ArticleMolecular cancer therapeutics2011
Dual-fluorescence isogenic high-content screening for MUC16/CA125 selective agents.
Article in Molecular cancer therapeutics, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 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
6 citing papers in PubMed, 12 citations in OpenAlex.
- Novel anti-Mullerian hormone receptor 2 binding peptide prevents chemotherapy-related ovarian follicle loss in a mouse model.Journal of assisted reproduction and genetics · 2026Article
- Structural basis for antibody recognition of the proximal MUC16 ectodomain.Journal of ovarian research · 2024Article
- Dual Fluorescence Isogenic Synthetic Lethal Kinase Screen and High-Content Secondary Screening for MUC16/CA125-Selective Agents.Molecular cancer therapeutics · 2022Article
- Tox_(R)CNN: Deep learning-based nuclei profiling tool for drug toxicity screening.PLoS computational biology · 2018Article
- Expression of the Carboxy-Terminal Portion of MUC16/CA125 Induces Transformation and Tumor Invasion.PloS one · 2015Article
- Increasing the Content of High-Content Screening: An Overview.Journal of biomolecular screening · 2014Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors at 2 institutions in 1 country.
Funding
Abstract
Most of the currently used cancer chemotherapies are based on compounds that inhibit general cellular mechanisms, such as DNA replication or tubulin function, and lack specificity in relation to features of the cancer cell. Recent advances in genomic studies have increased our knowledge of tumor cell biology, and a panoply of new targets have been postulated. This has provided an opportunity to develop and validate drugs that specifically target cancer cells through their unique genetic characteristics. Identification of MUC16/CA125 both as a marker and a driver of transformation led us to design a target-based high-content screen to identify and classify compounds that exhibit differential effect on MUC16-expressing cells. We developed a coculture assay in 384-well plate containing isogenic ovarian cancer cells that are positive or negative for the MUC16 protein. High-throughput screening of our small molecule pilot library led to the identification of compounds preferentially cytotoxic to MUC16(+) or MUC16(-) cells, using a Preferential Score analysis. We compared screening results in both A2780 and SK-OV-3 ovarian cancer cells in single and coculture settings. We also identified compounds that were cytotoxic for both types of ovarian cancer cells regardless of the MUC16 status. Compounds that were preferentially targeting MUC16 cells were subsequently confirmed by caspase-induction assays. The isogenic, dual-color fluorescence strategy is an innovative approach that can effectively identify novel drug candidates, selectively targeting cancer cells that have unique molecular properties.
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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.