ArticleSLAS discovery : advancing life sciences R & D2023
Protocol for 3D screening of lung cancer spheroids using natural products.
Article in SLAS discovery : advancing life sciences R & D, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed.
- Big Data and Artificial Intelligence in Cancer Drug Discovery: Promise, Challenges, and Emerging Opportunities.Cancers · 2026Review
- Advantages and research progress of three-dimensional culture systems for lung cancer drug screening (Review).Oncology letters · 2026Review
- TRIM47: molecular characteristics, disease-related mechanisms, and clinical translational value.Frontiers in immunology · 2026Review
- Respiratory microphysiological system in respiratory research: recent advances and future prospects.Respiratory research · 2025Review
- Three-Dimensional Culture Systems in Neuroblastoma Research.Organoids · 2025Article
- PTK2 is a potential biomarker and therapeutic target for EGFR- or TLRs-induced lung cancer progression via the regulation of the cross-talk between EGFR- and TLRs-mediated signals.Biomarker research · 2024Article
- Protocol for high throughput 3D drug screening of patient derived melanoma and renal cell carcinoma.SLAS discovery : advancing life sciences R & D · 2024Article
- 3D cell culture models in research: applications to lung cancer pharmacology.Frontiers in pharmacology · 2024Review
- Multimodal Treatment of a Peripheral Primitive Neuroectodermal Tumor Originating From the Thoracic Cavity in a Dog.Journal of veterinary internal medicineArticle
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Authors and funding
12 authors.
Funding
Abstract
Non-small cell lung cancer (NSCLC) is the most common type of lung cancer and accounts for ∼84% of all lung cancer cases. NSCLC remains one of the leading causes of cancer-associated death, with a 5-year survival rate less than 25%. This type of cancer begins with healthy cells that change and start growing out of control, leading to the formation of lesions or tumors. Understanding the dynamics of how the tumor microenvironment promotes cancer initiation and progression that leads to cancer metastasis is crucial to help identify new molecular therapies. 3D primary cell tumor models have received renewed recognition due to their ability to better mimic the complexity of in vivo tumors and as a potential bridge between traditional 2D culture and in vivo studies. Vast improvements in 3D cell culture technologies make them much more cost effective and efficient largely because of the use of a cell-repellent surfaces and a novel angle plate adaptor technology. To exploit this technology, we accessed the Natural Products Library (NPL) at UF Scripps, which consists of crude extracts, partially purified fractions, and pure natural products (NPs). NPs generally are not very well represented in most drug discovery libraries and thus provide new insights to discover leads that could potentially emerge as novel molecular therapies. Herein we describe how we combined these technologies for 3D screening in 1536 well format using a panel of ten NSCLC cells lines (5 wild type and 5 mutant) against ∼1280 selected members of the NPL. After further evaluation, the selected active hits were prioritized to be screened against all 10 NSCLC cell lines as concentration response curves to determine the efficacy and selectivity of the compounds between wild type and mutant 3D cell models. Here, we demonstrate the methods needed for automated 3D screening using microbial NPs, exemplified by crude extracts, partially purified fractions, and pure NPs, that may lead to future use targeting human cancer.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.