNA (cfDNA) in two prospectively collected and retrospectively analyzed multicenter cohorts. We develop and optimize an integrative model for risk stratification of pulmonary nodules based on 40 cfDNA methylation biomarkers, age, and five simple computed tomography (CT) imaging features using machine learning approaches and validate its good performance in two cohorts. Using the two-threshold strategy can effectively reduce unnecessary invasive surgeries, overtreatment costs, and injury for patients with benign nodules while advising immediate treatment for patients with lung cancer, which can potentially improve the overall diagnosis of lung cancer following LDCT/CT screening.Copyright © 2024 The Author(s). Published by Elsevier Inc. All rights reserved.

基金：
This work was supported by the Major Project of Guangzhou National Laboratory (no. SRPG22-017), National Natural Science Foundation of China (nos. 82022048 and 82373121), the Science and Technology Planning Project of Guangzhou (no. 202206080013), the National Key Research & Development Programme (no. 2022YFC2505100), Scheme of Guangzhou Economic and Technological Development District for Leading Talents in Innovation and Entrepreneurship (no. 2017-L152), Scheme of Guangzhou for Leading Team in Innovation (no. 201909010010), Guangdong Science and Technology (2021A1515012), National Natural Science Foundation of China (82173182), Science and Technology Program of Sichuan (2023NSFSC1939), and 1.3.5 Project for Disciplines of Excellence, West China Hospital, Sichuan University (ZYJC 21054). We also thank all the project investigators of the clinic trials of NCT03181490 and NCT03651986.
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外文
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出版当年[2024]版：
无
最新[2023]版：
大类 | 1 区 医学
小类 | 1 区 医学：研究与实验 2 区 细胞生物学
JCR分区：
出版当年[2024]版：
无
最新[2023]版：
Q1 MEDICINE, RESEARCH & EXPERIMENTAL Q1 CELL BIOLOGY

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

第一作者：
第一作者机构： [1]Department of Thoracic Surgery and Oncology, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou Institute of Respiratory Disease & Health, China State Key Laboratory and National Clinical Research Center for Respiratory Disease, Guangzhou 510120, China
共同第一作者：
通讯作者：
推荐引用方式(GB/T 7714)：
Liang Wenhua,Tao Jinsheng,Cheng Chao,et al.A clinically effective model based on cell-free DNA methylation and low-dose CT for risk stratification of pulmonary nodules[J].Cell Reports. Medicine.2024,5(10):101750.doi:10.1016/j.xcrm.2024.101750.
APA：
Liang Wenhua,Tao Jinsheng,Cheng Chao,Sun Haitao,Ye Zhujia...&He Jianxing.(2024).A clinically effective model based on cell-free DNA methylation and low-dose CT for risk stratification of pulmonary nodules.Cell Reports. Medicine,5,(10)
MLA：
Liang Wenhua,et al."A clinically effective model based on cell-free DNA methylation and low-dose CT for risk stratification of pulmonary nodules".Cell Reports. Medicine 5..10(2024):101750

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