Evidence map›Paper›PMID 36681384›Full record

ArticleSLAS discovery : advancing life sciences R & D2023

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

Virneliz Fernández Vega, Dong Yang, Luis Ortiz Jordán, Fei Ye, Louis Conway, Li Yun Chen, Justin Shumate, Pierre Baillargeon, Louis Scampavia, Christopher Parker and 2 more

Abstract read
In one paragraph

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.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

9 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

12 authors.

Virneliz Fernández VegaMolecular Screening Center, Department of Molecular Medicine, UF Scripps Biomedical Research, Jupiter, FL, USA.
Dong YangDepartment of Chemistry, UF Scripps Biomedical Research, Jupiter, FL, USA; Natural Products Discovery Center, UF Scripps Biomedical Research, Jupiter, FL, USA.
Luis Ortiz JordánMolecular Screening Center, Department of Molecular Medicine, UF Scripps Biomedical Research, Jupiter, FL, USA.
Fei YeDepartment of Chemistry, UF Scripps Biomedical Research, Jupiter, FL, USA.
Louis ConwayDepartment of Chemistry, The Scripps Research Institute, La Jolla, CA, USA.
Li Yun ChenDepartment of Chemistry, UF Scripps Biomedical Research, Jupiter, FL, USA.
Justin ShumateMolecular Screening Center, Department of Molecular Medicine, UF Scripps Biomedical Research, Jupiter, FL, USA.
Pierre BaillargeonMolecular Screening Center, Department of Molecular Medicine, UF Scripps Biomedical Research, Jupiter, FL, USA.
Louis ScampaviaMolecular Screening Center, Department of Molecular Medicine, UF Scripps Biomedical Research, Jupiter, FL, USA.
Christopher ParkerDepartment of Chemistry, The Scripps Research Institute, La Jolla, CA, USA.
Ben ShenDepartment of Chemistry, UF Scripps Biomedical Research, Jupiter, FL, USA; Natural Products Discovery Center, UF Scripps Biomedical Research, Jupiter, FL, USA.
Timothy P SpicerMolecular Screening Center, Department of Molecular Medicine, UF Scripps Biomedical Research, Jupiter, FL, USA. Electronic address: spicert@ufl.edu.

Funding

Mining Actinomycetal Genomes for Natural Product Discovery and BiosynthesisR35GM134954 · NIGMS · UNIVERSITY OF FLORIDA · PI Ben Shen · 2020 to 2026
$5.1M
Advanced Development and Validation of 3 Dimensional Spheroid Culture of Primary Cancer Cells using Nano3D TechnologyR33CA206949 · NCI · SCRIPPS FLORIDA · PI SPICER, TIMOTHY PATRICK · 2016 to 2019
$1.6M
Integrated Acoustic Transfer System for HTS Library ManagementS10OD025279 · OD · SCRIPPS FLORIDA · PI SCAMPAVIA, LOUIS DANIEL · 2018 to 2018
$624k
Tandem Multi-modal Plate Readers for a High Throughput Screening platformS10OD030330 · OD · UNIVERSITY OF FLORIDA · PI SCAMPAVIA, LOUIS DANIEL · 2021 to 2021
$600k
HTS Drug  Discovery DispensersS10OD026857 · OD · SCRIPPS FLORIDA · PI SCAMPAVIA, LOUIS DANIEL · 2019 to 2019
$452k
NCI NIH HHS R33 CA206949NIGMS NIH HHS R35 GM134954NIH HHS S10 OD025279NIH HHS S10 OD026857NIH HHS S10 OD030330
6 · The paper itself

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.

Indexed as

Antineoplastic AgentsBiological ProductsCarcinoma, Non-Small-Cell LungLung NeoplasmsDrug Screening Assays, AntitumorEarly Detection of CancerHumansSpheroids, CellularTumor MicroenvironmentAntineoplastic AgentsBiological ProductsAngle adaptorHTSMagnetic bioprintingNon-small lung cancerOrganoidPhenotypic

Identifiers

PMID36681384
PMCPMC10291515

What OpenQuestion holds

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Registered trials

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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.