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Updated: Jan 5, 2026

Live-3D-Cell Immunocytochemistry Assays of Pediatric Diffuse Midline Glioma
Published on: November 11, 2021
Evaluating pediatric spinal low-grade gliomas: a 30-year retrospective analysis
Steven S Carey1, Zsila Sadighi2, Shengjie Wu3
1Department of Oncology, St. Jude Children's Research Hospital, Memphis, TN, USA. steven.carey@stjude.org.
Purpose:
Most pediatric spinal tumors are low-grade gliomas (LGGs). Characterization of these tumors has been difficult given their heterogeneity and rare incidence. The objective was to characterize such tumors diagnosed at our institution.
Methods:
Spinal tumors diagnosed in our pediatric patients between 1984 and 2014 were reviewed retrospectively. Demographics, presentation, pathology, imaging, management, and sequelae were examined.
Results:
Forty patients had spinal LGG tumors, 24 (62%) of which were pilocytic astrocytomas. The most common initial presentations were pain (n = 15), partial extremity paralysis (n = 13), and ataxia (n = 11), with the diagnosis frequently delayed by months (median = 5.9 months, range 4 days-6.2 years). Twenty-nine patients had some tumor resection, and 8 required adjuvant therapy with chemotherapy (n = 4) or radiation (n = 4) post-resection. Ten other patients received only biopsy for histologic diagnosis, who were treated with chemotherapy (n = 4) or radiation (n = 5) post biopsy. Tumor progression was noted in 16 patients (2 after gross-total resection; 10, partial resection; and 4, biopsy). During the evaluation period, 3 patients died secondary to tumor progression. BRAF status could have shortened progression-free survival: patients with BRAFV600E mutations (n = 3) all experienced progression within 10 months. Long-term sequelae of the disease/treatment were mostly residual neurologic deficits (paresthesia, paralysis), chemotherapy-induced hearing loss, and scoliosis.
Conclusions:
Spinal LGG is a rare entity with significant long-term effects. Although surgery is the most common initial treatment option, more in-depth analysis of molecular biomarkers may improve stratification and prognostication.

