Title:Comparative Proteomics and Bioinformatics Analysis of Tissue from Non-Small Cell Lung Cancer Patients
Volume: 14
Issue: 1
Author(s): Sevgi Gezici, Mehmet Ozaslan, Gurler Akpinar, Murat Kasap, Maruf Sanli and Levent Elbeyli
Affiliation:
Keywords:
2DE, bioinformatics, comparative proteomics, mass spectrometry, non-small cell lung cancer.
Abstract: Background: Lung cancer is one of the most common causes of cancer-related mortality,
and its incidence is increasing steadily worldwide. NSCLC represents approximately 83% of lung
cancer cases, including different subtypes, among clinically histological lung cancer types.
Materials and Methods: In this study, we aimed to identify proteome level differences between
NSCLC tumor and tumor-adjacent non-tumor tissue samples using gel-based comparative proteomics.
Additionally, proteins were classified using PANTHER, protein-protein interactions were mapped by
STRING, and also, the top canonical pathway was identified using IPA network system. Western
blot was used for validation the proteomics findings.
Results: A total of 40 protein spots were successfully identified by MALDI-TOF/TOF, and 33 proteins
were found differentially expressed, of which 27 proteins were up-regulated, whereas, 6 proteins
were down-regulated in NSCLC tumor tissues.
Conclusion: These findings show that proteome level differences between NSCLC tumor and nontumor
tissue samples.
