7 research outputs found
An inhibitor of proteasome beta 2 sites sensitizes myeloma cells to immunoproteasome inhibitors
Bio-organic Synthesi
CRISPR-Based Dual-Knockout Screens Reveals Network of Interactions between Key Dependencies for Myeloma Cells and Highlights IRF4 As a Central Regulator of Myeloma Cell Behavior
CRISPR-Based Functional Genomics Studies Reveal Distinct and Overlapping Genes Mediating Resistance to Different Classes of Heterobifunctional Degraders of Oncoproteins: Implications for Novel Therapeutics across Diverse Neoplasias
Functional Genomics Identify Distinct and Overlapping Genes Mediating Resistance to Different Classes of Heterobifunctional Degraders of Oncoproteins
Genome-scale CRISPR gene editing studies by Shirasaki et al. reveal which genes confer myeloma cell resistance to PROTACs that leverage different E3 ligases to degrade various oncoproteins. The study provides a framework for sequential/alternating versus combined use of PROTACs, depending on which E3 ligase and oncoprotein they engage
Genome-scale functional genomics identify genes preferentially essential for multiple myeloma cells compared to other neoplasias
Clinical progress in multiple myeloma (MM), an incurable plasma cell (PC) neoplasia, has been driven by therapies that have limited applications beyond MM/PC neoplasias and do not target specific oncogenic mutations in MM. Instead, these agents target pathways critical for PC biology yet largely dispensable for malignant or normal cells of most other lineages. Here we systematically characterized the lineage-preferential molecular dependencies of MM through genome-scale clustered regularly interspaced short palindromic repeats (CRISPR) studies in 19 MM versus hundreds of non-MM lines and identified 116 genes whose disruption more significantly affects MM cell fitness compared with other malignancies. These genes, some known, others not previously linked to MM, encode transcription factors, chromatin modifiers, endoplasmic reticulum components, metabolic regulators or signaling molecules. Most of these genes are not among the top amplified, overexpressed or mutated in MM. Functional genomics approaches thus define new therapeutic targets in MM not readily identifiable by standard genomic, transcriptional or epigenetic profiling analyses