2019
DOI: 10.1016/j.ebiom.2019.11.016
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Combined identification of three miRNAs in serum as effective diagnostic biomarkers for HNSCC

Abstract: Background: Head and neck squamous cell carcinoma (HNSCC) is a disastrous disease with substantial morbidity and mortality. This study aims to explore the effective diagnostic and prognostic biomarkers for HNSCC.Methods: MiRNA expression data and corresponding clinical information of HNSCC from The Cancer Genome Atlas (TCGA) database were analyzed comprehensively to identify the miRNAs with diagnostic and prognostic power. The predictive ability of different classifications was analyzed for the three-miRNA com… Show more

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Cited by 54 publications
(43 citation statements)
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“…4D to F). Further, to understand if combined miRNA detection provided a better diagnostic power, the ROC analysis was performed for the three miRNAs together as described by Liu et al (19). Our analysis suggested that the combination of the miRNAs increased the AUC, 95% confidence interval (CI) value, and statistical significance as shown in Fig.…”
Section: Resultsmentioning
confidence: 69%
“…4D to F). Further, to understand if combined miRNA detection provided a better diagnostic power, the ROC analysis was performed for the three miRNAs together as described by Liu et al (19). Our analysis suggested that the combination of the miRNAs increased the AUC, 95% confidence interval (CI) value, and statistical significance as shown in Fig.…”
Section: Resultsmentioning
confidence: 69%
“…This result needs a thorough study to explore the definite role of miR-142-3p in SCCHN. Certain miRNAs are helpful for cancer diagnoses [ 38 ]. In view of this, the present study distinguished five miRNAs with possible diagnostic values, which consisted of miR-503-5p , miR-424-5p , miR-21-5p , miR-204-5p , and miR-375-3p .…”
Section: Discussionmentioning
confidence: 99%
“…Investigation of individual miRNA molecules may be of use for the benefit of diagnostic and prognostic value in HNSCC, but when it comes to a combination of miRNAs, provides a more significant prediction in clinical outcomes. The diagnostic power of miR-383, miR-615, and miR-877 panel distinguishes patients with HNSCC from healthy donors, with high rates of a receiver operating characteristic (ROC) curve analysis (89.3% sensitivity and 98.9% specificity) ( Liu et al, 2019 ). Given the unfavorable prognosis of HPV-negative cancer patients strengthens the need to find biomarkers through miRNA signatures for a more accurate diagnosis ( Hess et al, 2019 ).…”
Section: Epigeneticsmentioning
confidence: 99%