Rhabdomyosarcoma in children: a SEER population based study

Eduardo A Perez1, Noor Kassira, Michael C Cheung

  • 1Division of Pediatric Surgery and Division of Surgical Oncology, DeWitt Daughtry Family Department of Surgery, University of Miami Miller School of Medicine, Miami, Florida, USA.

Insights

Pediatric rhabdomyosarcoma (RMS) incidence is 0.44/100,000 annually. Embryonal RMS, common in young children, shows better survival rates than other types, especially with early diagnosis and surgical resection.

Area of Science:

  • Pediatric Oncology
  • Cancer Epidemiology
  • Tumor Biology

Background:

  • Rhabdomyosarcoma (RMS) is a rare pediatric soft tissue sarcoma.
  • Understanding its incidence and outcomes is crucial for improving patient care.
  • Histological subtypes and patient demographics significantly influence prognosis.

Purpose of the Study:

  • To determine the incidence of pediatric rhabdomyosarcoma (RMS).
  • To analyze the outcomes and survival rates associated with pediatric RMS.
  • To identify prognostic factors influencing mortality in pediatric RMS patients.

Main Methods:

  • Utilized the Surveillance, Epidemiology, and End Results (SEER) registry.
  • Included patients diagnosed with RMS under 20 years of age.
  • Conducted univariate and multivariate analyses to identify predictors of mortality.

Main Results:

  • Identified 1544 pediatric RMS cases with an incidence of 0.44/100,000 annually.
  • Embryonal RMS (67%) was more common in younger children, while alveolar and pleomorphic types were more frequent in adolescents.
  • 5- and 10-year survival rates were 60% and 57%, respectively; factors like age < 10, localized disease, and embryonal type improved survival.

Conclusions:

  • Embryonal rhabdomyosarcoma (RMS) is the most common pediatric subtype, presenting in younger children with a better prognosis.
  • Favorable outcomes are associated with embryonal histology, favorable tumor location, age under 10, localized disease, and surgical resection.
  • Non-embryonal type, unfavorable sites, lack of surgery, older age, and distant disease independently predict higher mortality.
Abstract

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