Evidence map›Paper›PMID 40459063›Full record

ArticleCancer research communications2025

High-Throughput Drug Screening of Clear Cell Ovarian Cancer Organoids Reveals Vulnerability to Proteasome Inhibitors and Dinaciclib and Identifies AGR2 as a Therapeutic Target.

Takuma Yoshimura, Takashi Kamatani, Aki Ookubo, Mio Takahashi, Manabu Itoh, Toshiki Ebisudani, Yohei Masugi, Tomomi Toyonaga, Junko Hamamoto, Keiko Saotome and 11 more

Abstract read
In one paragraph

Article in Cancer research communications, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

21 authors.

Takuma Yoshimura *Department of Obstetrics and Gynecology, Keio University School of Medicine, Tokyo, Japan.ORCID 0000-0001-9919-1692
Takashi Kamatani *Laboratory for Medical Science Mathematics, Department of Biological Sciences, School of Science, The University of Tokyo, Tokyo, Japan.ORCID 0000-0001-7164-0513
Aki OokuboJSR-Keio University Medical and Chemical Innovation Center (JKiC), Tokyo, Japan.ORCID 0009-0006-9403-2143
Mio TakahashiDepartment of Obstetrics and Gynecology, Keio University School of Medicine, Tokyo, Japan.ORCID 0000-0002-9323-6121
Manabu ItohJSR-Keio University Medical and Chemical Innovation Center (JKiC), Tokyo, Japan.ORCID 0009-0001-9190-1757
Toshiki EbisudaniDivision of Pulmonary Medicine, Department of Medicine, Keio University School of Medicine, Tokyo, Japan.ORCID 0009-0007-2955-6925
Yohei MasugiDepartment of Pathology, Keio University School of Medicine, Tokyo, Japan.ORCID 0000-0002-6952-4043
Tomomi ToyonagaDepartment of Obstetrics and Gynecology, Keio University School of Medicine, Tokyo, Japan.ORCID 0009-0007-8944-8846
Junko HamamotoDivision of Pulmonary Medicine, Department of Medicine, Keio University School of Medicine, Tokyo, Japan.ORCID 0000-0002-8054-0124
Keiko SaotomeDepartment of Obstetrics and Gynecology, Keio University School of Medicine, Tokyo, Japan.ORCID 0000-0002-5619-5148
Kensuke SakaiDepartment of Obstetrics and Gynecology, Keio University School of Medicine, Tokyo, Japan.ORCID 0000-0002-1406-086X
Tomoko YoshihamaDepartment of Obstetrics and Gynecology, Keio University School of Medicine, Tokyo, Japan.ORCID 0000-0003-4466-0820
Nobuko MoritokiElectron Microscope Laboratory, Keio University School of Medicine, Tokyo, Japan.ORCID 0009-0009-8585-3072
Shinsuke ShibataElectron Microscope Laboratory, Keio University School of Medicine, Tokyo, Japan.ORCID 0000-0002-1185-9043
Hiroyuki YasudaDivision of Pulmonary Medicine, Department of Medicine, Keio University School of Medicine, Tokyo, Japan.ORCID 0000-0001-9966-8569
Toshiro SatoDepartment of Integrated Medicine and Biochemistry, Keio University School of Medicine, Tokyo, Japan.ORCID 0000-0001-8353-8137
Taka-Aki SatoResearch and Development Center for Precision Medicine, University of Tsukuba, Ibaraki, Japan.ORCID 0009-0005-3940-3979
Daisuke AokiDepartment of Obstetrics and Gynecology, Keio University School of Medicine, Tokyo, Japan.ORCID 0000-0002-9596-8326
Wataru YamagamiDepartment of Obstetrics and Gynecology, Keio University School of Medicine, Tokyo, Japan.ORCID 0000-0003-3925-6057
Tatsuhiko TsunodaLaboratory for Medical Science Mathematics, Department of Biological Sciences, School of Science, The University of Tokyo, Tokyo, Japan.ORCID 0000-0002-5439-7918
Tatsuyuki ChiyodaDepartment of Obstetrics and Gynecology, Keio University School of Medicine, Tokyo, Japan.ORCID 0000-0002-8214-2242

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

There are currently no effective treatments available for clear cell ovarian cancer (CCC). In this study, we aimed to identify effective drugs for CCC through high-throughput drug screening (HTDS) using ovarian cancer organoids and determine novel therapeutic targets based on the biological characteristics of CCC through omics analysis. An ovarian cancer organoid biobank was established, and HTDS was conducted using CCC organoids based on libraries of 361 and 4,560 compounds. The efficacy of the identified drugs was verified in in vitro and in vivo experiments using a patient-derived organoid xenograft mouse model. Transcriptome analysis was performed to identify genes related to the pathways targeted by the identified drugs in CCC and to assess their potential as therapeutic targets. Proteasome inhibitors and dinaciclib were extracted using HTDS and shown to inhibit tumorigenesis in vitro and in vivo. CCC, like multiple myeloma, exhibited activated endoplasmic reticulum (ER) stress and unfolded protein response (UPR), and treatment with proteasome inhibitors further enhanced ER stress and UPR, ultimately leading to cell death. Transcriptome analysis identified anterior gradient-2 (AGR2) as a key gene involved in UPR in CCC. CRISPR knockout of AGR2 suppressed cell proliferation, increased sensitivity to proteasome inhibitors, and reversed platinum resistance in CCC. AGR2 knockout also upregulated Schlafen 11, contributing to platinum sensitivity. ER stress and the UPR are activated in CCC, and proteasome inhibitors disrupt this balance, ultimately leading to cell death. AGR2 may serve as a potential therapeutic target in CCC. SIGNIFICANCE: Proteasome inhibitors and dinaciclib are identified as effective drugs for CCC. CCC has a high basal UPR, and proteasome inhibition may disrupt this balance. AGR2 is involved in the UPR of CCC, and inhibiting AGR2 further enhances the UPR and confers platinum sensitivity, making it a potential therapeutic target.

Indexed as

Adenocarcinoma, Clear CellBridged Bicyclo Compounds, HeterocyclicCyclic N-OxidesIndolizinesMucoproteinsOrganoidsOvarian NeoplasmsProteasome InhibitorsPyridinium CompoundsAnimalsCell Line, TumorDrug Screening Assays, AntitumorEndoplasmic Reticulum StressFemaleHigh-Throughput Screening AssaysHumansBridged Bicyclo Compounds, HeterocyclicCyclic N-OxidesdinaciclibIndolizinesMucoproteinsOncogene ProteinsProteasome InhibitorsPyridinium Compounds

Identifiers

PMID40459063
PMCPMC12188421

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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 Socratic graph.