Development of an RNA sequencing‐based prognostic gene signature in multiple myeloma
Author:
Affiliation:
1. Department of Clinical Science Faculty of Veterinary Medicine Shahid Bahonar University of Kerman Kerman Iran
2. Department of Clinical Pathology Faculty of Veterinary Medicine University of Tehran Tehran Iran
Publisher
Wiley
Subject
Hematology
Link
https://onlinelibrary.wiley.com/doi/pdf/10.1111/bjh.16744
Reference76 articles.
1. International Staging System for Multiple Myeloma
2. Combining information regarding chromosomal aberrations t(4;14) and del(17p13) with the International Staging System classification allows stratification of myeloma patients undergoing autologous stem cell transplantation
3. A validated gene expression model of high-risk multiple myeloma is defined by deregulated expression of genes mapping to chromosome 1
4. Prediction of Survival in Multiple Myeloma Based on Gene Expression Profiles Reveals Cell Cycle and Chromosomal Instability Signatures in High-Risk Patients and Hyperdiploid Signatures in Low-Risk Patients: A Study of the Intergroupe Francophone du Myélome
5. A gene expression signature for high-risk multiple myeloma
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1. Radiomic nomogram for predicting high-risk cytogenetic status in multiple myeloma based on fat-suppressed T2-weighted magnetic resonance imaging;Journal of Bone Oncology;2024-08
2. Identification of Therapy-Induced Clonal Evolution and Resistance Pathways in Minimal Residual Clones in Multiple Myeloma through Single-Cell Sequencing;Clinical Cancer Research;2024-06-20
3. Enhancing prognostic power in multiple myeloma using a plasma cell signature derived from single-cell RNA sequencing;Blood Cancer Journal;2024-03-06
4. Comprehensive analysis of thirteen-gene panel with prognosis value in Multiple Myeloma;Cancer Biomarkers;2023-12-15
5. RNA-sequencing based first choice of treatment and determination of risk in multiple myeloma;Frontiers in Immunology;2023-11-15
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