Salivary Metabolomics for Oral Cancer Detection: A Narrative Review

Karthika Panneerselvam; Shigeo Ishikawa; Rajkumar Krishnan; Masahiro Sugimoto

doi:10.3390/metabo12050436

Salivary Metabolomics for Oral Cancer Detection: A Narrative Review

Karthika Panneerselvam, Shigeo Ishikawa, Rajkumar Krishnan, Masahiro Sugimoto

Graduate School of Media and Governance

Research output: Contribution to journal › Review article › peer-review

Abstract

The development of low-or non-invasive screening tests for cancer is crucial for early detection. Saliva is an ideal biofluid containing informative components for monitoring oral and systemic diseases. Metabolomics has frequently been used to identify and quantify numerous metabolites in saliva samples, serving as novel biomarkers associated with various conditions, including cancers. This review summarizes the recent applications of salivary metabolomics in biomarker discovery in oral cancers. We discussed the prevalence, epidemiologic characteristics, and risk factors of oral cancers, as well as the currently available screening programs, in India and Japan. These data imply that the development of biomarkers by itself is inadequate in cancer detection. The use of current diagnostic methods and new technologies is necessary for efficient salivary metabolomics analysis. We also discuss the gap between biomarker discovery and nationwide screening for the early detection of oral cancer and its prevention.

Original language	English
Article number	436
Journal	Metabolites
Volume	12
Issue number	5
DOIs	https://doi.org/10.3390/metabo12050436
Publication status	Published - 2022 May

Keywords

diagnosis
machine learning
metabolomics
oral cancer
prognosis
saliva

ASJC Scopus subject areas

Endocrinology, Diabetes and Metabolism
Biochemistry
Molecular Biology

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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title = "Salivary Metabolomics for Oral Cancer Detection: A Narrative Review",

abstract = "The development of low-or non-invasive screening tests for cancer is crucial for early detection. Saliva is an ideal biofluid containing informative components for monitoring oral and systemic diseases. Metabolomics has frequently been used to identify and quantify numerous metabolites in saliva samples, serving as novel biomarkers associated with various conditions, including cancers. This review summarizes the recent applications of salivary metabolomics in biomarker discovery in oral cancers. We discussed the prevalence, epidemiologic characteristics, and risk factors of oral cancers, as well as the currently available screening programs, in India and Japan. These data imply that the development of biomarkers by itself is inadequate in cancer detection. The use of current diagnostic methods and new technologies is necessary for efficient salivary metabolomics analysis. We also discuss the gap between biomarker discovery and nationwide screening for the early detection of oral cancer and its prevention.",

keywords = "diagnosis, machine learning, metabolomics, oral cancer, prognosis, saliva",

author = "Karthika Panneerselvam and Shigeo Ishikawa and Rajkumar Krishnan and Masahiro Sugimoto",

note = "Funding Information: This work was supported by grants from JSPS KAKENHI (Grant Numbers: JP21K07228, 20H05742, 20H05743, 20K07633, and 20K09171), the Program on Open Innovation Platform with Enterprises, Research Institute and Academia (OPERA, JPMJOP1842), and YU-COE(C) from Yamagata University. We thank Editage for revising this manuscript. Publisher Copyright: {\textcopyright} 2022 by the authors. Licensee MDPI, Basel, Switzerland.",

year = "2022",

month = may,

doi = "10.3390/metabo12050436",

language = "English",

volume = "12",

journal = "Metabolites",

issn = "2218-1989",

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TY - JOUR

T1 - Salivary Metabolomics for Oral Cancer Detection

T2 - A Narrative Review

AU - Panneerselvam, Karthika

AU - Ishikawa, Shigeo

AU - Krishnan, Rajkumar

AU - Sugimoto, Masahiro

N1 - Funding Information: This work was supported by grants from JSPS KAKENHI (Grant Numbers: JP21K07228, 20H05742, 20H05743, 20K07633, and 20K09171), the Program on Open Innovation Platform with Enterprises, Research Institute and Academia (OPERA, JPMJOP1842), and YU-COE(C) from Yamagata University. We thank Editage for revising this manuscript. Publisher Copyright: © 2022 by the authors. Licensee MDPI, Basel, Switzerland.

PY - 2022/5

Y1 - 2022/5

N2 - The development of low-or non-invasive screening tests for cancer is crucial for early detection. Saliva is an ideal biofluid containing informative components for monitoring oral and systemic diseases. Metabolomics has frequently been used to identify and quantify numerous metabolites in saliva samples, serving as novel biomarkers associated with various conditions, including cancers. This review summarizes the recent applications of salivary metabolomics in biomarker discovery in oral cancers. We discussed the prevalence, epidemiologic characteristics, and risk factors of oral cancers, as well as the currently available screening programs, in India and Japan. These data imply that the development of biomarkers by itself is inadequate in cancer detection. The use of current diagnostic methods and new technologies is necessary for efficient salivary metabolomics analysis. We also discuss the gap between biomarker discovery and nationwide screening for the early detection of oral cancer and its prevention.

AB - The development of low-or non-invasive screening tests for cancer is crucial for early detection. Saliva is an ideal biofluid containing informative components for monitoring oral and systemic diseases. Metabolomics has frequently been used to identify and quantify numerous metabolites in saliva samples, serving as novel biomarkers associated with various conditions, including cancers. This review summarizes the recent applications of salivary metabolomics in biomarker discovery in oral cancers. We discussed the prevalence, epidemiologic characteristics, and risk factors of oral cancers, as well as the currently available screening programs, in India and Japan. These data imply that the development of biomarkers by itself is inadequate in cancer detection. The use of current diagnostic methods and new technologies is necessary for efficient salivary metabolomics analysis. We also discuss the gap between biomarker discovery and nationwide screening for the early detection of oral cancer and its prevention.

KW - diagnosis

KW - machine learning

KW - metabolomics

KW - oral cancer

KW - prognosis

KW - saliva

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DO - 10.3390/metabo12050436

M3 - Review article

AN - SCOPUS:85130334331

SN - 2218-1989

VL - 12

JO - Metabolites

JF - Metabolites

IS - 5

M1 - 436

ER -

Salivary Metabolomics for Oral Cancer Detection: A Narrative Review

Abstract

Keywords

ASJC Scopus subject areas

UN SDGs

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