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Systemic Investigation Identifying Salivary miR-196b as a Promising Biomarker for Early Detection of Head-Neck Cancer and Oral Precancer Lesions.

Authors :
Cheng, Ann-Joy
You, Guo-Rung
Lee, Che-Jui
Lu, Ya-Ching
Tang, Shang-Ju
Huang, Yi-Fang
Huang, Yu-Chen
Lee, Li-Yu
Fan, Kang-Hsing
Chen, Yen-Chao
Huang, Shiang-Fu
Chang, Joseph Tung-Chieh
Source :
Diagnostics (2075-4418). Aug2021, Vol. 11 Issue 8, p1411. 1p.
Publication Year :
2021

Abstract

Background: Liquid biopsy is a rapidly growing field, for it may provide a minimally invasive way to acquire pathological data for personalized medicine. This study developed a systemic strategy to discover an effective salivary biomarker for early detection of patients with head-neck squamous carcinoma (HNSC) and oral precancer lesion (OPC). Methods: A total of 10 miRNAs were examined in parallel with multiple independent cohorts. These included a training set of salivary samples from HNSC patients, the TCGA-HNSC and GSE31277 cohorts to differentiate miRNAs between tumor and normal tissues, and groups of salivary samples from healthy individuals, patients with HNSC and OPC. Results: The combined results from the salivary training set and the TCGA-HNSC cohort showed that four miRNAs (miR-148b, miR-155, miR-196b, and miR-31) consistently increased in HNSC patients. Further integration with the GSE31277 cohort, two miRNAs (miR-31 and miR-196b) maintained at high significances. Further assessment showed that salivary miR-196b was a prominent diagnostic biomarker, as it remarkably discriminated between healthy individuals and patients with HNSC (p < 0.0001, AUC = 0.767, OR = 5.64) or OPC (p < 0.0001, AUC = 0.979, OR = 459). Conclusion: Salivary miR-196b could be an excellent biomarker for diagnosing OPC and early detection of HNSC. This molecule may be used for early screening high-risk groups of HNSC. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
20754418
Volume :
11
Issue :
8
Database :
Academic Search Index
Journal :
Diagnostics (2075-4418)
Publication Type :
Academic Journal
Accession number :
152102639
Full Text :
https://doi.org/10.3390/diagnostics11081411