Evidence mapPaperPMID 41986648Full record

ArticleScientific reports2026

SETD8 promotes ovarian clear cell carcinoma by epigenetically activating RNA metabolism genes via H4K20me1.

Eri Suzuki-Ariyoshi, Syuzo Kaneko, Kenbun Sone, Noriko Ikawa, Ryuta Hachijo, Yuri Jonouchi, Natsumi Tsuboyama, Ayumi Taguchi, Ken Asada, Masaaki Komatsu and 5 more

Abstract read
In one paragraph

Article in Scientific reports, 2026. 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

15 authors.

Eri Suzuki-Ariyoshi *Department of Obstetrics and Gynecology, Graduate School of Medicine, The University of Tokyo, Tokyo, 113-8655, Japan.
Syuzo Kaneko *Division of Medical AI Research and Development, National Cancer Center Research Institute, 5-1-1 Tsukiji, Chuo-ku, Tokyo, 104-0045, Japan. sykaneko@ncc.go.jp.
Kenbun SoneDepartment of Obstetrics and Gynecology, Graduate School of Medicine, The University of Tokyo, Tokyo, 113-8655, Japan. ksone5274@gmail.com.
Noriko IkawaDivision of Medical AI Research and Development, National Cancer Center Research Institute, 5-1-1 Tsukiji, Chuo-ku, Tokyo, 104-0045, Japan.
Ryuta HachijoDepartment of Obstetrics and Gynecology, Graduate School of Medicine, The University of Tokyo, Tokyo, 113-8655, Japan.
Yuri JonouchiDepartment of Obstetrics and Gynecology, Graduate School of Medicine, The University of Tokyo, Tokyo, 113-8655, Japan.
Natsumi TsuboyamaDepartment of Obstetrics and Gynecology, Graduate School of Medicine, The University of Tokyo, Tokyo, 113-8655, Japan.
Ayumi TaguchiDepartment of Obstetrics and Gynecology, Graduate School of Medicine, The University of Tokyo, Tokyo, 113-8655, Japan.
Ken AsadaDivision of Medical AI Research and Development, National Cancer Center Research Institute, 5-1-1 Tsukiji, Chuo-ku, Tokyo, 104-0045, Japan.
Masaaki KomatsuDivision of Medical AI Research and Development, National Cancer Center Research Institute, 5-1-1 Tsukiji, Chuo-ku, Tokyo, 104-0045, Japan.
Takayuki IriyamaDepartment of Obstetrics and Gynecology, Graduate School of Medicine, The University of Tokyo, Tokyo, 113-8655, Japan.
Katsutoshi OdaDivision of Integrative Genomics, Graduate School of Medicine, The University of Tokyo, Tokyo, 113-8655, Japan.
Yutaka OsugaDepartment of Obstetrics and Gynecology, Graduate School of Medicine, The University of Tokyo, Tokyo, 113-8655, Japan.
Yasushi HirotaDepartment of Obstetrics and Gynecology, Graduate School of Medicine, The University of Tokyo, Tokyo, 113-8655, Japan.
Ryuji HamamotoDivision of Medical AI Research and Development, National Cancer Center Research Institute, 5-1-1 Tsukiji, Chuo-ku, Tokyo, 104-0045, Japan.

Funding

JSPS Grant-in-Aid for Scientific Research JP24K03039The National Cancer Center Research and Development Fund 2023-A-04The Research Grant of the Princess Takamatsu Cancer Research Fund 19-25108
6 · The paper itself

Abstract

Ovarian clear cell carcinoma (OCCC) is a chemoresistant subtype of epithelial ovarian cancer with limited therapeutic options and distinct molecular features. Histone methyltransferase SETD8 catalyzes the monomethylation of histone H4 at lysine 20 (H4K20me1) and has been implicated in transcriptional regulation across multiple cancer types. In endometrial cancer, we previously demonstrated that SETD8 regulates downstream targets through integrative ChIP-seq and RNA-seq analyses, linking its activity to p53-dependent signaling pathways. However, the role of SETD8 in OCCC and its potential tumor-context–specific functions remain undefined. Integrative analyses of ChIP-seq and RNA-seq in OCCC revealed that SETD8 maintains the expression of genes critical for RNA processing, including HNRNPA2B1, EIF4G1, and SRSF3, in a manner independent of p53 signaling. Pharmacological inhibition or RNA interference–mediated depletion of SETD8 resulted in a pronounced reduction of global H4K20me1 levels, impaired cellular proliferation, and increased lipid peroxidation consistent with ferroptotic stress. Transcriptomic profiling further demonstrated that SETD8 inhibition reprograms ferroptosis-associated gene expression, establishing a mechanistic link between chromatin-based transcriptional control and cellular redox vulnerability. Furthermore, clinical data analysis from public datasets (GSE29450 and TCGA-KIRC) confirmed that SETD8 is significantly overexpressed in OCCC tissues compared to normal counterparts and that high SETD8 expression correlates with poor overall survival in clear cell lineage tumors, underscoring its potential as a clinical biomarker. Our study provides an in vitro mechanistic framework in which SETD8 safeguards RNA metabolic integrity and mitigates ferroptotic stress through epigenetic regulation in OCCC. These results underscore the lineage-specific roles of SETD8 across gynecologic malignancies and identify SETD8 as a potential therapeutic vulnerability that warrants further in vivo investigation.

Indexed as

Adenocarcinoma, Clear CellEpigenesis, GeneticHistone-Lysine N-MethyltransferaseHistonesOvarian NeoplasmsCell Line, TumorFemaleGene Expression Regulation, NeoplasticHumansHistone-Lysine N-MethyltransferaseHistonesKMT5A protein, humanEpigeneticsFerroptosisH4K20me1Ovarian clear cell carcinomap53-independent signalingRNA processingSETD8

Identifiers

PMID41986648
PMCPMC13243534

What Socratic holds

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LicenceCC BY-NC-ND
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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 Socratic graph.