Abstract
Lung cancer is responsible for the most cancer-related mortality worldwide and the mechanism of its development is poorly understood. Proteomics has become a powerful tool offering vital knowledge related to cancer development. Using a two-dimensional difference gel electrophoresis (2D-DIGE) approach, we sought to compare tissue samples from non-small-cell lung cancer (NSCLC) patients taken from the tumor center and tumor margin. Two subtypes of NSCLC, adenocarcinoma (ADC) and squamous cell carcinoma (SCC) were compared. Data are available via ProteomeXchange with identifier PXD032736 and PXD032962 for ADC and SCC, respectively. For ADC proteins, 26 significant canonical pathways were identified, including Rho signaling pathways, a semaphorin neuronal repulsive signaling pathway, and epithelial adherens junction signaling. For SCC proteins, nine significant canonical pathways were identified, including hypoxia-inducible factor-1α signaling, thyroid hormone biosynthesis, and phagosome maturation. Proteins differentiating the tumor center and tumor margin were linked to cancer invasion and progression, including cell migration, adhesion and invasion, cytoskeletal structure, protein folding, anaerobic metabolism, tumor angiogenesis, EMC transition, epithelial adherens junctions, and inflammatory responses. In conclusion, we identified several proteins that are important for the better characterization of tumor development and molecular specificity of both lung cancer subtypes. We also identified proteins that may be important as biomarkers and/or targets for anticancer therapy.
Funder
Narodowe Centrum Badań i Rozwoju
Publisher
Public Library of Science (PLoS)
Reference208 articles.
1. Lung cancer biomarkers;I Hoseok;Adv Clin Chem,2015
2. Molecular signature and pathway analysis of human primary squamous and adenocarcinoma lung cancers;N Daraselia;Am J Cancer Res,2012
3. Systematic biobanking, novel imaging techniques, and advanced molecular analysis for precise tumor diagnosis and therapy: The Polish MOBIT project;J Niklinski;Adv Med Sci,2017
4. Serum biomarker profiles as diagnostic tools in lung cancer;BM Nolen;Canc Biomark,2011
5. Analysis and identification of tumor marker in lung cancer using two-dimensional gel electrophoresis and matrix-assisted laser desorption ionization time of flight mass spectrometry;H Zhang;Life Sci J,2009
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