High-Throughput Drug Screening and Multi-Omic Analysis to Guide Individualized Treatment for Multiple Myeloma

David G Coffey1,2,3, Andrew J Cowan1,2, Bret DeGraaff2

  • 1Clinical Research Division, Fred Hutchinson Cancer Research Center, Seattle, WA.

Insights

High-throughput screening of 170 compounds accurately predicted treatment response in relapsed or refractory multiple myeloma (MM). This assay-guided therapy led to stable disease or better in 92% of patients, informing personalized treatment decisions.

Area of Science:

  • Hematology
  • Oncology
  • Genetics

Background:

  • Multiple myeloma (MM) is a complex cancer with varied responses to treatment.
  • Predictive biomarkers for tailoring therapy in relapsed or refractory MM are lacking.
  • Existing treatments offer limited ability to personalize care for individual patients.

Purpose of the Study:

  • To evaluate ex vivo, high-throughput screening (HTS) of 170 compounds for predicting treatment response in relapsed or refractory MM.
  • To integrate HTS with multi-omic analysis to identify associations between drug sensitivity and molecular profiles.
  • To guide subsequent treatment decisions for patients with relapsed or refractory MM.

Main Methods:

  • Collected bone marrow or soft tissue biopsies from 25 patients with relapsed or refractory MM.
  • Performed HTS on plasma cells from 16 patients.
  • Conducted targeted next-generation sequencing, RNA sequencing, and whole-exome sequencing on plasma cells.

Main Results:

  • HTS results were available within 5 days, identifying actionable treatment options for all 16 patients.
  • 92% of 13 patients receiving assay-guided therapy achieved stable disease or better.
  • Correlations were found between gene expression (105 genes) and mutations (12 genes) and in vitro drug cytotoxicity.

Conclusions:

  • Ex vivo drug sensitivity testing on patient plasma cells is feasible for informing therapy in relapsed or refractory MM.
  • This approach can guide the next line of treatment for individual patients.
  • The study demonstrates the potential for personalized medicine in MM treatment.