Age distribution and age-related outcomes of olfactory neuroblastoma: a population-based analysis

Abstract

ObjectiveThe objective of the study was to describe the age distribution and to evaluate the role of prognostic value of age on survival in patients diagnosed with olfactory neuroblastoma (ONB). A population-based retrospective analysis was conducted.Materials and methodsThe population-based study of patients in the Surveillance, Epidemiology, and End Results (SEER) tumor registry, who were diagnosed with ONB from 1973 to 2014, were retrospectively analyzed.ResultsThe cohort included 876 patients with a median age of 54 years. There was a unimodal distribution of age and ONBs most frequently occurred in the fifth to sixth decades of life. Kaplan–Meier analysis demonstrated overall survival (OS) and cancer-specific survival (CSS) rates of 69% and 78% at 5 years. Multivariable Cox regression analysis showed that age, SEER stage, and surgery were independent prognostic factors for CSS. The risk of overall death and cancer-specific death increased 3.1% and 1.6% per year, respectively. Patients aged >60 years presented significantly poor OS and CSS compared with patients aged ≤60 years, even in patients with loco-regional disease or in those treated with surgery.ConclusionThis study highlights the growing evidence that there is a unimodal age distribution of ONB and that age is an important adverse prognostic factor.

Pattern of loco‐regional relapses and treatment in pediatric esthesioneuroblastoma: The French very rare tumors group (Fracture) contribution

“…The only Kadish A tumor in our series was related to an early incidental diagnosis (brain computed tomography [brain‐CT] scan performed for cranial trauma). In adults, this staging system remains a significant predictor of survival . Our results confirmed this observation showing that patients with high‐stage tumors (Kadish C‐D) have a significantly worse prognosis than patients with low‐stage tumors (Kadish A‐B), 5‐year OS 100.0% versus 28.6 ± 12.1% (log‐rank P = .032).…”

“…However, the relevance of a modified Kadish classification is still under debate . Indeed, Kadish C tumors constitute a very heterogeneous group related by their extension beyond paranasal sinuses, but without discrimination regarding involved anatomic sites . In our study, we observed 10 local recurrences in the initial Kadish C tumor with involvement of the anterior cerebral fossa and, among them, six with meningeal progressions.…”

“…Our results confirmed this observation showing that patients with high‐stage tumors (Kadish C‐D) have a significantly worse prognosis than patients with low‐stage tumors (Kadish A‐B), 5‐year OS 100.0% versus 28.6 ± 12.1% (log‐rank P = .032). However, the relevance of a modified Kadish classification is still under debate . Indeed, Kadish C tumors constitute a very heterogeneous group related by their extension beyond paranasal sinuses, but without discrimination regarding involved anatomic sites .…”

“…+ RT = 2 Neo CT + S + Adj CT + RT = 2 S + RT + Adj CT = 1 Neo CT + S = CT + S + RT = 7 S + RT = 1 S + Adj CT + RT = 1 Neo CT + S + Adj CT + RT = + S + RT = 5 CT + RT = 3 S + CT = + RT + CT = 7 CT + S + RT = 5 S = 4 RT + CT = 2 S + RT = Neo CT + S + RT = 4 Neo CT + S + Adj CT + RT = 3 S + RT = 3 Neo CT + S = 2 Neo CT + RT = 1 Neo CT + RT + Adj CT = CT, adjuvant chemotherapy; CT, chemotherapy; EFS, event-free survival; F, female; M, male; NA, not available; Neo CT, neoadjuvant chemotherapy; OS, overall survival; RT, radiotherapy; S, surgery.without discrimination regarding involved anatomic sites [39][40][41][42]. In our study, we observed 10 local recurrences in the initial Kadish C tumor with involvement of the anterior cerebral fossa and, among them, six with meningeal progressions.…”

Prognostic significance of age related genes in patients with lower grade glioma

“…With the increasing of age, somatic mutations are accumulating, contributing to the high incidence of cancer in older adults [1][2][3][4]. Moreover, old tumor patients demonstrate different histological characteristics and prognostic outcomes as compared with young tumor patients [5][6][7][8][9][10][11][12]. Those observations highlight the prognostic importance of age of tumor patients at initial pathologic diagnosis.…”