A biobank of patient-derived pediatric brain tumor models

Sebastian Brabetz1,2,3, Sarah E S Leary4,5, Susanne N Gröbner1,2

  • 1Hopp Children's Cancer Center, NCT Heidelberg (KiTZ), Heidelberg, Germany.

Nature Medicine
|October 24, 2018
PubMed

Insights

Researchers created new preclinical models for pediatric brain tumors, reflecting diverse tumor types. These models accurately represent patient tumors and will aid in developing targeted therapies for childhood brain cancer.

Area of Science:

  • Pediatric Oncology
  • Cancer Genomics
  • Translational Research

Background:

  • Pediatric brain tumors are a major cause of cancer mortality in children.
  • Genomic insights have identified molecular subgroups and drivers, suggesting new therapeutic avenues.
  • Effective evaluation of novel treatments requires preclinical models that capture tumor heterogeneity.

Purpose of the Study:

  • To generate and characterize patient-derived orthotopic xenograft (PDOX) models and cell lines for pediatric brain tumors.
  • To assess the fidelity of these models in representing the original human tumors.
  • To establish a resource for studying pediatric brain tumor biology and testing therapeutics.

Main Methods:

  • Generation of 30 PDOX models and seven cell lines from pediatric brain tumors through the Children's Oncology Group ACNS02B3 study.
  • Comprehensive characterization including histology, immunohistochemistry, gene expression, DNA methylation, copy number analysis, and mutational profiling.
  • Evaluation of in vivo drug sensitivity in relation to molecular subgroups and genetic alterations.

Main Results:

  • The generated PDOX models and cell lines represent 14 distinct molecular subgroups of pediatric brain tumors.
  • Models demonstrated high fidelity to patient tumors across multiple molecular and histological levels.
  • In vivo drug sensitivity correlated with specific molecular subgroups and genetic alterations, validating targeted therapeutic potential.

Conclusions:

  • The developed preclinical models are highly representative of pediatric brain tumor heterogeneity.
  • These models offer a valuable resource for investigating oncogenic drivers in pediatric brain tumors.
  • The findings support the use of these models for evaluating novel therapeutic strategies against childhood brain cancers.

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