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Expert Panel Consensus Statement for Proper Evaluation of First Relapse in Multiple Myeloma.

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This study defines aggressive multiple myeloma (MM) relapse criteria to guide treatment selection. Classifying relapses as aggressive or non-aggressive aids in choosing optimal therapies for patients with MM.

Keywords:
Aggressive myelomaManagement of relapsed myelomaMultiple myelomaRefractory plasma cell malignancy

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Area of Science:

  • Hematology
  • Oncology
  • Clinical Medicine

Background:

  • Multiple myeloma (MM) relapse management is complex due to diverse presentations and numerous treatment options.
  • Distinguishing between aggressive and non-aggressive relapse is crucial for effective therapeutic decision-making.

Purpose of the Study:

  • To assess multiple myeloma relapse presentations and define criteria for aggressive disease.
  • To establish if classifying relapse as aggressive or non-aggressive can aid in treatment selection for MM.
  • To integrate this classification into a therapeutic algorithm for first relapse management.

Main Methods:

  • A working group of six expert physicians convened to discuss and define features of aggressive vs. non-aggressive multiple myeloma relapse.
  • Established criteria for aggressive relapse, including rapid M protein doubling, renal insufficiency, hypercalcemia, extramedullary disease, elevated LDH, high plasma cell proliferation, circulating plasma cells, or skeletal complications.
  • Incorporated this classification into a new therapeutic algorithm for MM management at first relapse.

Main Results:

  • Defined aggressive multiple myeloma relapse based on specific clinical indicators.
  • Agreed that classifying relapse as aggressive or non-aggressive, alongside patient, disease, and prior therapy characteristics, is useful for treatment selection.
  • Developed a new therapeutic algorithm incorporating this classification to guide MM management at first relapse.

Conclusions:

  • A practical classification of multiple myeloma relapses into aggressive or non-aggressive categories is beneficial.
  • This classification, integrated into a decisional algorithm, can help mitigate the risk of inappropriate treatment decisions in MM first relapse.
  • The classification aids in selecting appropriate therapies by considering disease characteristics, patient factors, and prior treatment history.