Selinexor, a novel inhibitor for multiple myeloma (MM), faces limited research on resistance. Heterogeneous nuclear ribonucleoprotein U (hnRNPU) was identified as a regulator impacting MM’s response to selinexor. Comparing control knockdown (CTR-KD) and hnRNPU knockdown (hnR-KD) MM cells revealed increased selinexor-induced cell death in hnR-KD cells in vitro and in mice. Lower hnRNPU expression correlated with positive patient response to selinexor. hnRNPU’s role involves influencing LTV1, NMD3 localization, and mRNA translation of MDM2 and RAN, key factors in XPO1-mediated nuclear export. These findings suggest hnRNPU could serve as a potential marker for categorizing MM patients for Selinexor use.
Related Posts
BigRNA: Transforming Genomic Data into RNA Insights
Exciting News in Genetics! Introducing BigRNA, a groundbreaking deep learning model that predicts RNA expression and uncovers genetic interactions. In a recent study, BigRNA showcased unparalleled accuracy in identifying RNA-seq defects, including splicing anomalies, from genomic DNA datasets. Researchers observed impressive correlations, especially in brain tissues, and validated its potential in diagnosing hereditary diseases. BigRNA’s […]
Multi-Omics Approach for Short-Term COVID-19 Progression Prediction in ICU Patients
The study developed a multi-omics approach to predict short-term COVID-19 progression in ICU patients. Analyzing data from 32 SARS-CoV-2-infected patients, including 124 clinical parameters, 271 proteins, and 782 metabolites/lipids, it identified CCL7, CA14 proteins, and hexosylceramide 18:2 as key markers. A machine learning model accurately forecasted worsening conditions up to five days in advance (79% […]
Genetic Discovery Could Lead to Personalized Treatments for Inflammation
Researchers have discovered a genetic change that increases the risk of inflammation, carried by up to 3% of the global population. This study could lead to better personalized treatments for inflammation and other diseases in the future. Source: – https://www.sciencedaily.com/releases/2023/10/231002184441.htm Share via: Facebook X (Twitter) LinkedIn More