Integrated transcriptomic and metabolomic analysis shows that disturbances in metabolism of tumor cells contribute to poor survival of RCC patients
Academic Article in Scopus
Overview
Identity
Additional document info
View All
Overview
abstract
© 2016 Elsevier B.V.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 43.22 months. 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.
status
publication date
published in
Identity
Digital Object Identifier (DOI)
PubMed ID
Additional document info
has global citation frequency
start page
end page
volume