Outcomes of first therapy after CD19-CAR-T treatment failure in large B-cell lymphoma.
Ana Alarcon TomasJoshua Alexander FeinShalev FriedJessica R FlynnSean M DevlinWarren B FingrutTheodora AnagnostouAnna AlperovichNishi ShahEllen FraintRichard J LinMichael ScordoConnie Lee BatleviMichal J BesserParastoo Bahrami DahiIvetta DanyleskoSergio A GiraltBrandon S ImberElad JacobyMeirav KedmiArnon NaglerMaria Lia PalombaMikhail RoshalGilles A SallesCraig SauterNoga Shem-TovAvichai ShimoniJoachim YahalomRonit YerushalmiGunjan L ShahAbraham AvigdorMiguel-Ángel PeralesRoni ShouvalPublished in: Leukemia (2022)
Persistence or recurrence of large B-cell lymphoma after CD19-CAR-T is common, yet data guiding management are limited. We describe outcomes and features following CAR-T treatment failure. Of 305 adults who received CD19-CAR-T, 182 experienced disease recurrence or progression (1-year cumulative incidence 63% [95%CI: 57-69]). Of 52 post-CAR-T biopsies evaluated by flow cytometry, 49 (94%) expressed CD19. Subsequent anti-cancer treatment was administered in 135/182 (74%) patients with CAR-T treatment failure. Median OS from the first post-CAR-T treatment was 8 months (95%CI 5.6-11.0). Polatuzumab-, standard chemotherapy-, and lenalidomide-based treatments were the most common approaches after CAR-T. No complete responses (CRs) were observed with conventional chemotherapy, while CR rates exceeding 30% were seen following polatuzumab- or lenalidomide-based therapies. Factors associated with poor OS among patients treated post-CAR-T were pre-CAR-T bulky disease (HR 2.27 [1.10-4.72]), lack of response to CAR-T (2.33 [1.02-5.29]), age >65 years (HR 2.65 [1.49-4.73]) and elevated LDH at post-CAR-T treatment (HR 2.95 [1.61-5.38]). The presence of ≥2 of these factors was associated with inferior OS compared to ≤1 (56% vs. 19%). In this largest analysis to date of patients who progressed or relapsed after CD19-CAR-T, survival is poor, though novel agents such as polatuzumab and lenalidomide may have hold promise.
Keyphrases
- stem cells
- multiple myeloma
- combination therapy
- type diabetes
- squamous cell carcinoma
- machine learning
- acute lymphoblastic leukemia
- stem cell transplantation
- big data
- radiation therapy
- high dose
- newly diagnosed
- replacement therapy
- artificial intelligence
- mesenchymal stem cells
- free survival
- insulin resistance
- hodgkin lymphoma