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BAI1 as a Prognostic Marker of Clear Cell Renal Cell Carcinoma (ccRCC)
M. Pesta, I. Travnicek, V. Kulda, J. Windrichova, H. Rezackova, K. Houfkova, T. Macanova, B. Bendova, A. Nestorova, O. Hes, M. Hora, O. Topolcan, J. Polivka
Jazyk angličtina Země Řecko
Typ dokumentu časopisecké články
NLK
Free Medical Journals
od 2004 do Před 2 roky
Open Access Digital Library
od 2004-01-01
- MeSH
- analýza přežití MeSH
- angiogenní proteiny genetika MeSH
- karcinom z renálních buněk genetika mortalita chirurgie MeSH
- lidé MeSH
- nádorové biomarkery genetika MeSH
- nádory ledvin genetika mortalita chirurgie MeSH
- prognóza MeSH
- receptory spřažené s G-proteiny genetika MeSH
- regresní analýza MeSH
- regulace genové exprese u nádorů MeSH
- sekvenční analýza hybridizací s uspořádaným souborem oligonukleotidů MeSH
- stanovení celkové genové exprese metody MeSH
- upregulace * MeSH
- Check Tag
- lidé MeSH
- mužské pohlaví MeSH
- ženské pohlaví MeSH
- Publikační typ
- časopisecké články MeSH
BACKGROUND/AIM: The treatment of advanced clear cell renal cell carcinoma (ccRCC) is based on stratification of patients according to prognosis (favorable, intermediate, and poor). The aim of the study was to improve prognostication by biomarkers involved in angiogenesis. PATIENTS AND METHODS: The study group consisted of 20 patients who underwent surgery for ccRCC. Gene expression analysis was peformed on a set of matched (primary tumor, metastasis, n=20+20) FFPE tissue samples. An additional analysis was done on expression data of 606 patients obtained from the TCGA Kidney Clear Cell Carcinoma (KIRC) database. Quantitative estimation of mRNA of selected genes (TaqMan human Angiogenesis Array, 97 genes) was performed by a real-time RT-PCR method with TaqMan® arrays. RESULTS: Using the Cox regression model, 4 genes (PDGFB, FGF4, EPHB2 and BAI1) were identified whose expression was related to progression-free interval (PFI). Further analysis using the Kaplan Meier method conclusively revealed the relationship of BAI1 expression to prognosis (both datasets). Patients with higher BAI1 expression had significantly shorter PFI and overall survival. CONCLUSION: We showed that tumor tissue BAI1 expression level is a prognostic marker in ccRCC. Therefore, this gene might be involved in a prognostic panel to improve scoring systems on which the management of metastatic ccRCC patients is based.
Department of Biology Charles University Faculty of Medicine in Pilsen Pilsen Czech Republic
Department of Pathology University Hospital in Pilsen Pilsen Czech Republic
Department of Urology University Hospital in Pilsen Pilsen Czech Republic
Laboratory of Immunoanalysis University Hospital in Pilsen Pilsen Czech Republic
Citace poskytuje Crossref.org
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- $a BACKGROUND/AIM: The treatment of advanced clear cell renal cell carcinoma (ccRCC) is based on stratification of patients according to prognosis (favorable, intermediate, and poor). The aim of the study was to improve prognostication by biomarkers involved in angiogenesis. PATIENTS AND METHODS: The study group consisted of 20 patients who underwent surgery for ccRCC. Gene expression analysis was peformed on a set of matched (primary tumor, metastasis, n=20+20) FFPE tissue samples. An additional analysis was done on expression data of 606 patients obtained from the TCGA Kidney Clear Cell Carcinoma (KIRC) database. Quantitative estimation of mRNA of selected genes (TaqMan human Angiogenesis Array, 97 genes) was performed by a real-time RT-PCR method with TaqMan® arrays. RESULTS: Using the Cox regression model, 4 genes (PDGFB, FGF4, EPHB2 and BAI1) were identified whose expression was related to progression-free interval (PFI). Further analysis using the Kaplan Meier method conclusively revealed the relationship of BAI1 expression to prognosis (both datasets). Patients with higher BAI1 expression had significantly shorter PFI and overall survival. CONCLUSION: We showed that tumor tissue BAI1 expression level is a prognostic marker in ccRCC. Therefore, this gene might be involved in a prognostic panel to improve scoring systems on which the management of metastatic ccRCC patients is based.
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