National cancer database analysis of outcomes in pediatric glioblastoma

Meng Liu1,2, Jigisha P Thakkar3, Catherine R Garcia2

  • 1Division of Cancer Biostatistics, University of Kentucky, Lexington, Kentucky.

Cancer Medicine
|March 14, 2018
PubMed

Insights

Pediatric glioblastoma is aggressive with no standard therapy. Multimodal treatment including surgery, radiation, and chemotherapy improves survival in children, with younger patients showing better outcomes.

Area of Science:

  • Pediatric Oncology
  • Neuro-oncology
  • Cancer Epidemiology

Background:

  • Glioblastoma in children presents a significant therapeutic challenge due to its aggressive nature and lack of a standardized treatment protocol.
  • Understanding demographic and survival patterns is crucial for improving care for pediatric glioblastoma patients.

Purpose of the Study:

  • To analyze demographic characteristics, treatment patterns, and survival outcomes of pediatric glioblastoma patients.
  • To identify factors influencing survival in children diagnosed with glioblastoma.

Main Methods:

  • Retrospective analysis of 1173 pediatric glioblastoma patients (0-19 years) diagnosed between 1998 and 2011.
  • Data sourced from the National Cancer Database, including patient demographics, tumor characteristics, treatment modalities (surgery, radiation, chemotherapy), and survival data.
  • Statistical comparisons of survival rates based on age, race, tumor location, and treatment combinations.

Main Results:

  • Patients aged ≤5 years demonstrated better 5-year survival compared to older age groups (6-10 and 11-19 years).
  • Multimodal therapy (surgery, radiotherapy, chemotherapy) was associated with significantly better outcomes than other treatment combinations.
  • Radiotherapy showed a survival benefit for patients aged 11-19 years, but not for those younger than 10 years.

Conclusions:

  • Treatment including surgery, radiotherapy, and chemotherapy is associated with improved survival in pediatric glioblastoma.
  • Age is a significant prognostic factor, with younger children experiencing better survival.
  • Variations in treatment receipt and potential differences in tumor biology may explain observed survival disparities.

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