Quantitative proteomics analysis of mitochondrial proteins in lung adenocarcinomas and normal lung tissue using iTRAQ and tandem mass spectrometry

摘要

Lung adenocarcinoma is the most common type of lung cancer. Unfortunately, lung adenocarcinoma has a poor prognosis and the pathogenesis remains unclear. Mitochondria are important mediators of tumorigenesis. However, the proteomics profile of lung adenocarcinoma mitochondrial proteins has not been elucidated. In this study, we investigated differences in the mitochondrial protein profiles between lung adenocarcinomas and normal tissue. Laser capture microdissection (LCM) was used to isolate the target cells from lung adenocarcinomas and normal tissue. The differential expression of mitochondrial proteins was determined using isobaric tags for relative and absolute quantitation (iTRAQ) combined with two-dimensional liquid chromatography-tandem mass spectrometry (2D-LC-MS/MS). Bioinformatics analysis was performed using Gene Ontology and KEGG databases. As a result, 510 differentially expressed proteins were identified, 315 of which were upregulated and 195 that were downregulated. Of these proteins, 35.5% were mitochondrial or mitochondrial-related and were involved in binding, catalysis, molecular transduction, transport, and molecular structure. Based on the differentially expressed proteins, 63 pathways were significantly enriched through KEGG. The overexpression and cellular distribution of the mitochondrial protein C1QBP in the lung cancer samples was confirmed and verified by Western blotting. The relationship between C1QBP expression and clinicopathological features in lung cancer patients was likewise evaluated using immunohistochemistry, which revealed that the upregulation of C1QBP was associated with lymph node metastasis, pathological grade and clinical stage of TNM. The results indicate that the iTRAQ 2D-LC-MS/MS technique is a potential method for comparing mitochondrial protein profiles between tumor and normal tissue and could aid in identifying novel biomarkers and the mechanisms underlying carcinogenesis.