Comparative Proteomics and Bioinformatics Analysis of Tissue from Non-Small Cell Lung Cancer Patients

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.

Cite this article as:

Gezici Sevgi, Ozaslan Mehmet, Akpinar Gurler, Kasap Murat, Sanli Maruf and Elbeyli Levent, Comparative Proteomics and Bioinformatics Analysis of Tissue from Non-Small Cell Lung Cancer Patients, Current Proteomics 2017; 14 (1) . https://dx.doi.org/10.2174/1570164614666161207144104