Early lung cancer diagnostic biomarker discovery by machine learning methods
Early diagnosis has been proved to improve survival rate of lung cancer patients. The availability of blood-based screening could increase early lung cancer patient uptake. Our present study attempted to discover Chinese patients’ plasma metabolites as diagnostic biomarkers for lung cancer. In this...
| Main Authors: | , , , , , , , , , , , , , , , , |
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| Format: | Article |
| Language: | English |
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Elsevier
2021-01-01
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| Series: | Translational Oncology |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S1936523320303995 |
| _version_ | 1828938169013239808 |
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| author | Ying Xie Wei-Yu Meng Run-Ze Li Yu-Wei Wang Xin Qian Chang Chan Zhi-Fang Yu Xing-Xing Fan Hu-Dan Pan Chun Xie Qi-Biao Wu Pei-Yu Yan Liang Liu Yi-Jun Tang Xiao-Jun Yao Mei-Fang Wang Elaine Lai-Han Leung |
| author_facet | Ying Xie Wei-Yu Meng Run-Ze Li Yu-Wei Wang Xin Qian Chang Chan Zhi-Fang Yu Xing-Xing Fan Hu-Dan Pan Chun Xie Qi-Biao Wu Pei-Yu Yan Liang Liu Yi-Jun Tang Xiao-Jun Yao Mei-Fang Wang Elaine Lai-Han Leung |
| author_sort | Ying Xie |
| collection | DOAJ |
| description | Early diagnosis has been proved to improve survival rate of lung cancer patients. The availability of blood-based screening could increase early lung cancer patient uptake. Our present study attempted to discover Chinese patients’ plasma metabolites as diagnostic biomarkers for lung cancer. In this work, we use a pioneering interdisciplinary mechanism, which is firstly applied to lung cancer, to detect early lung cancer diagnostic biomarkers by combining metabolomics and machine learning methods. We collected total 110 lung cancer patients and 43 healthy individuals in our study. Levels of 61 plasma metabolites were from targeted metabolomic study using LC-MS/MS. A specific combination of six metabolic biomarkers note-worthily enabling the discrimination between stage I lung cancer patients and healthy individuals (AUC = 0.989, Sensitivity = 98.1%, Specificity = 100.0%). And the top 5 relative importance metabolic biomarkers developed by FCBF algorithm also could be potential screening biomarkers for early detection of lung cancer. Naïve Bayes is recommended as an exploitable tool for early lung tumor prediction. This research will provide strong support for the feasibility of blood-based screening, and bring a more accurate, quick and integrated application tool for early lung cancer diagnostic. The proposed interdisciplinary method could be adapted to other cancer beyond lung cancer. |
| first_indexed | 2024-12-14T02:38:54Z |
| format | Article |
| id | doaj.art-e4e5489945044f11b3ff1d3f04d3f256 |
| institution | Directory Open Access Journal |
| issn | 1936-5233 |
| language | English |
| last_indexed | 2024-12-14T02:38:54Z |
| publishDate | 2021-01-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Translational Oncology |
| spelling | doaj.art-e4e5489945044f11b3ff1d3f04d3f2562022-12-21T23:20:04ZengElsevierTranslational Oncology1936-52332021-01-01141100907Early lung cancer diagnostic biomarker discovery by machine learning methodsYing Xie0Wei-Yu Meng1Run-Ze Li2Yu-Wei Wang3Xin Qian4Chang Chan5Zhi-Fang Yu6Xing-Xing Fan7Hu-Dan Pan8Chun Xie9Qi-Biao Wu10Pei-Yu Yan11Liang Liu12Yi-Jun Tang13Xiao-Jun Yao14Mei-Fang Wang15Elaine Lai-Han Leung16State Key Laboratory of Quality Research in Chinese Medicine/Macau Institute for Applied Research in Medicine and Health, Macau University of Science and Technology, Macau (SAR), ChinaState Key Laboratory of Quality Research in Chinese Medicine/Macau Institute for Applied Research in Medicine and Health, Macau University of Science and Technology, Macau (SAR), ChinaState Key Laboratory of Quality Research in Chinese Medicine/Macau Institute for Applied Research in Medicine and Health, Macau University of Science and Technology, Macau (SAR), ChinaState Key Laboratory of Quality Research in Chinese Medicine/Macau Institute for Applied Research in Medicine and Health, Macau University of Science and Technology, Macau (SAR), ChinaRespiratory Medicine department of Taihe Hospital, Hubei University of Medicine, Hubei, ChinaRespiratory Medicine department of Taihe Hospital, Hubei University of Medicine, Hubei, ChinaRespiratory Medicine department of Taihe Hospital, Hubei University of Medicine, Hubei, ChinaState Key Laboratory of Quality Research in Chinese Medicine/Macau Institute for Applied Research in Medicine and Health, Macau University of Science and Technology, Macau (SAR), ChinaState Key Laboratory of Quality Research in Chinese Medicine/Macau Institute for Applied Research in Medicine and Health, Macau University of Science and Technology, Macau (SAR), ChinaState Key Laboratory of Quality Research in Chinese Medicine/Macau Institute for Applied Research in Medicine and Health, Macau University of Science and Technology, Macau (SAR), ChinaState Key Laboratory of Quality Research in Chinese Medicine/Macau Institute for Applied Research in Medicine and Health, Macau University of Science and Technology, Macau (SAR), ChinaState Key Laboratory of Quality Research in Chinese Medicine/Macau Institute for Applied Research in Medicine and Health, Macau University of Science and Technology, Macau (SAR), ChinaState Key Laboratory of Quality Research in Chinese Medicine/Macau Institute for Applied Research in Medicine and Health, Macau University of Science and Technology, Macau (SAR), ChinaRespiratory Medicine department of Taihe Hospital, Hubei University of Medicine, Hubei, ChinaState Key Laboratory of Quality Research in Chinese Medicine/Macau Institute for Applied Research in Medicine and Health, Macau University of Science and Technology, Macau (SAR), China; Corresponding authors.Respiratory Medicine department of Taihe Hospital, Hubei University of Medicine, Hubei, China; Corresponding authors.State Key Laboratory of Quality Research in Chinese Medicine/Macau Institute for Applied Research in Medicine and Health, Macau University of Science and Technology, Macau (SAR), China; Respiratory Medicine department of Taihe Hospital, Hubei University of Medicine, Hubei, China; Corresponding authors at: State Key Laboratory of Quality Research in Chinese Medicine/Macau Institute for Applied Research in Medicine and Health, Macau University of Science and Technology, Macau (SAR), China.Early diagnosis has been proved to improve survival rate of lung cancer patients. The availability of blood-based screening could increase early lung cancer patient uptake. Our present study attempted to discover Chinese patients’ plasma metabolites as diagnostic biomarkers for lung cancer. In this work, we use a pioneering interdisciplinary mechanism, which is firstly applied to lung cancer, to detect early lung cancer diagnostic biomarkers by combining metabolomics and machine learning methods. We collected total 110 lung cancer patients and 43 healthy individuals in our study. Levels of 61 plasma metabolites were from targeted metabolomic study using LC-MS/MS. A specific combination of six metabolic biomarkers note-worthily enabling the discrimination between stage I lung cancer patients and healthy individuals (AUC = 0.989, Sensitivity = 98.1%, Specificity = 100.0%). And the top 5 relative importance metabolic biomarkers developed by FCBF algorithm also could be potential screening biomarkers for early detection of lung cancer. Naïve Bayes is recommended as an exploitable tool for early lung tumor prediction. This research will provide strong support for the feasibility of blood-based screening, and bring a more accurate, quick and integrated application tool for early lung cancer diagnostic. The proposed interdisciplinary method could be adapted to other cancer beyond lung cancer.http://www.sciencedirect.com/science/article/pii/S1936523320303995Lung cancerMetabolitesBiomarkerEarly diagnosisMachine learning |
| spellingShingle | Ying Xie Wei-Yu Meng Run-Ze Li Yu-Wei Wang Xin Qian Chang Chan Zhi-Fang Yu Xing-Xing Fan Hu-Dan Pan Chun Xie Qi-Biao Wu Pei-Yu Yan Liang Liu Yi-Jun Tang Xiao-Jun Yao Mei-Fang Wang Elaine Lai-Han Leung Early lung cancer diagnostic biomarker discovery by machine learning methods Translational Oncology Lung cancer Metabolites Biomarker Early diagnosis Machine learning |
| title | Early lung cancer diagnostic biomarker discovery by machine learning methods |
| title_full | Early lung cancer diagnostic biomarker discovery by machine learning methods |
| title_fullStr | Early lung cancer diagnostic biomarker discovery by machine learning methods |
| title_full_unstemmed | Early lung cancer diagnostic biomarker discovery by machine learning methods |
| title_short | Early lung cancer diagnostic biomarker discovery by machine learning methods |
| title_sort | early lung cancer diagnostic biomarker discovery by machine learning methods |
| topic | Lung cancer Metabolites Biomarker Early diagnosis Machine learning |
| url | http://www.sciencedirect.com/science/article/pii/S1936523320303995 |
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