Publication

Survival Associations between Patient Age and Treatment Modality in Olfactory Neuroblastoma: A Retrospective Population-Based Study

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Last modified
  • 05/23/2025
Type of Material
Authors
    Andre J. Burnham, Emory UniversityPhilip A. Burnham, University of VermontEdwin Horwitz, Emory University
Language
  • English
Date
  • 2021-06-01
Publisher
  • MDPI
Publication Version
Copyright Statement
  • © 2021 by the authors.
License
Final Published Version (URL)
Title of Journal or Parent Work
Volume
  • 10
Issue
  • 12
Grant/Funding Information
  • This research received no external funding.
Abstract
  • Olfactory neuroblastoma (ONB) is a rare neuroepithelial-derived malignancy that usually presents in the nasal cavity. The rarity of ONB has led to conflicting reports regarding associations of patient age and ONB survival and outcome. Moreover, long-term outcomes of chemotherapy and other treatment modalities are speculated. Here, we aimed to compare survival outcomes across age groups through time and determine associations between treatment modality and survival. In this retrospective population-based study, we analyzed the SEER 2000-2016 Database for patients with ONB tumors. Using Kaplan-Meier survival analysis, a significant effect of age and cancer-specific survival (CSS) was observed; geriatric ONB patients had the lowest CSS overall. Generalized linear models and survival analyses demonstrated that CSS of the pediatric patient population was similar to the geriatric group through 100 months but plateaued thereafter and was the highest of all age groups. Radiation and surgery were associated with increased CSS, while chemotherapy was associated with decreased CSS. GLM results showed that tumor grade, stage and lymph node involvement had no CSS associations with age or treatment modality. Our results provide insight for future investigations of long-term outcomes associated with ONB patient age and treatment modality, and we conclude that survival statistics of ONB patients should be analyzed in terms of trends through time rather than fixed in time.
Author Notes
Keywords
Research Categories
  • Biology, Neuroscience
  • Health Sciences, Oncology

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