A dataset supporting research on VCAM1's role in glioma progression. It includes data from human glioma datasets and mouse models correlating VCAM1 expression with survival outcomes. The dataset was authored by Jiajing Dai and last updated on April 24, 2026.
Use Cases
- Correlating VCAM1 expression levels with patient survival outcomes based on clinical data mentioned in the description
- Analyzing co-expression patterns of VCAM1 with markers like SOX2, CD133, and Ki67 based on results from mouse models
- Investigating the impact of astrocytic VCAM1 deletion on tumor growth and survival in different glioma models
- Studying the heterogeneity of VCAM1's therapeutic effect across tumor locations and genetic backgrounds
Strengths
- Includes specific quantitative results, such as 86.5% of SOX2+ cells co-expressing VCAM1 in the 73C model
- Provides concrete survival data, such as median survival extending from 52 to 66.5 days in a GL261 model
- Integrates data from both human clinical datasets and multiple mouse glioma models
Limitations
- Column-level documentation is absent; field semantics must be inferred after download
- Row count is unknown, which may limit suitability assessment
- The dataset is 10.4 KB, indicating a very limited scope
Provenance
- Source
- figshare
- Collection Method
- Likely contains experimental results from evaluating VCAM1 expression in human datasets and mouse models.
- Freshness
- Last updated 2026-04-24 04:22:59; freshness should be verified