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Multiple Myeloma Patient Similarity Network Identifies Genetic Features and Potential Targeted Therapies in High-Risk Subgroups

  • Cancer Network
  • New York, NY
  • (January 13, 2022)

Alessandro Lagana, PhD, discusses his study determining that the co-occurrence of t(4;14) and 1q gain was effective at identifying newly diagnosed patients with multiple myeloma who were at high risk of relapse.

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