Evidence map›Paper›PMID 42562816›Full record

ArticleSignal transduction and targeted therapy2026

RNA methyltransferase 3 drives pancreatic acinar cell carcinoma growth and is a therapeutic target.

Shotaro Tatekawa, Tomoaki Hara, Sikun Meng, Tetsuya Sato, Takahiro Arai, Keisuke Tamari, Yasuko Arao, Yoshiko Tsuji, Masamitsu Konno, Ken Ofusa and 12 more

Abstract read
In one paragraph

Article in Signal transduction and targeted therapy, 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

22 authors.

Shotaro Tatekawa *Department of Medical Data Science, Center of Medical Innovation and Translational Research (CoMIT), The University of Osaka Graduate School of Medicine, Suita, Osaka, Japan.
Tomoaki Hara *Department of Medical Data Science, Center of Medical Innovation and Translational Research (CoMIT), The University of Osaka Graduate School of Medicine, Suita, Osaka, Japan.
Sikun Meng *Department of Medical Data Science, Center of Medical Innovation and Translational Research (CoMIT), The University of Osaka Graduate School of Medicine, Suita, Osaka, Japan.
Tetsuya Sato *H.U. Group Research Institute G.K., Akiruno, Tokyo, Japan.
Takahiro AraiDepartment of Medical Data Science, Center of Medical Innovation and Translational Research (CoMIT), The University of Osaka Graduate School of Medicine, Suita, Osaka, Japan.
Keisuke TamariDepartment of Radiation Oncology, The University of Osaka Graduate School of Medicine, Suita, Osaka, Japan.
Yasuko AraoDepartment of Medical Data Science, Center of Medical Innovation and Translational Research (CoMIT), The University of Osaka Graduate School of Medicine, Suita, Osaka, Japan.
Yoshiko TsujiDepartment of Medical Data Science, Center of Medical Innovation and Translational Research (CoMIT), The University of Osaka Graduate School of Medicine, Suita, Osaka, Japan.
Masamitsu KonnoDepartment of Medical Data Science, Center of Medical Innovation and Translational Research (CoMIT), The University of Osaka Graduate School of Medicine, Suita, Osaka, Japan.ORCID http://orcid.org/0000-0001-6960-2315
Ken OfusaDepartment of Medical Data Science, Center of Medical Innovation and Translational Research (CoMIT), The University of Osaka Graduate School of Medicine, Suita, Osaka, Japan.
Koji KitamuraDepartment of Otorhinolaryngology-Head and Neck Surgery, The University of Osaka Graduate School of Medicine, Suita, Osaka, Japan.
Sarah RennieSection for Computational and RNA Biology, Department of Biology, University of Copenhagen, Copenhagen, Denmark.
Motoharu InuiDepartment of Gastroenterological Surgery, The University of Osaka Graduate School of Medicine, Suita, Osaka, Japan.
Daisuke TaguchiDepartment of Gastroenterological Surgery, The University of Osaka Graduate School of Medicine, Suita, Osaka, Japan.
Hirofumi AkitaDepartment of Gastroenterological Surgery, The University of Osaka Graduate School of Medicine, Suita, Osaka, Japan.
Daisuke MotookaGenome Information Research Center, Research Institute for Microbial Diseases, The University of Osaka, Suita, Osaka, Japan.
Yoshiki MurakumoDepartment of Pathology, Kitasato University School of Medicine, Sagamihara, Kanagawa, Japan.
Hidenori InoharaDepartment of Otorhinolaryngology-Head and Neck Surgery, The University of Osaka Graduate School of Medicine, Suita, Osaka, Japan.
Yuichiro DokiDepartment of Gastroenterological Surgery, The University of Osaka Graduate School of Medicine, Suita, Osaka, Japan.
Hidetoshi EguchiDepartment of Gastroenterological Surgery, The University of Osaka Graduate School of Medicine, Suita, Osaka, Japan.
Kazuhiko OgawaDepartment of Radiation Oncology, The University of Osaka Graduate School of Medicine, Suita, Osaka, Japan.
Hideshi IshiiDepartment of Medical Data Science, Center of Medical Innovation and Translational Research (CoMIT), The University of Osaka Graduate School of Medicine, Suita, Osaka, Japan. hishii@gesurg.med.osaka-u.ac.jp.

Funding

Japan Agency for Medical Research and Development (AMED) JP23ym0126809, JP24ym0126809Ministry of Education, Culture, Sports, Science and Technology (MEXT) 23K18313, 24K02518, 23KK0153, 24K22144, 23K19505, 24K19992, 25H01060
6 · The paper itself

Abstract

Pancreatic acinar cell carcinoma (ACC) is a rare and aggressive malignancy whose molecular basis remains poorly understood. N6-methyladenosine (m⁶A) RNA modification, mediated particularly through methyltransferase 3 (METTL3), has emerged as a critical regulator in various cancers. Here, we investigated the role of METTL3-mediated RNA methylation in ACC development and progression. We used transgenic mouse models overexpressing Mettl3 and SV40 large T antigen under the pancreatic elastase I promoter. Comprehensive analyses included m⁶A-methylated RNA immunoprecipitation sequencing (MeRIP-seq), single-cell RNA sequencing (scRNA-seq), functional studies using the METTL3 inhibitor STM2457, and S-adenosylmethionine (SAM)-binding domain deletion mutants to assess functional requirements. Mettl3 overexpression significantly accelerated ACC development and increased tumor aggressiveness. The SAM-binding domain was essential for tumor formation, as deletion mutants failed to promote carcinogenesis. MeRIP-seq revealed preferential methylation of cell cycle and DNA replication genes in Mettl3-overexpressing tumors. scRNA-seq analysis demonstrated enhanced malignancy signatures, including epithelial-to-mesenchymal transition and transforming growth factor-β signaling. METTL3 also promoted PRSS1-mediated signaling from ACC cells to inflammatory cancer-associated fibroblasts, creating a feed-forward loop involving IGF1 that amplifies tumor growth. Conditional Mettl3 deletion induced rapid tumor apoptosis. Pharmacological inhibition with STM2457 similarly triggered caspase-3/7-dependent apoptosis in pancreatic tumors. METTL3-mediated RNA methylation drives ACC pathogenesis through tumor-intrinsic cell cycle regulation and tumor-extrinsic stromal interactions. These findings establish METTL3 as a promising therapeutic target and provide mechanistic insights supporting the clinical development of METTL3 inhibitors for ACC treatment.

Indexed as

Carcinoma, Acinar CellMethyltransferasesNeoplasm ProteinsPancreatic NeoplasmsAnimalsEpitranscriptomeGene Expression Regulation, NeoplasticHumansMiceMice, TransgenicRNA MethylationMethyltransferasesMETTL3 protein, humanMettl3 protein, mouseNeoplasm Proteins

Identifiers

PMID42562816
PMCPMC13448515

What OpenQuestion 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 OpenQuestion graph.