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Integrated transcriptomic and metabolomic analysis shows that disturbances in metabolism of tumor cells contribute to poor survival of RCC patients.
Poplawski, Piotr; Tohge, Takayuki; Boguslawska, Joanna; Rybicka, Beata; Tanski, Zbigniew; Treviño, Victor; Fernie, Alisdair R; Piekielko-Witkowska, Agnieszka.
Afiliação
  • Poplawski P; Centre of Postgraduate Medical Education, Department of Biochemistry and Molecular Biology, Warsaw, Poland.
  • Tohge T; Max-Planck Institute of Molecular Plant Physiology, Potsdam-Golm, Germany.
  • Boguslawska J; Centre of Postgraduate Medical Education, Department of Biochemistry and Molecular Biology, Warsaw, Poland.
  • Rybicka B; Centre of Postgraduate Medical Education, Department of Biochemistry and Molecular Biology, Warsaw, Poland.
  • Tanski Z; Masovian Specialist Hospital in Ostroleka, Ostroleka, Poland.
  • Treviño V; Cátedra de Bioinformática, Tecnológico de Monterrey, Monterrey, Nuevo León, Mexico.
  • Fernie AR; Max-Planck Institute of Molecular Plant Physiology, Potsdam-Golm, Germany.
  • Piekielko-Witkowska A; Centre of Postgraduate Medical Education, Department of Biochemistry and Molecular Biology, Warsaw, Poland. Electronic address: apiekielko@cmkp.edu.pl.
Biochim Biophys Acta Mol Basis Dis ; 1863(3): 744-752, 2017 03.
Article em En | MEDLINE | ID: mdl-28012969
PURPOSE: Cellular metabolism of renal cell carcinoma (RCC) tumors is disturbed. The clinical significance of these alterations is weakly understood. We aimed to find if changes in metabolic pathways contribute to survival of RCC patients. MATERIAL AND METHODS: 35 RCC tumors and matched controls were used for metabolite profiling using gas chromatography-mass spectrometry and transcriptomic analysis with qPCR-arrays targeting the expression of 93 metabolic genes. The clinical significance of obtained data was validated on independent cohort of 468 RCC patients with median follow-up of 43.22months. RESULTS: The levels of 31 metabolites were statistically significantly changed in RCC tumors compared with controls. The top altered metabolites included beta-alanine (+4.2-fold), glucose (+3.4-fold), succinate (-11.0-fold), myo-inositol (-4.6-fold), adenine (-4.2-fold), uracil (-3.7-fold), and hypoxanthine (-3.0-fold). These disturbances were associated with altered expression of 53 metabolic genes. ROC curve analysis revealed that the top metabolites discriminating between tumor and control samples included succinate (AUC=0.91), adenine (AUC=0.89), myo-inositol (AUC=0.87), hypoxanthine (AUC=0.85), urea (AUC=0.85), and beta-alanine (AUC=0.85). Poor survival of RCC patients correlated (p<0.0001) with altered expression of genes involved in metabolism of succinate (HR=2.7), purines (HR=2.4), glucose (HR=2.4), beta-alanine (HR=2.5), and myo-inositol (HR=1.9). CONCLUSIONS: We found that changes in metabolism of succinate, beta-alanine, purines, glucose and myo-inositol correlate with poor survival of RCC patients.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Carcinoma de Células Renais / Metaboloma / Transcriptoma / Neoplasias Renais Tipo de estudo: Prognostic_studies Limite: Female / Humans / Male Idioma: En Revista: Biochim Biophys Acta Mol Basis Dis Ano de publicação: 2017 Tipo de documento: Article País de afiliação: Polônia

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Carcinoma de Células Renais / Metaboloma / Transcriptoma / Neoplasias Renais Tipo de estudo: Prognostic_studies Limite: Female / Humans / Male Idioma: En Revista: Biochim Biophys Acta Mol Basis Dis Ano de publicação: 2017 Tipo de documento: Article País de afiliação: Polônia