Glioblastoma Patient Survival Data with Clinical, Genetic, and Tumor Features

57 patients with glioblastoma were treated at the General University Hospital of Castellon, Spain. The dataset includes clinical, tumor-specific, and genetic factors analyzed for their impact on overall and progression-free survival using Kaplan–Meier analysis. It was authored by Julia L. Gutiérrez-Arroyo and last updated in March 2026.

Use Cases

• Survival prediction modeling based on clinical variables like age, sex, and BMI.
• Analyzing the impact of genetic mutations in EGFR, TP53, and CDKN2A on disease outcome.
• Investigating the relationship between tumor spatial characteristics, such as proximity to the ventricular system, and patient survival.
• Comparing treatment efficacy based on variables like extent of surgical resection and use of radiotherapy or chemotherapy.

Strengths

• Includes 57 patient records with a defined set of clinical, tumor, and genetic variables.
• Focuses on IDH-wildtype glioblastoma per the 2021 WHO classification, providing a specific molecular subtype.
• Data is licensed under CC-BY-4.0, allowing for open reuse and modification.

Limitations

• Row count is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• The dataset is small at 27.0 KB, indicating a limited scope and sample size.

Provenance

Source

figshare, authored by Julia L. Gutiérrez-Arroyo.

Collection Method

Retrospective study of patient records.

Time Range

null

Freshness

Last updated 2026-03-18 07:40:49; freshness should be verified.

Geography

Patients treated at the General University Hospital of Castellon, Spain.