MicroRNA Biomarker hsa-miR-195-5p for Detecting the Risk of Lung Cancer
Background. Lung cancer is one of the leading diagnosed cancers worldwide, and microRNAs could be used as biomarkers to diagnose lung cancer. hsa-miR-195 has been demonstrated to affect the prognosis of NSCLC (non-small-cell lung cancer) in a previous study. However, the diagnostic value of hsa-miR-...
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| Main Authors: | , , , , , , , , |
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| Format: | Article |
| Language: | English |
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Wiley
2020-01-01
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| Series: | International Journal of Genomics |
| Online Access: | http://dx.doi.org/10.1155/2020/7415909 |
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| author | Lei Li Tienan Feng Weituo Zhang Sumeng Gao Ruoyang Wang Wenwen Lv Tengteng Zhu Herbert Yu Biyun Qian |
| author_facet | Lei Li Tienan Feng Weituo Zhang Sumeng Gao Ruoyang Wang Wenwen Lv Tengteng Zhu Herbert Yu Biyun Qian |
| author_sort | Lei Li |
| collection | DOAJ |
| description | Background. Lung cancer is one of the leading diagnosed cancers worldwide, and microRNAs could be used as biomarkers to diagnose lung cancer. hsa-miR-195 has been demonstrated to affect the prognosis of NSCLC (non-small-cell lung cancer) in a previous study. However, the diagnostic value of hsa-miR-195-5p in lung cancer has not been investigated. Methods. To evaluate the ability of hsa-miR-195-5p to diagnose lung cancer, we compared the expression of hsa-miR-195-5p in lung cancer patients, COPD patients, and normal controls. Receiver operating characteristic (ROC) curve analysis was performed to investigate the sensitivity and specificity of hsa-miR-195-5p. Coexpression network and pathway analysis were carried out to explore the mechanism. Results. We found that hsa-miR-195-5p had lower expression in lung cancer and COPD patients than in normal controls, and the AUC was 0.92 for diagnosing lung cancer. hsa-miR-143 correlated with hsa-miR-195-5p, and by combining these two microRNAs, the AUC was 0.97 for diagnosing lung cancer. Conclusions. hsa-miR-195-5p may act as a biomarker that contributes to the diagnosis of lung cancer and the detection of its high-risk population. |
| format | Article |
| id | doaj-art-f97166486708413aaa255560ad332617 |
| institution | Kabale University |
| issn | 2314-436X 2314-4378 |
| language | English |
| publishDate | 2020-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | International Journal of Genomics |
| spelling | doaj-art-f97166486708413aaa255560ad3326172025-02-03T01:30:30ZengWileyInternational Journal of Genomics2314-436X2314-43782020-01-01202010.1155/2020/74159097415909MicroRNA Biomarker hsa-miR-195-5p for Detecting the Risk of Lung CancerLei Li0Tienan Feng1Weituo Zhang2Sumeng Gao3Ruoyang Wang4Wenwen Lv5Tengteng Zhu6Herbert Yu7Biyun Qian8Hongqiao International Institute of Medicine, Shanghai Tongren Hospital and Faculty of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai, ChinaHongqiao International Institute of Medicine, Shanghai Tongren Hospital and Clinical Research Institute, Shanghai Jiao Tong University School of Medicine, Shanghai, ChinaHongqiao International Institute of Medicine, Shanghai Tongren Hospital and Clinical Research Institute, Shanghai Jiao Tong University School of Medicine, Shanghai, ChinaHongqiao International Institute of Medicine, Shanghai Tongren Hospital and Faculty of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai, ChinaHongqiao International Institute of Medicine, Shanghai Tongren Hospital and Faculty of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai, ChinaHongqiao International Institute of Medicine, Shanghai Tongren Hospital and Clinical Research Institute, Shanghai Jiao Tong University School of Medicine, Shanghai, ChinaHongqiao International Institute of Medicine, Shanghai Tongren Hospital and Clinical Research Institute, Shanghai Jiao Tong University School of Medicine, Shanghai, ChinaCancer Epidemiology Program, University of Hawaii Cancer Center, Honolulu, HI, USAHongqiao International Institute of Medicine, Shanghai Tongren Hospital and Clinical Research Institute, Shanghai Jiao Tong University School of Medicine, Shanghai, ChinaBackground. Lung cancer is one of the leading diagnosed cancers worldwide, and microRNAs could be used as biomarkers to diagnose lung cancer. hsa-miR-195 has been demonstrated to affect the prognosis of NSCLC (non-small-cell lung cancer) in a previous study. However, the diagnostic value of hsa-miR-195-5p in lung cancer has not been investigated. Methods. To evaluate the ability of hsa-miR-195-5p to diagnose lung cancer, we compared the expression of hsa-miR-195-5p in lung cancer patients, COPD patients, and normal controls. Receiver operating characteristic (ROC) curve analysis was performed to investigate the sensitivity and specificity of hsa-miR-195-5p. Coexpression network and pathway analysis were carried out to explore the mechanism. Results. We found that hsa-miR-195-5p had lower expression in lung cancer and COPD patients than in normal controls, and the AUC was 0.92 for diagnosing lung cancer. hsa-miR-143 correlated with hsa-miR-195-5p, and by combining these two microRNAs, the AUC was 0.97 for diagnosing lung cancer. Conclusions. hsa-miR-195-5p may act as a biomarker that contributes to the diagnosis of lung cancer and the detection of its high-risk population.http://dx.doi.org/10.1155/2020/7415909 |
| spellingShingle | Lei Li Tienan Feng Weituo Zhang Sumeng Gao Ruoyang Wang Wenwen Lv Tengteng Zhu Herbert Yu Biyun Qian MicroRNA Biomarker hsa-miR-195-5p for Detecting the Risk of Lung Cancer International Journal of Genomics |
| title | MicroRNA Biomarker hsa-miR-195-5p for Detecting the Risk of Lung Cancer |
| title_full | MicroRNA Biomarker hsa-miR-195-5p for Detecting the Risk of Lung Cancer |
| title_fullStr | MicroRNA Biomarker hsa-miR-195-5p for Detecting the Risk of Lung Cancer |
| title_full_unstemmed | MicroRNA Biomarker hsa-miR-195-5p for Detecting the Risk of Lung Cancer |
| title_short | MicroRNA Biomarker hsa-miR-195-5p for Detecting the Risk of Lung Cancer |
| title_sort | microrna biomarker hsa mir 195 5p for detecting the risk of lung cancer |
| url | http://dx.doi.org/10.1155/2020/7415909 |
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