Abstract
In recent years, high-throughput technologies have facilitated the widespread use of metabolomics to identify biomarkers and targets for oral squamous cell carcinoma (OSCC). As a result, the primary goal of this systematic review is to identify and evaluate metabolite biomarkers and their pathways for OSCC that featured consistently across studies despite methodological variations. Six electronic databases (Medline, Cochrane, Web of Science, CINAHL, ProQuest, and Embase) were reviewed for the longitudinal studies involving OSCC patients and metabolic marker analysis (in accordance with PRISMA 2020). The studies included ranged from the inception of metabolomics in OSCC (i.e., 1 January 2007) to 30 April 2023. The included studies were then assessed for their quality using the modified version of NIH quality assessment tool and QUADOMICS. Thirteen studies were included after screening 2285 studies. The majority of the studies were from South Asian regions, and metabolites were most frequently derived from saliva. Amino acids accounted for more than quarter of the detected metabolites, with glutamate and methionine being the most prominent. The top dysregulated metabolites indicated dysregulation of six significantly enriched pathways including aminoacyl-tRNA biosynthesis, glutathione metabolism and arginine biosynthesis with the false discovery rate (FDR)
| Original language | English |
|---|---|
| Article number | 890 |
| Journal | Metabolites |
| Volume | 13 |
| Issue number | 8 |
| DOIs | |
| Publication status | Published - 27 Jul 2023 |
Bibliographical note
AcknowledgmentsWe are grateful to Emilie Combet Aspray (University of Glasgow) for her invaluable suggestions in drafting the manuscript. Emilie Combet Aspray’s expertise and thoughtful comments were invaluable in helping me to improve the quality of our work. We are grateful for her time and dedication, and we are confident that the manuscript is scientifically stronger as a result of Emilie Combet Aspray’s input.
Funding
This research received no external funding
Data Availability Statement
The data used in this study can be obtained from the corresponding author upon request. Being a systematic review, the data are contained in an Excel spreadsheet and are already displayed in most of the tables and figures in the manuscript.Keywords
- Metabolomics
- cancer biomarkers
- oral cancer
- Diagnosis
- OSCC
Access to Document
- Alapati_etal_M_Evaluation_Of_Metabolomics_VOR
© 2023 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).