4.6 Article

How do prolonged anchorage-free lifetimes strengthen non-small-cell lung cancer cells to evade anoikis? - A link with altered cellular metabolomics

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BIOLOGICAL RESEARCH
卷 56, 期 1, 页码 -

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SOC BIOLGIA CHILE
DOI: 10.1186/s40659-023-00456-z

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Non-small-cell lung cancer; Anchorage-independent growth; Anoikis; Anoikis resistance; Metastasis; Metabolomics

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This study found that prolonging the anchorage-free lifetime of non-small-cell lung cancer cells enhances their resistance to anoikis, promotes cell migration, and triggers metabolic reprogramming. Metabolomics analysis revealed significant changes in the levels of several metabolites associated with anoikis resistance. These findings provide insights into the mechanisms of anoikis resistance in lung cancer cells and offer potential biomarkers for early diagnosis.
BackgroundMalignant cells adopt anoikis resistance to survive anchorage-free stresses and initiate cancer metastasis. It is still unknown how varying periods of anchorage loss contribute to anoikis resistance, cell migration, and metabolic reprogramming of cancerous cells.ResultsOur study demonstrated that prolonging the anchorage-free lifetime of non-small-cell lung cancer NCI-H460 cells for 7 days strengthened anoikis resistance, as shown by higher half-life and capability to survive and grow without anchorage, compared to wild-type cells or those losing anchorage for 3 days. While the prolonged anchorage-free lifetime was responsible for the increased aggressive feature of survival cells to perform rapid 3-dimensional migration during the first 3 h of a transwell assay, no significant influence was observed with 2-dimensional surface migration detected at 12 and 24 h by a wound-healing method. Metabolomics analysis revealed significant alteration in the intracellular levels of six (oxalic acid, cholesterol, 1-ethylpyrrolidine, 1-(3-methylbutyl)-2,3,4,6-tetramethylbenzene, & beta;-alanine, and putrescine) among all 37 identified metabolites during 7 days without anchorage. Based on significance values, enrichment ratios, and impact scores of all metabolites and their associated pathways, three principal metabolic activities (non-standard amino acid metabolism, cell membrane biosynthesis, and oxidative stress response) offered potential links with anoikis resistance.ConclusionsThese findings further our insights into the evolution of anoikis resistance in lung cancer cells and identify promising biomarkers for early lung cancer diagnosis.

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