Stage-Related Alterations in Renal Cell Carcinoma – Comprehensive Quantitative Analysis by 2D-DIGE and Protein Network Analysis

摘要: Renal cell carcinoma accounts for about 3% of adult malignancies and 85% neoplasms arising from the kidney. To identify potential progression markers kidney cancer we examined non-neoplastic neoplastic tissue three groups patients, which represent different tumor stages (pT1, pT2, pT3) by a fluorescence two-dimensional difference gel electrophoresis (2D-DIGE) approach combined with MALDI-ToF-MS/MS. Delta2D software package was used image based quantification statistical analysis. Thereby, comprehensive Principal Component Analysis (PCA) could be performed allowed robust quality control experiment as well classification analyzed samples, correlated predicted pathological examination. Additionally selected candidate proteins detected correlation to grading revealed immunohistochemistry. On 2D protein map 176 spots out 989 were at least 2-fold differentially expressed. These MALDI-ToF-MS/MS 187 identified. The functional clustering identified ten groups. Within these found 86 enzymes, 63 unknown function, 14 transporter, 8 peptidases 7 kinases. From systems biology many in major pathways involved remodelling cytoskeleton, mitochondrial dysfunctions changes lipid metabolism. Due complexity highly interconnected pathway network, further expression validation might provide new insights design novel diagnostic therapeutic strategies.