Breast and Ovarian Cancer Immune Protein Profiles from Serum Samples

Azza Habel published a dataset profiling 81 immune-related proteins in serum samples from 57 breast cancer patients, 57 ovarian cancer patients, and 49 healthy controls. The data includes cytokines, chemokines, growth factors, and immune checkpoints, analyzed using multivariate and ROC curve methods. It was last updated on March 19, 2026.

Use Cases

• Identify shared diagnostic biomarkers for breast and ovarian cancer based on multiplex immunoassay data
• Evaluate diagnostic performance of combined protein panels based on ROC curve analyses
• Construct protein-protein interaction networks for immunotherapy target discovery based on STRING and Cytoscape results
• Train classification models to distinguish cancer patients from healthy controls based on 81 immune-related protein features

Strengths

• Includes 81 immune-related proteins per sample, covering cytokines, chemokines, growth factors, and immune checkpoints
• Contains data from 163 total samples (57 breast cancer, 57 ovarian cancer, 49 healthy controls)
• Analysis includes multivariate, ROC curve, and protein-protein interaction network methods

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 721.5 KB, indicating a limited scope

Provenance

Source

Azza Habel

Collection Method

Multiplex immunoassay profiling of serum samples

Freshness

Last updated 2026-03-19 12:19:10