Molecular Profile of Two Granular Cell Astrocytoma Cases

Two granular cell astrocytoma (GCA) case reports from a clinical neuropathology department, published by Melanie Jensen in 2026. The 19.5 KB document integrates clinical, histopathological, and molecular data, including DNA methylation profiling and sequencing results, to demonstrate that these rare tumors correspond to the aggressive mesenchymal subtype of IDH-wildtype glioblastoma.

Use Cases

• Classifying rare brain tumor variants based on integrated molecular and histopathological data described in the report.
• Studying the correlation between tumor morphology and aggressive clinical behavior based on the two detailed case histories.
• Identifying molecular markers, such as NF1 variants and chromosome +7/-10, for glioblastoma subtypes as outlined in the results.
• Guiding clinical trial enrollment decisions for rare gliomas based on the molecular profiling approach discussed in the conclusion.

Strengths

• Includes detailed molecular profiling data for two cases, such as DNA methylation classification, targeted sequencing, and whole genome sequencing.
• Provides integrated clinical, intraoperative, and histopathological data for each patient, including specific ages (63 and 54) and treatment outcomes.
• Released under a permissive CC-BY-4.0 license, facilitating reuse and sharing.

Limitations

• Row count is unknown, which may limit suitability assessment; the dataset is a small document describing only two cases.
• Column-level documentation is absent; field semantics must be inferred after download from the DOCX file.
• The data reflects a very limited sample size of two cases from a single department, which may not be generalizable.

Provenance

Source

figshare, authored by Melanie Jensen.

Collection Method

Clinical case report integrating data from a neuropathology department.

Time Range

Case reports from an unspecified time period, published in 2026.

Freshness

Last updated 2026-05-04 05:01:13.

Geography

Location of the clinical department is unknown.