Evidence map›Paper›PMID 39858588›Full record

ArticleGenes2025

Screening Methods to Discover the FDA-Approved Cancer Drug Encorafenib as Optimally Selective for Metallothionein Gene Loss Ovarian Cancer.

Amy Rees, Evan Villamor, Della Evans, Monika Gooz, Clare Fallon, Mirna Mina-Abouda, Andrew Disharoon, Scott T Eblen, Joe R Delaney

Abstract read
In one paragraph

Article in Genes, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

9 authors.

Amy ReesDepartment of Biochemistry and Molecular Biology, Medical University of South Carolina, Charleston, SC 29425, USA.
Evan VillamorDepartment of Biochemistry and Molecular Biology, Medical University of South Carolina, Charleston, SC 29425, USA.
Della EvansDepartment of Biochemistry and Molecular Biology, Medical University of South Carolina, Charleston, SC 29425, USA.
Monika GoozDepartment of Drug Discovery and Biomedical Sciences, Medical University of South Carolina, Charleston, SC 29425, USA.ORCID 0000-0001-6404-5070
Clare FallonDepartment of Biochemistry and Molecular Biology, Medical University of South Carolina, Charleston, SC 29425, USA.
Mirna Mina-AboudaDepartment of Biochemistry and Molecular Biology, Medical University of South Carolina, Charleston, SC 29425, USA.ORCID 0000-0002-8651-332X
Andrew DisharoonDepartment of Biochemistry and Molecular Biology, Medical University of South Carolina, Charleston, SC 29425, USA.
Scott T EblenDepartment of Pharmacology and Immunology, Medical University of South Carolina, Charleston, SC 29425, USA.
Joe R DelaneyDepartment of Biochemistry and Molecular Biology, Medical University of South Carolina, Charleston, SC 29425, USA.ORCID 0000-0002-8978-5961

Funding

South Carolina IDeA Networks of Biomedical Research (SC INBRE V)P20GM103499 · NIGMS · UNIVERSITY OF SOUTH CAROLINA AT COLUMBIA · PI EDIE C GOLDSMITH · 2012 to 2026
$61.0M
Translational Science Laboratory Shared ResourceP30CA138313 · NCI · MEDICAL UNIVERSITY OF SOUTH CAROLINA · PI Jian Ouyang · 2009 to 2026
$42.7M
MUSC Minority Student Development ProgramR25GM072643 · NIGMS · MEDICAL UNIVERSITY OF SOUTH CAROLINA · PI ERGUL, ADVIYE, RINKER, JENNIFER ANNE · 2005 to 2023
$5.8M
Tumor suppressor vulnerability conferred by aneuploid loss of haploinsufficient metallothionein genesDP2CA280626 · NCI · MEDICAL UNIVERSITY OF SOUTH CAROLINA · PI Joe R Delaney · 2022 to 2026
$2.3M
High-Content, High-Throughput Multi-Mode Imaging SystemS10OD028663 · OD · MEDICAL UNIVERSITY OF SOUTH CAROLINA · PI GOOZ, MONIKA · 2020 to 2020
$416k
Combination Of Autophagy Selective Therapeutics (COAST) in Serous Ovarian CancerR03CA256104 · NCI · MEDICAL UNIVERSITY OF SOUTH CAROLINA · PI DELANEY, JOE R · 2022 to 2023
$151k
NCI NIH HHS DP2 CA280626NCI NIH HHS P30 CA138313NCI NIH HHS R03 CA256104NIGMS NIH HHS P20 GM103499NIGMS NIH HHS R25 GM072643NIH HHS CA280626NIH HHS S10 OD028663
6 · The paper itself

Abstract

BACKGROUND/

objectivesAll 11 metallothionein protein-coding genes are located on human chromosome 16q13. It is unique among human genetics to have an entire pathway's genes clustered in a short chromosomal region. Since solid tumors, particularly high-grade serous ovarian cancer (HGSC), exhibit high rates of monoallelic aneuploidy, this region is commonly lost. Studies have not yet been performed to determine what vulnerability may be created in cancer cells with low metallothionein expression. Here, a screen of FDA-approved cancer small molecule drugs for those best targeting low metallothionein ovarian cancer was completed.

methodsScreening methods were tested and compared using vehicle-treated negative controls and cadmium chloride, a positive control for cell loss selective for low metallothionein cells. CAOV3 cells, which are unique in their expression of only two metallothionein isoforms, were used, with or without shRNA knockdown of the predominantly expressed

resultsThe optimal assay utilized Hoechst 33342 nuclear staining and mechanized fluorescent microscope counting of cell content. Encorafenib, an RAF inhibitor, was identified as the most selective for enhanced cytotoxicity in

conclusionsThe nuclear stain Hoechst 33342, assessed by fluorescence microscopy, provides a low variance, moderate throughput platform for cancer cell loss screens. Low metallothionein ovarian cancer cells exhibit a vulnerability to the RAF inhibitor encorafenib.

Indexed as

Antineoplastic AgentsMetallothioneinOvarian NeoplasmsSulfonamidesCell Line, TumorDrug Screening Assays, AntitumorFemaleGene Expression Regulation, NeoplasticHumansUnited StatesAntineoplastic AgentsMetallothioneinSulfonamidesaneuploidydrug screeninggenetic vulnerabilityoncologyovarian cancerRAF

Identifiers

PMID39858588
PMCPMC11764637

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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.