ArticleResearch (Washington, D.C.)2022
In-Depth Metaproteomics Analysis of Oral Microbiome for Lung Cancer.
Article in Research (Washington, D.C.), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 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
27 citing papers in PubMed.
- Decoding the cancer microbiome: multi-omics, AI, and translational opportunities.Genome biology · 2026Review
- Oral Cavity Antibacterial Discovery Pipeline Driven by Advanced Analytical Techniques.Molecules (Basel, Switzerland) · 2026Review
- Exploring the oral microbiome: from traditional techniques to advanced omics and databases.Antonie van Leeuwenhoek · 2026Review
- Culturable and unculturable periodontal microorganisms in non-small cell lung cancer: an exploratory analysis.Scientific reports · 2026Article
- Filtration-enriched metabolites and their association with salivary microbiota: a combined two-cohort analysis.Journal of oral microbiology · 2026Article
- Oral Microbiota and Carcinogenesis: Exploring the Systemic Impact of Oral Pathogens.Pathogens (Basel, Switzerland) · 2025Review
- Activation of dimerized BRS3-EP3 suppresses melanoma cell migration through coupling GαFundamental research · 2025Article
- Opportunities and Challenges of Multiomics for Discovery and Monitoring of Human Pathogens.Environment & health (Washington, D.C.) · 2025Review
- OSaMPle workflow for salivary metaproteomics analysis reveals dysbiosis in inflammatory bowel disease patients.NPJ biofilms and microbiomes · 2025Article
- Discovering the Potential Role of the C2 DUSP2+ MCs Subgroup in Lung Adenocarcinoma.Translational oncology · 2025Article
- Evaluation of imputation and imputation-free strategies for differential abundance analysis in metaproteomics data.Briefings in bioinformatics · 2025Article
- 16S rRNA sequencing reveals relationships among enrichment of oral microbiota in the lower respiratory tract and pulmonary nodules malignant progression.Microbiology spectrum · 2025Article
- The association between body composition and overall survival in patients with advanced non-small cell lung cancer.Scientific reports · 2025Article
- Insights into human respiratory microbiome under dysbiosis and its analysis tool.Frontiers in microbiomes · 2025Review
- Research status of the relationship between microecological imbalance and lung cancer.Frontiers in microbiology · 2025Review
- How Have Massively Parallel Sequencing Technologies Furthered Our Understanding of Oncogenesis and Cancer Progression?Methods in molecular biology (Clifton, N.J.) · 2025Review
- Liquid-Liquid Phase Separation in the Prognosis of Lung Adenocarcinoma: An Integrated Analysis.Current cancer drug targets · 2025Article
- [Microbial metaproteomics--From sample processing to data acquisition and analysis].Se pu = Chinese journal of chromatography · 2024Review
- In-depth metaproteomics analysis of tongue coating for gastric cancer: a multicenter diagnostic research study.Microbiome · 2024Article
- Reversing NK cell exhaustion: a novel strategy combining immune checkpoint blockade with drug sensitivity enhancement in the treatment of hepatocellular carcinoma.Frontiers in oncology · 2024Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The human oral microbiome correlates with numerous diseases, including lung cancer. Identifying the functional changes by metaproteomics helps understand the disease-related dysbiosis, yet characterizing low-abundant bacteria is challenging. Here, we developed a free-flow isoelectric focusing electrophoresis-mass spectrometry- (FFIEF-MS-) based metaproteomics strategy to reduce host interferences and enrich low-abundant bacteria for in-depth interpretation of the oral microbiome. With our method, the number of interfering peptides decreased by 52.87%, whereas the bacterial peptides and species increased by 94.97% and 44.90%, respectively, compared to the conventional metaproteomics approach. We identified 3647 bacterial proteins, which is the most comprehensive oral metaproteomics study to date. Lung cancer-associated bacteria were validated among an independent cohort. The imbalanced
Identifiers
What Socratic 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 Socratic graph.