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Multidimensional Coculture System to Model Lung Squamous Carcinoma Progression
Published on: March 17, 2020
Defining Metabolic Rewiring in Lung Squamous Cell Carcinoma
Rachel Paes de Araújo1, Natália Bertoni2,3, Ana L Seneda4,5
1Aberystwyth University, Institute of Biological, Environmental and Rural Sciences (IBERS), Ceredigion SY23 3DA, UK. rap23@aber.ac.uk.
Untargeted metabolomics revealed significant metabolic alterations in lung squamous cell carcinoma (SCC). Key findings include suppressed oxidative pathways and altered energy metabolism, offering potential for clinical screening.
Area of Science:
- Biochemistry
- Oncology
- Metabolomics
Background:
- Lung Squamous Cell Carcinoma (SCC) is a major subtype of Non-Small Cell Lung Cancers (NSCLCs) with poor prognosis.
- Metabolomics offers a snapshot of cellular metabolism, crucial for understanding cancer progression.
Purpose of the Study:
- To investigate metabolic rewiring in lung SCC using untargeted metabolomics.
- To identify novel metabolic biomarkers for SCC diagnosis and prognosis.
Main Methods:
- Untargeted flow infusion electrospray ionization high-resolution mass spectrometry (FIE-HRMS) was employed for metabolite profiling.
- Statistical analyses including t-tests and principal component analysis (PCA) were performed.
- Pathway analysis utilized the mummichog algorithm and Metabolite Set Enrichment Analysis (MSEA).
Main Results:
- Identified metabolic rewiring networks, including suppressed oxidative pentose pathway.
- Observed decoupling of the tricarboxylic acid (TCA) cycle from glycolysis and glutamine reductive carboxylation.
- Detected novel alterations in SCC, such as increased Vitamin B cofactors, serotonin, and reduced gamma-aminobutyric acid (GABA).
Conclusions:
- FIE-HRMS is a valuable high-throughput screening tool for lung SCC metabolomics.
- Metabolic alterations in SCC involve significant rewiring of central carbon metabolism.
- Findings highlight potential for FIE-HRMS in clinical applications for lung cancer detection.
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