The Implications of PDK1-4 on Tumor Energy Metabolism, Aggressiveness and Therapy Resistance.

Warburg effect aerobic glycolysis cancer metabolism oxidative phosphorylation prostate cancer pyruvate dehydrogenase kinase therapy resistance tricarboxylic acid cycle

Journal

Frontiers in oncology
ISSN: 2234-943X
Titre abrégé: Front Oncol
Pays: Switzerland
ID NLM: 101568867

Informations de publication

Date de publication:
2020
Historique:
received: 14 07 2020
accepted: 13 11 2020
entrez: 1 1 2021
pubmed: 2 1 2021
medline: 2 1 2021
Statut: epublish

Résumé

A metabolic shift from oxidative phosphorylation (OXPHOS) to glycolysis-known as the Warburg effect-is characteristic for many cancers. It gives the cancer cells a survival advantage in the hypoxic tumor microenvironment and protects them from cytotoxic effects of oxidative damage and apoptosis. The main regulators of this metabolic shift are the pyruvate dehydrogenase complex and pyruvate dehydrogenase kinase (PDK) isoforms 1-4. PDK is known to be overexpressed in several cancers and is associated with bad prognosis and therapy resistance. Whereas the expression of PDK1-3 is tissue specific, PDK4 expression is dependent on the energetic state of the whole organism. In contrast to other PDK isoforms, not only oncogenic, but also tumor suppressive functions of PDK4 have been reported. In tumors that profit from high OXPHOS and high

Identifiants

pubmed: 33384955
doi: 10.3389/fonc.2020.583217
pmc: PMC7771695
doi:

Types de publication

Journal Article Review

Langues

eng

Pagination

583217

Informations de copyright

Copyright © 2020 Atas, Oberhuber and Kenner.

Déclaration de conflit d'intérêts

LK is a member of the scientific advisory board of CBmed-Center for Biomarker Research in Medicine GmbH. Author MO was employed by COMET centre (K1) CBmed—Center for Biomarker Research in Medicine GmbH. The remaining authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

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Auteurs

Emine Atas (E)

Department of Pathology, Medical University of Vienna, Vienna, Austria.

Monika Oberhuber (M)

Department of Pathology, Medical University of Vienna, Vienna, Austria.
Area 'Data & Technologies', CBmed-Center for Biomarker Research in Medicine GmbH, Graz, Austria.

Lukas Kenner (L)

Department of Pathology, Medical University of Vienna, Vienna, Austria.
Area 'Data & Technologies', CBmed-Center for Biomarker Research in Medicine GmbH, Graz, Austria.
Unit of Pathology of Laboratory Animals, University of Veterinary Medicine Vienna, Vienna, Austria.
Christian Doppler Laboratory for Applied Metabolomics (CDL AM), Division of Nuclear Medicine, Department of Biomedical Imaging and Image-Guided Therapy, Medical University of Vienna, Vienna, Austria.

Classifications MeSH