Evidence map›Paper›PMID 42695015›Full record

ArticleInternational journal of biological sciences2026

Pharmacological Blockade of NMUR2 Suppresses Glioma Growth by Inhibiting STAT5-Mediated Transcription of Cell Cycle-associated Genes.

Yuna Roh, Taesang Son, Tae-Hee Han, Sarang Kim, Eunsun Jung, Jin-Seong Hwang, Joo-Young Im, Mi-Jung Kang, Mun Jeong Cho, Jung Hwa Lim and 10 more

Abstract read
In one paragraph

Article in International journal of biological sciences, 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

20 authors.

Yuna RohKorea Research Institute of Bioscience and Biotechnology (KRIBB), Daejeon 34141, Republic of Korea.
Taesang SonKorea Research Institute of Bioscience and Biotechnology (KRIBB), Daejeon 34141, Republic of Korea.
Tae-Hee HanKorea Research Institute of Bioscience and Biotechnology (KRIBB), Daejeon 34141, Republic of Korea.
Sarang KimKorea Research Institute of Bioscience and Biotechnology (KRIBB), Daejeon 34141, Republic of Korea.
Eunsun JungKorea Research Institute of Bioscience and Biotechnology (KRIBB), Daejeon 34141, Republic of Korea.
Jin-Seong HwangKorea Research Institute of Bioscience and Biotechnology (KRIBB), Daejeon 34141, Republic of Korea.
Joo-Young ImKorea Research Institute of Bioscience and Biotechnology (KRIBB), Daejeon 34141, Republic of Korea.
Mi-Jung KangKorea Research Institute of Bioscience and Biotechnology (KRIBB), Daejeon 34141, Republic of Korea.
Mun Jeong ChoKorea Research Institute of Bioscience and Biotechnology (KRIBB), Daejeon 34141, Republic of Korea.
Jung Hwa LimKorea Research Institute of Bioscience and Biotechnology (KRIBB), Daejeon 34141, Republic of Korea.
Cho-Rok JungKorea Research Institute of Bioscience and Biotechnology (KRIBB), Daejeon 34141, Republic of Korea.
Moo-Seung LeeKorea Research Institute of Bioscience and Biotechnology (KRIBB), Daejeon 34141, Republic of Korea.
Hyun-Soo ChoKorea Research Institute of Bioscience and Biotechnology (KRIBB), Daejeon 34141, Republic of Korea.
Dae-Soo KimKorea Research Institute of Bioscience and Biotechnology (KRIBB), Daejeon 34141, Republic of Korea.
Mi-Young SonKorea Research Institute of Bioscience and Biotechnology (KRIBB), Daejeon 34141, Republic of Korea.
Seon-Young KimKorea Research Institute of Bioscience and Biotechnology (KRIBB), Daejeon 34141, Republic of Korea.
Seon-Kyu KimKorea Research Institute of Bioscience and Biotechnology (KRIBB), Daejeon 34141, Republic of Korea.
Hyun Seung BanKorea Research Institute of Bioscience and Biotechnology (KRIBB), Daejeon 34141, Republic of Korea.
Jang-Seong KimKorea Research Institute of Bioscience and Biotechnology (KRIBB), Daejeon 34141, Republic of Korea.
Tae-Su HanKorea Research Institute of Bioscience and Biotechnology (KRIBB), Daejeon 34141, Republic of Korea.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Glioma is a highly aggressive brain tumor with poor prognosis and limited therapeutic options. Although temozolomide (TMZ) remains the standard chemotherapeutic agent for glioma, frequent recurrence and the development of therapeutic resistance continue to limit clinical benefit, highlighting the need for new molecular targets and treatment strategies. Here, we identify neuromedin U receptor 2 (NMUR2) as a driver of glioma progression and a potential therapeutic target. NMUR2 expression was markedly elevated in glioma tissues and positively associated with tumor grade. Functional analyses showed that NMUR2 promoted glioma cell proliferation and migration, whereas NMUR2 silencing attenuated these malignant phenotypes. Mechanistically, NMUR2 activated Gαq-dependent Ca²⁺ signaling, leading to STAT5 phosphorylation and subsequent transcriptional upregulation of the cell cycle-associated genes PIM1 and FOXM1. Drug-repurposing screening of 6,331 compounds identified NNC 05-2090 as a candidate NMUR2 antagonist. NNC 05-2090 blocked NMUR2-mediated Gαq/Ca²⁺/STAT5 signaling, which was associated with reduced PIM1 and FOXM1 expression, cell cycle arrest, and suppression of glioma growth

Indexed as

Brain NeoplasmsGliomaReceptors, NeurotransmitterSTAT5 Transcription FactorAnimalsCell CycleCell Line, TumorCell MovementCell ProliferationGene Expression Regulation, NeoplasticHumansMiceMice, NudeSignal TransductionTemozolomideneuromedin U receptorReceptors, NeurotransmitterSTAT5 Transcription FactorTemozolomidegliomaG-protein-coupled receptorsneuromedin U receptor 2NNC 05-2090temozolomide

Identifiers

PMID42695015
PMCPMC13540699

What OpenQuestion holds

Textmetadata
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 OpenQuestion graph.