de Boussac H, Bruyer A, Jourdan M, Maes A, Robert N, Gourzones C, Vincent L, Seckinger A, Cartron G, Hose D, De Bruyne E, Kassambara A, Pasero P, Moreaux J. Kinome expression profiling to target new therapeutic avenues in multiple myeloma. Haematologica. 2019. Download the PDF
Summary of the Study
To identify kinase-based vulnerabilities in multiple myeloma (MM), this study profiled the kinome expression landscape across large patient cohorts and developed a clinically relevant Kinome Index (KI).
- Identified 36 kinase-related genes significantly associated with patient prognosis
- Built a Kinome Index stratifying patients by risk, proliferation, and likelihood of relapse
- High KI scores correlated with aggressive disease features
Functional validation involved:
- Targeting 7 key kinases with specific inhibitors in MM cell lines
- Demonstrated enhanced cytotoxicity and synergy with conventional drugs (e.g., Melphalan, Lenalidomide)
- Identified CHK1i, MELKi, PBKi, DBF4i as potential options for overcoming drug resistance
In this study, Alboukadel Kassambara contributed to the gene expression data analysis, linking kinome profiles with clinical outcomes, building the Kinome Index prognostic score and contributed to the identification of kinase targets with therapeutic potential.
Citation
Publication: In Haematologica
Date: July 9, 2019
Type: Journal Article
PDF: Download the PDF
Scientific Contributions
Here are more scientific abstracts authored or co-authored by Alboukadel Kassambara. These contributions span computational biology, bioinformatics, biostatistics, machine learning, and multi-omics, with a focus on immuno-oncology and translational research.
