ArticleCellular oncology (Dordrecht, Netherlands)2026
Bacterial taxa associated with lung cancer cases in Southeast Asians: a pilot case-control study.
Article in Cellular oncology (Dordrecht, Netherlands), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
15 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
purposeLung cancer is the leading cause of cancer-related mortality worldwide, yet its underlying mechanisms remain unclear. Disruptions in the respiratory microbiome may promote inflammation and carcinogenesis. This study aimed to comprehensively compare genus-level sputum microbiota between lung cancer patients and healthy controls in a multiethnic Southeast Asian population.
methodsSputum samples were collected from lung cancer patients across three Singapore hospitals. Socio-demographic data were obtained via questionnaire. We analyzed 16S rRNA amplicon sequences from 70 lung cancer patients and 47 healthy controls from a separate local cohort, using identical sequencing protocols to minimize batch effects. Alpha- and beta-diversity metrics, random forest models, and ANCOM-BC2 were used to identify microbial features associated with lung cancer and host characteristics.
resultsLung cancer cases showed significantly reduced genus richness compared to controls. Beta-diversity (Aitchison distance) differed by case-control status, sex, age, and smoking history. ANCOM-BC2 identified Lactobacillus as differentially enriched in cases. However, this enrichment did not pass the pseudo-count test among never-smokers. Further sex-stratified analysis revealed that the Lactobacillus enrichment was driven primarily by male cases. Conversely, [Eubacterium] nodatum group, Mogibacterium, and Campylobacter emerged as robust inverse signatures for lung cancer, with their depletion consistently supported across stratified and unstratified differential abundance analyses, random forest modeling, and Wilcoxon rank-sum tests. However, these findings may still be subjected to residual confounding by exogenous factors, such as medication use, which could not be adequately adjusted for between case-control groups.
conclusionThis pilot case-control study, conducted in a multiethnic Southeast Asian population, identified distinct respiratory microbiota signatures associated with lung cancer using robust differential abundance and machine-learning methods, providing preliminary evidence for a potential role of the respiratory microbiome to lung carcinogenesis, warranting validation in larger, longitudinal studies.
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.