Cellular dynamics following CAR T cell therapy are associated with response and toxicity in relapsed/refractory myeloma.
Luise FischerNora GriebPatrick BornRonald WeissSabine SeiffertAndreas BoldtStephan FrickePaul FranzSimone HeynAnne-Sophie KubaschRonny BaberHeike WeidnerSong-Yau WangEnrica BachSandra HoffmannJule UssmannJanine KirchbergSaskia HellSebastian SchwindKlaus H MetzelerMarco HerlingMadlen JentzschGeorg-Nikolaus FrankeUlrich SackKristin ReicheUlrike KöhlUwe PlatzbeckerVladan VucinicMaximilian MerzPublished in: Leukemia (2024)
B-cell maturation antigen (BCMA)-targeting chimeric antigen receptor (CAR) T cells revolutionized the treatment of relapsed/refractory multiple myeloma (RRMM). However, data on cellular (CAR) T cell dynamics and the association with response, resistance or the occurrence of cytokine release syndrome (CRS) are limited. Therefore, we performed a comprehensive flow cytometry analysis of 27 RRMM patients treated with Idecabtagene vicleucel (Ide-cel) to assess the expansion capacity, persistence and effects on bystander cells of BCMA-targeting CAR T cells. Additionally, we addressed side effects, like cytokine release syndrome (CRS) and cytopenia. Our results show that in vivo expansion of CD8 + CAR T cells is correlated to response, however persistence is not essential for durable remission in RRMM patients. In addition, our data provide evidence, that an increased fraction of CD8 + T cells at day of leukapheresis in combination with successful lymphodepletion positively influence the outcome. We show that patients at risk for higher-grade CRS can be identified already prior to lymphodepletion. Our extensive characterization contributes to a better understanding of the dynamics and effects of BCMA-targeting CAR T cells, in order to predict the response of individual patients as well as side effects, which can be counteracted at an early stage or even prevented.
Keyphrases
- end stage renal disease
- multiple myeloma
- early stage
- newly diagnosed
- cell therapy
- chronic kidney disease
- peritoneal dialysis
- prognostic factors
- acute lymphoblastic leukemia
- acute myeloid leukemia
- stem cells
- mesenchymal stem cells
- squamous cell carcinoma
- oxidative stress
- cancer therapy
- diffuse large b cell lymphoma
- risk assessment
- induced apoptosis
- drug delivery
- systemic lupus erythematosus
- case report
- machine learning
- disease activity
- data analysis
- deep learning
- combination therapy