Abstract
Introduction. It has been shown that miR-192 is abnormally expressed in a variety of cancer types and participates in different kinds of signaling pathways. The role of miR-192 in the diagnosis and prognosis of cancer has not been verified. This article is aimed at exploring the diagnostic and prognostic value of miR-192 through a systematic review and meta-analysis. Methods. A systematic search was performed through PubMed, Embase, Web of Science, and Cochrane Library databases up to June 16, 2020. A total of 16 studies were enrolled in the meta-analyses, of which 11 articles were used for diagnostic meta-analysis and 5 articles were used for prognostic meta-analysis. The values of sensitivity and specificity using miR-192 expression as a diagnostic tool were pooled in the diagnostic meta-analysis. The hazard ratios (HRs) of overall survival (OS) with 95 confidence intervals (CIs) were extracted from the studies, and pooled HRs were evaluated in the prognostic meta-analysis. Eleven studies including 667 cancer patients and 514 controls met the eligibility criteria for the diagnostic meta-analysis. Five studies including 166 patients with high miR-192 expression and 236 patients with low miR-192 expression met the eligibility criteria for the prognostic meta-analysis. Results. The overall diagnostic accuracy was as follows: sensitivity 0.79 (95%CI=0.75-0.82), specificity 0.74 (95%CI=0.64-0.82), positive likelihood ratio 3.03 (95%CI=2.11-4.34), negative likelihood ratio 0.29 (95%CI=0.23-0.37), diagnostic odds ratio 10.50 (95%CI=5.89-18.73), and area under the curve ratio (AUC) 0.82 (95%CI=0.78-0.85). The overall prognostic analysis showed that high expression of miR-192 in patients was associated with positive survival (HR=0.62, 95%CI:0.41-0.93, p=0.020). Conclusion. Our results revealed that miR-192 was a potential biomarker with good sensitivity and specificity in cancers. Moreover, highly expressed miR-192 predicted a good prognosis for patients.
Dokumententyp: | Zeitschriftenartikel |
---|---|
Fakultät: | Medizin |
Themengebiete: | 600 Technik, Medizin, angewandte Wissenschaften > 610 Medizin und Gesundheit |
ISSN: | 2314-6133 |
Sprache: | Englisch |
Dokumenten ID: | 102920 |
Datum der Veröffentlichung auf Open Access LMU: | 05. Jun. 2023, 15:41 |
Letzte Änderungen: | 17. Okt. 2023, 15:12 |