AHNS Abstract: AHNS37

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Program Number: AHNS37
Session Name: Scientific Session 7 - HPV-negative Mucosal Disease
Session Date: Thursday, May 15, 2025
Session Time: 3:15 PM - 4:15 PM

Distinct bacterial signatures and metagenomic alterations associated with lymph node metastasis in laryngeal cancer

David R Hoying, BS1; Xi Qiao, PhD1; Akeesha Shah, MD2; Radhika Duggal, BS1; Jin Dai, PhD2; Nandini Rajaram Siva, MD1; August Culbert, BS1; Travis Kerr2; Kristianna Fredenburg, MD, PhD3; Apollo Stacy, PhD2; Adam Burgener, PhD1; Jamie Ku, MD2; Joseph Scharpf, MD2; Brandon Prendes, MD2; Eric Lamarre, MD2; Danielle Botallico, MD2; Jacob Miller, MD2; Shlomo Koyfman, MD2; Neil Woody, MD2; Shauna Campbell, MD2; Jessica Geiger2; Tamara Sussman, MD2; Tim Chan, MD, PhD2; Liangliang Zhang, PhD1; Daniel McGrail, PhD2; Natalie Silver, MD2; 1Case Western Reserve University; 2Cleveland Clinic; 3University of Florida

Background: While the bacterial microbiome associated with oral cavity squamous cell carcinoma has been extensively investigated, the role of intratumoral bacteria in laryngeal squamous cell carcinoma (LSCC) remains less understood. This study seeks to explore the relationships between intratumoral bacteria in LSCC and clinicopathologic features.

Methods: DNA was extracted from 45 laryngeal tumors and 27 adjacent normal tissue samples from 18 patients with early-stage (stage 1-2) and 27 patients with advanced-stage (stage 3-4) LSCC treated between 2009 and 2020. Bacterial 16S rRNA gene (V4 region) sequencing (Zymo Inc.) was performed on formalin-fixed, paraffin-embedded (FFPE) samples. Due to the challenges posed by FFPE, including DNA fragmentation and degradation, we used optimized DNA isolation protocols, appropriate controls, and downstream computational pipelines for filtering bacterial contaminants. Microbial community composition was compared across clinical stages using α- and β-diversity metrics after rarefaction. Differential abundance analysis was conducted using ANCOMBC, adjusting for multiple testing with a false discovery rate (pFDR) threshold of 0.05. Functional profile predictions were predicted using PICRUSt2.

Results: In the advanced-stage group (N=27), the supraglottis was the most commonly affected subsite (66.7%), while the majority of early-stage tumors (N=18) were glottic (78%). The most abundant genera in the cohort were Streptococcus (11.95%), Corynebacterium (8.15%), Prevotella (6.57%), Lactobacillus (5.74%), Staphylococcus (4.32%), and Fusobacterium (4.13%). There were no significant differences in α-diversity between the tumor and adjacent normal tissues, but β-diversity was significantly different (Unifrac, p < 0.05). Among advanced-stage patients, those with lymph node metastasis showed increased α-diversity (chao1, p < 0.01) and β-diversity (Unifrac, p = 0.03) compared to those without metastasis. Fusobacterium was significantly more abundant in tumors with lymph node involvement (LogFC = 2.43, pFDR < 0.05), while Proteobacteria was decreased (LogFC = -1.68, pFDR < 0.05). Metagenomic functional predictions indicated enrichment of glycerolipid metabolism pathways in patients with lymph node metastasis (pFDR < 0.05).

Conclusions:  This study provides a comprehensive profile of the intratumoral bacterial microbiome in LSCC, highlighting increased bacterial diversity in advanced-stage tumors with lymph node involvement. The elevated abundance of opportunistic pathogen Fusobacterium and decreased Proteobacteria, along with enriched glycerolipid metabolism, suggest that bacterial communities in the tumor microenvironment may play a role in LSCC metastasis. These findings could indicate that the unique bacterial communities found in the microenvironment of LSCC influence metastasis via bacterial metabolic products. Further mechanistic studies are needed to determine the potential role of pathogenic bacteria in promoting lymph node metastasis in patients with LSCC.

 

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