A Network Meta-Analysis on the Diagnostic Values of MiR-21/MiR-16/MiR-34a/let-7b-5p/let-7g/MiR-218-5p in Non-Small-Cell Lung Cancer
Non-small-cell lung cancer (NSCLC) is a major subtype of lung cancer, accompanied by dismal prognosis. Recent studies have reported microRNAs (miRNAs) may act as diagnosis biomarkers in NSCLC. This network meta-analysis was performed toidentify miRNA and their potential diagnostic value for NSCLC sy...
| Main Authors: | , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Techland Publishing Group Limited
2020-12-01
|
| Series: | Molecular Biology & Nanomedicine |
| Subjects: | |
| Online Access: | http://mbn.techlandgroup.com/index.php?c=articles&a=view&id=23 |
| _version_ | 1831544270029324288 |
|---|---|
| author | Yifei Yun Yutong Zhang Yao Ou Fengbin Zhang Zhonghua Lu |
| author_facet | Yifei Yun Yutong Zhang Yao Ou Fengbin Zhang Zhonghua Lu |
| author_sort | Yifei Yun |
| collection | DOAJ |
| description | Non-small-cell lung cancer (NSCLC) is a major subtype of lung cancer, accompanied by dismal prognosis. Recent studies have reported microRNAs (miRNAs) may act as diagnosis biomarkers in NSCLC. This network meta-analysis was performed toidentify miRNA and their potential diagnostic value for NSCLC systematically. Several databases were recruited for eligible studies, and the retrieval spectrum ranged from the inception to June 2018. Besides, 142 NSCLC patients and 168 patients with benign lung disease were enrolled. Direct and indirect evidence were incorporated to evaluate weighted mean difference (WMD) and ranking probability (RP) based on surface under the cumulative ranking curves (SUCRAs). The expressions of miRNAs were further validated by RT-qPCR. The sensitivity, specificity, and receiver operator characteristic (ROC) curve were used to evaluate diagnostic performance. The expression of miR-192 and miR-17 was lower than that of miR-21 in plasma samples of NSCLC. However, the expression of miR-16, miR-34a and miR-1-5p was lower while the levels of let-7g and mR-218-5p were higher than that of miR-21 in NSCLC tissues. miR-21 and let-7g levels were upregulated in plasma/tissues of NSCLS, but miR-16, miR-34a, let-7b-5p and miR-218-5p expression wasdownregulated. In the analysis of ROC curve, let-7g (sensitivity: 0.901; specificity: 0.893) and miR-218-5p (0.817, 0.964) in plasma as well as miR-16 (0.915, 0.964), miR-34a (0817, 0.964) and miR-218-5p (0.831, 0.964) in tissues revealed higher diagnostic value for NSCLC. It demonstrates that let-7g/miR-218-5p in plasma and miR-16/miR-34a/miR-218-5p in tissues can potentially be used as diagnostic biomarkers of NSCLC. |
| first_indexed | 2024-12-17T01:06:59Z |
| format | Article |
| id | doaj.art-7719ab2e36a44b26b40eb24adfb070d7 |
| institution | Directory Open Access Journal |
| issn | 2707-4692 2707-4692 |
| language | English |
| last_indexed | 2024-12-17T01:06:59Z |
| publishDate | 2020-12-01 |
| publisher | Techland Publishing Group Limited |
| record_format | Article |
| series | Molecular Biology & Nanomedicine |
| spelling | doaj.art-7719ab2e36a44b26b40eb24adfb070d72022-12-21T22:09:15ZengTechland Publishing Group LimitedMolecular Biology & Nanomedicine2707-46922707-46922020-12-011410.37813/j.mbn.2707-4692.011A Network Meta-Analysis on the Diagnostic Values of MiR-21/MiR-16/MiR-34a/let-7b-5p/let-7g/MiR-218-5p in Non-Small-Cell Lung CancerYifei Yun0Yutong Zhang1Yao Ou2Fengbin Zhang3Zhonghua Lu4Department of Radiotherapy, Changzhou Tumor Hospital, Soochow University, Changzhou 213000, ChinaDepartment of Radiotherapy, Changzhou Tumor Hospital, Soochow University, Changzhou 213000, ChinaDepartment of Radiotherapy, Changzhou Tumor Hospital, Soochow University, Changzhou 213000, ChinaDepartment of Radiotherapy, Xijing Hospital of Air Force Military Medical University, Xi'an 710032, ChinaDepartment of Radiotherapy, Changzhou Tumor Hospital, Soochow University, Changzhou 213000, ChinaNon-small-cell lung cancer (NSCLC) is a major subtype of lung cancer, accompanied by dismal prognosis. Recent studies have reported microRNAs (miRNAs) may act as diagnosis biomarkers in NSCLC. This network meta-analysis was performed toidentify miRNA and their potential diagnostic value for NSCLC systematically. Several databases were recruited for eligible studies, and the retrieval spectrum ranged from the inception to June 2018. Besides, 142 NSCLC patients and 168 patients with benign lung disease were enrolled. Direct and indirect evidence were incorporated to evaluate weighted mean difference (WMD) and ranking probability (RP) based on surface under the cumulative ranking curves (SUCRAs). The expressions of miRNAs were further validated by RT-qPCR. The sensitivity, specificity, and receiver operator characteristic (ROC) curve were used to evaluate diagnostic performance. The expression of miR-192 and miR-17 was lower than that of miR-21 in plasma samples of NSCLC. However, the expression of miR-16, miR-34a and miR-1-5p was lower while the levels of let-7g and mR-218-5p were higher than that of miR-21 in NSCLC tissues. miR-21 and let-7g levels were upregulated in plasma/tissues of NSCLS, but miR-16, miR-34a, let-7b-5p and miR-218-5p expression wasdownregulated. In the analysis of ROC curve, let-7g (sensitivity: 0.901; specificity: 0.893) and miR-218-5p (0.817, 0.964) in plasma as well as miR-16 (0.915, 0.964), miR-34a (0817, 0.964) and miR-218-5p (0.831, 0.964) in tissues revealed higher diagnostic value for NSCLC. It demonstrates that let-7g/miR-218-5p in plasma and miR-16/miR-34a/miR-218-5p in tissues can potentially be used as diagnostic biomarkers of NSCLC.http://mbn.techlandgroup.com/index.php?c=articles&a=view&id=23non-small-cell lung cancermicrornacase-control studynetwork meta-analysis |
| spellingShingle | Yifei Yun Yutong Zhang Yao Ou Fengbin Zhang Zhonghua Lu A Network Meta-Analysis on the Diagnostic Values of MiR-21/MiR-16/MiR-34a/let-7b-5p/let-7g/MiR-218-5p in Non-Small-Cell Lung Cancer Molecular Biology & Nanomedicine non-small-cell lung cancer microrna case-control study network meta-analysis |
| title | A Network Meta-Analysis on the Diagnostic Values of MiR-21/MiR-16/MiR-34a/let-7b-5p/let-7g/MiR-218-5p in Non-Small-Cell Lung Cancer |
| title_full | A Network Meta-Analysis on the Diagnostic Values of MiR-21/MiR-16/MiR-34a/let-7b-5p/let-7g/MiR-218-5p in Non-Small-Cell Lung Cancer |
| title_fullStr | A Network Meta-Analysis on the Diagnostic Values of MiR-21/MiR-16/MiR-34a/let-7b-5p/let-7g/MiR-218-5p in Non-Small-Cell Lung Cancer |
| title_full_unstemmed | A Network Meta-Analysis on the Diagnostic Values of MiR-21/MiR-16/MiR-34a/let-7b-5p/let-7g/MiR-218-5p in Non-Small-Cell Lung Cancer |
| title_short | A Network Meta-Analysis on the Diagnostic Values of MiR-21/MiR-16/MiR-34a/let-7b-5p/let-7g/MiR-218-5p in Non-Small-Cell Lung Cancer |
| title_sort | network meta analysis on the diagnostic values of mir 21 mir 16 mir 34a let 7b 5p let 7g mir 218 5p in non small cell lung cancer |
| topic | non-small-cell lung cancer microrna case-control study network meta-analysis |
| url | http://mbn.techlandgroup.com/index.php?c=articles&a=view&id=23 |
| work_keys_str_mv | AT yifeiyun anetworkmetaanalysisonthediagnosticvaluesofmir21mir16mir34alet7b5plet7gmir2185pinnonsmallcelllungcancer AT yutongzhang anetworkmetaanalysisonthediagnosticvaluesofmir21mir16mir34alet7b5plet7gmir2185pinnonsmallcelllungcancer AT yaoou anetworkmetaanalysisonthediagnosticvaluesofmir21mir16mir34alet7b5plet7gmir2185pinnonsmallcelllungcancer AT fengbinzhang anetworkmetaanalysisonthediagnosticvaluesofmir21mir16mir34alet7b5plet7gmir2185pinnonsmallcelllungcancer AT zhonghualu anetworkmetaanalysisonthediagnosticvaluesofmir21mir16mir34alet7b5plet7gmir2185pinnonsmallcelllungcancer AT yifeiyun networkmetaanalysisonthediagnosticvaluesofmir21mir16mir34alet7b5plet7gmir2185pinnonsmallcelllungcancer AT yutongzhang networkmetaanalysisonthediagnosticvaluesofmir21mir16mir34alet7b5plet7gmir2185pinnonsmallcelllungcancer AT yaoou networkmetaanalysisonthediagnosticvaluesofmir21mir16mir34alet7b5plet7gmir2185pinnonsmallcelllungcancer AT fengbinzhang networkmetaanalysisonthediagnosticvaluesofmir21mir16mir34alet7b5plet7gmir2185pinnonsmallcelllungcancer AT zhonghualu networkmetaanalysisonthediagnosticvaluesofmir21mir16mir34alet7b5plet7gmir2185pinnonsmallcelllungcancer |