Evidence map›Paper›PMID 41969484›Full record

ArticleTranslational cancer research2026

Pre-clinical anti-tumor activity and preliminary safety of METTL3 inhibitors STM2457 and UZH1a in neuroblastoma.

Tian Lin, Xinghe Chen, He Huang, Jianxing Zhang, Yali Xu, Junshan Lin

Abstract read
In one paragraph

Article in Translational cancer research, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. RNA mActa pharmacologica Sinica · 2026
    Review
  2. 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

6 authors.

Tian LinDepartment of Pediatric Surgery, The First Affiliated Hospital of Fujian Medical University, Fuzhou, China.ORCID https://orcid.org/0000-0003-4997-7464
Xinghe ChenDepartment of Pediatric Surgery, The First Affiliated Hospital of Fujian Medical University, Fuzhou, China.
He HuangDepartment of Pediatric Surgery, The First Affiliated Hospital of Fujian Medical University, Fuzhou, China.
Jianxing ZhangDepartment of Pediatric Surgery, The First Affiliated Hospital of Fujian Medical University, Fuzhou, China.
Yali XuDepartment of Pediatric Surgery, The First Affiliated Hospital of Fujian Medical University, Fuzhou, China.
Junshan LinDepartment of Pediatric Surgery, The First Affiliated Hospital of Fujian Medical University, Fuzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Neuroblastoma (NB) is one of the most common malignant tumors in children, characterized by high heterogeneity and poor prognosis, posing notable therapeutic challenges. The objective of the present study was to investigate the therapeutic potential and safety profile of two N6-adenosine-methyltransferase 70 kDa subunit (METTL3) inhibitors, STM2457 and UZH1a, in NB. Methods: In this study, we utilized the SK-N-SH cells and wild-type AB strain zebrafish to investigate the anti-tumor efficacy of STM2457 and UZH1a in NB. Cell counting kit-8 (CCK-8), Transwell assays, apoptosis detection, and global N6-methyladenosine (m6A) quantification were performed following 24 h exposure of STM2457 or UZH1a in SK-N-SH cells. For zebrafish, acute-toxicity screening, hepatic enzyme measurement, and xenograft establishment were conducted. Total RNA from larvae was subjected to reverse transcription quantitative polymerase chain reaction for immune-regulatory genes and transcriptome sequencing to identify key pathways. Results: Conclusions: STM2457 and UZH1a exhibited potent anti-NB activity both

Indexed as

N6-adenosine-methyltransferase 70 kDa subunit (METTL3)neuroblastoma (NB)RNA sequencingSTM2457UZH1a

Identifiers

PMID41969484
PMCPMC13066972

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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.