Evidence map›Paper›PMID 42500650›Full record

ArticleFrontiers in immunology2026

Spatial transcriptomics reveals molecular differences associated with malignant transformation in oral epithelial dysplasia.

Naren Raja, Harsh B Pathak, Amrita Mitra, Sufi Mary Thomas, Yong Wang, Tanya Marie Gibson, Rong Wang

Abstract read
In one paragraph

Article in Frontiers in immunology, 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

7 authors.

Naren RajaDepartment of Oral and Craniofacial Sciences, School of Dentistry, University of Missouri-Kansas City, Kansas City, MO, United States.
Harsh B PathakPathology and Laboratory Medicine, University of Kansas Medical Center, Kansas City, KS, United States.
Amrita MitraPathology and Laboratory Medicine, University of Kansas Medical Center, Kansas City, KS, United States.
Sufi Mary ThomasOtolaryngology-Head and Neck Surgery, University of Kansas Medical Center, Kansas City, KS, United States.
Yong WangDepartment of Oral and Craniofacial Sciences, School of Dentistry, University of Missouri-Kansas City, Kansas City, MO, United States.
Tanya Marie GibsonDepartment of Oral Pathology, Radiology and Medicine, School of Dentistry, University of Missouri-Kansas City, Kansas City, MO, United States.
Rong WangDepartment of Oral and Craniofacial Sciences, School of Dentistry, University of Missouri-Kansas City, Kansas City, MO, United States.

Funding

Using Integrated Omics to Identify Dysfunctional Genetic Mechanisms Influencing Schizophrenia and Sleep DisturbancesP20GM130423 · NIGMS · UNIVERSITY OF KANSAS MEDICAL CENTER · PI Kalyani Pyaram, Steven Allan Soper · 2019 to 2026
$21.5M
Decoding FTIR-based multimodal imaging for risk assessment of precancerous oral lesionsR56DE034052 · NIDCR · UNIVERSITY OF MISSOURI KANSAS CITY · PI WANG, RONG · 2024 to 2024
$550k
Infrared Spectroscopic Imaging and Machine Learning for Risk Stratification of Oral Epithelial DysplasiaR21DE032560 · NIDCR · UNIVERSITY OF MISSOURI KANSAS CITY · PI WANG, RONG, WANG, YONG · 2023 to 2024
$431k
NIDCR NIH HHS R21 DE032560NIDCR NIH HHS R56 DE034052NIGMS NIH HHS P20 GM130423
6 · The paper itself

Abstract

Background: Oral epithelial dysplasia (OED) is a precancerous oral lesion with variable risk of progression to oral squamous cell carcinoma (OSCC). The molecular basis underlying this progression remains incompletely understood. To address this gap, this study applied spatial transcriptomics to characterize benign, OED and OSCC biopsies with a focus on the comparison between transforming and non-transforming OED. Methods: Spatial transcriptomic profiling was performed on 13 benign, 15 OED (8 transforming, 7 non-transforming), and 14 OSCC biopsies using the NanoString GeoMx Digital Spatial Profiler. Regions of interest were segmented into epithelial and immune-enriched compartments with morphological markers. Gene expression was measured using the GeoMx Cancer Transcriptome Atlas (~1, 800 genes) and differentially expressed genes (DEGs) were identified using linear mixed-effects modeling. Exploratory bioinformatic analyses were performed to provide biological context. Results: Comparison of OED with and without transformation identified a limited set of 11 epithelial DEGs, including genes associated with antigen presentation and interferon signaling (e.g., Conclusions: This study provides spatially resolved, exploratory insights into molecular differences between OED lesions with distinct clinical outcomes. The results suggest altered epithelial-immune interactions in transforming lesions, though these findings require validation. Spatial transcriptomics may offer a useful framework for investigating early molecular changes in oral carcinogenesis.

Indexed as

Carcinoma, Squamous CellCell Transformation, NeoplasticMouth MucosaMouth NeoplasmsPrecancerous ConditionsFemaleGene Expression ProfilingGene Expression Regulation, NeoplasticHumansMaleSpatial TranscriptomicsTranscriptomebioinformaticsGeoMx digital spatial profilingmalignant transformationoral canceroral epithelial dysplasiaspatial transcriptomics

Identifiers

PMID42500650
PMCPMC13395910

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.