Predictive factors of early progression after CAR T-cell therapy in relapsed/refractory diffuse large B-cell lymphoma

Blood Advances - Tập 4 - Trang 5607-5615 - 2020
Laetitia Vercellino1, Roberta Di Blasi2, Salim Kanoun3, Benoit Tessoulin4,5,6, Cedric Rossi7, Maud D'Aveni-Piney8,9, Lucie Obéric10, Caroline Bodet-Milin11, Pierre Bories10, Pierre Olivier12, Ingrid Lafon7, Alina Berriolo-Riedinger13, Eugenio Galli2, Sophie Bernard2, Marie-Thérèse Rubio8,9, Celine Bossard14, Veronique Meignin15, Pascal Merlet1, Pierre Feugier8,16, Steven Le Gouill4
1Department of Nuclear Medicine, Saint-Louis Hospital, Assistance Publique–Hôpitaux de Paris (AP-HP), Paris, France;
2Department of Hemato-Oncology, Saint-Louis Hospital, Assistance Publique–Hôpitaux de Paris (AP-HP), Paris, France;
3Department of Nuclear Medicine, Oncolopole, Toulouse, France;
4Centre Hospitalier Universitaire (CHU) Nantes, Service d'Hématologie Clinique, Hôtel-Dieu, Nantes, France;
5INSERM, Centre National de la Recherche Scientifique (CNRS), Centre de Recherche en Cancérologie et Immunologie Nantes Angers (CRCINA), Nantes, France;
6Faculté de Médecine, Université de Nantes, Nantes, France
7Hematology, CHU Dijon, INSERM Unité Mixte de Recherche (UMR) 1231, Dijon, France;
8Department of Hematology, Brabois Hospital, Centre Hospitalier Régional Universitaire (CHRU), Nancy, France;
9CNRS UMR 7563, Biopole de l'Université de Lorraine, Vandoeuvre les Nancy, France;
10Department of Hematology, Oncopole, CHU Toulouse, Toulouse, France;
11Department of Nuclear Medicine, CHU Nantes, Nantes, France
12Department of Nuclear Medicine, CHU Brabois, Nancy, France;
13Department of Nuclear Medicine, Center Georges-François Leclerc, Dijon, France;
14Department of Pathology, CHU Nantes, Nantes, France;
15Department of Pathology, AP-HP, Saint-Louis Hospital, Paris, France;
16INSERM 1256, Université de Lorraine, Nancy, France;

Tóm tắt

Abstract Chimeric antigen receptor (CAR) T-cell therapy has emerged as an option for relapsed/refractory aggressive B-cell lymphomas that have failed 2 lines of therapy. Failures usually occur early after infusion. The purpose of our study was to identify factors that may predict failure, particularly early progression (EP), within the first month after infusion. Characteristics of 116 patients were analyzed at the time of decision (TD) to use commercial CAR (axicabtagene ciloleucel, n = 49; tisagenlecleucel n = 67) and at the time of treatment (TT), together with total metabolic tumor volume (TMTV) at TT. With a median follow-up of 8.2 months, 55 patients failed treatment; 27 (49%) were early progressors. The estimated 12-month progression-free survival (PFS) and overall survival (OS) were 47.2% (95% confidence interval [CI], 38.0-58.6) and 67.0% (95% CI, 57-79), respectively. Univariate analyses for PFS and OS identified Eastern Cooperative Oncology Group Performance Status (ECOG PS) ≥2, stage III/IV disease, extranodal (EN) sites ≥2, elevated lactate dehydrogenase (LDH), increased C-reactive protein (CRP), high International Prognostic Index at TD and at TT, as well as increased CRP, bulky mass, and high TMTV at TT, as risk factors. Multivariate analyses for PFS, EP, and OS identified elevated LDH and EN sites ≥2 at TD and the same predictors at TT (ie, increased CRP, EN sites ≥2, and TMTV >80 mL). In summary, risk factors identified for early progression at TD and at TT were EN involvement (≥2 sites) and lymphoma burden (LDH, TMTV).

Tài liệu tham khảo

Crump, 2018, Outcomes in refractory diffuse large B-cell lymphoma: results from the international SCHOLAR-1 study, Blood, 131, 587 Van Den Neste, 2017, Outcomes of diffuse large B-cell lymphoma patients relapsing after autologous stem cell transplantation: an analysis of patients included in the CORAL study, Bone Marrow Transplant, 52, 216, 10.1038/bmt.2016.213 Gisselbrecht, 2010, Salvage regimens with autologous transplantation for relapsed large B-cell lymphoma in the rituximab era, J Clin Oncol, 28, 4184, 10.1200/JCO.2010.28.1618 Neelapu, 2017, Axicabtagene ciloleucel CAR T-cell therapy in refractory large B-cell lymphoma, N Engl J Med, 377, 2531, 10.1056/NEJMoa1707447 Schuster, 2019, Tisagenlecleucel in adult relapsed or refractory diffuse large B-cell lymphoma, N Engl J Med, 380, 45, 10.1056/NEJMoa1804980 Abramson, 2017, High durable CR rates in R/R aggressive B-NHL treated with JCAR017 (lisocabtagene maraleucel; liso-cel) (TRANSCEND NHL 001): defined composition CD19-directed CAR T cell product allows for dose finding and definition of pivotal cohort [abstract], Blood, 130 Jacobson, 2018, Axicabtagene ciloleucel in the real world: outcomes and predictors of response, resistance and toxicity [abstract], Blood, 132, Abstract 92, 10.1182/blood-2018-99-117199 Westin, 2019, Correlative analyses of patient and clinical characteristics associated with efficacy in tisagenlecleucel-treated relapsed/refractory diffuse large B-cell lymphoma patients in the Juliet Trial [abstract], Blood, 134, 10.1182/blood-2019-129107 Cottereau, 2016, Molecular profile and FDG-PET/CT total metabolic tumor volume improve risk classification at diagnosis for patients with diffuse large B-cell lymphoma, Clin Cancer Res, 22, 3801, 10.1158/1078-0432.CCR-15-2825 Sasanelli, 2014, Pretherapy metabolic tumour volume is an independent predictor of outcome in patients with diffuse large B-cell lymphoma, Eur J Nucl Med Mol Imaging, 41, 2017, 10.1007/s00259-014-2822-7 Vercellino, 2020, High total metabolic tumor volume at baseline predicts survival independent of response to therapy, Blood, 135, 1396, 10.1182/blood.2019003526 Lenz, 2008, Stromal gene signatures in large-B-cell lymphomas, N Engl J Med, 359, 2313, 10.1056/NEJMoa0802885 Hans, 2004, Confirmation of the molecular classification of diffuse large B-cell lymphoma by immunohistochemistry using a tissue microarray, Blood, 103, 275, 10.1182/blood-2003-05-1545 Wright, 2020, A probabilistic classification tool for genetic subtypes of diffuse large B cell lymphoma with therapeutic implications, Cancer Cell, 37, 551, 10.1016/j.ccell.2020.03.015 Cheson, 2014, Recommendations for initial evaluation, staging, and response assessment of Hodgkin and non-Hodgkin lymphoma: the Lugano classification, J Clin Oncol, 32, 3059, 10.1200/JCO.2013.54.8800 Boellaard, 2015, FDG PET/CT: EANM procedure guidelines for tumour imaging: version 2.0, Eur J Nucl Med Mol Imaging, 42, 328, 10.1007/s00259-014-2961-x Grossiord, 2020, Shaping for PET image analysis, Pattern Recognit Lett, 131, 307, 10.1016/j.patrec.2020.01.017 Meignan, 2014, Metabolic tumour volumes measured at staging in lymphoma: methodological evaluation on phantom experiments and patients, Eur J Nucl Med Mol Imaging, 41, 1113, 10.1007/s00259-014-2705-y Meignan, 2016, Baseline metabolic tumor volume predicts outcome in high-tumor-burden follicular lymphoma: a pooled analysis of three multicenter studies, J Clin Oncol, 34, 3618, 10.1200/JCO.2016.66.9440 Zweig, 1993, Receiver-operating characteristic (ROC) plots: a fundamental evaluation tool in clinical medicine, Clin Chem, 39, 561, 10.1093/clinchem/39.4.561 Wang, 2019, Role of fluorodeoxyglucose positron emission tomography/computed tomography in predicting the adverse effects of chimeric antigen receptor T cell therapy in patients with non-Hodgkin lymphoma, Biol Blood Marrow Transplant, 25, 1092, 10.1016/j.bbmt.2019.02.008 Shah, 2018, Early positron emission tomography/computed tomography as a predictor of response after CTL019 chimeric antigen receptor-T-cell therapy in B-cell non-Hodgkin lymphomas, Cytotherapy, 20, 1415, 10.1016/j.jcyt.2018.10.003 Nastoupil, 2020, Standard-of-care axicabtagene ciloleucel for relapsed or refractory large B-cell lymphoma: results from the US Lymphoma CAR T Consortium, J Clin Oncol, 38, 3119, 10.1200/JCO.19.02104 Barrington, 2019, Time to prepare for risk adaptation in lymphoma by standardizing measurement of metabolic tumor burden, J Nucl Med, 60, 1096, 10.2967/jnumed.119.227249 Lesch, 2019, Determinants of response and resistance to CAR T cell therapy, Semin Cancer Biol, 65, 80, 10.1016/j.semcancer.2019.11.004