ArticleSTAR protocols2020
High-throughput drug screening of fine-needle aspiration-derived cancer organoids.
Article in STAR protocols, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
What it found
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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.
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.
Who cites it
15 citing papers in PubMed, 17 citations in OpenAlex.
- Biomarker-guided responses in patient-derived organoids predict effective therapies in breast cancer.Cell reports. Medicine · 2026Trial
- Therapy-induced senescence rewires the melanoma secretome to promote antitumor immune response and augment cell therapies.Journal for immunotherapy of cancer · 2026Article
- Organoids, organ-on-a-chip, and microtumors: Biomimetic 3D tumor models advancing drug development and precision medicine.Acta pharmaceutica Sinica. B · 2026Review
- Patient-Derived Models of Liver Cancer to Inform Clinical Treatment Paradigms: Recent Updates.Seminars in liver disease · 2026Review
- Constructing an ultrasound-assisted organoid model for tumor management.Discover oncology · 2025Review
- Whole-process 3D ECM-encapsulated organoid-based automated high-throughput screening platform accelerates drug discovery for rare diseases.Life medicine · 2025Article
- Hypoxia and Multilineage Communication in 3D Organoids for Human Disease Modeling.Biomimetics (Basel, Switzerland) · 2025Review
- Organoids in cancer therapies: a comprehensive review.Frontiers in bioengineering and biotechnology · 2025Review
- Article
- Establishment of Primary Cell Cultures from Canine Oral Melanomas via Fine-Needle Aspiration: A Novel Tool for Tumorigenesis and Cancer Progression Studies.Animals : an open access journal from MDPI · 2024Article
- Ovarian Cancer Patient-Derived Organoid Models for Pre-Clinical Drug Testing.Journal of visualized experiments : JoVE · 2023Article
- Give Them Vasculature and Immune Cells: How to Fill the Gap of Organoids.Cells, tissues, organs · 2023Review
- Engineering functional 3-dimensional patient-derived endocrine organoids for broad multiplatform applications.Surgery · 2023Article
- BCL-xL inhibition potentiates cancer therapies by redirecting the outcome of p53 activation from senescence to apoptosis.Cell reports · 2022Article
- Context Matters-Why We Need to Change From a One Size Fits all Approach to Made-to-Measure Therapies for Individual Patients With Pancreatic Cancer.Frontiers in cell and developmental biology · 2021Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors at 4 institutions in 1 country.
Funding
Abstract
Generation of fine-needle aspiration (FNA)-derived cancer organoids has allowed us to develop a number of downstream applications. In this protocol, we start with organoids cultured in a semi-solid format. We dissociate organoids into single cells and then plate in a 384-well format for high-throughput drug screening. While this method must be fine-tuned for each individual organoid culture, it offers a format well suited for rapidly screening medium-sized drug/compound libraries (500-5,000 molecules) and generating dose-response curves to measure relative efficacy. For complete details on the use and execution of this protocol, please refer to Lee et al. (2020) and Vilgelm et al. (2020).
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What OpenQuestion holds
Registered trials
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.