Dysbiosis of the Salivary Microbiome Is Associated With Non-smoking Female Lung Cancer and Correlated With Immunocytochemistry Markers
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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
Yang J, Mu X, Wang Y, Zhu D, Zhang J, Liang C, Chen B, Wang J, Zhao C, Zuo Z, Heng X, Zhang C, Zhang L
Journal
Frontiers in oncology
Year
2018
Keywords:
biomarker, dysbiosis, lung cancer, non-smoking female patient, salivary microbiome
Background: Association between oral bacteria and increased risk of lung cancer have been reported in several previous studies, however, the potential association between salivary microbiome and lung cancer in non-smoking women have not been evaluated. There is also no report on the relationship between immunocytochemistry markers and salivary microbiota. Method: In this study, we assessed the salivary microbiome of 75 non-smoking female lung cancer patients and 172 matched healthy individuals using 16S rRNA gene amplicon sequencing. We also calculated the Spearman's rank correlation coefficient between salivary microbiota and three immunohistochemical markers (TTF-1, Napsin A and CK7). Result: We analyzed the salivary microbiota of 247 subjects and found that non-smoking female lung cancer patients exhibited oral microbial dysbiosis. There was significantly lower microbial diversity and richness in lung cancer patients when compared to the control group (Shannon index, P < 0.01; Ace index, P < 0.0001). Based on the analysis of similarities, the composition of the microbiota in lung cancer patients also differed from that of the control group (r = 0.454, P < 0.001, unweighted UniFrac; r = 0.113, P < 0.01, weighted UniFrac). The bacterial genera Sphingomonas (P < 0.05) and Blastomonas (P < 0.0001) were relatively higher in non-smoking female lung cancer patients, whereas Acinetobacter (P < 0.001) and Streptococcus (P < 0.01) were higher in controls. Based on Spearman's correlation analysis, a significantly positive correlation can be observed between CK7 and Enterobacteriaceae (r = 0.223, P < 0.05). At the same time, Napsin A was positively associated with genera Blastomonas (r = 0.251, P < 0.05). TTF-1 exhibited a significantly positive correlation with Enterobacteriaceae (r = 0.262, P < 0.05). Functional analysis from inferred metagenomes indicated that oral microbiome in non-smoking female lung cancer patients were related to cancer pathways, p53 signaling pathway, apoptosis and tuberculosis. Conclusions: The study identified distinct salivary microbiome profiles in non-smoking female lung cancer patients, revealed potential correlations between salivary microbiome and immunocytochemistry markers used in clinical diagnostics, and provided proof that salivary microbiota can be an informative source for discovering non-invasive lung cancer biomarkers.
Experiment 1
Reviewed Marked as Reviewed by Claregrieve1 on 2022/11/11
Subjects
- Location of subjects
- China
- Host species Species from which microbiome was sampled. Contact us to have more species added.
- 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,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,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
- non-smoking female lung cancer patients
- Group 1 definition Diagnostic criteria applied to define the specific condition / phenotype represented in the case (exposed) group
- female and have confirmed diagnosis of non-small-cell lung cancer
- Group 0 sample size Number of subjects in the control (unexposed) group
- 172
- Group 1 sample size Number of subjects in the case (exposed) group
- 75
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
- LEfSe
- 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
- LDA Score above Threshold for the linear discriminant analysis (LDA) score for studies using the popular LEfSe tool
- 3
- Matched on Factors on which subjects have been matched on in a case-control study
- age, sex, smoking status
Alpha Diversity
- Shannon Estimator of species richness and species evenness: more weight on species richness
- decreased
- Richness Number of species
- decreased
Signature 1
Reviewed Marked as Reviewed by Claregrieve1 on 2022/11/11
Source: Figure 5
Description: Differentially abundant taxa between lung cancer and control groups
Abundance in Group 1: increased abundance in non-smoking female lung cancer patients
Revision editor(s): WikiWorks, Claregrieve1
Signature 2
Reviewed Marked as Reviewed by Claregrieve1 on 2022/11/11
Source: Figure 5
Description: Differentially abundant taxa between lung cancer and control groups
Abundance in Group 1: decreased abundance in non-smoking female lung cancer patients
Revision editor(s): Claregrieve1, WikiWorks
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