Literature DB >> 30098763

Metabolic signature of squamous cell carcinoma of the head and neck: Consequences of TP53 mutation and therapeutic perspectives.

Mark D Wilkie1, Andrew S Lau2, Nikolina Vlatkovic3, Terence M Jones2, Mark T Boyd3.   

Abstract

There is a pressing need to identify ways of sensitising squamous cell carcinomas of the head and neck (SCCHN) to the effects of current treatments, both from oncological and functional perspectives. Alteration to cellular metabolism is now widely considered a hallmark of the cancer phenotype; presents a potentially attractive therapeutic target in this regard; and as such has received renewed research interest in recent years. However, whilst metabolic disruption may occur to some degree in all tumours, there is undoubtedly heterogeneity and detailed study of individual tumour types is paramount if effective therapeutic strategies targeting metabolism are to be developed and effectively deployed. In this review we outline current understanding of altered tumour metabolism and how these adaptations promote tumorigenesis generally. We relate this specifically to SCCHN by focusing on several recent key studies specific to SCCHN, and by discussing the role TP53 mutation may play in this metabolic switch, given the fundamental role of this oncogenic event in SCCHN tumorigenesis. Finally, we also offer insight into the potential therapeutic implications this may have in the clinical setting and make recommendations for future study.
Copyright © 2018 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Biomarkers, Tumor/metabolism; Glycolysis/drug effects; Glycolysis/physiology; Glycolysis/radiation effects; Head and Neck Neoplasms/drug therapy; Head and Neck Neoplasms/genetics; Head and Neck Neoplasms/metabolism; Head and Neck Neoplasms/radiotherapy; Reactive Oxygen Species/metabolism; Tumor Suppressor Protein p53/genetics

Year:  2018        PMID: 30098763     DOI: 10.1016/j.oraloncology.2018.05.018

Source DB:  PubMed          Journal:  Oral Oncol        ISSN: 1368-8375            Impact factor:   5.337


  7 in total

1.  Plasma Metabolic Phenotypes of HPV-Associated versus Smoking-Associated Head and Neck Cancer and Patient Survival.

Authors:  Ronald C Eldridge; Karan Uppal; D Neil Hayes; M Ryan Smith; Xin Hu; Zhaohui S Qin; Jonathan J Beitler; Andrew H Miller; Evanthia C Wommack; Kristin A Higgins; Dong M Shin; Bryan Ulrich; David C Qian; Nabil F Saba; Deborah W Bruner; Dean P Jones; Canhua Xiao
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2021-08-10       Impact factor: 4.254

2.  MicroRNA-3666 Suppresses Cell Growth in Head and Neck Squamous Cell Carcinoma Through Inhibition of PFKFB3-Mediated Warburg Effect.

Authors:  Lan Chen; Yaxuan Cao; Bei Wu; Yu Cao
Journal:  Onco Targets Ther       Date:  2020-09-10       Impact factor: 4.147

3.  Diagnostic accuracy and prognostic applications of CYFRA 21-1 in head and neck cancer: A systematic review and meta-analysis.

Authors:  Lihui Liu; Wenji Xie; Pei Xue; Zixuan Wei; Xiao Liang; Nianyong Chen
Journal:  PLoS One       Date:  2019-05-09       Impact factor: 3.240

4.  Association Between Vitamin D Exposure and Head and Neck Cancer: A Systematic Review With Meta-Analysis.

Authors:  Yuting Pu; Gangcai Zhu; Yimin Xu; Siyuan Zheng; Bin Tang; Huimei Huang; Irene X Y Wu; Donghai Huang; Yong Liu; Xin Zhang
Journal:  Front Immunol       Date:  2021-02-23       Impact factor: 7.561

5.  Head and Neck Squamous Cell Carcinoma Subtypes Based on Immunologic and Hallmark Gene Sets in Tumor and Non-tumor Tissues.

Authors:  Ji Yin; Xinling He; Hui Xia; Lu He; Daiying Li; Lanxin Hu; Sihan Zheng; Yanlin Huang; Sen Li; Wenjian Hu
Journal:  Front Surg       Date:  2022-02-03

6.  TP53 mutations in head and neck cancer cells determine the Warburg phenotypic switch creating metabolic vulnerabilities and therapeutic opportunities for stratified therapies.

Authors:  Mark D Wilkie; Emad A Anaam; Andrew S Lau; Carlos P Rubbi; Terence M Jones; Mark T Boyd; Nikolina Vlatković
Journal:  Cancer Lett       Date:  2020-02-28       Impact factor: 8.679

7.  Expression scoring of a small-nucleolar-RNA signature identified by machine learning serves as a prognostic predictor for head and neck cancer.

Authors:  Lu Xing; Xiaoqi Zhang; Xiaoqian Zhang; Dongdong Tong
Journal:  J Cell Physiol       Date:  2020-01-14       Impact factor: 6.384

  7 in total

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