Evidence map›Paper›PMID 42103910›Full record

ArticleScientific reports2026

Intratumoral microbial networks as biomarkers for second primary oral cancer risk in esophageal squamous cell carcinoma.

Wei-Ni Lyu, Cheng-Ying Shen, Yi-Jian Tsai, Li-Han Chen, Yung-Hua Lee, Shin-Kuang Chen, Jang-Ming Lee, Pei-Jen Lou, Eric Y Chuang, Mong-Hsun Tsai

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Scientific reports, 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

10 authors.

Wei-Ni Lyu *Institute of Biotechnology, National Taiwan University, No. 81, Changxing St., Taipei, 106, Taiwan.
Cheng-Ying Shen *Institute of Biotechnology, National Taiwan University, No. 81, Changxing St., Taipei, 106, Taiwan.
Yi-Jian Tsai *Graduate Institute of Biomedical Electronics and Bioinformatics, National Taiwan University, No. 1, Sec. 4, Roosevelt Rd., Taipei, 106, Taiwan.
Li-Han ChenInstitute of Fisheries Science, National Taiwan University, Taipei, Taiwan.
Yung-Hua LeeInstitute of Biotechnology, National Taiwan University, No. 81, Changxing St., Taipei, 106, Taiwan.
Shin-Kuang ChenCenter for Biotechnology, National Taiwan University, Taipei, Taiwan.
Jang-Ming LeeDepartment of Surgery, National Taiwan University Hospital, Taipei, Taiwan.
Pei-Jen LouDepartment of Otolaryngology, National Taiwan University Hospital, Taipei, Taiwan.
Eric Y ChuangGraduate Institute of Biomedical Electronics and Bioinformatics, National Taiwan University, No. 1, Sec. 4, Roosevelt Rd., Taipei, 106, Taiwan. chuangey@ntu.edu.tw.
Mong-Hsun TsaiInstitute of Biotechnology, National Taiwan University, No. 81, Changxing St., Taipei, 106, Taiwan. motiont@ntu.edu.tw.

Funding

Development Center for Medical Devices, National Taiwan University 115KKZA3T1Fu Jen Catholic University Hospital PL-202208034-V
6 · The paper itself

Abstract

Esophageal squamous cell carcinoma (ESCC) survivors remain at elevated risk of developing second primary oral cancer (SPOC), yet the role of intratumoral microbiomes in SPOC emergence is not fully understood. We performed 16 S rRNA V3-V4 sequencing on tumor brushings from 28 ESCC patients (20 SPOC-negative, 8 SPOC-positive) to profile microbial diversity, taxonomic composition, functional potential, and interaction networks. Alpha diversity metrics (Chao1, Shannon) did not differ significantly between groups (p > 0.05), whereas sparse partial least squares-discriminant analysis of beta diversity robustly separated SPOC-positive from SPOC-negative tumors (p < 0.001), identifying 32 discriminant amplicon sequence variants (ASVs) linked to 41 differential KEGG pathways. Intratumoral Spearman correlation networks (|r| > 0.3, p < 0.05) between the ten most abundant genera and these pathways revealed two distinct modules: a SPOC-associated network centered on Prevotella pallens and P. scopos, enriched in carbohydrate metabolism, PI3K-Akt signaling, and glycosaminoglycan degradation; and a non-SPOC network anchored by Alcaligenaceae, Cyanobiaceae, Rhodobacteraceae, and Prevotella oris, associated with macrolide biosynthesis and aminobenzoate degradation. These findings demonstrate that specific intratumoral microbial interaction networks distinguish ESCC patients who develop SPOC, and highlight network-based microbial signatures as promising biomarkers for SPOC risk stratification.

Indexed as

Biomarkers, TumorEsophageal NeoplasmsEsophageal Squamous Cell CarcinomaMicrobiotaMouth NeoplasmsNeoplasms, Second PrimaryAgedFemaleHumansMiddle AgedRNA, Ribosomal, 16SBiomarkers, TumorRNA, Ribosomal, 16SEsophageal squamous cell carcinomaMicrobial biomarkersMicrobiomeSecond primary oral cancer

Identifiers

PMID42103910
PMCPMC13342598

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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.