Evidence map›Paper›PMID 40879838›Full record

ReviewDiscover oncology2025

The role of oral microbiota in lung carcinogenesis through the oral-lung axis: a comprehensive review of mechanisms and therapeutic potential.

Mingzhu Zhou, Yan Liu, Xin Yin, Jiannan Gong, Jianqiang Li

Abstract readReview
In one paragraph

Review in Discover oncology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Review
  2. [The Role of Salivary Microbiota in Oral and Systemic Disease Development and Diagnosis].Sichuan da xue xue bao. Yi xue ban = Journal of Sichuan University. Medical science edition · 2026
    Review
  3. Review
  4. Review
  5. The role ofFrontiers in oral health · 2026
    Review
  6. Review
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

5 authors.

Mingzhu Zhou *The Second Hospital of Shanxi Medical University, The Second Clinical Medical College of Shanxi Medical University, Shanxi Medical University, Taiyuan, 030001, China.
Yan Liu *The Second Hospital of Shanxi Medical University, The Second Clinical Medical College of Shanxi Medical University, Shanxi Medical University, Taiyuan, 030001, China.
Xin YinThe Second Hospital of Shanxi Medical University, The Second Clinical Medical College of Shanxi Medical University, Shanxi Medical University, Taiyuan, 030001, China.
Jiannan GongThe Second Hospital of Shanxi Medical University, The Second Clinical Medical College of Shanxi Medical University, Shanxi Medical University, Taiyuan, 030001, China. ly04212022@163.com.
Jianqiang LiThe Second Hospital of Shanxi Medical University, The Second Clinical Medical College of Shanxi Medical University, Shanxi Medical University, Taiyuan, 030001, China. Mingz_zhou@163.com.

Funding

he Shanxi Science and Technology Department Basic Research Program for Young Researchers in the Category of Free Exploration NO202203021212055Shanxi Provincial Scientific Research Funding Program for Returned Overseas Scholars NO2022-200
6 · The paper itself

Abstract

purposeGrowing evidence highlights the crucial role of microbial communities in tumorigenesis across various organs. As the primary gateway for microbial entry into the human body, the oral cavity harbors a complex microbiome that may significantly influence systemic health, particularly pulmonary conditions. Notably, studies reveal remarkable similarities between oral and lung microbial compositions in healthy individuals, suggesting potential crosstalk through the oral-lung axis that could impact lung tumor development. However, the precise mechanisms by which oral microbiota contribute to pulmonary carcinogenesis remain poorly understood. Understanding the relationship between oral microbes and lung tumors is important for the prevention and treatment of diseases such as lung cancer.

methodsThis review systematically synthesizes the latest research advances on the association between oral microbiota and lung cancer. It first elucidates the evidence demonstrating how oral microbiota promote lung carcinogenesis through the oral-lung axis, then dissects the underlying molecular mechanisms through three key dimensions: microbial metabolites, chronic inflammation, and immune regulation. Finally, it discusses potential microbiota-targeted therapeutic strategies.

resultsEmerging evidence establishes the oral microbiome as a key modulator of lung carcinogenesis through the oral-lung axis. Specifically, pathogens like Porphyromonas gingivalis and commensals such as Veillonella and Prevotella promote tumor progression through multiple mechanisms, including metabolite secretion, chronic inflammation induction, and immunosuppression. Furthermore, smoking exacerbates this process by significantly disrupting microbial homeostasis. Regarding therapeutic approaches, current strategies-particularly probiotics, polyphenol-rich diets, professional oral care, and phytomedicines like berberine-show considerable promise. However, these interventions still require further mechanistic validation through rigorous preclinical and clinical studies.

conclusionThe oral microbiota promotes the occurrence and development of lung cancer through the oral and pulmonary axis through multiple mechanisms such as metabolite secretion, chronic inflammation induction and immunosuppression, and smoking significantly exacerbates this process by disrupting microbial homeostasis. The therapeutic effect has been preliminarily confirmed by antimicrobial therapy and probiotic intervention.

Indexed as

Antimicrobial peptidesInflammation responseLung cancerMetabolitesOral floraSmoking

Identifiers

PMID40879838
PMCPMC12397477

What Socratic 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 Socratic graph.