Drug response prediction in high-risk multiple myeloma

  • A. J. Vangsted
  • , S. Helm-Petersen
  • , J. B. Cowland
  • , P. B. Jensen
  • , P. Gimsing
  • , B. Barlogie
  • , S. Knudsen

Research output: Contribution to journalArticlepeer-review

11 Scopus citations

Abstract

A Drug Response Prediction (DRP) score was developed based on gene expression profiling (GEP) from cell lines and tumor samples. Twenty percent of high-risk patients by GEP70 treated in Total Therapy 2 and 3A have a progression-free survival (PFS) of more than 10 years. We used available GEP data from high-risk patients by GEP70 at diagnosis from Total Therapy 2 and 3A to predict the response by the DRP score of drugs used in the treatment of myeloma patients. The DRP score stratified patients further. High-risk myeloma with a predicted sensitivity to melphalan by the DRP score had a prolonged PFS, HR = 2.4 (1.2–4.9, P = 0.014) and those with predicted sensitivity to bortezomib had a HR 5.7 (1.2–27, P = 0.027). In case of predicted sensitivity to bortezomib, a better response to treatment was found (P = 0.022). This method may provide us with a tool for identifying candidates for effective personalized medicine and spare potential non-responders from suffering toxicity.

Original languageEnglish
Pages (from-to)80-86
Number of pages7
JournalGene
Volume644
DOIs
StatePublished - 20 Feb 2018

Keywords

  • Drug response prediction
  • High-risk
  • Multiple myeloma

Fingerprint

Dive into the research topics of 'Drug response prediction in high-risk multiple myeloma'. Together they form a unique fingerprint.

Cite this