The impact of radiation therapy variables on pediatric high-grade glioma outcomes: A National Cancer Database analysis.


Journal

Pediatric blood & cancer
ISSN: 1545-5017
Titre abrégé: Pediatr Blood Cancer
Pays: United States
ID NLM: 101186624

Informations de publication

Date de publication:
Jan 2024
Historique:
revised: 23 09 2023
received: 24 02 2023
accepted: 17 10 2023
medline: 24 11 2023
pubmed: 8 11 2023
entrez: 8 11 2023
Statut: ppublish

Résumé

The purpose of this analysis is to report patterns of care for pediatric patients with high-grade glioma (pHGG) and evaluate the impact of radiotherapy (RT) variables on outcomes using the National Cancer Database (NCDB). Eligibility criteria included age < 22 years, histologically diagnosed WHO grade III-IV gliomas treated with ≥50 Gy and < 76 Gy RT between 2004 and 2013, and RT initiation within 90 days of diagnosis. RT variables including RT dose, RT timing, and RT modality were analyzed along with baseline demographic, tumor, and treatment variables to assess the impact on overall survival. A total of 498 pHGG patients were included. The median age was 15 years (range, 0-21), common diagnoses were astrocytoma (55%) and glioblastoma (30%), 73.5% underwent surgical resection and 90.2% received chemotherapy. The median RT dose was 59.4 Gy (SD 2.9 Gy) starting at a median of 4.4 weeks from diagnosis (SD 2.5 weeks). Fourteen patients were treated with proton therapy. Median follow-up was 19.6 months with 1- and 3-year overall survival of 78.4% and 40.4%, respectively. On multivariable analysis, female gender, older age, and RT delay of ≥6 weeks were significantly associated with a lower rate of death; glioblastoma histology, no surgical resection/biopsy only, and earlier RT initiation < 6 weeks from diagnosis were associated with a higher rate of death. There was no relationship between RT dose or proton versus photon therapy and overall survival. Outcomes for pHGG are poor. There was no benefit to early RT timing when RT is initiated within 90 days of diagnosis or higher RT dose in this dataset.

Identifiants

pubmed: 37937991
doi: 10.1002/pbc.30751
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

e30751

Subventions

Organisme : NIH HHS
Pays : United States
Organisme : NIH HHS
Pays : United States

Informations de copyright

© 2023 Wiley Periodicals LLC.

Références

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Auteurs

Christopher Williamson (C)

Department of Radiation Oncology, Winship Cancer Institute of Emory University, Atlanta, Georgia, USA.

Shayla Williamson (S)

Department of Biostatistics and Bioinformatics, Winship Cancer Institute of Emory University, Atlanta, Georgia, USA.

Renjian Jiang (R)

Department of Biostatistics and Bioinformatics, Winship Cancer Institute of Emory University, Atlanta, Georgia, USA.

Lisa Sudmeier (L)

Department of Radiation Oncology, Winship Cancer Institute of Emory University, Atlanta, Georgia, USA.

Natia Esiashvili (N)

Department of Radiation Oncology, Winship Cancer Institute of Emory University, Atlanta, Georgia, USA.

Bree R Eaton (BR)

Department of Radiation Oncology, Winship Cancer Institute of Emory University, Atlanta, Georgia, USA.

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