| Literature DB >> 20121140 |
Donald J Johann, Bih-Rong Wei, DaRue A Prieto, King C Chan, Xiaying Ye, Vladimir A Valera, R Mark Simpson, Paul A Rudnick, Zhen Xiao, Haleem J Issaq, W Marston Linehan, Stephen E Stein, Timothy D Veenstra, Josip Blonder.
Abstract
A method that relies on subtractive tissue-directed shot-gun proteomics to identify tumor proteins in the blood of a patient newly diagnosed with cancer is described. To avoid analytical and statistical biases caused by physiologic variability of protein expression in the human population, this method was applied on clinical specimens obtained from a single patient diagnosed with nonmetastatic renal cell carcinoma (RCC). The proteomes extracted from tumor, normal adjacent tissue and preoperative plasma were analyzed using 2D-liquid chromatography-mass spectrometry (LC-MS). The lists of identified proteins were filtered to discover proteins that (i) were found in the tumor but not normal tissue, (ii) were identified in matching plasma, and (iii) whose spectral count was higher in tumor tissue than plasma. These filtering criteria resulted in identification of eight tumor proteins in the blood. Subsequent Western-blot analysis confirmed the presence of cadherin-5, cadherin-11, DEAD-box protein-23, and pyruvate kinase in the blood of the patient in the study as well as in the blood of four other patients diagnosed with RCC. These results demonstrate the utility of a combined blood/tissue analysis strategy that permits the detection of tumor proteins in the blood of a patient diagnosed with RCC.Entities:
Mesh:
Substances:
Year: 2010 PMID: 20121140 PMCID: PMC3251958 DOI: 10.1021/ac902204k
Source DB: PubMed Journal: Anal Chem ISSN: 0003-2700 Impact factor: 6.986