Dataset Information

Microbial Changes Associated With Oral Cavity Cancer Progression.

ABSTRACT:

Objective

To examine the oral microbiome in the context of oral cavity squamous cell carcinoma.

Study design

Basic science research.

Setting

Academic medical center.

Methods

Oral swabs were collected from patients presenting to the operating room for management of oral cavity squamous cell carcinoma and from age- and sex-matched control patients receiving surgery for unrelated benign conditions. 16S ribosomal RNA (rRNA) sequencing was performed on genetic material obtained from swabs. A bacterial rRNA gene library was created and sequence reads were sorted into taxonomic units.

Results

Thirty-one control patients (17 males) and 35 cancer patients (21 males) were enrolled. Ages ranged from 23 to 89 (median 63) for control patients and 35 to 86 (median 66) for cancer patients. Sixty-one percent of control patients and 63% of cancer patients were smokers. 16S analyses demonstrated a significant decrease in Streptococcus genera in oral cancer patients (34.11% vs 21.74% of the population, p = .04). Increases in Fusobacterium, Peptostreptococcus, Parvimonas, and Neisseria were also found. The abundance of these bacteria correlated with tumor T-stage.

Conclusion

16S rRNA sequencing demonstrated changes in bacterial populations in oral cavity cancer and its progression compared to noncancer controls. We found increases in bacteria genera that correspond with tumor stage-Fusobacteria, Peptostreptococcus, Parvimonas, Neisseria, and Treponema. These data suggest that oral cancer creates an environment to facilitate foreign bacterial growth, rather than implicating a specific bacterial species in carcinogenesis. These bacteria can be employed as a potential marker for tumor progression or interrogated to better characterize the tumor microenvironment.

SUBMITTER: Yan K

PROVIDER: S-EPMC10213157 | biostudies-literature | 2023 Jun

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Microbial Changes Associated With Oral Cavity Cancer Progression.

Yan Kenneth K Auger Samuel S Diaz Ashley A Naman Julia J Vemulapalli Ramya R Hasina Rifat R Izumchenko Evgeny E Shogan Benjamin B Agrawal Nishant N

Otolaryngology--head and neck surgery : official journal of American Academy of Otolaryngology-Head and Neck Surgery 20230124 6

<h4>Objective</h4>To examine the oral microbiome in the context of oral cavity squamous cell carcinoma.<h4>Study design</h4>Basic science research.<h4>Setting</h4>Academic medical center.<h4>Methods</h4>Oral swabs were collected from patients presenting to the operating room for management of oral cavity squamous cell carcinoma and from age- and sex-matched control patients receiving surgery for unrelated benign conditions. 16S ribosomal RNA (rRNA) sequencing was performed on genetic material ob ...[more]

PMID: 36939272

Similar Datasets

Project description:ImportanceThe association and interaction of host characteristics with prognosis in patients with oral cavity squamous cell carcinoma (OSCC) are poorly understood. There is increasing evidence that host characteristics are associated with treatment outcomes of many cancers.ObjectivesTo examine the host factors associated with prognosis in patients with OSCC and their interactions to create a numerical index that quantifies the prognostic capacity of these host characteristics.Design, setting, and participantsThis retrospective cohort study included patients with OSCC treated surgically at a tertiary care center from January 1, 1998, to December 31, 2015. From a departmental OSCC database of 1377 previously untreated patients, 68 patients with missing data on any host variable of interest within a month before the start of treatment were excluded, leaving 1309 patients. Data analysis was performed from October 21, 2019, to December 10, 2019.ExposurePrimary surgery for OSCC.Main outcomes and measuresOverall survival (OS) was the primary end point, and disease-specific survival (DSS) was the secondary end point. Optimal cutoffs for each variable were identified using recursive-partitioning analysis with the classification and regression tree method using OS as the dependent variable. Body mass index (BMI) and pretreatment peripheral blood leukocyte count, platelet count, hemoglobin level, and albumin level were analyzed. A host index (H-index) was developed using independent factors associated with OS.ResultsA total of 1309 patients (731 [55.8%] male; mean [SD] age, 62 [14.3] years) participated in the study. When including all the host-related factors in a multivariable analysis, all except BMI (hazard ratio [HR], 1.14; 95% CI, 0.80-1.63) were independently associated with outcomes. For example, compared with a hemoglobin level of 14.1 g/dL or greater, the HR for a level of 12.9 to 14.0 g/dL was 1.42 (95% CI, 1.13-1.77) and for a level of 12.8 g/dL or less was 1.51 (95% CI, 1.18-1.94), and compared with an albumin level of 4.3 g/dL or greater, the HR for a level of 3.7 to 4.2 g/dL was 1.18 (95% CI, 0.95-1.45) and for a level of 3.6 g/dL or less was 3.64 (95% CI, 2.37-5.58). An H-index of 1.4 or less was associated with a 74% 5-year OS, an H-index of 1.5 to 3.5 with a 65% 5-year OS, and an H-index of 3.6 or higher with a 38% 5-year OS; for DSS, the 5-year survival was 84%, 80%, and 64%, respectively. Compared with patients with an H-index score of 1.4 or less, patients with H-index scores of 1.5 to 3.5 (hazard ratio, 1.474; 95% CI, 1.208-1.798) and 3.6 or higher (hazard ratio, 3.221; 95% CI, 2.557-4.058) had a higher risk of death.Conclusions and relevanceThe findings suggest that pretreatment values of neutrophils, monocytes, lymphocytes, hemoglobin, and albumin are independently associated with prognosis in patients with OSCC. The interactions between these host factors were incorporated into a novel H-index that quantified the prognostic capacity of host characteristics associated with OSCC.

Dataset Information

Microbial Changes Associated With Oral Cavity Cancer Progression.

Objective

Study design

Setting

Methods

Results

Conclusion

Publications

Microbial Changes Associated With Oral Cavity Cancer Progression.

Similar Datasets

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