Comparative proteomic profiling of pancreatic ductal adenocarcinoma cell lines.
Pancreatic cancer is one of the most fatal cancers and is associated with limited diagnostic and therapeutic modalities. Currently, gemcitabine is the only effective drug and represents the preferred first-line treatment for chemotherapy. However, a high level of intrinsic or acquired resistance of pancreatic cancer to gemcitabine can contribute to the failure of gemcitabine treatment. To investigate the underlying molecular mechanisms for gemcitabine resistance in pancreatic cancer, we performed label-free quantification of protein expression in intrinsic gemcitabine-resistant and - sensitive human pancreatic adenocarcinoma cell lines using our improved proteomic strategy, combined with filter-aided sample preparation, single-shot liquid chromatography-mass spectrometry, enhanced spectral counting, and a statistical method based on a power law global error model. We identified 1931 proteins and quantified 787 differentially expressed proteins in the BxPC3, PANC-1, and HPDE cell lines. Bioinformatics analysis identified 15 epithelial to mesenchymal transition (EMT) markers and 13 EMT-related proteins that were closely associated with drug resistance were differentially expressed. Interestingly, 8 of these proteins were involved in glutathione and cysteine/methionine metabolism. These results suggest that proteins related to the EMT and glutathione metabolism play important roles in the development of intrinsic gemcitabine resistance by pancreatic cancer cell lines.
['Kim|Yikwon|Y|', 'Han|Dohyun|D|', 'Min|Hophil|H|', 'Jin|Jonghwa|J|', 'Yi|Eugene C|EC|', 'Kim|Youngsoo|Y|']
D014408:Biomarkers, Tumor D021441:Carcinoma, Pancreatic Ductal D045744:Cell Line, Tumor D003841:Deoxycytidine D019008:Drug Resistance, Neoplasm D058750:Epithelial-Mesenchymal Transition D015972:Gene Expression Regulation, Neoplastic D005978:Glutathione D006801:Humans D013058:Mass Spectrometry D010190:Pancreatic Neoplasms D040901:Proteomics
pancreatic cancer gemcitabine LC-MS/MS chemoresistance quantitative Proteomics