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Peitzsch, C.* ; Gorodetska, I.* ; Klusa, D.* ; Shi, Q.* ; Alves, T.C. ; Pantel, K.* ; Dubrovska, A.*

Metabolic regulation of prostate cancer heterogeneity and plasticity.

Semin. Cancer Biol. 82, 94-119 (2022)
DOI PMC
Open Access Green möglich sobald Postprint bei der ZB eingereicht worden ist.
Metabolic reprogramming is one of the main hallmarks of cancer cells. It refers to the metabolic adaptations of tumor cells in response to nutrient deficiency, microenvironmental insults, and anti-cancer therapies. Metabolic transformation during tumor development plays a critical role in the continued tumor growth and progression and is driven by a complex interplay between the tumor mutational landscape, epigenetic modifications, and microenvironmental influences. Understanding the tumor metabolic vulnerabilities might open novel diagnostic and therapeutic approaches with the potential to improve the efficacy of current tumor treatments. Prostate cancer is a highly heterogeneous disease harboring different mutations and tumor cell phenotypes. While the increase of intra-tumor genetic and epigenetic heterogeneity is associated with tumor progression, less is known about metabolic regulation of prostate cancer cell heterogeneity and plasticity. This review summarizes the central metabolic adaptations in prostate tumors, state-of-the-art technologies for metabolic analysis, and the perspectives for metabolic targeting and diagnostic implications.
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Publikationstyp Artikel: Journalartikel
Dokumenttyp Review
Schlagwörter Cancer Stem Cells ; Circulating Tumor Cells ; Disseminated Tumor Cells ; Metabolic Biomarkers ; Metabolic Heterogeneity ; Metabolic Reprogramming ; Metabolic Therapies ; Metabolomics ; Prostate Cancer
Sprache englisch
Veröffentlichungsjahr 2022
HGF-Berichtsjahr 2022
ISSN (print) / ISBN 1044-579X
e-ISSN 1096-3650
Quellenangaben Band: 82, Heft: , Seiten: 94-119 Artikelnummer: , Supplement: ,
Verlag Saunders
Verlagsort Philadelphia, Pa.
Begutachtungsstatus Peer reviewed
Institut(e) Institute of Pancreatic Islet Research (IPI)
POF Topic(s) 90000 - German Center for Diabetes Research
Forschungsfeld(er) Helmholtz Diabetes Center
PSP-Element(e) G-502600-008
PubMed ID 33290846
Erfassungsdatum 2022-12-19