Dana-Farber Team Develops Open-Access Predictive Tool to Improve Monitoring of Smoldering Multiple Myeloma

The tool, called PANGEA-SMM, outperforms existing predictive tools by more accurately determining when smoldering multiple myeloma is progressing and requires treatment. The free online tool can be used immediately to monitor patients.

By
March 24, 2026
5 min

Dana-Farber

Objective:

To develop a predictive tool that accurately determines when smoldering multiple myeloma progresses to active cancer.

Key Findings:

PANGEA-SMM outperforms existing predictive tools by using dynamic lab results.
It can accurately identify high-risk patients needing early treatment and spare low-risk patients from unnecessary interventions.
The tool remains accurate without requiring full medical histories or invasive procedures.

Interpretation:

PANGEA-SMM represents a significant advancement in monitoring smoldering multiple myeloma, facilitating timely treatment decisions and improving patient outcomes.

Limitations:

Further research is needed to refine the tool and determine optimal monitoring frequency.
The tool's effectiveness in diverse populations beyond the studied cohort remains to be validated.

Conclusion:

PANGEA-SMM is a promising, accessible tool for clinicians to monitor smoldering multiple myeloma, enhancing risk stratification and treatment planning.

Dana-Farber Team Develops Open-Access Predictive Tool to Improve Monitoring of Smoldering Multiple Myeloma

Objective:

Key Findings:

Interpretation:

Limitations:

Conclusion:

Original Source(s)

Dana-Farber Team Develops Open-Access Predictive Tool to Improve Monitoring of Smoldering Multiple Myeloma

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