Για να παραπέμψετε στο παρόν τεκμήριο παρακαλούμε χρησιμοποιήστε τα παρακάτω αναγνωριστικά: http://hdl.handle.net/11642/85
Τίτλος: Altered metabolic pathways in clear cell renal cell carcinoma: A meta-analysis and validation study focused on the deregulated genes and their associated networks
Δημιουργός: Zaravinos, Apostolos
Pieri, Myrtani
Mourmouras, Nikos
Anastasiadou, Natassa
Zouvani, Ioanna
Delakas, Dimitris
Deltas, Constantinos
Χρονολογία: 2014
Γλώσσα: Αγγλικά
Εξειδίκευση τύπου : Άρθρο
Περιγραφή: Oncoscience 2014, Vol.1, No.2
Περίληψη: Clear cell renal cell carcinoma (ccRCC) is the predominant subtype of renal cell carcinoma (RCC). It is one of the most therapy-resistant carcinomas, responding very poorly or not at all to radiotherapy, hormonal therapy and chemotherapy. A more comprehensive understanding of the deregulated pathways in ccRCC can lead to the development of new therapies and prognostic markers. We performed a metaanalysis of 5 publicly available gene expression datasets and identified a list of coderegulated genes, for which we performed extensive bioinformatic analysis coupled with experimental validation on the mRNA level. Gene ontology enrichment showed that many proteins are involved in response to hypoxia/oxygen levels and positive regulation of the VEGFR signaling pathway. KEGG analysis revealed that metabolic pathways are mostly altered in ccRCC. Similarly, Ingenuity Pathway Analysis showed that the antigen presentation, inositol metabolism, pentose phosphate, glycolysis/ gluconeogenesis and fructose/mannose metabolism pathways are altered in the disease. Cellular growth, proliferation and carbohydrate metabolism, were among the top molecular and cellular functions of the co-deregulated genes. qRT-PCR validated the deregulated expression of several genes in Caki-2 and ACHN cell lines and in a cohort of ccRCC tissues. NNMT and NR3C1 increased expression was evident in ccRCC biopsies from patients using immunohistochemistry. ROC curves evaluated the diagnostic performance of the top deregulated genes in each dataset. We show that metabolic pathways are mostly deregulated in ccRCC and we highlight those being most responsible in its formation. We suggest that these genes are candidate predictive markers of the disease.
Θέμα: Carcinoma, Renal Cell
Καρκίνωμα Νεφρικών Κυττάρων
Άδεια Χρήσης: Αναφορά Παρόμοια Διανομή
Διάθεση ψηφιακού τεκμηρίου: Πλήρης
Εμφανίζεται στις Ομάδες Τεκμηρίων:Ουρολογία

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