ctDNA improves prognostic prediction for patients with relapsed/refractory MM receiving ixazomib, lenalidomide, and

Yasunori Kogure1, Hiroshi Handa2, Yuta Ito1,3

  • 1Division of Molecular Oncology, National Cancer Center Research Institute, Tokyo, Japan.

Blood
|March 1, 2024
PubMed

Insights

Circulating tumor DNA (ctDNA) mutations, especially TP53 and KRAS, are superior to bone marrow plasma cell mutations for predicting outcomes in relapsed/refractory multiple myeloma (RRMM). The number of ctDNA mutations offers a powerful prognostic tool.

Area of Science:

  • Genomics and Precision Medicine
  • Hematologic Malignancies
  • Molecular Diagnostics

Background:

  • Prognostic implications of driver mutations in circulating tumor DNA (ctDNA) remain unclear in relapsed/refractory multiple myeloma (RRMM).
  • Understanding genetic alterations in ctDNA is crucial for personalized treatment strategies in RRMM.

Purpose of the Study:

  • To investigate the prognostic value of driver mutations detected in ctDNA and bone marrow plasma cells (BMPCs) in RRMM patients.
  • To establish a prognostic index based on ctDNA mutations for improved outcome prediction in RRMM.

Main Methods:

  • Targeted-capture sequencing of BMPCs and ctDNA from 261 RRMM patients treated with ixazomib, lenalidomide, and dexamethasone.
  • Analysis of recurrently mutated genes, including TP53, KRAS, DIS3, BRAF, NRAS, and ATM, in relation to progression-free survival (PFS).
  • Development and validation of a prognostic index incorporating ctDNA mutations, plasma DNA concentration, and clinical factors.

Main Results:

  • 47 recurrently mutated genes were detected in ctDNA, with TP53 mutations being most frequent (59.2% of mutated cases).
  • ctDNA mutations in KRAS, TP53, DIS3, BRAF, NRAS, and ATM were associated with worse PFS.
  • A total number of ctDNA mutations in 6 key genes strongly predicted PFS, outperforming BMPC mutations and clinical factors alone.
  • The developed prognostic index effectively categorized patients into distinct risk groups with varying 2-year PFS rates.

Conclusions:

  • ctDNA mutations, particularly their quantity, provide superior prognostic information compared to BMPC mutations in RRMM.
  • TP53 and KRAS mutations can emerge during therapy, highlighting the dynamic nature of clonal evolution.
  • The novel prognostic index offers a valuable tool for risk stratification and guiding treatment decisions in RRMM.