PulseExploreJournal ClubDebatesTrendingResearchersJournals
Instagram
HomeExploreJournal ClubTrending
Synapse
⌘+K
Synapse
March 3, 2020Blood Advances81 citationsOpen Access

Integrative analysis of the genomic and transcriptomic landscape of double-refractory multiple myeloma

View Full Paper
BZBachisio ZicchedduGBGiulia BianconFBFilippo Bagnoli

Key Points

  • This study aims to analyze genomic and transcriptomic changes in double-refractory multiple myeloma patients.
  • Analyzed 42 patients refractory to both proteasome inhibitors and immunomodulatory agents.
  • Conducted whole-exome sequencing on 40 patients and RNA sequencing on 27.
  • Identified mutations and their relationships to chemotherapy resistance and karyotypic events.
  • Found ongoing evolution of the genome with more mutations than those reported at diagnosis.
  • Inactivation of the TP53 pathway occurred in 45% of patients.
  • Identified a novel target for treatment linked to CCND2 upregulation and MCL1 overexpression, seen in 65% of patients.

Abstract

In multiple myeloma, novel treatments with proteasome inhibitors (PIs) and immunomodulatory agents (IMiDs) have prolonged survival but the disease remains incurable. At relapse, next-generation sequencing has shown occasional mutations of drug targets but has failed to identify unifying features that underlie chemotherapy resistance. We studied 42 patients refractory to both PIs and IMiDs. Whole-exome sequencing was performed in 40 patients, and RNA sequencing (RNA-seq) was performed in 27. We found more mutations than were reported at diagnosis and more subclonal mutations, which implies ongoing evolution of the genome of myeloma cells during treatment. The mutational landscape was different from that described in published studies on samples taken at diagnosis. The TP53 pathway was the most frequently inactivated (in 45% of patients). Conversely, point mutations of genes associated with resistance to IMiDs were rare and were always subclonal. Refractory patients were uniquely characterized by having a mutational signature linked to exposure to alkylating agents, whose role in chemotherapy resistance and disease progression remains to be elucidated. RNA-seq analysis showed that treatment or mutations had no influence on clustering, which was instead influenced by karyotypic events. We describe a cluster with both amp(1q) and del(13) characterized by CCND2 upregulation and also overexpression of MCL1, which represents a novel target for experimental treatments. Overall, high-risk features were found in 65% of patients. However, only amp(1q) predicted survival. Gene mutations of IMiD and PI targets are not a preferred mode of drug resistance in myeloma. Chemotherapy resistance of the bulk tumor population is likely attained through differential, yet converging evolution of subclones that are overall variable from patient to patient and within the same patient.

Ask AI
Helpful
Bookmark
Share
View Full Paper

Cite This Study

Ziccheddu et al. (2020) studied this question.

synapsesocial.com/papers/6a0ce0928e74c010b61f5934https://doi.org/10.1182/bloodadvances.2019000779
Ask AI
Helpful
Bookmark
Share
View Full Paper