Literature DB >> 30445287

Identification of volatile metabolites in human saliva from patients with oral squamous cell carcinoma via zeolite-based thin-film microextraction coupled with GC-MS.

Hiroyo Shigeyama1, Tao Wang2, Masatoshi Ichinose2, Toshihiro Ansai3, Seung-Woo Lee4.   

Abstract

In recent years, volatile organic compounds (VOCs) discharged from the human body, of which some compounds exhibit strong correlations with pathological conditions, have attracted attention as a new means of disease diagnosis technology. The aim of this study was to establish the salivary metabolomic profiles of oral squamous cell carcinoma (OSCC) patients and healthy volunteers (control group) and to investigate VOCs as potential biomarkers in the diagnosis of oral cancer. We have demonstrated a method combining thin-film microextraction based on a ZSM-5/polydimethylsiloxane hybrid film coupled with gas chromatography-mass spectrometry and carried out a comparative analysis of salivary VOC profiles between OSCC patients and healthy controls. The results depicted that 42 and 73 VOCs were detected and identified in samples from the healthy control group (n = 50) and oral cancer group (n = 24), respectively. Among them, twenty-seven VOCs (ten were decreased, seven disappeared, and ten were newly produced in the oral cancer group) depict significant differences between both the sample groups, and they have relevance as candidate biomarkers for OSCC. Twelve salivary VOCs that were characteristic of oral cancer patients were finally extracted and used for pattern recognition analyses for oral cancer diagnosis. The proposed TFME approach for analyzing human saliva on the basis of a ZSM-5-loaded PDMS hybrid thin film has been performed for the very first time in the field of dentistry.
Copyright © 2018 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Biomarkers; GC–MS; Oral squamous cell carcinoma; Saliva; Thin-film microextraction; Volatile organic compounds; Zeolite

Mesh:

Substances:

Year:  2018        PMID: 30445287     DOI: 10.1016/j.jchromb.2018.11.002

Source DB:  PubMed          Journal:  J Chromatogr B Analyt Technol Biomed Life Sci        ISSN: 1570-0232            Impact factor:   3.205


  6 in total

1.  Salivary Metabolomics of Total Body Irradiated Nonhuman Primates Reveals Long-Term Normal Tissue Responses to Radiation.

Authors:  Evagelia C Laiakis; Denise Nishita; Kim Bujold; Meth M Jayatilake; James Bakke; Janet Gahagen; Simon Authier; Polly Chang; Albert J Fornace
Journal:  Int J Radiat Oncol Biol Phys       Date:  2019-07-25       Impact factor: 7.038

2.  Metabolomics of Oral/Head and Neck Cancer.

Authors:  Gaofei Yin; Junwei Huang; Wei Guo; Zhigang Huang
Journal:  Adv Exp Med Biol       Date:  2021       Impact factor: 2.622

3.  Identification of characteristic compounds of moderate volatility in breast cancer cell lines.

Authors:  Mitsuru Tanaka; Chung Hsuan; Masataka Oeki; Weilin Shen; Asuka Goda; Yusuke Tahara; Takeshi Onodera; Keisuke Sanematsu; Tomotsugu Rikitake; Eiji Oki; Yuzo Ninomiya; Rintaro Kurebayashi; Hideto Sonoda; Yoshihiko Maehara; Kiyoshi Toko; Toshiro Matsui
Journal:  PLoS One       Date:  2020-06-29       Impact factor: 3.240

Review 4.  Unravelling the Potential of Salivary Volatile Metabolites in Oral Diseases. A Review.

Authors:  Jorge A M Pereira; Priscilla Porto-Figueira; Ravindra Taware; Pritam Sukul; Srikanth Rapole; José S Câmara
Journal:  Molecules       Date:  2020-07-07       Impact factor: 4.411

Review 5.  Salivary Metabolomics for Oral Squamous Cell Carcinoma Diagnosis: A Systematic Review.

Authors:  Kacper Nijakowski; Dawid Gruszczyński; Dariusz Kopała; Anna Surdacka
Journal:  Metabolites       Date:  2022-03-26

6.  Feasibility of a Portable Electronic Nose for Detection of Oral Squamous Cell Carcinoma in Sudan.

Authors:  Nazar Mohamed; Rens van de Goor; Mariam El-Sheikh; Osman Elrayah; Tarig Osman; Elisabeth Sivy Nginamau; Anne Christine Johannessen; Ahmed Suleiman; Daniela Elena Costea; Kenneth W Kross
Journal:  Healthcare (Basel)       Date:  2021-05-03
  6 in total

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