Metabolic landscape of oral squamous cell carcinoma.

Metabolomics

Department of Oral Surgery and Pathology, School of Dentistry, Universidade Federal de Minas Gerais (UFMG), Av. Presidente Antônio Carlos, Belo Horizonte, Minas Gerais, 6627, 31270-901, Brazil.

Published: September 2020

AI Article Synopsis

  • Head and neck cancers, particularly oral squamous cell carcinoma (OSCC), are common worldwide and have a poor prognosis, often linked to complex genetic and metabolic changes.
  • This review focuses on metabolomics—the study of small molecules in biological processes—to analyze OSCC and premalignant conditions, aiming to clarify the oral cancer development process and identify potential metabolic biomarkers.
  • Despite some insights from current metabolomic studies, there's a need for further research and validation to effectively apply these findings in clinical settings.

Article Abstract

Background: Head and neck cancers are the seventh most common type of cancer worldwide, with almost half of the cases affecting the oral cavity. Oral squamous cell carcinoma (OSCC) is the most common form of oral cancer, showing poor prognosis and high mortality. OSCC molecular pathogenesis is complex, resulting from a wide range of events that involve the interplay between genetic mutations and altered levels of transcripts, proteins, and metabolites. Metabolomics is a recently developed sub-area of omics sciences focused on the comprehensive analysis of small molecules involved in several biological pathways by high throughput technologies.

Aim Of Review: This review summarizes and evaluates studies focused on the metabolomics analysis of OSCC and oral premalignant disorders to better interpret the complex process of oral carcinogenesis. Additionally, the metabolic biomarkers signatures identified so far are also included. Moreover, we discuss the limitations of these studies and make suggestions for future investigations.

Key Scientific Concepts: Although many questions about the metabolic features of OSCC have already been answered in metabolomic studies, further validation and optimization are still required to translate these findings into clinical applications.

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Source
http://dx.doi.org/10.1007/s11306-020-01727-6DOI Listing

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