Venetoclax resistance leads to broad resistance to standard-of-care anti-MM agents, but not to immunotherapies.
Shuhui DengSanika DerebailVera Joy WeilerJessica Fong NgElena Maroto-MartinMadhumouli ChatterjeeGiulia GiorgettiChandraditya ChakrabortyPoonam KalhotraTing DuYao YaoRao PrabhalaMasood ShammasAnnamaria GullaAnil Aktas SamurMehmet Kemal SamurLugui QiuKenneth C AndersonMariateresa FulcinitiNikhil C MunshiPublished in: Blood advances (2024)
To our knowledge, venetoclax is the first example of personalized medicine for multiple myeloma (MM), with meaningful clinical activity as a monotherapy and in combination in patients with myeloma harboring the t(11:14) translocation. However, despite the high response rates and prolonged progression-free survival, a significant proportion of patients eventually relapse. Here, we aim to study adaptive molecular responses after the acquisition of venetoclax resistance in sensitive t(11:14) MM cell models. We therefore generated single-cell venetoclax-resistant t(11:14) MM cell lines and investigated the mechanisms contributing to resistance as well as the cells' sensitivity to other treatments. Our data suggest that acquired resistance to venetoclax is characterized by reduced mitochondrial priming and changes in B-cell lymphoma-2 (BCL-2) family proteins' expression in MM cells, conferring broad resistance to standard-of-care antimyeloma drugs. However, our results show that the resistant cells are still sensitive to immunotherapeutic treatments, highlighting the need to consider appropriate sequencing of these treatments after venetoclax-based regimens.
Keyphrases
- single cell
- induced apoptosis
- chronic lymphocytic leukemia
- healthcare
- free survival
- cell cycle arrest
- multiple myeloma
- end stage renal disease
- palliative care
- ejection fraction
- chronic kidney disease
- rna seq
- signaling pathway
- diffuse large b cell lymphoma
- stem cells
- endoplasmic reticulum stress
- mesenchymal stem cells
- randomized controlled trial
- cell death
- quality improvement
- high resolution
- cell therapy
- open label
- artificial intelligence
- combination therapy
- bone marrow
- high throughput
- patient reported outcomes
- patient reported