Issue |
J Oral Med Oral Surg
Volume 27, Number 3, 2021
|
|
---|---|---|
Article Number | 39 | |
Number of page(s) | 9 | |
DOI | https://doi.org/10.1051/mbcb/2021013 | |
Published online | 16 July 2021 |
Literature Review
Salivary diagnosis of oral cancers by salivary samples: a systematic literature review
1
CHU Clermont-Ferrand, Service d'Odontologie, 63001 Clermont-Ferrand, France
2
CHU de Clermont-Ferrand, Service de Chirurgie Maxillo-Faciale, 63001 Clermont-Ferrand, France
3
Université Clermont Auvergne, Inserm, Neuro-Dol, 63000 Clermont-Ferrand, France
* Correspondence: laurent.devoize@uca.fr
Received:
19
June
2020
Accepted:
20
April
2021
The aim of this article is to carry out a systematic analysis of the literature concerning the diagnosis of oral cancers by salivary samples. Different biomarkers, produced by the tumor itself or by its environment, show significant variations in their concentration at the salivary level, correlated or not at the blood or tissue level. After studying 239 articles, we included 36 in this analysis. This allowed us to extract 46 potential molecules for salivary diagnostics. Only 26 demonstrated a good level of evidence. 8 clusters have also been proposed for better specificity and sensitivity. To date, the protocols of the studies carried out do not allow to affirm that one or more biomarkers are effective for a salivary diagnosis of oral cancers. Part of the results contradict or sometimes lack precision. In addition, the studies included here do not have a good methodological quality and do not always take into account other factors influencing the concentrations (systemic diseases, age, sex, tobacco, alcohol, etc.). Additional studies are still necessary, notably with larger groups of patients, representative of the general population and standardization of the protocols for the study and quantification of biomarkers.
Key words: Diagnosis / saliva / oral cancer / biomarkers
© The authors, 2021
This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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