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10.1111/j.1582-4934.2009.00939.x http://scihub22266oqcxt.onion/10.1111/j.1582-4934.2009.00939.x C3822498!3822498!19845817     free     free     free Deprecated: Implicit conversion from float 233.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 233.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 233.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       J+Cell+Mol+Med 2011 ; 15 (1): 109-18 Nephropedia Template TP {{tp|p=19845817|t=2011. Metabolic profiling reveals key metabolic features of renal cell carcinoma |pdf=|usr=}}{{19845817}} gab.com Text Metabolic profiling reveals key metabolic features of renal cell carcinoma JO: J Cell Mol Med http://www.kidney.de/pget.php?&tw=1&pmid=19845817 #FOAvip Recent evidence suggests that metabolic changes play a pivotal role in the biology of cancer and in particular renal cell carcinoma (RCC). Here, a global metabolite profiling approach was applied to characterize the metabolite pool of RCC and normal renal tissue. Advanced decision tree models were applied to characterize the metabolic signature of RCC and to explore features of metastasized tumours. The findings were validated in a second independent dataset. Vitamin E derivates and metabolites of glucose, fatty acid, and inositol phosphate metabolism determined the metabolic profile of RCC. ?-tocopherol, hippuric acid, myoinositol, fructose-1-phosphate and glucose-1-phosphate contributed most to the tumour/normal discrimination and all showed pronounced concentration changes in RCC. The identified metabolic profile was characterized by a low recognition error of only 5% for tumour versus normal samples. Data on metastasized tumours suggested a key role for metabolic pathways involving arachidonic acid, free fatty acids, proline, uracil and the tricarboxylic acid cycle. These results illustrate the potential of mass spectroscopy based metabolomics in conjunction with sophisticated data analysis methods to uncover the metabolic phenotype of cancer. Differentially regulated metabolites, such as vitamin E compounds, hippuric acid and myoinositol, provide leads for the characterization of novel pathways in RCC. Twit Text FOAVip Metabolic profiling reveals key metabolic features of renal cell carcinoma ????J Cell Mol Med http://www.kidney.de/pget.php?&tw=1&pmid=19845817 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=19845817 #FOAvip English Wikipedia <ref>{{Cite pmid|19845817}}</ref> Metabolic profiling reveals key metabolic features of renal cell carcinoma #MMPMID19845817 Catchpole G; Platzer A; Weikert C; Kempkensteffen C; Johannsen M; Krause H; Jung K; Miller K; Willmitzer L; Selbig J; Weikert S J Cell Mol Med 2011[Jan]; 15 (1): 109-18 PMID19845817show ga Recent evidence suggests that metabolic changes play a pivotal role in the biology of cancer and in particular renal cell carcinoma (RCC). Here, a global metabolite profiling approach was applied to characterize the metabolite pool of RCC and normal renal tissue. Advanced decision tree models were applied to characterize the metabolic signature of RCC and to explore features of metastasized tumours. The findings were validated in a second independent dataset. Vitamin E derivates and metabolites of glucose, fatty acid, and inositol phosphate metabolism determined the metabolic profile of RCC. ?-tocopherol, hippuric acid, myoinositol, fructose-1-phosphate and glucose-1-phosphate contributed most to the tumour/normal discrimination and all showed pronounced concentration changes in RCC. The identified metabolic profile was characterized by a low recognition error of only 5% for tumour versus normal samples. Data on metastasized tumours suggested a key role for metabolic pathways involving arachidonic acid, free fatty acids, proline, uracil and the tricarboxylic acid cycle. These results illustrate the potential of mass spectroscopy based metabolomics in conjunction with sophisticated data analysis methods to uncover the metabolic phenotype of cancer. Differentially regulated metabolites, such as vitamin E compounds, hippuric acid and myoinositol, provide leads for the characterization of novel pathways in RCC. äMetabolic profiling reveals key metabolic features of renal cell carci(epmc).pdf DeepDyve Pubget Overpricing