Evidence map›Paper›PMID 41104016›Full record

ArticleFrontiers in cell and developmental biology2025

METTL3-mediated activation of Sonic Hedgehog signaling promotes breast cancer progression.

Sunanda Baidya, Utpal Barua, Muntasim Rahman Shanto, Tayeba Sultana Sonia, Md Al Amin, Saima Sultana, Nusrat Jerin, Khadiza Jahan, Israt Jahan, Shakera Ahmed and 4 more

Abstract read
In one paragraph

Article in Frontiers in cell and developmental biology, 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

14 authors.

Sunanda Baidya *Laboratory of Immune Signaling, Department of Biochemistry and Molecular Biology, University of Chittagong, Chattogram, Bangladesh.
Utpal Barua *Laboratory of Immune Signaling, Department of Biochemistry and Molecular Biology, University of Chittagong, Chattogram, Bangladesh.
Muntasim Rahman ShantoLaboratory of Immune Signaling, Department of Biochemistry and Molecular Biology, University of Chittagong, Chattogram, Bangladesh.
Tayeba Sultana SoniaLaboratory of Immune Signaling, Department of Biochemistry and Molecular Biology, University of Chittagong, Chattogram, Bangladesh.
Md Al AminEuGEF Research Foundation, Chattogram, Bangladesh.
Saima SultanaEuGEF Research Foundation, Chattogram, Bangladesh.
Nusrat JerinLaboratory of Immune Signaling, Department of Biochemistry and Molecular Biology, University of Chittagong, Chattogram, Bangladesh.
Khadiza JahanEuGEF Research Foundation, Chattogram, Bangladesh.
Israt JahanEuGEF Research Foundation, Chattogram, Bangladesh.
Shakera AhmedDepartment of Surgery, Chittagong Medical College, Chattogram, Bangladesh.
Mohammed Moinul IslamEuGEF Research Foundation, Chattogram, Bangladesh.
Ramendu ParialEuGEF Research Foundation, Chattogram, Bangladesh.
Muhammad Mosaraf HossainEuGEF Research Foundation, Chattogram, Bangladesh.
Abu Sadat Mohammad NomanEuGEF Research Foundation, Chattogram, Bangladesh.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Breast cancer represents a heterogeneous group of tumors characterized by diverse molecular and clinical features, driven by both genetic alterations and epigenetic regulation. Among these mechanisms, the Hedgehog (Hh) developmental pathway, particularly elevated levels of its ligand Sonic Hedgehog (SHH), has been implicated in breast cancer progression. Methyltransferase-like 3 (METTL3), the core catalytic component of the m6A methyltransferase complex, responsible for N6-methyladenosine (m6A) modification of mRNA, has shown a stronger prognostic relevance in regulating mRNA stability and cancer development than other m6A writers, erasers, or readers. Despite evidence suggesting that both SHH and METTL3 contribute to tumor growth in breast tissue, the functional relationship between these factors remains unclear. In this study, we investigated the potential of the METTL3-SHH axis in breast cancer progression to address this gap. Methods: We have performed bioinformatic analyses by utilizing data from UALCAN, cBioPortal, and GEPIA platforms to comprehensively investigate the methylation patterns, gene expression levels, and mutation profiles of specific genes of interest. Expressions of METTL3 and components of the SHH signaling pathway were analyzed by qRT-PCR. Statistical analyses were performed by using Student's t-test, Spearman and Pearson coefficient (r) test, ANOVA test, and log-rank test. Results: Analysis of 35 breast cancer patients of Bangladesh and gene expression data from The Cancer Genome Atlas (n = 1,021) database revealed METTL3 is overexpressed in breast cancer, and upregulation of METTL3 and downstream key components of the SHH signaling pathway (p < 0.05 vs. control) correlates significantly with worse patient outcomes (HR = 1.3). These findings suggest a possible regulatory mechanism linking METTL3-mediated m6A modification to SHH signaling in breast cancer progression. Elucidating this axis could provide novel insights into tumor biology and identify promising targets for epigenetic therapies.

Indexed as

breast cancerepigenetic regulationmethyltransferase like-3 (METTL3)N6-methyladenosine (m6A)sonic hedgehog developmental pathway

Identifiers

PMID41104016
PMCPMC12521280

What Socratic holds

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LicenceCC BY
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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.