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Sustained response to erlotinib and rapamycin in a patient with pediatric anaplastic oligodendroglioma
Laura C Geben1,2, Bret C Mobley3,4, Asa A Brockman1
1Department of Cell & Developmental Biology, Vanderbilt University School of Medicine, Nashville, Tennessee.
Abstract:
One goal of precision medicine is to identify mutations within individual tumors to design targeted treatment approaches. This report details the use of genomic testing to select a targeted therapy regimen of erlotinib and rapamycin for a pediatric anaplastic oligodendroglioma refractory to standard treatment, achieving a 33-month sustained response. Immunohistochemical analysis of total and phosphorylated protein isoforms showed abnormal signaling consistent with detected mutations, while revealing heterogeneity in per-cell activation of signaling pathways in multiple subpopulations of tumor cells throughout the course of disease. This case highlights molecular features that may be relevant to designing future targeted treatments.
Insights
Genomic testing identified targeted therapies for a pediatric brain tumor. This precision medicine approach led to a sustained 33-month response in a patient with anaplastic oligodendroglioma.
Area of Science:
- Oncology
- Genomics
- Precision Medicine
Background:
- Precision medicine aims to tailor cancer treatments based on individual tumor mutations.
- Pediatric anaplastic oligodendroglioma often presents challenges with standard treatment protocols.
Observation:
- Genomic testing was employed to guide treatment selection for a refractory pediatric anaplastic oligodendroglioma.
- Immunohistochemical analysis revealed abnormal signaling pathways and tumor cell heterogeneity.
Findings:
- A targeted therapy regimen of erlotinib and rapamycin was administered based on genomic findings.
- The patient achieved a 33-month sustained response to the targeted treatment.
Implications:
- This case demonstrates the potential of genomic testing in selecting effective targeted therapies for rare pediatric cancers.
- Understanding tumor signaling heterogeneity is crucial for developing future precision oncology strategies.
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