Identification of Metabolism-Associated Biomarkers for Early and Precise Diagnosis of Oral Squamous Cell Carcinoma

The 5-year survival rate for oral squamous cell carcinoma (OSCC), one of the most common head and neck cancers, has not improved in the last 20 years. Poor prognosis of OSCC is the result of failure in early and precise diagnosis. Metabolic reprogramming, including the alteration of the uptake and u...

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Autores principales: Wang, Yuhan, Zhang, Xiaoxin, Wang, Shuai, Li, Zihui, Hu, Xinyang, Yang, Xihu, Song, Yuxian, Jing, Yue, Hu, Qingang, Ni, Yanhong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Review
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8945702/
https://www.ncbi.nlm.nih.gov/pubmed/35327590
http://dx.doi.org/10.3390/biom12030400
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author Wang, Yuhan
Zhang, Xiaoxin
Wang, Shuai
Li, Zihui
Hu, Xinyang
Yang, Xihu
Song, Yuxian
Jing, Yue
Hu, Qingang
Ni, Yanhong
author_facet Wang, Yuhan
Zhang, Xiaoxin
Wang, Shuai
Li, Zihui
Hu, Xinyang
Yang, Xihu
Song, Yuxian
Jing, Yue
Hu, Qingang
Ni, Yanhong
author_sort Wang, Yuhan
collection PubMed
description The 5-year survival rate for oral squamous cell carcinoma (OSCC), one of the most common head and neck cancers, has not improved in the last 20 years. Poor prognosis of OSCC is the result of failure in early and precise diagnosis. Metabolic reprogramming, including the alteration of the uptake and utilisation of glucose, amino acids and lipids, is an important feature of OSCC and can be used to identify its biomarkers for early and precise diagnosis. In this review, we summarise how recent findings of rewired metabolic networks in OSCC have facilitated early and precise diagnosis of OSCC.
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spelling pubmed-89457022022-03-25 Identification of Metabolism-Associated Biomarkers for Early and Precise Diagnosis of Oral Squamous Cell Carcinoma Wang, Yuhan Zhang, Xiaoxin Wang, Shuai Li, Zihui Hu, Xinyang Yang, Xihu Song, Yuxian Jing, Yue Hu, Qingang Ni, Yanhong Biomolecules Review The 5-year survival rate for oral squamous cell carcinoma (OSCC), one of the most common head and neck cancers, has not improved in the last 20 years. Poor prognosis of OSCC is the result of failure in early and precise diagnosis. Metabolic reprogramming, including the alteration of the uptake and utilisation of glucose, amino acids and lipids, is an important feature of OSCC and can be used to identify its biomarkers for early and precise diagnosis. In this review, we summarise how recent findings of rewired metabolic networks in OSCC have facilitated early and precise diagnosis of OSCC. MDPI 2022-03-04 /pmc/articles/PMC8945702/ /pubmed/35327590 http://dx.doi.org/10.3390/biom12030400 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/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/).
spellingShingle Review
Wang, Yuhan
Zhang, Xiaoxin
Wang, Shuai
Li, Zihui
Hu, Xinyang
Yang, Xihu
Song, Yuxian
Jing, Yue
Hu, Qingang
Ni, Yanhong
Identification of Metabolism-Associated Biomarkers for Early and Precise Diagnosis of Oral Squamous Cell Carcinoma
title Identification of Metabolism-Associated Biomarkers for Early and Precise Diagnosis of Oral Squamous Cell Carcinoma
title_full Identification of Metabolism-Associated Biomarkers for Early and Precise Diagnosis of Oral Squamous Cell Carcinoma
title_fullStr Identification of Metabolism-Associated Biomarkers for Early and Precise Diagnosis of Oral Squamous Cell Carcinoma
title_full_unstemmed Identification of Metabolism-Associated Biomarkers for Early and Precise Diagnosis of Oral Squamous Cell Carcinoma
title_short Identification of Metabolism-Associated Biomarkers for Early and Precise Diagnosis of Oral Squamous Cell Carcinoma
title_sort identification of metabolism-associated biomarkers for early and precise diagnosis of oral squamous cell carcinoma
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8945702/
https://www.ncbi.nlm.nih.gov/pubmed/35327590
http://dx.doi.org/10.3390/biom12030400
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