ArticleSLAS discovery : advancing life sciences R & D2017
A High-Throughput Screening Model of the Tumor Microenvironment for Ovarian Cancer Cell Growth.
Article in SLAS discovery : advancing life sciences R & D, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.
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.
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
22 citing papers in PubMed.
- A novel ex vivo platform for functional evaluation of treatment responses in metastatic ovarian cancer.NPJ precision oncology · 2026Article
- Engineering immune-competent niches: strategies, applications, and translational hurdles in ovarian cancer organoid models.Frontiers in immunology · 2026Review
- Navitoclax, a Bcl-2/xL Inhibitor, and YM155, a Survivin Inhibitor, in Combination with Carboplatin, Effectively Inhibit Ovarian Cancer Tumor Growth.Molecular cancer therapeutics · 2025Article
- Review
- In Vitro Models of Ovarian Cancer: Bridging the Gap between Pathophysiology and Mechanistic Models.Biomolecules · 2023Review
- Identification of the polyether ionophore lenoremycin through a new screening strategy for targeting cancer stem cells.The Journal of antibiotics · 2022Article
- Review
- Pooled shRNA Library Screening to Identify Factors that Modulate a Drug Resistance Phenotype.Journal of visualized experiments : JoVE · 2022Article
- Three-Dimensional Modelling of Ovarian Cancer: From Cell Lines to Organoids for Discovery and Personalized Medicine.Frontiers in bioengineering and biotechnology · 2022Review
- NovelFrontiers in oncology · 2022Review
- Modeling the Early Steps of Ovarian Cancer Dissemination in an Organotypic Culture of the Human Peritoneal Cavity.Advances in experimental medicine and biology · 2021Review
- Recapitulating TumorigenesisFrontiers in bioengineering and biotechnology · 2021Review
- Three dimensional engineered models to study hypoxia biology in breast cancer.Cancer letters · 2020Review
- Trends in Bone Metastasis Modeling.Cancers · 2020Review
- Time-lapse imaging of HeLa spheroids in soft agar culture provides virtual inner proliferative activity.PloS one · 2020Article
- Quantitative High-Throughput Screening Using an Organotypic Model Identifies Compounds that Inhibit Ovarian Cancer Metastasis.Molecular cancer therapeutics · 2020Article
- An omentum-inspired 3D PEG hydrogel for identifying ECM-drivers of drug resistant ovarian cancer.APL bioengineering · 2019Article
- Inhibition of fascin in cancer and stromal cells blocks ovarian cancer metastasis.Gynecologic oncology · 2019Article
- A Dynamic Culture Method to Produce Ovarian Cancer Spheroids under Physiologically-Relevant Shear Stress.Cells · 2018Article
- Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
Abstract
The tumor microenvironment plays an important role in the processes of tumor growth, metastasis, and drug resistance. We have used a multilayered 3D primary cell culture model that reproduces the human ovarian cancer metastatic microenvironment to study the effect of the microenvironment on the pharmacological responses of different classes of drugs on cancer cell proliferation. A collection of oncology drugs was screened to identify compounds that inhibited the proliferation of ovarian cancer cells growing as monolayers or forming spheroids, on plastic and on a 3D microenvironment culture model of the omentum metastatic site, and also cells already in preformed spheroids. Target-based analysis of the pharmacological responses revealed that several classes of targets were more efficacious in cancer cells growing in the absence of the metastatic microenvironment, and other target classes were less efficacious in cancer cells in preformed spheres compared to forming spheroid cultures. These findings show that both the cellular context of the tumor microenvironment and cell adhesion mode have an essential role in cancer cell drug resistance. Therefore, it is important to perform screens for new drugs using model systems that more faithfully recapitulate the tissue composition at the site of tumor growth and metastasis.
Indexed as
Identifiers
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.