Application of two-dimensional difference gel electrophoresis to identify protein changes between center, margin, and adjacent non-tumor tissues obtained from non-small-cell lung cancer with adenocarcinoma or squamous cell carcinoma subtype.
Andrzej CiereszkoMariola Aleksandra DietrichMariola SłowińskaJoanna NyncaMichal CiborowskiMonika Marzena KaczmarekKamil MyszczyńskiJoanna KiślukAnna MajewskaAnna Michalska-FalkowskaNatalia KodzikJoanna ReszećEwa SierkoJacek NiklińskiPublished in: PloS one (2022)
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.
Keyphrases
- squamous cell carcinoma
- cell migration
- signaling pathway
- small cell lung cancer
- escherichia coli
- gene expression
- stem cells
- papillary thyroid
- mass spectrometry
- newly diagnosed
- machine learning
- pi k akt
- risk factors
- bone marrow
- endothelial cells
- young adults
- computed tomography
- end stage renal disease
- cardiovascular events
- lymph node metastasis
- single molecule
- small molecule
- wastewater treatment
- cystic fibrosis
- electronic health record
- chronic kidney disease
- induced apoptosis
- vascular endothelial growth factor
- radiation therapy
- childhood cancer
- molecular dynamics simulations
- wound healing
- pseudomonas aeruginosa
- data analysis
- tyrosine kinase
- squamous cell
- label free