Salivary Microbial Dysbiosis is Associated with Systemic Inflammatory Markers and Predicted Oral Metabolites in Non-Small Cell Lung Cancer Patients
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Study information
-
Quality control
- Retracted paper
- Contamination issues suspected
- Batch effect issues suspected
- Uncontrolled confounding suspected
- Results are suspect (various reasons)
- Tags applied
study design
Citation
PMID PubMed identifier for scientific articles.
DOI Digital object identifier for electronic documents.
URI
Authors
Zhang W, Luo J, Dong X, Zhao S, Hao Y, Peng C, Shi H, Zhou Y, Shan L, Sun Q, Li Y, Zhao X
Journal
Journal of Cancer
Year
2019
An increasing number of studies have suggested the dysbiosis of salivary microbiome has been linked to the advancement of multiple diseases and proved to be helpful for the diagnosis of them. Although epidemiological studies of salivary microbiota in carcinogenesis are mounting, no systemic study exists regarding the oral microbiota of non-small cell lung cancer (NSCLC) patients. In this study, we presented the characteristics of the salivary microbiota in patients from NSCLC and healthy controls by sequencing of the 16S rRNA microbial genes. Our result revealed distinct salivary microbiota composition in patients from NSCLC compared to the healthy controls. As principal co-ordinates analysis (PCoA) showed, saliva samples clearly differed between the two groups, considering the weighted (p = 0.001, R2 = 0.17), and unweighted (p = 0.001, R2 = 0.25) UniFrac distance. Phylum Firmicutes (31.69% vs 24.25%, p < 0.05) and its two genera Veillonella (15.51%% vs 9.35%, p < 0.05) and Streptococcus (9.96% vs 6.83%, p < 0.05) were strongly increased in NSCLC group compared to the controls. Additionally, the relative abundances of Fusobacterium (3.06% vs 4.92%, p = 0.08), Prevotella (1.45% vs 3.52%, p < 0.001), Bacteroides (0.56% vs 2.24%, p < 0.001), and Faecalibacterium (0.21% vs 1.00%, p < 0.001) in NSCLC group were generally decreased. Furthermore, we investigated the correlations between systemic inflammation markers and salivary microbiota. Neutrophil-lymphocyte ratio (NLR) positively correlated with the Veillonella (r =0.350, p = 0.007) and lymphocyte-monocyte ratio (LMR) negatively correlated with Streptococcus (r =-0.340, p = 0.008). Additionally, Kyoto Encyclopedia of Genes and Genomes (KEGG) pathways inferred by phylogenetic investigation of communities by reconstruction of unobserved states (PICRUSt) showed that pathways related to xenobiotics biodegradation and metabolism (p < 0.05) and amino acid metabolism (p < 0.05) were enriched in the NSCLC group. Folate biosynthesis (p < 0.05) significantly decreased in NSCLC group. The specific correlations of clinical systemic inflammation markers and predicted KEGG pathways also could pronounce a broad understanding of salivary microbiota in patients with NSCLC. Moreover, our study extended the new sight into salivary microbiota-targeted interventions to clinically improve the therapeutic strategies for salivary dysbiosis in NSCLC patients. Further investigations of the potential mechanism of salivary microbiota in the progression of NSCLC are still in demand.
Experiment 1
Subjects
- Location of subjects
- China
- Host species Species from which microbiome was sampled (if applicable)
- Homo sapiens
- Body site Anatomical site where microbial samples were extracted from according to the Uber Anatomy Ontology
- Saliva Sailva normalis,Saliva atomaris,Saliva molecularis,Salivary gland secretion,Saliva
- Condition The experimental condition / phenotype studied according to the Experimental Factor Ontology
- lung cancer alveolar cell carcinoma,cancer of lung,lung cancer,lung cancer, protection against,lung neoplasm,malignant lung neoplasm,malignant lung tumor,malignant neoplasm of lung,malignant neoplasm of the lung,malignant tumor of lung,malignant tumor of the lung,Nonsmall cell lung cancer
- Group 0 name Corresponds to the control (unexposed) group for case-control studies
- healthy controls
- Group 1 name Corresponds to the case (exposed) group for case-control studies
- NSCLC
- Group 1 definition Diagnostic criteria applied to define the specific condition / phenotype represented in the case (exposed) group
- newly diagnosed NSCLC (non small cell lung cancer) patients
- Group 0 sample size Number of subjects in the control (unexposed) group
- 20
- Group 1 sample size Number of subjects in the case (exposed) group
- 39
- Antibiotics exclusion Number of days without antibiotics usage (if applicable) and other antibiotics-related criteria used to exclude participants (if any)
- 6 months
Lab analysis
- Sequencing type
- 16S
- 16S variable region One or more hypervariable region(s) of the bacterial 16S gene
- V1-V2
- Sequencing platform Manufacturer and experimental platform used for quantifying microbial abundance
- Illumina
Statistical Analysis
- Statistical test
- Metastats
- Significance threshold p-value or FDR threshold used for differential abundance testing (if any)
- 0.05
- MHT correction Have statistical tests be corrected for multiple hypothesis testing (MHT)?
- No
- Matched on Factors on which subjects have been matched on in a case-control study
- age, sex, body mass index
Alpha Diversity
- Shannon Estimator of species richness and species evenness: more weight on species richness
- increased
- Chao1 Abundance-based estimator of species richness
- unchanged
- Simpson Estimator of species richness and species evenness: more weight on species evenness
- increased
Signature 1
Needs review
Source: Figure 2
Description: Salivary microbial dysbiosis in non-small cell lung cancer
Abundance in Group 1: increased abundance in NSCLC
NCBI | Quality Control | Links |
---|---|---|
Actinomycetota | ||
Bacillota | ||
Pseudomonadota | ||
Aggregatibacter | ||
Rothia | ||
Leptotrichia | ||
Lautropia | ||
Streptococcus | ||
Veillonella |
Revision editor(s): WikiWorks
Signature 2
Needs review
Source: Figure 2
Description: Salivary microbial dysbiosis in non-small cell lung cancer
Abundance in Group 1: decreased abundance in NSCLC
NCBI | Quality Control | Links |
---|---|---|
Bacteroidota | ||
Faecalibacterium | ||
Bacteroides | ||
Prevotella | ||
Alloprevotella | ||
Porphyromonas |
Revision editor(s): WikiWorks
Experiment 2
Differences from previous experiment shown
Subjects
Lab analysis
Statistical Analysis
- Statistical test
- LEfSe
- LDA Score above Threshold for the linear discriminant analysis (LDA) score for studies using the popular LEfSe tool
- 4
Alpha Diversity
- Shannon Estimator of species richness and species evenness: more weight on species richness
- increased
- Chao1 Abundance-based estimator of species richness
- unchanged
- Simpson Estimator of species richness and species evenness: more weight on species evenness
- increased
Signature 1
Needs review
Source: Figure 3
Description: Salivary microbial dysbiosis in non-small cell lung cancer
Abundance in Group 1: increased abundance in NSCLC
NCBI | Quality Control | Links |
---|---|---|
Pseudomonadota | ||
Betaproteobacteria | ||
Burkholderiales | ||
Bacilli | ||
Streptococcaceae | ||
Streptococcus | ||
Lactobacillales | ||
Burkholderiaceae | ||
Lautropia |
Revision editor(s): WikiWorks
Signature 2
Needs review
Source: Figure 3
Description: Salivary microbial dysbiosis in non-small cell lung cancer
Abundance in Group 1: decreased abundance in NSCLC
NCBI | Quality Control | Links |
---|---|---|
Porphyromonadaceae | ||
Prevotella | ||
Prevotella melaninogenica | ||
Prevotellaceae | ||
Bacteroidota | ||
Bacteroidia | ||
Bacteroidales |
Revision editor(s): WikiWorks
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