Evidence map›Paper›PMID 42253932›Full record

ArticleMedComm2026

Comprehensive Integrated Single-Cell and Spatial Transcriptomics Unveil the Dynamic Landscape of Betel Nut-Associated Oral Mucosal Carcinogenesis and Its Tumor Microenvironment.

Wei Dong, Shuojin Huang, Yijun Wu, Congyuan Cao, Jiaxue Li, Qianting He, Anxun Wang

Abstract read
In one paragraph

Article in MedComm, 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.

Wei Dong *Department of Oral and Maxillofacial Surgery The First Affiliated Hospital Sun Yat-Sen University Guangzhou Guangdong China.ORCID https://orcid.org/0000-0003-2201-7164
Shuojin Huang *Department of Oral and Maxillofacial Surgery The First Affiliated Hospital Sun Yat-Sen University Guangzhou Guangdong China.
Yijun WuDepartment of Oral and Maxillofacial Surgery The First Affiliated Hospital Sun Yat-Sen University Guangzhou Guangdong China.
Congyuan CaoDepartment of Oral and Maxillofacial Surgery The First Affiliated Hospital Sun Yat-Sen University Guangzhou Guangdong China.
Jiaxue LiDepartment of Oral and Maxillofacial Surgery The First Affiliated Hospital Sun Yat-Sen University Guangzhou Guangdong China.
Qianting HeDepartment of Oral and Maxillofacial Surgery The First Affiliated Hospital Sun Yat-Sen University Guangzhou Guangdong China.
Anxun WangDepartment of Oral and Maxillofacial Surgery The First Affiliated Hospital Sun Yat-Sen University Guangzhou Guangdong China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Betel nut chewing is a major etiological factor for oral squamous cell carcinoma (OSCC), yet its mechanistic underpinnings remain poorly defined. Here, we performed single-cell RNA sequencing and spatial transcriptomics from six OSCC patients to comprehensively dissect the tumor microenvironment (TME) dynamics and cellular heterogeneity associated with betel nut-induced oral mucosal carcinogenesis. We identify a fibrotic, immunosuppressive TME characterized by expanded cancer-associated fibroblasts (CAFs) and B/plasma cells, alongside depletion of cytotoxic T/NK cells and macrophages. CAFs, particularly antigen-presenting CAFs, are spatially enriched at the invasive front and drive epithelial plasticity and malignant transformation. Notably, we uncover a malignant epithelial subpopulation, LAMC2

Indexed as

antigen‐presenting cancer‐associated fibroblastsbetel nut‐associated oral squamous cell carcinomaepithelial–mesenchymal transitionLAMC2+ epithelialsingle‐cell and spatial transcriptomics

Identifiers

PMID42253932
PMCPMC13239442

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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.