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

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

Share

  • 1

    PANGEA-SMM is a new predictive tool that improves monitoring of smoldering multiple myeloma by dynamically assessing patient lab results.

  • 2

    The tool identifies high-risk patients who need treatment while sparing low-risk patients from unnecessary interventions.

  • 3

    PANGEA-SMM utilizes four dynamic biomarkers, including M-protein and light chains, to predict disease progression more accurately.

  • 4

    The tool performs well even without complete medical histories or invasive bone marrow biopsies, facilitating continuous risk assessment.

  • 5

    PANGEA-SMM is freely available online for immediate use in patient monitoring and can be compared with existing predictive models.

Original Source(s)

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

  • by

  • March 24, 2026

Related Content

Ultra-high-sensitivity next-generation sequencing–based MRD predicts outcome in intensively treated older patients with acute myeloid leukemia: results from the ALFA-1200 cohort

Identification of immunosuppressive neutrophils using multi-omics: why functional testing remains key

Evolution of therapeutic paradigms in Hodgkin lymphoma: from “cure-oriented” to “functional cure”