Label-free quantitative proteomic analysis reveals potential biomarkers and pathways in renal cell carcinoma

Tumor Biology ◽  
2014 ◽  
Vol 36 (2) ◽  
pp. 939-951 ◽  
Author(s):  
Zuohui Zhao ◽  
Fei Wu ◽  
Sentai Ding ◽  
Liang Sun ◽  
Zhao Liu ◽  
...  
Keyword(s):  
Renal Cell Carcinoma ◽  
Cell Carcinoma ◽  
Proteomic Analysis ◽  
Renal Cell ◽  
Label Free ◽  
Quantitative Proteomic Analysis ◽  
Potential Biomarkers

scholarly journals Quantitative proteomic analysis reveals potential diagnostic markers and pathways involved in pathogenesis of renal cell carcinoma

Oncotarget ◽  
2014 ◽  
Vol 5 (2) ◽  
pp. 506-518 ◽  
Author(s):  
Nicole M.A. White ◽  
Olena Masui ◽  
Leroi V. DeSouza ◽  
Olga Krakovska ◽  
Shereen Metias ◽  
...  
Keyword(s):  
Renal Cell Carcinoma ◽  
Cell Carcinoma ◽  
Proteomic Analysis ◽  
Renal Cell ◽  
Diagnostic Markers ◽  
Quantitative Proteomic Analysis

scholarly journals iTRAQ-Based Quantitative Proteomic Analysis Identified HSC71 as a Novel Serum Biomarker for Renal Cell Carcinoma

2015 ◽  
Vol 2015 ◽  
pp. 1-6 ◽  
Author(s):  
Yushi Zhang ◽  
Yi Cai ◽  
Hongyan Yu ◽  
Hanzhong Li
Keyword(s):  
Renal Cell Carcinoma ◽  
Cell Carcinoma ◽  
Proteomic Analysis ◽  
Renal Cell ◽  
Early Stage ◽  
Characteristic Curve ◽  
Serum Biomarker ◽  
Control Group ◽  
Serum Samples ◽  
Quantitative Proteomic Analysis

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.

Quantitative proteomic analysis to discover potential diagnostic markers and therapeutic targets in human renal cell carcinoma

PROTEOMICS ◽  
2008 ◽  
Vol 8 (15) ◽  
pp. 3194-3203 ◽  
Author(s):  
Noboru Okamura ◽  
Taro Masuda ◽  
Akinobu Gotoh ◽  
Toshiro Shirakawa ◽  
Shuji Terao ◽  
...  
Keyword(s):  
Renal Cell Carcinoma ◽  
Cell Carcinoma ◽  
Proteomic Analysis ◽  
Renal Cell ◽  
Therapeutic Targets ◽  
Diagnostic Markers ◽  
Human Renal Cell Carcinoma ◽  
Quantitative Proteomic Analysis

scholarly journals Comparative membrane proteomics: a technical advancement in the search of renal cell carcinoma biomarkers

2015 ◽  
Vol 11 (6) ◽  
pp. 1708-1716 ◽  
Author(s):  
Francesca Raimondo ◽  
Samuele Corbetta ◽  
Andrea Savoia ◽  
Clizia Chinello ◽  
Marta Cazzaniga ◽  
...  
Keyword(s):  
Renal Cell Carcinoma ◽  
Membrane Protein ◽  
Cell Carcinoma ◽  
Renal Cell ◽  
Protein Analysis ◽  
Comparative Proteomics ◽  
Label Free ◽  
Membrane Proteomics ◽  
Specific Protocol ◽  
Set Up

Set-up of a specific protocol for membrane protein analysis, applied to label free, comparative proteomics of renal cell carcinoma microdomains.

scholarly journals Identification of Proteins Differentially Expressed in the Conventional Renal Cell Carcinoma by Proteomic Analysis

2005 ◽  
Vol 20 (3) ◽  
pp. 450 ◽  
Author(s):  
Jeong Seok Hwa ◽  
Hyo Jin Park ◽  
Jae Hun Jung ◽  
Sung Chul Kam ◽  
Hyung Chul Park ◽  
...  
Keyword(s):  
Renal Cell Carcinoma ◽  
Cell Carcinoma ◽  
Proteomic Analysis ◽  
Renal Cell ◽  
Differentially Expressed ◽  
Conventional Renal Cell Carcinoma

Baseline perfusion CT parameters as potential biomarkers in predicting long-term prognosis of localized clear cell renal cell carcinoma

2019 ◽  
Vol 44 (10) ◽  
pp. 3370-3376 ◽  
Author(s):  
Yichen Wang ◽  
Liqiang Cui ◽  
Jin Zhang ◽  
Lianyu Zhang ◽  
Jie Zhang ◽  
...  
Keyword(s):  
Renal Cell Carcinoma ◽  
Cell Carcinoma ◽  
Renal Cell ◽  
Clear Cell ◽  
Perfusion Ct ◽  
Cell Renal Cell Carcinoma ◽  
Long Term Prognosis ◽  
Potential Biomarkers
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