| http://purl.uniprot.org/citations/26425554 | http://www.w3.org/1999/02/22-rdf-syntax-ns#type | http://purl.uniprot.org/core/Journal_Citation |
| http://purl.uniprot.org/citations/26425554 | http://www.w3.org/2000/01/rdf-schema#comment | "Renal cell carcinoma (RCC) is one of the most lethal urologic cancers and about 80% of RCC are of the clear-cell type (ccRCC). However, there are no serum biomarkers for the accurate diagnosis of RCC. In this study, we performed a quantitative proteomic analysis on serum samples from ccRCC patients and control group by using isobaric tag for relative and absolute quantitation (iTRAQ) labeling and LC-MS/MS analysis to access differentially expressed proteins. Overall, 16 proteins were significantly upregulated (ratio > 1.5) and 14 proteins were significantly downregulated (ratio < 0.67) in early-stage ccRCC compared to control group. HSC71 was selected and subsequently validated by Western blot in six independent sets of patients. ELISA subsequently confirmed HSC71 as a potential serum biomarker for distinguishing RCC from benign urologic disease with an operating characteristic curve (ROC) area under the curve (AUC) of 0.86 (95% confidence interval (CI), 0.76~0.96), achieving sensitivity of 87% (95% CI 69%~96%) at a specificity of 80% (95% CI 61~92%) with a threshold of 15 ng/mL. iTRAQ-based quantitative proteomic analysis led to identification of serum HSC71 as a novel serum biomarker of RCC, particularly useful in early diagnosis of ccRCC."xsd:string |
| http://purl.uniprot.org/citations/26425554 | http://purl.org/dc/terms/identifier | "doi:10.1155/2015/802153"xsd:string |
| http://purl.uniprot.org/citations/26425554 | http://purl.uniprot.org/core/author | "Cai Y."xsd:string |
| http://purl.uniprot.org/citations/26425554 | http://purl.uniprot.org/core/author | "Li H."xsd:string |
| http://purl.uniprot.org/citations/26425554 | http://purl.uniprot.org/core/author | "Zhang Y."xsd:string |
| http://purl.uniprot.org/citations/26425554 | http://purl.uniprot.org/core/author | "Yu H."xsd:string |
| http://purl.uniprot.org/citations/26425554 | http://purl.uniprot.org/core/date | "2015"xsd:gYear |
| http://purl.uniprot.org/citations/26425554 | http://purl.uniprot.org/core/name | "Biomed Res Int"xsd:string |
| http://purl.uniprot.org/citations/26425554 | http://purl.uniprot.org/core/pages | "802153"xsd:string |
| http://purl.uniprot.org/citations/26425554 | http://purl.uniprot.org/core/title | "iTRAQ-Based Quantitative Proteomic Analysis Identified HSC71 as a Novel Serum Biomarker for Renal Cell Carcinoma."xsd:string |
| http://purl.uniprot.org/citations/26425554 | http://purl.uniprot.org/core/volume | "2015"xsd:string |
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