CoMMpass: Longitudinal Genomic and Clinical Data for Multiple Myeloma Patients

The Multiple Myeloma Research Foundation's CoMMpass study is a longitudinal observational dataset tracking approximately 1000 newly diagnosed patients over 8 years. The Center for Translational Data Science at The University of Chicago hosts the data, which includes genetic profiles, tissue samples, quality of life measures, and clinical outcomes collected at 6-month intervals. This dataset represents one of the largest genomic and clinical collections for a single disease.

Use Cases

• Predict treatment response based on longitudinal clinical outcomes and genetic profiles.
• Model disease progression over time using the 8-year, 6-month interval observation data.
• Identify genomic biomarkers associated with patient outcomes from the genetic information.
• Analyze correlations between quality of life measures and various disease outcomes.

Strengths

• Approximately 1000 patient records, creating a substantial cohort for a single disease.
• Longitudinal data collected every 6 months for an 8-year period.
• Integrates multiple data types: genomic, clinical, tissue samples, and quality of life.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• Last update date is unknown; freshness unverified.

Provenance

Source

Multiple Myeloma Research Foundation (MMRF)

Collection Method

Longitudinal observational study of patients receiving standard approved treatments.

Time Range

8-year study duration with 6-month checkpoints.

Freshness

null

Geography

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