Dysbiosis of the Salivary Microbiome Is Associated With Non-smoking Female Lung Cancer and Correlated With Immunocytochemistry Markers

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Reviewed Marked as Reviewed by Claregrieve1 on 2022/11/11
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

Curated date: 2021/01/10

Curator: WikiWorks

Revision editor(s): Claregrieve1, WikiWorks, Victoria

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

Data transformation Data transformation applied to microbial abundance measurements prior to differential abundance testing (if any).
relative abundances
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

Curated date: 2021/01/10

Curator: Rimsha Azhar

Revision editor(s): WikiWorks, Claregrieve1

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

NCBI Quality ControlLinks
Blastomonas
Flavobacteriales
Flavobacteriia
Herbaspirillum
Oxalobacteraceae
Pseudomonadota
Rhodocyclaceae
Sphingomonadaceae
Sphingomonadales
Sphingomonas
Weeksellaceae
Rhodocyclales

Revision editor(s): WikiWorks, Claregrieve1

Signature 2

Reviewed Marked as Reviewed by Claregrieve1 on 2022/11/11

Curated date: 2021/01/10

Curator: Rimsha Azhar

Revision editor(s): Claregrieve1, WikiWorks

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

NCBI Quality ControlLinks
Acinetobacter
Bacilli
Bacteroidota
Betaproteobacteria
Burkholderiales
Chryseobacterium
Comamonadaceae
Comamonas
Enterobacterales
Enterobacteriaceae
Bacillota
Lactobacillales
Streptococcaceae
Streptococcus
Lysobacteraceae
Lysobacterales
Pseudomonadaceae
unclassified Bacteroidota

Revision editor(s): Claregrieve1, WikiWorks