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

[ Vol. 14 , Issue. 1 ]

Author(s):

Sevgi Gezici, Mehmet Ozaslan, Gurler Akpinar, Murat Kasap, Maruf Sanli and Levent Elbeyli   Pages 58 - 77 ( 20 )

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.

Keywords:

2DE, bioinformatics, comparative proteomics, mass spectrometry, non-small cell lung cancer.

Affiliation:

Department of Biology, Faculty of Art and Science, University of Gaziantep, 27310 Gaziantep

Graphical Abstract:



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