Abstract 4891: Paired metagenomic profiling reveals site-specific microbial composition and conserved diversity in the oral cavity of head and neck cancer patients

Abstract Background: The extent to which microbial diversity and composition vary across oral subsites within an individual remains poorly defined, limiting the reproducibility of microbiome-based biomarkers and the standardization of sampling strategies. We investigated compositional and diversity differences between paired tonsil and saliva samples to characterize microbial ecology across oral compartments in HNC patients. Methods: Paired tonsil and saliva samples were collected from 25 patients diagnosed with head and neck squamous cell carcinoma (NCT05142033) (median age = 63 years [IQR 53-73]; 76% male, 96% White). The cohort included 68% oral cavity, 20% oropharyngeal, 8% laryngeal, and 4% cutaneous primaries. Shotgun metagenomic sequencing was performed on all samples. Beta diversity was assessed using paired permutational multivariate analysis of variance (PERMANOVA) on Bray-Curtis dissimilarity matrices with restricted permutations to account for individual variation. Species-level differential abundance was tested using paired Wilcoxon signed-rank tests with false discovery rate (FDR) correction. Additionally, alpha diversity metrics were compared between sites. Results: Microbial composition differed significantly between tonsil and saliva samples (PERMANOVA: F=1.00, R2=2.0%, p=0.001). Twenty species showed significant abundance differences after FDR correction (q<0.05). Fifteen species were increased in saliva versus tonsils, including Rothia aeria (FDR=0.004), Actinomyces naeslundii (FDR=0.008), and Streptococcus sanguinis (FDR=0.009). Five species decreased in saliva, including Prevotella scopos, Prevotella jejuni, and Campylobacter concisus. Despite compositional differences, alpha diversity metrics were equivalent between sites (Shannon index: tonsil 3.73±0.59 vs saliva 3.71±0.70, p=0.565; observed species: 3135±1567 vs 3251±1228, p=0.708). Individual-level differences in evenness significantly correlated with compositional dissimilarity (Spearman rho=0.450, p=0.024), indicating that diversity and composition co-vary within individuals. Conclusions: Tonsil and saliva harbor distinct microbial communities yet maintain equivalent species diversity levels. This pattern demonstrates niche conservatism in the oral cavity. The paired study design was essential for detecting these differences, as massive individual variation dominated over site-specific effects. These findings have implications for understanding oral microbiome ecology in head and neck cancer and suggest that sampling site selection is critical for microbiome-based biomarker discovery. Citation Format: Jada Tschetter, Rachel Elsey, McKenna Perrin, David Starks, Benjamin Solomon, William Spanos, Sarah Viet, Cody Silvernail, Jason L. Petersen, Erik A. Ehli, Tobias Meissner, Casey T. Finnicum. Paired metagenomic profiling reveals site-specific microbial composition and conserved diversity in the oral cavity of head and neck cancer patients [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2026; Part 1 (Regular Abstracts); 2026 Apr 17-22; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2026;86(7 Suppl):Abstract nr 4891.

Authors

Institutions

Publication Details

Journal
Cancer Research
Published
2026-04-03
DOI
https://doi.org/10.1158/1538-7445.am2026-4891
Primary Topic
Head and Neck Cancer Studies
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Abstract 4891: Paired metagenomic profiling reveals site-specific microbial composition and conserved diversity in the oral cavity of head and neck cancer patients

Rachel Elsey, Erik A. Ehli, Jason L. Petersen, David Starks et al.
Cancer Research
Head and Neck Cancer Studies
article

Abstract 4891: Paired metagenomic profiling reveals site-specific microbial composition and conserved diversity in the oral cavity of head and neck cancer patients

Rachel Elsey, Erik A. Ehli, Jason L. Petersen, David Starks, Jada N. Tschetter, Casey T. Finnicum, Sarah Viet, Cody Silvernail, McKenna Perrin, Tobias Meissner, Benjamin Solomon, William Spanos
article en

Abstract

Abstract Background: The extent to which microbial diversity and composition vary across oral subsites within an individual remains poorly defined, limiting the reproducibility of microbiome-based biomarkers and the standardization of sampling strategies. We investigated compositional and diversity differences between paired tonsil and saliva samples to characterize microbial ecology across oral compartments in HNC patients. Methods: Paired tonsil and saliva samples were collected from 25 patients diagnosed with head and neck squamous cell carcinoma (NCT05142033) (median age = 63 years [IQR 53-73]; 76% male, 96% White). The cohort included 68% oral cavity, 20% oropharyngeal, 8% laryngeal, and 4% cutaneous primaries. Shotgun metagenomic sequencing was performed on all samples. Beta diversity was assessed using paired permutational multivariate analysis of variance (PERMANOVA) on Bray-Curtis dissimilarity matrices with restricted permutations to account for individual variation. Species-level differential abundance was tested using paired Wilcoxon signed-rank tests with false discovery rate (FDR) correction. Additionally, alpha diversity metrics were compared between sites. Results: Microbial composition differed significantly between tonsil and saliva samples (PERMANOVA: F=1.00, R2=2.0%, p=0.001). Twenty species showed significant abundance differences after FDR correction (q<0.05). Fifteen species were increased in saliva versus tonsils, including Rothia aeria (FDR=0.004), Actinomyces naeslundii (FDR=0.008), and Streptococcus sanguinis (FDR=0.009). Five species decreased in saliva, including Prevotella scopos, Prevotella jejuni, and Campylobacter concisus. Despite compositional differences, alpha diversity metrics were equivalent between sites (Shannon index: tonsil 3.73±0.59 vs saliva 3.71±0.70, p=0.565; observed species: 3135±1567 vs 3251±1228, p=0.708). Individual-level differences in evenness significantly correlated with compositional dissimilarity (Spearman rho=0.450, p=0.024), indicating that diversity and composition co-vary within individuals. Conclusions: Tonsil and saliva harbor distinct microbial communities yet maintain equivalent species diversity levels. This pattern demonstrates niche conservatism in the oral cavity. The paired study design was essential for detecting these differences, as massive individual variation dominated over site-specific effects. These findings have implications for understanding oral microbiome ecology in head and neck cancer and suggest that sampling site selection is critical for microbiome-based biomarker discovery. Citation Format: Jada Tschetter, Rachel Elsey, McKenna Perrin, David Starks, Benjamin Solomon, William Spanos, Sarah Viet, Cody Silvernail, Jason L. Petersen, Erik A. Ehli, Tobias Meissner, Casey T. Finnicum. Paired metagenomic profiling reveals site-specific microbial composition and conserved diversity in the oral cavity of head and neck cancer patients [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2026; Part 1 (Regular Abstracts); 2026 Apr 17-22; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2026;86(7 Suppl):Abstract nr 4891.

Cancer ResearchVol. 86(7_Supplement)
University of South Dakota (US), Avera McKennan Hospital & University Health Center (US)
Openalex Percentile: Top 30%
Head and Neck Cancer Studies
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.