Literature DB >> 33423350

Efficacy of hypermethylated DNA biomarkers in saliva and oral swabs for oral cancer diagnosis: Systematic review and meta-analysis.

John Adeoye1,2, Azeez Arisekola Alade3,4, Wang-Yong Zhu1, Weilan Wang1,2, Siu-Wai Choi1,2, Peter Thomson1,2.   

Abstract

OBJECTIVES: This study aims to determine the diagnostic test accuracy (DTA) of hypermethylated DNA biomarkers in saliva and oral swabs for oral squamous cell carcinoma (OSCC) detection from the prevalidation studies available.
MATERIALS AND METHODS: Electronic database searching of PubMed, EMBASE, Cochrane Library, Scopus, Web of Science, and LILACS was conducted to identify relevant articles that were published between January 1, 2000, and August 1, 2020.
RESULTS: Meta-analysis was conducted based on 11 of 20 studies selected for review. Included studies had high bias concerns on the QUADAS-2 study assessment tool. We found that salivary and oral swab hypermethylation markers had better specificity than sensitivity for oral cancer detection. Summary sensitivity and specificity (95% CI) of hypermethylation panels were 86.2% (60-96.2) and 90.6% (85.9-93.9) while for individual markers, summary sensitivity and specificity (95% CI) were 70% (56.9-80.5) and 91.9% (80.3-96.9), respectively. Respective positive and negative likelihood ratios for combined markers were 9.2 (5.89-14.36) and 0.15 (0.05-0.5), and 8.61 (3.39-21.87) and 0.33 (0.22-0.49) for single-application biomarkers.
CONCLUSION: DNA hypermethylation biomarkers especially in combination have acceptable DTA that warrants further optimization with rigorous biomarker evaluation methods for conclusive determination of their efficacy.
© 2021 Wiley Periodicals LLC.

Entities:  

Keywords:  DNA hypermethylation; diagnostic biomarkers; oral cancer; oral swabs; saliva

Mesh:

Substances:

Year:  2021        PMID: 33423350     DOI: 10.1111/odi.13773

Source DB:  PubMed          Journal:  Oral Dis        ISSN: 1354-523X            Impact factor:   3.511


  4 in total

Review 1.  Diagnostics of HNSCC Patients: An Analysis of Cell Lines and Patient-Derived Xenograft Models for Personalized Therapeutical Medicine.

Authors:  Ramona Gabriela Ursu; Ionut Luchian; Costin Damian; Elena Porumb-Andrese; Nicolae Ghetu; Roxana Gabriela Cobzaru; Catalina Lunca; Carmen Ripa; Diana Costin; Igor Jelihovschi; Florin Dumitru Petrariu; Luminita Smaranda Iancu
Journal:  Diagnostics (Basel)       Date:  2022-04-25

2.  Diagnostic performance of oral swab specimen for SARS-CoV-2 detection with rapid point-of-care lateral flow antigen test.

Authors:  Arati Mane; Shilpa Jain; Ankita Jain; Michael Pereira; Atul Sirsat; Gaurav Pathak; Vikalp Bhoi; Shailaja Bhavsar; Samiran Panda
Journal:  Sci Rep       Date:  2022-05-05       Impact factor: 4.996

Review 3.  Salivary biomarkers in breast cancer diagnosis: A systematic review and diagnostic meta-analysis.

Authors:  Maryam Koopaie; Sajad Kolahdooz; Mahnaz Fatahzadeh; Soheila Manifar
Journal:  Cancer Med       Date:  2022-03-22       Impact factor: 4.711

4.  Machine Learning-Based Genome-Wide Salivary DNA Methylation Analysis for Identification of Noninvasive Biomarkers in Oral Cancer Diagnosis.

Authors:  John Adeoye; Chi Ching Joan Wan; Li-Wu Zheng; Peter Thomson; Siu-Wai Choi; Yu-Xiong Su
Journal:  Cancers (Basel)       Date:  2022-10-08       Impact factor: 6.575

  4 in total

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