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4862 Baseline Salivary Microbiota Predicts Severe Oral Mucositis after Allogeneic Hematopoietic Cell Transplantation

Program: Oral and Poster Abstracts
Session: 721. Allogeneic Transplantation: Conditioning Regimens, Engraftment, and Acute Toxicities: Poster III
Hematology Disease Topics & Pathways:
Research, Clinical Research, Biological Processes, Microbiome
Monday, December 9, 2024, 6:00 PM-8:00 PM

Armin Rashidi, MD, PhD1, Hakan Gem, DDS, PhD2*, Maryam Ebadi, MD3, Gale Sebastian, DDS4*, Rania Abasaeed, DDS4*, Samuel Minot, PhD5*, Michele Lloid4* and David R Dean, DDS4*

1Clinical Research Division, Fred Hutchinson Cancer Center, Seattle, WA
2School of Dentistry, University of Washington, Seattle, WA
3Department of Radiation Oncology, University of Washington and Fred Hutch Cancer Center, Seattle, WA
4Department of Oral Medicine, Fred Hutchinson Cancer Center, Seattle, WA
5Microbiome Research Initiative, Vaccine and Infectious Disease Division, Fred Hutchinson Cancer Center, Seattle, WA

Oral mucositis (OM) is a common early complication of allogeneic hematopoietic cell transplantation (alloHCT), causing pain, infections, swallowing/speech impairment, and prolonged hospitalization. As there are no approved prophylactic or therapeutic approaches for alloHCT-associated OM, management remains supportive and limited largely to narcotic analgesics, ice chips, and total parenteral nutrition. A better understanding of OM pathogenesis may yield novel targets for intervention. We hypothesized that the oral microbiota may mediate OM pathogenesis.

We conducted a prospective single-center study including longitudinal mucositis assessment using the Oral Mucositis Assessment Scale (OMAS) and multi-site oral sample collection by calibrated oral medicine specialists. Mucositis assessment was performed at baseline, day +7, day +14, day +21, day +28, and day +84. Total mucositis score (range 0-45) at each timepoint was calculated as the sum of all scores (ulceration and erythema) across all sites and used to classify OM severity (total score ≤ median vs. > median across all examinations). Saliva (baseline and days +14, +28, and +84), supragingival plaque (baseline and days +14, +28, and +84), and subgingival plaque (baseline) samples underwent shotgun metagenomic sequencing, targeting a sequencing depth of 20M read pairs per sample. MetaPhlAn4 was used for species-level taxonomic assignment. MaAsLin2 (Microbiome Multivariable Association with Linear Models) was used to identify microbiota predictors of OM severity at days +7, +14, and +21. Species abundances in different oral sites at the same or the closest preceding OM assessment timepoint for the same patient were included in the model. A significance threshold of 0.05 was considered for P values, or Benjamini-Hochberg q values in case of multiple testing.

Fifty-two patients were enrolled (median age 43, M:F ratio 1). Despite the original plan at the time of consent, 9 patients received reduced-intensity conditioning due to newly discovered comorbidities; these patients were included. Mucositis severity increased rapidly until day +7, followed by a slower rise to a peak at day +14. It then rapidly improved until day +21. Further improvement occurred until day +28, followed by complete resolution by day +84 in most patients. Significant clinical predictors of worse OM were male sex for day +7 (P = 0.01), myeloablative conditioning for day +14 (P = 0.01), older age for day +21 (P = 0.01), and diseases other than acute leukemia for day +84 (P = 0.03). Salivary flow rate was not associated with OM (Wilcoxon’s P for baseline, day +14, day +28, and day +84 timepoints: 0.47, 0.68, 0.30, and 0.80, respectively).

A total of 455 samples were analyzed. The strongest associations were between day +14 OM and baseline salivary microbiota: Prevotella nanceiensis (more severe OM; q = 0.07), an unclassified actinomyces species (sp. ph3) (less severe OM; q = 0.007), and an unclassified schaalia species (SGB17158, less severe OM; q = 0.07). A composite baseline salivary score calculated as Prevotella nanceiensis - (Actinomyces sp. ph3 + Schaalia SGB17158) was significantly higher in patients with more vs. less severe OM at day +14 (P = 2x10-5), with a high prediction accuracy (AUC 85%; 95%CI 75%-96%). This score was not associated with other baseline characteristic such as age (P = 0.69), sex (P = 0.78), disease (P = 0.34), salivary flow rate (P = 0.24), or exposure to antibiotics with ≥10% exposure rate within 2 weeks before the baseline sample (P for TMP-SMX and fluoroquinolones 0.25 and 0.73, respectively). When the same score was calculated at different timepoints, no change was apparent over time, despite post-HCT antibiotic exposures and other microbiota insults.

In summary, we have found a predictive biomarker of OM after alloHCT using baseline salivary microbiota. The score identified here is a remarkably stable, intrinsic, subject-level characteristic of the oral microbiota, predisposing the patient to more severe OM. This finding introduces novel opportunities targeting the microbiota to prevent OM.

Disclosures: Rashidi: Seres Therapeutics: Consultancy; Emmes DSMB: Membership on an entity's Board of Directors or advisory committees.

*signifies non-member of ASH