Pediatric B-ALL Proteomic Profiles with BMI Influence Analysis

39 pediatric B-cell acute lymphoblastic leukemia (B-ALL) patients and 41 age- and sex-matched controls had serum protein expression measured using OLink panels. The dataset contains normalized protein expression data for 239 assays, with 128 differing significantly by B-ALL diagnosis and 4 varying by body mass index. Rachel S. Werk published this dataset on figshare in 2026 under a CC-BY-4.0 license.

Use Cases

• Identify protein biomarkers for pediatric B-ALL based on the 128 assays that differed significantly by diagnosis.
• Investigate the influence of elevated BMI on immune-related protein expression, focusing on the four significant assays (APLP1, CDHR5, GHRL, SEZ6L).
• Analyze the unique expression pattern of the oncology marker furin in pediatric B-ALL patients with high BMI, as described in the study.
• Perform unsupervised hierarchical clustering or principal component analysis on normalized protein expression data clustered by patient information.

Strengths

• Includes matched controls (n=41) for the patient cohort (n=39), allowing for comparative analysis.
• Measures protein expression across 239 specific assays, providing a detailed proteomic profile.
• Data is normalized and structured for analysis methods like hierarchical clustering and PCA, as mentioned in the description.

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 (16.9 KB), indicating a limited scope and sample size.

Provenance

Source

figshare, author Rachel S. Werk.

Collection Method

Protein expression measured in serum samples using OLink panels.

Freshness

Last updated 2026-04-28 07:59:04; freshness should be verified.