Exploring the microbiome of oral epithelial dysplasia as a predictor of malignant progression
Ontology highlight
ABSTRACT:
ORGANISM(S): Homo sapiens
PROVIDER: GSE198811 | GEO | 2022/09/30
REPOSITORIES: GEO
Similar Datasets
Project description:Exploring the microbiome of oral epithelial dysplasia as a predictor of malignant progression
| PRJNA816925 | ENA
Project description:A growing body of research associates the oral microbiome and oral cancer. Well-characterized clinical samples with outcome data are required to establish relevant associations between the microbiota and disease. The objective of this study was to characterize the community variations and the functional implications of the microbiome in low-grade oral epithelial dysplasia (OED) using 16S rRNA gene sequencing from annotated archival swabs in progressing (P) and non-progressing (NP) OED. We characterised the microbial community in 90 OED samples - 30 swabs from low-grade OED that progressed to cancer (cases) and 60 swabs from low-grade OED that did not progress after a minimum of 5 years of follow up (matched control subjects). There were small but significant differences between P and NP samples in terms of alpha diversity as well as beta diversity in conjunction with other clinical factors such as age and smoking status for both taxa and functional predictions. Across all samples, the most abundant genus was Streptococcus, followed by Haemophilus, Rothia, and Neisseria. Taxa and predicted functions were identified that were significantly differentially abundant with progression status (all Ps and NPs), when samples were grouped broadly by the number of years between sampling and progression or in specific time to progression for Ps only. However, these differentially abundant features were typically present only at low abundances. For example, Campylobacter was present in slightly higher abundance in Ps (1.72%) than NPs (1.41%) and this difference was significant when Ps were grouped by time to progression. Furthermore, several of the significantly differentially abundant functions were linked to the Campylobacteraceae family in Ps and may justify further investigation. Larger cohort studies to further explore the microbiome as a potential biomarker of risk in OED are warranted.
| S-EPMC10080811 | biostudies-literature
Project description:Microbiome features of bronchopulmonary dysplasia
| PRJNA1105631 | ENA
Project description:Here we report a direct tRNA sequencing protocol and software to simultaneously examine the composition and biological activity of naturally occurring microbial communities. Our analysis of mouse gut microbiome with tRNA-seq and 16S ribosomal RNA gene amplicons revealed comparable microbial community structures, and additional physiological insights into the microbiome through tRNA abundance and modifications.
2018-11-09 | GSE100263 | GEO
Project description:The development of oral squamous cell carcinoma (OSCC) is a multistep process requiring the accumulation of genetic alterations. Oral carcinogenesis is a multifactorial process involving numerous genetic changes that affect the activity of oncogenes, tumor suppressor genes and other classes of disease-related genes.Therefore, to identify the responsive genes for progression of oral dysplasia or OSCC, we here performed CGH analysis to DNA from oral dysplasia and OSCC by microdissection Copy number analysis of Affymetrix 250K SNP arrays was performed for 8 oral dysplasia samples, 8 oral squamous cell carcinoma samples, using microdissection
2013-10-22 | E-GEOD-51265 | biostudies-arrayexpress
Project description:The development of oral squamous cell carcinoma (OSCC) is a multistep process requiring the accumulation of genetic alterations. Oral carcinogenesis is a multifactorial process involving numerous genetic changes that affect the activity of oncogenes, tumor suppressor genes and other classes of disease-related genes.Therefore, to identify the responsive genes for progression of oral dysplasia or OSCC, we here performed CGH analysis to DNA from oral dysplasia and OSCC by microdissection
2013-10-22 | GSE51265 | GEO
Project description:Azithromycin (AZM) reduces pulmonary inflammation and exacerbations in chronic obstructive pulmonary disease patients with emphysema. The antimicrobial effects of AZM on the lung microbiome are not known and may contribute to its beneficial effects. Methods. Twenty smokers with emphysema were randomized to receive AZM 250 mg or placebo daily for 8 weeks. Bronchoalveolar lavage (BAL) was performed at baseline and after treatment. Measurements included: rDNA gene quantity and sequence. Results. Compared with placebo, AZM did not alter bacterial burden but reduced α-diversity, decreasing 11 low abundance taxa, none of which are classical pulmonary pathogens. Conclusions. AZM treatment the lung microbiome Randomized trial comparing azithromycin (AZM) treatment with placebo for eight weeks. Bronchoalveolar lavage (BAL) samples were obtained before and after treatment to explore the effects of AZM on microbiome, in the lower airways. 16S rRNA was quantified and sequenced (MiSeq) The amplicons from total 39 samples are barcoded and the barcode is provided in the metadata_complete.txt file.
2016-07-19 | E-GEOD-74396 | biostudies-arrayexpress
Project description:In this paper, we first report that EC smoking significantly increases the odds of gingival inflammation. Then, we seek to identify and explain the mechanism that underlies the relationship between EC smoking and gingival inflammation via the oral microbiome. We performed mediation analyses to assess if EC smoking affects the oral microbiome, which in turn affects gingival inflammation. For this, we collected saliva and subgingival samples from EC users and non-users and profiled their microbial compositions via 16S rRNA amplicon sequencing. We then performed α-diversity, β-diversity, and taxonomic differential analyses to survey the disparity in microbial composition between EC users and non-users. We found significant increases in α-diversity in EC users and disparities in β-diversity between EC users and non-users.
2022-12-09 | GSE201949 | GEO
Project description:Oral malignancies are among the top most deadly cancers in the world. Early diagnosis of oral premalignant and malignant lesions is essential for treatment decision-making and prognosis improvement. In this study, we systematically evaluated the gene expression patterns during the pathogenesis of oral moderate dysplasia. RNA sequencing detected 21556 genes in moderate dysplasia and paired normal tissues from three patients. Hierarchical clustering analysis revealed distinct gene expression patterns between the moderate dysplasia samples. 346 differentially expressed genes that may contribute to the pathogenesis of moderate dysplasia were identified. Among these genes, ISG15 and MAGEA family showed different transcription profiles that close related with the alterations of gene expression patterns in moderate dysplasia samples and paired normal tissues. We speculated that, as the potential marker to signal the risk of malignant transformation, ISG15 and MAGEA together with their close related misexpressed genes may involve in two different pathways during the malignant conversion from oral dysplasia to oral squamous cell carcinoma.
2017-06-28 | GSE72627 | GEO
Project description:In a prior report, we observed two distinct lung microbiomes in healthy subjects that we termed â??pneumotypesâ??: pneumotypeSPT, characterized by high bacterial load and supraglottic predominant taxa (SPT) such as the anaerobes Prevotella and Veillonella; and pneumotypeBPT, with low bacterial burden and background predominant taxa (BPT) found in the saline lavage and bronchoscope. Here, we determined the prevalence of these two contrasting lung microbiome types, in a multi-center study of healthy subjects. We confirmed that a lower airway microbiome enriched with upper airway microbes (pneumotypeSPT) was present in ~45% of healthy individuals. Cross-sectional Multicenter cohort. BAL of 49 healthy subjects from three cohort had their lower airway microbiome assessed by 16S rDNA sequencing and microbial gene content (metagenome) was computationally inferred from taxonomic assignments. The amplicons from total 100 samples are barcoded; the barcode and other clinical characteristics (e.g. inflammatory biomarkers and metabolome data) for each sample are provided in the 'Pneumotype.sep.Map.A1.txt' file.
2016-03-29 | E-GEOD-74395 | biostudies-arrayexpress