Prediction model for malignant pulmonary nodules based on cfMeDIP-seq and machine learning

doi:10.1111/cas.15052

	Prediction model for malignant pulmonary nodules based on cfMeDIP-seq and machine learning
	Qi, Jian 3,4; Hong, Bo 3,5; Tao, Rui 6; Sun, Ruifang 7; Zhang, Huanhu 7; Zhang, Xiaopeng 3,4; Ji, Jie 3,4; Wang, Shujie 3,5; Liu, Yanzhe 2; Deng, Qingmei 3,5
刊名	CANCER SCIENCE
	2021-07-21
关键词	cfDNA methylation cfMeDIP-seq lung cancer machine learning pulmonary nodule
ISSN号	1347-9032
DOI	10.1111/cas.15052
通讯作者	Hong, Bo(bhong@hmfl.ac.cn) ; Wang, Hongzhi(wanghz@hfcas.ac.cn) ; Zhao, Dahai(zhaodahai@ahmu.edu.cn) ; Nie, Jinfu(nie_jinfu@gibh.ac.cn)
英文摘要	Cell-free methylated DNA immunoprecipitation and high-throughput sequencing (cfMeDIP-seq) is a new bisulfite-free technique, which can detect the whole-genome methylation of blood cell-free DNA (cfDNA). Using this technique, we identified differentially methylated regions (DMR) of cfDNA between lung tumors and normal controls. Based on the top 300 DMR, we built a random forest prediction model, which was able to distinguish malignant lung tumors from normal controls with high sensitivity and specificity of 91.0% and 93.3% (AUROC curve of 0.963). In summary, we reported a non-invasive prediction model that had good ability to distinguish malignant pulmonary nodules.
资助项目	100-Talent Program of the Chinese Academy of Sciences ; National Natural Science Foundation of China[81872438] ; Key Program of 13th 5-year plan of CASHIPS ; Key Research and Development Project of Anhui Province[201904a07020064] ; Research Fund of Beijing Cancer Research Institute[CAPTRALung2020004] ; open fund of the Key Laboratory of Medical Physics and Technology of Anhui Province[LMPT201902]
WOS研究方向	Oncology
语种	英语
出版者	WILEY
WOS记录号	WOS:000677796000001
资助机构	100-Talent Program of the Chinese Academy of Sciences ; National Natural Science Foundation of China ; Key Program of 13th 5-year plan of CASHIPS ; Key Research and Development Project of Anhui Province ; Research Fund of Beijing Cancer Research Institute ; open fund of the Key Laboratory of Medical Physics and Technology of Anhui Province
内容类型	期刊论文
源URL	[http://ir.hfcas.ac.cn:8080/handle/334002/123218]
专题	中国科学院合肥物质科学研究院
通讯作者	Hong, Bo; Wang, Hongzhi; Zhao, Dahai; Nie, Jinfu
作者单位	1.Chinese Acad Sci, Guangzhou Inst Biomed & Hlth, Guangzhou, Peoples R China 2.Casgenome Med Hefei Ltd, Hefei, Peoples R China 3.Chinese Acad Sci, Inst Hlth & Med Technol, Hefei Inst Phys Sci, Anhui Prov Key Lab Med Phys & Technol, Hefei, Peoples R China 4.Univ Sci & Technol China, Hefei, Peoples R China 5.Chinese Acad Sci, Hefei Canc Hosp, Hefei, Peoples R China 6.Anhui Med Univ, Affiliated Hosp 2, Dept Resp & Crit Care Med, Hefei 230601, Anhui, Peoples R China 7.Shanxi Canc Hosp, Dept Tumor Biobank, Taiyuan, Peoples R China
推荐引用方式 GB/T 7714	Qi, Jian,Hong, Bo,Tao, Rui,et al. Prediction model for malignant pulmonary nodules based on cfMeDIP-seq and machine learning[J]. CANCER SCIENCE,2021.
APA	Qi, Jian.,Hong, Bo.,Tao, Rui.,Sun, Ruifang.,Zhang, Huanhu.,...&Nie, Jinfu.(2021).Prediction model for malignant pulmonary nodules based on cfMeDIP-seq and machine learning.CANCER SCIENCE.
MLA	Qi, Jian,et al."Prediction model for malignant pulmonary nodules based on cfMeDIP-seq and machine learning".CANCER SCIENCE (2021).