Knowledge Management System of Hefei Institute of Physical Science，CAS
| Prediction model for malignant pulmonary nodules based on cfMeDIP-seq and machine learning | |
Qi, Jian1,2; Hong, Bo1,3; Tao, Rui4; Sun, Ruifang5; Zhang, Huanhu5; Zhang, Xiaopeng1,2; Ji, Jie1,2; Wang, Shujie1,3; Liu, Yanzhe7; Deng, Qingmei1,3; Wang, Hongzhi1,3 ; Zhao, Dahai4; Nie, Jinfu1,3,6
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| 2021-07-21 | |
| 发表期刊 | CANCER SCIENCE
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| ISSN | 1347-9032 |
| 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) |
| 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. |
| 关键词 | cfDNA methylation cfMeDIP-seq lung cancer machine learning pulmonary nodule |
| DOI | 10.1111/cas.15052 |
| 收录类别 | SCI |
| 语种 | 英语 |
| 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] |
| 项目资助者 | 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 |
| WOS研究方向 | Oncology |
| WOS类目 | Oncology |
| WOS记录号 | WOS:000677796000001 |
| 出版者 | WILEY |
| 引用统计 | |
| 文献类型 | 期刊论文 |
| 条目标识符 | http://ir.hfcas.ac.cn:8080/handle/334002/123219 |
| 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, Inst Hlth & Med Technol, Hefei Inst Phys Sci, Anhui Prov Key Lab Med Phys & Technol, Hefei, Peoples R China 2.Univ Sci & Technol China, Hefei, Peoples R China 3.Chinese Acad Sci, Hefei Canc Hosp, Hefei, Peoples R China 4.Anhui Med Univ, Affiliated Hosp 2, Dept Resp & Crit Care Med, Hefei 230601, Anhui, Peoples R China 5.Shanxi Canc Hosp, Dept Tumor Biobank, Taiyuan, Peoples R China 6.Chinese Acad Sci, Guangzhou Inst Biomed & Hlth, Guangzhou, Peoples R China 7.Casgenome Med Hefei Ltd, Hefei, 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). |
| 条目包含的文件 | 条目无相关文件。 | |||||
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