CAR T in patients with large B-cell lymphoma not fit for autologous transplant.
Andrea KuhnlA A KirkwoodClaire RoddieTobias MenneE TholouliAdrian J C BloorC BesleyS ChagantiW OsborneJ NormanA GibbK SharplinM CuadradoM Correia de FariasK CheokL NeillA L LatifC González AriasB UttenthalC JonesRoderick JohnsonA McMillanRobin SandersonW TownsendPublished in: British journal of haematology (2023)
Large B-cell lymphoma (LBCL) patients with comorbidities and/or advanced age are increasingly considered for treatment with CD19 CAR T, but data on the clinical benefit of CAR T in the less fit patient population are still limited. We analysed outcomes of consecutive patients approved for treatment with axicabtagene ciloleucel (axi-cel) or tisagenlecleucel (tisa-cel) by the UK National CAR T Clinical Panel, according to fitness for autologous stem cell transplant (ASCT). 81/404 (20%) of approved patients were deemed unfit for ASCT. Unfit patients were more likely to receive tisa-cel versus axi-cel (52% vs. 48%) compared to 20% versus 80% in ASCT-fit patients; p < 0.0001. The drop-out rate from approval to infusion was significantly higher in the ASCT-unfit group (34.6% vs. 23.5%; p = 0.042). Among infused patients, response rate, progression-free and overall survival were similar in both cohorts. CAR T was well-tolerated in ASCT-unfit patients with an incidence of grade ≥3 cytokine release syndrome and neurotoxicity of 2% and 11%, respectively. Results from this multicentre real-world cohort demonstrate that CD19 CAR T can be safely delivered in carefully selected older patients and patients with comorbidities who are not deemed suitable for transplant.
Keyphrases
- end stage renal disease
- stem cells
- chronic kidney disease
- newly diagnosed
- prognostic factors
- peritoneal dialysis
- randomized controlled trial
- low dose
- type diabetes
- mesenchymal stem cells
- risk factors
- metabolic syndrome
- clinical trial
- skeletal muscle
- weight loss
- big data
- machine learning
- artificial intelligence
- patient reported
- insulin resistance