ArticleBMC microbiology2023
Microbiota profiles in the saliva, cancerous tissues and its companion paracancerous tissues among Chinese patients with lung cancer.
Article in BMC microbiology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 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
14 citing papers in PubMed, 12 citations in OpenAlex.
- Intratumoral microbiota in cancer immunotherapy: metabolic-epigenetic crosstalk and engineered bacterial therapeutics.Experimental hematology & oncology · 2026Review
- Microbial Influence on Immune Checkpoint Inhibitor Therapy in Non-Small Cell Carcinoma: The Gut-Lung-Immune Axis.Cancers · 2026Review
- Lung microbiota analysis in early-stage lung adenocarcinoma.Microbiology spectrum · 2026Article
- Culturable and unculturable periodontal microorganisms in non-small cell lung cancer: an exploratory analysis.Scientific reports · 2026Article
- The association between periodontal disease and lung cancer: a re-evaluation of independent causal relationships in the presence of smoking as a confounder and an exploration of potential mechanisms.Frontiers in cellular and infection microbiology · 2026Review
- Review
- DC-SIGN (CD209)-mediated interactions between bacteria, lung cancer tissues, and macrophages promote cancer metastasis.Infectious agents and cancer · 2025Article
- Characterizations of lung cancer microbiome and exploration of potential microbial risk factors for lung cancer.Scientific reports · 2025Article
- Gut Microbiome and Metabolite Characteristics Associated With Different Clinical Stages in Non-Small Cell Lung Cancer Patients.Cancer management and research · 2025Article
- Diagnostic potential of salivary microbiota in persistent pulmonary nodules: identifying biomarkers and functional pathways using 16S rRNA sequencing and machine learning.Journal of translational medicine · 2024Article
- Symbiotic microbial communities in various locations of the lung cancer respiratory tract along with potential host immunological processes affected.Frontiers in cellular and infection microbiology · 2024Review
- Microbes for lung cancer detection: feasibility and limitations.Frontiers in oncology · 2024Review
- Characterizing microbial communities and their correlation with genetic mutations in early-stage lung adenocarcinoma: implications for disease progression and therapeutic targets.Frontiers in oncology · 2024Article
- The relationship between gastric microbiome features and responses to neoadjuvant chemotherapy in gastric cancer.Frontiers in microbiology · 2024Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
12 authors at 5 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundDespite the growing interest in the impact of the gut microbiome on cancer, the relationship between the lung microbiome and lung cancer has received limited investigation. Additionally, the composition of the oral microbiome was found to differ from that of individuals with lung cancer, indicating that these microorganisms may serve as potential biomarkers for the detection of lung cancer.
methodsForty-three Chinese lung cancer patients were enrolled in the current retrospective study and 16 S rRNA sequencing was performed on saliva, cancerous tissue (CT) and paracancerous tissue (PT) samples.
resultsDiversity and species richness were significantly different between the oral and lung microbiota. Lung microbiota were largely composed of the phyla Proteobacteria, Firmicutes, Bacteroidetes and Actinobacteria. The relative abundance of Promicromonosporacea and Chloroflexi increased in CT, while Enterococcaceae and Enterococcus were enriched in PT (p<0.05). A cancer-related microbiota model was constructed and produced an area under the curve of 0.74 in the training set, indicating discrimination between subjects with and without cancer.
conclusionsCharacterization of microbiota in saliva, CT and PT from Chinese lung cancer patients revealed little difference between CT and PT, indicating that the tumor and its microenvironment might influence the local microbiome. A model to distinguish between CT and PT was constructed, which has the potential to enhance our comprehension of the involvement of microbiota in the pathogenesis of lung cancer and identify novel therapeutic targets.
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.