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

文献类型：期刊论文

作者Qi, Jian3,5; Hong, Bo3,6; Tao, Rui1; Sun, Ruifang7; Zhang, Huanhu7; Zhang, Xiaopeng3,5; Ji, Jie3,5; Wang, Shujie3,6; Liu, Yanzhe4; Deng, Qingmei3,6
刊名CANCER SCIENCE
出版日期2021-07-21
关键词cfDNA methylation cfMeDIP-seq lung cancer machine learning pulmonary nodule
ISSN号1347-9032
DOI10.1111/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
WOS记录号WOS:000677796000001
出版者WILEY
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
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.Anhui Med Univ, Affiliated Hosp 2, Dept Resp & Crit Care Med, Hefei 230601, Anhui, Peoples R China
2.Chinese Acad Sci, Guangzhou Inst Biomed & Hlth, Guangzhou, 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.Casgenome Med Hefei Ltd, Hefei, Peoples R China
5.Univ Sci & Technol China, Hefei, Peoples R China
6.Chinese Acad Sci, Hefei Canc Hosp, Hefei, 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).

入库方式： OAI收割

来源：合肥物质科学研究院

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