Literature DB >> 31743768

MicroRNA expression profiling analysis in serum for nasopharyngeal carcinoma diagnosis.

Xuan Zou1, Danxia Zhu2, Huo Zhang3, Shiyu Zhang4, Xin Zhou4, Xia He5, Jun Zhu6, Wei Zhu7.   

Abstract

BACKGROUND: Circulating microRNAs have become reliable sources of non-invasive biomarkers for cancer diagnosis. miRNA expression analysis in blood circulation for the identification of novel signatures might assist the early detection of nasopharyngeal carcinoma (NPC) patients.
METHODS: In the screening stage, the Exiqon miRNA qPCR panel was applied for the selection of candidate miRNAs. Serum samples taken from 208 NPC patients and 238 healthy donors (as normal controls (NCs)) were assigned to into the following three stages (training (30 NPC VS. 30 NCs), testing (138 NPC VS. 166 NCs) and external validation stage (40 NPC VS. 42 NCs)) for further confirmation of differently expressed miRNAs using qRT-PCR. The identified miRNA signatures were further explored in tissue specimens (48 NPC VS. 32 NCs) and serum-derived exosomes samples (32 NPC VS. 32 NCs).
RESULTS: Five miRNAs in serum including let-7b-5p, miR-140-3p, miR-192-5p, miR-223-3p and miR-24-3p were found to be significantly up-regulated in NPC patients compared to NCs. The five identified miRNAs were further combined into one panel and the areas under the receiver operating characteristic curve (AUCs) for three independent stages were 0.910 (training), 0.916 (testing) and 0.968 (external validation), respectively. miR-192-5p and miR-24-3p were consistently up-regulated in NPC tissues while let-7b-5p and miR-140-3p were conversely down-regulated. In serum-derived exosomes samples, no expression difference was observed between NPC patients and NCs.
CONCLUSION: A five-miRNA signature was identified in serum to be potential biomarkers for NPC detection.
Copyright © 2019. Published by Elsevier B.V.

Entities:  

Keywords:  Biomarker; Diagnosis; Nasopharyngeal carcinoma; Serum; microRNA; qRT-PCR

Mesh:

Substances:

Year:  2019        PMID: 31743768     DOI: 10.1016/j.gene.2019.144243

Source DB:  PubMed          Journal:  Gene        ISSN: 0378-1119            Impact factor:   3.688


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