Qiang Huang, Yu-Jie Shen, Chi-Yao Hsueh, Yi-Fan Zhang, Xiao-Hui Yuan, Yu-Juan Zhou, Jiao-Yu Li, Lan Lin, Chun-Ping Wu, Chun-Yan Hu
{"title":"Plasma Extracellular Vesicles-Derived miR-99a-5p: A Potential Biomarker to Predict Early Head and Neck Squamous Cell Carcinoma.","authors":"Qiang Huang, Yu-Jie Shen, Chi-Yao Hsueh, Yi-Fan Zhang, Xiao-Hui Yuan, Yu-Juan Zhou, Jiao-Yu Li, Lan Lin, Chun-Ping Wu, Chun-Yan Hu","doi":"10.3389/pore.2022.1610699","DOIUrl":null,"url":null,"abstract":"<p><p><b>Purpose:</b> This study aimed to investigate the applicability of plasma extracellular vesicles (EVs) miR-99a-5p as a potential head and neck squamous cell carcinoma (HNSCC) diagnostic biomarker. <b>Methods:</b> The miRNA expression of HNSCC tissue and plasma EVs were profiled by small RNA sequencing. qRT-PCR was performed to detect miR-99a-5p expression in HNSCC (<i>n</i> = 93) and benign disease (<i>n</i> = 39) plasma EVs and formalin-fixed and paraffin-embedded (FFPE) tissue (<i>n</i> = 110). We constructed receiver-operating characteristic curves to investigate the diagnostic efficiency of plasma EVs miR-99a-5p. <b>Results:</b> Tumor tissue exhibited lower miR-99a-5p than para-tumor tissue. Patients with high miR-99a-5p expression exhibited significantly more p16 positive status. In contrast, HNSCC plasma EVs harbored more miR-99a-5p than the benign disease group. Plasma EVs miR-99a-5p distinguished HNSCC with area under the curve (AUC) of 0.7494 (95% CI: 0.6692-0.8296; <i>p</i> < 0.0001), with 61.54% sensitivity and 75.27% specificity, respectively. Furthermore, plasma EVs miR-99a-5p also distinguished early HNSCC with AUC of 0.7394 (95% CI: 0.6284-0.8504; <i>p</i> = 0.0002), with 79.07% sensitivity and 61.54% specificity, respectively. <b>Conclusion:</b> Plasma EVs miR-99a-5p is a potential biomarker for predicting early HNSCC.</p>","PeriodicalId":411887,"journal":{"name":"Pathology oncology research : POR","volume":" ","pages":"1610699"},"PeriodicalIF":0.0000,"publicationDate":"2022-10-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9622758/pdf/","citationCount":"4","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Pathology oncology research : POR","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.3389/pore.2022.1610699","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2022/1/1 0:00:00","PubModel":"eCollection","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 4
Abstract
Purpose: This study aimed to investigate the applicability of plasma extracellular vesicles (EVs) miR-99a-5p as a potential head and neck squamous cell carcinoma (HNSCC) diagnostic biomarker. Methods: The miRNA expression of HNSCC tissue and plasma EVs were profiled by small RNA sequencing. qRT-PCR was performed to detect miR-99a-5p expression in HNSCC (n = 93) and benign disease (n = 39) plasma EVs and formalin-fixed and paraffin-embedded (FFPE) tissue (n = 110). We constructed receiver-operating characteristic curves to investigate the diagnostic efficiency of plasma EVs miR-99a-5p. Results: Tumor tissue exhibited lower miR-99a-5p than para-tumor tissue. Patients with high miR-99a-5p expression exhibited significantly more p16 positive status. In contrast, HNSCC plasma EVs harbored more miR-99a-5p than the benign disease group. Plasma EVs miR-99a-5p distinguished HNSCC with area under the curve (AUC) of 0.7494 (95% CI: 0.6692-0.8296; p < 0.0001), with 61.54% sensitivity and 75.27% specificity, respectively. Furthermore, plasma EVs miR-99a-5p also distinguished early HNSCC with AUC of 0.7394 (95% CI: 0.6284-0.8504; p = 0.0002), with 79.07% sensitivity and 61.54% specificity, respectively. Conclusion: Plasma EVs miR-99a-5p is a potential biomarker for predicting early HNSCC.