ArticleFrontiers in oncology2023
Distinct respiratory microbiota associates with lung cancer clinicopathological characteristics.
Article in Frontiers in oncology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.
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.
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.
Who cites it
16 citing papers in PubMed, 17 citations in OpenAlex.
- Lung microbiome dynamics in health and lung cancer.Microbial genomics · 2025Review
- The emerging role of microbiota in lung cancer: a new perspective on lung cancer development and treatment.Cellular oncology (Dordrecht, Netherlands) · 2025Review
- The role of oral microbiota in lung carcinogenesis through the oral-lung axis: a comprehensive review of mechanisms and therapeutic potential.Discover oncology · 2025Review
- The Current Roadmap of Lung Cancer Biology, Genomics and Racial Disparity.International journal of molecular sciences · 2025Review
- Association between airway microbiota and systemic inflammation markers in non-small cell lung cancer patients.Scientific reports · 2025Article
- From Microbial Homeostasis to Systemic Pathogenesis: A Narrative Review on Gut Flora's Role in Neuropsychiatric, Metabolic, and Cancer Disorders.Journal of inflammation research · 2025Review
- Lung cancer and the Gut-microbiota-lung Axis: emerging evidence and potential clinical implications.Frontiers in medicine · 2025Review
- Integrated analysis of microbiome and host transcriptome revealed correlations between tissue microbiota and tumor progression in early-stage papillary thyroid carcinoma.Frontiers in cellular and infection microbiology · 2025Article
- Analyzing the characteristics of respiratory microbiota after the placement of an airway stent for malignant central airway obstruction.Microbiology spectrum · 2024Article
- Comprehensive sampling of the lung microbiome in early-stage non-small cell lung cancer.JTCVS open · 2024Article
- Bioactives of the essential oil from the leaves ofFrontiers in pharmacology · 2024Article
- Exploring the potential role of microbiota and metabolites in acute exacerbation of chronic obstructive pulmonary disease.Frontiers in microbiology · 2024Article
- Effect of fermentation on the constituents in the branches and leaves ofFrontiers in pharmacology · 2024Article
- The Complex Role of the Microbiome in Non-Small Cell Lung Cancer Development and Progression.Cells · 2023Review
- Lung-gut axis of microbiome alterations following co-exposure to ultrafine carbon black and ozone.Particle and fibre toxicology · 2023Article
- Pulmonary microbiota intervention alleviates fine particulate matter-induced lung inflammation in broilers.Journal of animal science · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Introduction: Commensal microbiota dysbiosis is associated with the development of lung cancer. The current studies about composition of respiratory microbiota in lung cancer patients yielded inconsistent results. This study aimed to examine the association between airway microbiota and lung cancer clinicopathological characteristics. Methods: Surgically removed lesion tissues from 75 non-small cell lung cancer patients and 7 patients with benign pulmonary diseases were analyzed by 16S rRNA sequencing. Taxonomy, relative abundance, and diversity of respiratory microbiota were compared among lung cancer of different pathology and TNM stages. The effects of antibiotic and cigarette exposure on respiratory microbiota in lung cancer patients were also evaluated. Results: Bacterial relative abundance and alpha- and beta-diversity analysis of lung microbiota showed significant differences among lung cancer of different pathology and benign pulmonary diseases. At the genus level, the abundance differences of 13 taxa between lung squamous cell carcinoma and lung adenocarcinoma, 63 taxa between lung squamous cell carcinoma and benign pulmonary diseases, and 4 taxa between lung adenocarcinoma and benign pulmonary diseases reached statistical significance. In contrast, diversity differences were not as significant across lung cancer of different stages. No significant differences were observed in tissue taxonomic abundances and diversity at all taxonomic levels between lung cancer patients with and without antibiotic exposure 3 months prior to surgery. For lung adenocarcinoma, respiratory bacterial abundance and diversity at all taxonomic levels did not show significant differences between smokers and non-smokers. Conclusions: Our results confirm significantly differential respiratory microbiome taxa, abundance, and diversity in lung cancer of different pathology and some stages. Short-term antibiotic application might play a minor role in molding airway microbiota in lung cancer patients. Composition and diversity of respiratory microbiota in lung adenocarcinoma are not affected by cigarette exposure.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.