Protocol for 3D screening of lung cancer spheroids using natural products

• DOI: 10.1016/j.slasd.2023.01.005
• Publication Date: 2023-01-18T21:10:38Z
• Authors: Virneliz Fernánde...; Dong Yang; Luis Ortiz Jordán; Fei Ye; Louis Conway; Li Yun Chen; Justin Shumate; Pierre Baillargeon; Louis Scampavia; Christopher Parker; Ben Shen; Timothy P. Spicer
• Keywords: 3D cell culture

Non-small cell lung cancer (NSCLC) is the most common type of and accounts for ∼84% all cases. NSCLC remains one leading causes cancer-associated death, with a 5-year survival rate less than 25%. This begins healthy cells that change start growing out control, to formation lesions or tumors. Understanding dynamics how tumor microenvironment promotes initiation progression leads metastasis crucial help identify new molecular therapies. 3D primary models have received renewed recognition due their ability better mimic complexity in vivo tumors as potential bridge between traditional 2D culture studies. Vast improvements technologies make them much more cost effective efficient largely because use cell-repellent surfaces novel angle plate adaptor technology. To exploit this technology, we accessed Natural Products Library (NPL) at UF Scripps, which consists crude extracts, partially purified fractions, pure natural products (NPs). NPs generally are not very well represented drug discovery libraries thus provide insights discover could potentially emerge Herein describe combined these screening 1536 format using panel ten lines (5 wild 5 mutant) against ∼1280 selected members NPL. After further evaluation, active hits were prioritized be screened 10 concentration response curves determine efficacy selectivity compounds mutant models. Here, demonstrate methods needed automated microbial NPs, exemplified by may lead future targeting human cancer.