A novel saliva-based miRNA profile to diagnose and predict oral cancer

唾液 小RNA 内科学 医学 肿瘤科 癌症 曲线下面积 头颈部癌 预测值 生物 基因 遗传学
作者
Jaikrishna Balakittnen,Chameera Ekanayake Weeramange,Daniel F. Wallace,Pascal H. G. Duijf,Alexandre S. Cristino,Günter Härtel,Roberto A. Barrero,Touraj Taheri,Liz Kenny,Sarju Vasani,Martin Batstone,Omar Breik,Chamindie Punyadeera
出处
期刊:International Journal of Oral Science [Springer Nature]
卷期号:16 (1) 被引量:13
标识
DOI:10.1038/s41368-023-00273-w
摘要

Abstract Oral cancer (OC) is the most common form of head and neck cancer. Despite the high incidence and unfavourable patient outcomes, currently, there are no biomarkers for the early detection of OC. This study aims to discover, develop, and validate a novel saliva-based microRNA signature for early diagnosis and prediction of OC risk in oral potentially malignant disorders (OPMD). The Cancer Genome Atlas (TCGA) miRNA sequencing data and small RNA sequencing data of saliva samples were used to discover differentially expressed miRNAs. Identified miRNAs were validated in saliva samples of OC ( n = 50), OPMD ( n = 52), and controls ( n = 60) using quantitative real-time PCR. Eight differentially expressed miRNAs (miR-7-5p, miR-10b-5p, miR-182-5p, miR-215-5p, miR-431-5p, miR-486-3p, miR-3614-5p, and miR-4707-3p) were identified in the discovery phase and were validated. The efficiency of our eight-miRNA signature to discriminate OC and controls was: area under curve (AUC): 0.954, sensitivity: 86%, specificity: 90%, positive predictive value (PPV): 87.8% and negative predictive value (NPV): 88.5% whereas between OC and OPMD was: AUC: 0.911, sensitivity: 90%, specificity: 82.7%, PPV: 74.2% and NPV: 89.6%. We have developed a risk probability score to predict the presence or risk of OC in OPMD patients. We established a salivary miRNA signature that can aid in diagnosing and predicting OC, revolutionising the management of patients with OPMD. Together, our results shed new light on the management of OC by salivary miRNAs to the clinical utility of using miRNAs derived from saliva samples.
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