Back to Search
Start Over
Outcome Prediction in Patients With Large B-cell Lymphoma Undergoing Chimeric Antigen Receptor T-cell Therapy
- Source :
- HemaSphere, Vol 7, Iss 1, p e817 (2023)
- Publication Year :
- 2023
- Publisher :
- Wiley, 2023.
-
Abstract
- The introduction of chimeric antigen receptor (CAR) T-cell therapy has led to a fundamental shift in the management of relapsed and refractory large B-cell lymphoma. However, our understanding of risk factors associated with non-response is still insufficient and the search for predictive biomarkers continues. Some parameters measurable on 18F-fluorodeoxyglucose positron emission tomography (PET) may be of additional value in this context. A total of 47 individuals from three German university centers who underwent re-staging with PET prior to CAR T-cell therapy were enrolled into the present study. After multivariable analysis considering tumor characteristics and patient factors that might affect progression-free survival (PFS), we investigated whether metabolic tumor volume (MTV) or maximum standardized uptake value (SUVmax) further improve risk stratification. Their most suitable cut-offs were determined by Cox and logistic regression. Forward selection identified extra-nodal disease as the most predictive factor of those routinely available, and we found it to be associated with significantly inferior overall survival after CAR T-cell treatment (P = 0.012). Furthermore, patients with MTV and SUVmax higher than the optimal threshold of 11 mL and 16.7, respectively, experienced shorter PFS (P = 0.016 and 0.002, respectively). Hence, these risk factors might be useful for selection of individuals likely to benefit from CAR T-cell therapy and their management.
- Subjects :
- Diseases of the blood and blood-forming organs
RC633-647.5
Subjects
Details
- Language :
- English
- ISSN :
- 25729241 and 00000000
- Volume :
- 7
- Issue :
- 1
- Database :
- Directory of Open Access Journals
- Journal :
- HemaSphere
- Publication Type :
- Academic Journal
- Accession number :
- edsdoj.00e11d7dcadb4ef1933acac43af2c1ef
- Document Type :
- article
- Full Text :
- https://doi.org/10.1097/HS9.0000000000000817