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Comprehensive metabolomics analysis of prostate cancer tissue in relation to tumor aggressiveness and TMPRSS2-ERG fusion status.
Dudka, Ilona; Thysell, Elin; Lundquist, Kristina; Antti, Henrik; Iglesias-Gato, Diego; Flores-Morales, Amilcar; Bergh, Anders; Wikström, Pernilla; Gröbner, Gerhard.
Afiliação
  • Dudka I; Department of Chemistry, Umeå University, Linnaeus väg 6, 901 87, Umeå, Sweden.
  • Thysell E; Department of Medical Biosciences, Pathology, Umeå University, Umeå, Sweden.
  • Lundquist K; Department of Chemistry, Umeå University, Linnaeus väg 6, 901 87, Umeå, Sweden.
  • Antti H; Department of Chemistry, Umeå University, Linnaeus väg 6, 901 87, Umeå, Sweden.
  • Iglesias-Gato D; IVS, Faculty of Health Sciences, University of Copenhagen, Copenhagen, Denmark.
  • Flores-Morales A; Novo Nordisk Foundation Centre for Protein Research, Faculty of Health Sciences, University of Copenhagen, Copenhagen, Denmark.
  • Bergh A; Danish Cancer Society, Copenhagen, Denmark.
  • Wikström P; IVS, Faculty of Health Sciences, University of Copenhagen, Copenhagen, Denmark.
  • Gröbner G; Novo Nordisk Foundation Centre for Protein Research, Faculty of Health Sciences, University of Copenhagen, Copenhagen, Denmark.
BMC Cancer ; 20(1): 437, 2020 May 18.
Article em En | MEDLINE | ID: mdl-32423389
BACKGROUND: Prostate cancer (PC) can display very heterogeneous phenotypes ranging from indolent asymptomatic to aggressive lethal forms. Understanding how these PC subtypes vary in their striving for energy and anabolic molecules is of fundamental importance for developing more effective therapies and diagnostics. Here, we carried out an extensive analysis of prostate tissue samples to reveal metabolic alterations during PC development and disease progression and furthermore between TMPRSS2-ERG rearrangement-positive and -negative PC subclasses. METHODS: Comprehensive metabolomics analysis of prostate tissue samples was performed by non-destructive high-resolution magic angle spinning nuclear magnetic resonance (1H HR MAS NMR). Subsequently, samples underwent moderate extraction, leaving tissue morphology intact for histopathological characterization. Metabolites in tissue extracts were identified by 1H/31P NMR and liquid chromatography-mass spectrometry (LC-MS). These metabolomics profiles were analyzed by chemometric tools and the outcome was further validated using proteomic data from a separate sample cohort. RESULTS: The obtained metabolite patterns significantly differed between PC and benign tissue and between samples with high and low Gleason score (GS). Five key metabolites (phosphocholine, glutamate, hypoxanthine, arginine and α-glucose) were identified, who were sufficient to differentiate between cancer and benign tissue and between high to low GS. In ERG-positive PC, the analysis revealed several acylcarnitines among the increased metabolites together with decreased levels of proteins involved in ß-oxidation; indicating decreased acyl-CoAs oxidation in ERG-positive tumors. The ERG-positive group also showed increased levels of metabolites and proteins involved in purine catabolism; a potential sign of increased DNA damage and oxidative stress. CONCLUSIONS: Our comprehensive metabolomic analysis strongly indicates that ERG-positive PC and ERG-negative PC should be considered as different subtypes of PC; a fact requiring different, sub-type specific treatment strategies for affected patients.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Neoplasias da Próstata / Biomarcadores Tumorais / Proteínas de Fusão Oncogênica / Metaboloma Idioma: En Ano de publicação: 2020 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Neoplasias da Próstata / Biomarcadores Tumorais / Proteínas de Fusão Oncogênica / Metaboloma Idioma: En Ano de publicação: 2020 Tipo de documento: Article