Evidence map›Paper›PMID 41132727›Full record

ReviewFrontiers in oncology2025

From miRNA sponges to mTOR blockades: mapping the multidimensional landscape of ameloblastoma pathogenesis and precision targeting.

Jingsong Mao, Qingxuan Gai, Xinling Bao, Ming Zhong

Abstract readReview
In one paragraph

Review in Frontiers in oncology, 2025. 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

4 authors.

Jingsong MaoDepartment of Oral Histopathology, School and Hospital of Stomatology, China Medical University, Shenyang, China.
Qingxuan GaiDepartment of Oral Histopathology, School and Hospital of Stomatology, China Medical University, Shenyang, China.
Xinling BaoDepartment of Oral Histopathology, School and Hospital of Stomatology, China Medical University, Shenyang, China.
Ming ZhongDepartment of Oral Histopathology, School and Hospital of Stomatology, China Medical University, Shenyang, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Ameloblastoma is a benign but locally aggressive odontogenic tumor with frequent recurrence after conservative surgery. Evidence accumulated since 2010 implicates dysregulated non-coding RNAs (ncRNAs)-notably microRNAs (miRNAs) and circular RNAs (circRNAs)-as higher-order regulators of oncogenic signaling. Objective: This study aimed to synthesize peer-reviewed mechanistic and translational evidence on ncRNA networks in ameloblastoma, with explicit grading by evidence tier and emphasis on druggable nodes. Methods: We conducted a structured narrative search of PubMed, Scopus, and Web of Science (January 2010-May 31, 2025) using controlled terms for "ameloblastoma," "microRNA," "circRNA," and key pathways (MAPK, PI3K-Akt-mTOR, Wnt/β-catenin, IL-33/STAT3; Hippo/YAP-TAZ considered contextually). Peer-reviewed studies with experimental validation in ameloblastoma were prioritized, while purely computational predictions and unrelated tumor entities were excluded. Results: Across patient tissues, cell models, and limited Conclusions: A coherent ncRNA network appears to maintain druggable signaling convergence in ameloblastoma. Translation will require multicenter validation of the ncRNA biomarkers, early-phase trials testing rational MAPK-mTOR combinations with ncRNA modulation, and jaw-targeted delivery approaches. Claims herein are limited to peer-reviewed, ameloblastoma-relevant evidence.

Indexed as

ameloblastomamicroRNAsmolecular targeted therapynon-coding RNAprecision therapysignaling pathway

Identifiers

PMID41132727
PMCPMC12540173

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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.