Evidence map›Paper›PMID 41318499›Full record

ArticleJournal of translational medicine2025

Multi-omics analysis reveals the association between intratumoral bacteria and somatic mutational signatures in oral squamous cell carcinoma.

Yunmei Dong, Maofeng Qing, Yu Zhang, Bing Yang, Hangyu Zhou, Delin Xia, Qingshu Li, Richard D Cannon, Ping Ji, Xin Jin

Abstract read
In one paragraph

Article in Journal of translational medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. IntratumoralJournal for immunotherapy of cancer · 2026
    Article
  2. Article
  3. Review
  4. Journal of oral microbiology · 2026
    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

10 authors.

Yunmei DongChongqing Key Laboratory of Oral Diseases, Chongqing, China.ORCID http://orcid.org/0000-0002-7252-3359
Maofeng QingDepartment of Stomatology, The Second Affiliated Hospital of Chongqing Medical University, Chongqing, China.
Yu ZhangChongqing Key Laboratory of Oral Diseases, Chongqing, China.
Bing YangChongqing Key Laboratory of Oral Diseases, Chongqing, China.
Hangyu ZhouDepartment of Plastic and Maxillofacial Surgery, The Second Affiliated Hospital of Chongqing Medical University, Chongqing, China.
Delin XiaDepartment of Plastic and Maxillofacial Surgery, The Second Affiliated Hospital of Chongqing Medical University, Chongqing, China.
Qingshu LiDepartment of Pathology, Molecular Medicine and Cancer Research Center, Chongqing Medical University, Chongqing, China.
Richard D CannonSir John Walsh Research Institute, Faculty of Dentistry, University of Otago, Dunedin, New Zealand.
Ping JiChongqing Key Laboratory of Oral Diseases, Chongqing, China.
Xin JinChongqing Key Laboratory of Oral Diseases, Chongqing, China. 500934@cqmu.edu.cn.ORCID http://orcid.org/0000-0002-3159-2761

Funding

China Postdoctoral Science Foundation 2024MD754038Chongqing medical scientific research project (Joint project of the Chongqing Health Commission and the Science and Technology Bureau) 2025QNXM048National Natural Science Foundations of China 82370968Natural Science Foundation of Chongqing CSTB2022NSCQ-MSX1148
6 · The paper itself

Abstract

backgroundOral squamous cell carcinoma (OSCC) poses significant challenges with its obscure etiology and poor prognosis. Intratumoral bacteria exert a significant influence on the progression of OSCC. Nonetheless, the precise composition and role of the intratumoral bacteria in OSCC patients remain obscure and the association between the intratumoral bacteria and somatic mutational signatures in OSCC patients has not been defined.

methodsParaffin-embedded tumors and adjacent normal tissues were collected retrospectively from OSCC patients. A five-region 16S rRNA gene sequencing (5R 16S rRNA-seq) approach (targeting V2, V3, V5, V6, and V8) was employed to characterize the intratumoral bacterial composition of OSCC patients, while whole-exome sequencing (WES) was utilized to identify the somatic mutational signatures of OSCC patients. Then, the multi-omics data were integrated to uncover the association between intratumoral bacterial composition and somatic mutational signatures in OSCC patients. Key findings were validated using fluorescence in situ hybridization (FISH) on tissue microarrays.

resultsWe found significant differences in bacterial profiles between tumors and adjacent normal tissues. The diversity of the bacteria was less within tumor tissues and anaerobic bacteria and periodontopathogens (e.g., Dialister pneumosintes and Prevotella intermedia) were more prevalent in tumor tissues. And the presence of Dialister pneumosintes within tumor tissues is associated with poorer short-term disease-free survival in OSCC patients. The integrated analysis of the 5R 16S rRNA-seq and WES data revealed that tumor mutation burden was positively correlated with the α diversity of the intratumoral bacteria in OSCC patients.

conclusionThis study utilized a multi-omics approach to elucidate the characteristics of the intratumoral bacteria and somatic mutational signatures in OSCC patients, revealing the intricate relationships between these elements. These findings pave the way for hypothesis-driven research aiming to further elucidate the role of the intratumoral bacteria in OSCC.

Indexed as

BacteriaCarcinoma, Squamous CellGenomicsMouth NeoplasmsMutationAgedFemaleHumansIn Situ Hybridization, FluorescenceMaleMiddle AgedMultiomicsRNA, Ribosomal, 16SRNA, Ribosomal, 16SFive-region 16S rRNA gene sequencingIntratumoral bacteriaOral squamous cell carcinomaSomatic mutational signaturesWhole exome sequencing

Identifiers

PMID41318499
PMCPMC12771913

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.