Impact of SARS-CoV-2 vaccination and monoclonal antibodies on outcome post–CD19-directed CAR T-cell therapy: an EPICOVIDEHA survey

Impact of SARS-CoV-2 vaccination and monoclonal antibodies on outcome post–CD19-directed CAR T-cell therapy: an EPICOVIDEHA survey Jaap A. van Doesum, 1, *Jon Salmanton-García, 2-4, *Francesco Marchesi, 5 Roberta Di Blasi, 6,7 Iker Falces-Romero, 8,9 Alba Cabirta, 10,11 Francesca Farina, 12 Caroline Besson, 13,14 Barbora Weinbergerov´ a, 15 Jens Van Praet, 16 Martin Schönlein, 17 Alberto L´ opez-García, 18 Sylvain Lamure, 19 Anna Guidetti, 20 Cristina De Ram´ on-S´ anchez, 21,22 Josip Batini´ c, 23,24 Eleni Gavriilaki, 25 Athanasios Tragiannidis, 25 Maria Chiara Tisi, 26 Gaëtan Plantefeve, 27 Verena Petzer, 28 Irati Ormazabal-V´ elez, 29 Joyce Marques de Almeida, 30 Monia Marchetti, 31 Johan Maertens, 32,33 Marina Machado, 34 Austin Kulasekararaj, 35 Jos´ e-Ángel Hern´ andez-Rivas, 36 Maria Gomes da Silva, 37 Noemí Fern´ andez, 38 Ildefonso Espigado, 39 ˇ Luboˇ s Drgoˇ na, 40 Giulia Dragonetti, 41 Elisabetta Metafuni, 41 Maria Calbacho, 42 Ola Blennow, 43 Dominik Wolf, 28 Bjorn van Anrooij, 1 Raquel Nunes Rodrigues, 37 Anna Nordlander, 43 Juan-Alberto Martín-Gonz´ alez, 44 Raphaël Li´ evin, 6,7 Moraima Jim´ enez, 10 Stefanie K. Gräfe, 3,45,46 Ram´ on García-Sanz, 21,22 Raúl C´ ordoba, 18 Laman Rahimli, 2-4 Tom van Meerten, 1 Oliver A. Cornely, 2-4,47,48 and Livio Pagano 41 1 University Medical Center Groningen, Groningen, The Netherlands; 2 Faculty of Medicine and University Hospital Cologne, Institute of Translational Research, Cologne Excellence Cluster on Cellular Stress Responses in Aging-Associated Diseases and 3 Department I of Internal Medicine, Faculty of Medicine and University Hospital Cologne, Excellence Center for Medical Mycology, University of Cologne, Cologne, Germany; 4 German Centre for Infection Research (DZIF), Partner Site Bonn-Cologne, Cologne, Germany; 5 Hematology and Stem Cell Transplant Unit, IRCCS Regina Elena National Cancer Institute, Rome, Italy; 6 Service d’Hematologie-Oncologie, Hopital St Louis, Assistance Publique - Hopitaux de Paris, Paris, France; 7 Universite de Paris Diderot, Paris, France; 8 La Paz University Hospital, Madrid, Spain; 9 Centro de Investigaci ´ on Biom´ edica en Red, Instituto de Salud Carlos III, Madrid, Spain; 10 Department of Hematology, Vall d’Hebron Hospital Universitari, Experimental Hematology, Vall d’Hebron Institute of Oncology, Vall d’Hebron Barcelona Hospital Campus, Barcelona, Spain; 11 Departament de Medicina, Universitat Aut ` onoma de Barcelona, Bellaterra, Spain; 12 IRCCS Ospedale San Raffaele, Milan, Italy; 13 Centre Hospitalier de Versailles, Le Chesnay, France; 14 Universit´ e Paris-Saclay, Universit´ e de Versailles Saint-Quentin-en- Yvelines, INSERM, ´ Equipe “Exposome et H´ er´ edit´ e,”Centre for Epidemiology and Population Health, Villejuif, France; 15 Department of Internal Medicine - Hematology and Oncology, Masaryk University Hospital Brno, Brno, Czech Republic; 16 Department of Nephrology and Infectious Diseases, AZ Sint-Jan Brugge-Oostende AV, Brugge, Belgium; 17 Department of Oncology, Hematology and Bone Marrow Transplantation with Section of Pneumology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany; 18 Fundacion Jimenez Diaz University Hospital, Health Research Institute IIS-FJD, Madrid, Spain; 19 Department of Clinical Hematology, Montpellier University Hospital, IGMM UMR5535 CNRS, University of Montpellier, Montpellier, France; 20 University of Milan and Fondazione IRCCS Istituto Nazionale Dei Tumori, Milan, Italy; 21 Hematology Department, Hospital Universitario de Salamanca, Salamanca, Spain; 22 Instituto de Investigaci´ on Biom´ edica de Salamanca, Centro de Investigaci ´ on del C´ ancer-IBMCC (USAL-CSIC), Salamanca, Spain; 23 University Hospital Centre Zagreb, Zagreb, Croatia; 24 School of Medicine University of Zagreb, Zagreb, Croatia; 25 Aristotle University of Thessaloniki, Thessaloniki, Greece; 26 Ospedale San Bortolo, Vicenza, Italy; 27 Centre Hospitalier d’Argenteuil, Argenteuil, France; 28 Department of Hematology and Oncology, Medical University of Innsbruck, Innsbruck, Austria; 29 Complejo Hospitalario de Navarra, Iru˜ na-Pamplona, Spain; 30 Istituto Oncologico della Svizzera Italiana, Bellinzona, Switzerland; 31 Azienda Ospedaliera Nazionale SS. Antonio e Biagio e Cesare Arrigo, Alessandria, Italy; 32 Department of Microbiology, Immunology, and Transplantation, KU Leuven, Leuven, Belgium; 33 Department of Hematology, UZ Leuven, Leuven, Belgium; 34 Clinical Microbiology and Infectious Diseases Department, Hospital General Universitario Gregorio Mara˜ n´ on, Madrid, Spain; 35 King’s College Hospital, London, United Kingdom; 36 Hospital Universitario Infanta Leonor, Madrid, Spain; 37 Portuguese Institute of Oncology, Lisbon, Portugal; 38 Hospital Universitario Marqu´ es de Valdecilla, Santander, Spain; 39 Department of Hematology, University Hospital Virgen Macarena - University Hospital Virgen del Rocío, Instituto de Biomedicina de Sevilla (IBIS/CSIC), Universidad de Sevilla (Departamento de Medicina), Seville, Spain; 40 Department of Oncohematology, Comenius University and National Cancer Institute, Bratislava, Slovakia; 41 Hematology Unit, Fondazione Policlinico Universitario Agostino Gemelli - IRCCS, Rome, Italy; 42 Hospital Universitario 12 de Octubre, Madrid, Spain; 43 Department of Infectious Diseases, Karolinska University Hospital, Stockholm, Sweden; 44 Hospital Univesitario Virgen del Rocío, Seville, Spain; 45 Faculty of Medicine, University Medical Center Hamburg-Eppendorf, Hamburg, Germany; 46 University of Cologne, Faculty of Medicine and University Hospital Cologne, Cologne Excellence Cluster on Cellular Stress Responses in Aging- Associated Diseases, Cologne, Germany; 47 University of Cologne, Faculty of Medicine and University Hospital Cologne, Clinical Trials Centre Cologne (ZKS Köln), Cologne, Germany; and 48 Faculty of Medicine and University Hospital Cologne, Center for Molecular Medicine Cologne, University of Cologne, Cologne, Germany Submitted 19 December 2022; accepted 30 March 2023; prepublished online on Blood Advances First Edition 14 April 2023; final version published online 13 June 2023. https://doi.org/10.1182/bloodadvances.2022009578. *J.A.v.D. and J.S.-G. contributed equally to this work. Data are available on request from the corresponding authors, Jaap A. van Doesum ([email protected]l) and Jon Salmanton-García ([email protected]). The full-text version of this article contains a data supplement. © 2023 by The American Society of Hematology. Licensed under Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0), permitting only noncommercial, nonderivative use with attribution. All other rights reserved. REGULAR ARTICLE 13 JUNE 2023 •VOLUME 7, NUMBER 11 2645 Downloaded from http://ashpublications.org/bloodadvances/article-pdf/7/11/2645/2056824/blooda_adv-2022-009578-main.pdf by guest on 25 July 2025 Key Points •Vaccination did not improve COVID-19 attributed mortality; still progression is milder with shorter hospitalization and ICU admission. •Use of monoclonal antibodies was effective in reducing attributable mortality. Patients with previous CD19-directed chimeric antigen receptor (CAR) T-cell therapy have a prolonged vulnerability to viral infections. Coronavirus disease 2019 (COVID-19) has a great impact and has previously been shown to cause high mortality in this population. Until now, real-world data on the impact of vaccination and treatment on patients with COVID-19 after CD19-directed CAR T-cell therapy are lacking. Therefore, this multicenter, retrospective study was conducted with data from the EPICOVIDEHA survey. Sixty-four patients were identified. The overall mortality caused by COVID-19 was 31%. Patients infected with the Omicron variant had a significantly lower risk of death due to COVID-19 compared with patients infected with previous variants (7% vs 58% [P= .012]). Twenty-six patients were vaccinated at the time of the COVID-19 diagnosis. Two vaccinations showed a marked but unsignificant reduction in the risk of COVID-19–caused mortality (33.3% vs 14.2% [P= .379]). In addition, the course of the disease appears milder with less frequent intensive care unit admissions (39% vs 14% [P= .054]) and a shorter duration of hospitalization (7 vs 27.5 days [P= .022]). Of the available treatment options, only monoclonal antibodies seemed to be effective at reducing mortality from 32% to 0% (P= .036). We conclude that survival rates of CAR T-cell recipients with COVID-19 improved over time and that the combination of prior vaccination and monoclonal antibody treatment significantly reduces their risk of death. This trial was registered at www. clinicaltrials.gov as #NCT04733729. Introduction The introduction of CD19-directed chimeric antigen receptor T-cell (CAR T-cell) therapy for patients with relapsed or refractory large B-cell lymphoma meant an incredible leap forward in the survival of these patients. 1,2 Indications for CAR T-cell therapy keep expanding in commercial and clinical trial settings. The major longterm adverse effect of CD19-directed CAR T cells is prolonged B- cell aplasia and subsequent (viral) infections. 3,4 Early reports of patients with coronavirus disease 2019 (COVID- 19) after CD19-directed CAR T-cell therapy showed a dismal outcome of just 50% overall survival (OS). 5,6 Updates on the outcome during the following years and subsequent severe acute respiratory syndrome coronavirus type 2 (SARS-CoV-2) variants are lacking. In addition, the impact of vaccination and treatment with monoclonal antibodies (MoAbs) or convalescent plasma on outcomes is not known. Several studies assessed the impact of vaccination on the humoral immune response. 7-9 However, only a small subset of patients obtain a serological conversion after vaccination. This is in line with larger vaccination studies in hematological patients that underpin the need for B cells for mounting a humoral response to vaccination. 7,10 Although little data have been published about cellular response in this specific patient category, 11,12 in the general population, T-cell response is considered an important factor in successful SARS-CoV-2 vaccination. 13 Nevertheless, T-cell function could be impaired because of the CAR T-cell conditioning therapy with fludarabine/cyclophosphamide or bendamustine, especially in the first few months. We hypothesize that vaccination and treatment with MoAbs will yield protection against adverse outcome. Therefore, we conducted this study to assess the impact of vaccination and treatment with MoAbs on the outcome of patients with COVID-19 after CD19-directed CAR T-cell therapy. Methods In this retrospective observational multicenter study, data were collected of all adult patients who were diagnosed with COVID-19 and for whom the last line of treatment immediately before the infection for their hematological malignancy was CD19-directed CAR T-cell therapy. The data were collected within the EPICOVIDEHA survey, 14 an initiative of the European Hematology Association infectious diseases working group. EPICOVIDEHA was approved by the local ethics committee of 276 the Fondazione Policlinico Universitario Agostino Gemelli - IRCCS, Universit` a Cattolica del Sacro 277 Cuore of Rome, Italy (study ID: 3226). The study was conducted in accordance with the Declaration of Helsinki, and the trial was registered at www.clinicaltrials.gov as #NCT04733729. Deidentified data on demographics, comorbidities, outcome, underlying hematological malignancy, and treatment were collected at the survey on www.clinicalsurveys.net. The data cutoff date was 1 July 2022. The aim of this study is to assess the impact of COVID-19 on survival. The hematological prognosis of patients with relapsed disease after CAR T-cell therapy is very poor. To avoid this competing risk, we chose not to present the data as OS, but as event-free survival (EFS), whereby an event was defined as death caused by COVID-19. Patients were censored at day of death because of a cause other than COVID-19. Deaths caused by COVID-19 were patients who either died solely because of COVID-19 or COVID-19 in combination with other diseases (eg, progression lymphoma). Death due to progression was limited to only those cases where it was clear that there was no relation to 2646 van DOESUM et al 13 JUNE 2023 •VOLUME 7, NUMBER 11 Downloaded from http://ashpublications.org/bloodadvances/article-pdf/7/11/2645/2056824/blooda_adv-2022-009578-main.pdf by guest on 25 July 2025 COVID-19. Data are presented up to day 90 after COVID-19 infection, when 75% of the patients had an event or were censored. Patients were considered vaccinated when they had at least the minimum number of vaccinations that were recommended by the manufacturer in the general population (eg, 2 vaccinations with Comirnaty, Spikevax and 1 if Jcovden) and the time between the last vaccination and COVID-19 must be at least 7 days. For statistical analyses, SPSS v25.0 (IBM Corp, Chicago, IL) was used. Categorical variables are presented using frequency and percentage; continuous variables are shown by median and interquartile range (IQR). EFS was estimated with the Kaplan-Meier method. Risk factors were evaluated using a Cox proportional hazard model. Because of the limited number of events, we applied a limited multivariate analysis in the form of pairwise Cox regression. For half of the patients, the viral variant was not known, so the year of the COVID-19 was used in the multivariate analysis, assuming that in 2020 and 2021, most of the patients had an infection with a non-Omicron variant, and in 2022, all patients were infected with an Omicron variant. Results In total, 64 patients with COVID-19 and CD19-directed CAR T-cell therapy as their most recent treatment were identified in 34 centers across 15 countries (supplemental Figure 1). The median follow-up was 50.5 days (IQR, 25-90), the median age at COVID-19 diagnosis was 56 years (IQR, 47-65), and 38 (54.3%) were male. At the time of COVID-19 diagnosis, 42 patients (60%) had complete remission of their hematological malignancy, 3 (4.3%) had stable disease, and 17 (24.3%) had active disease; for 2 patients, the disease status was missing. The median number of previous treatment lines was 3 (IQR, 3-4). Sixteen patients (25.0%) had been treated previously with autologous hematopoietic stem cell transplantation (auto HSCT). The median time since transplantation and COVID-19 diagnosis was 602 days (IQR, 276- 1108). The most often used CAR T-cell constructs were axicabtagene ciloleucel (50.0%) and tisagenlecleucel (42.2%). The median time since CAR T-cell infusion until COVID-19 diagnosis was 202.5 days (IQR, 85-450). In 50.0% of all cases, the SARS- CoV-2 variant was not determined. Of the patients for whom variants were tested, most were infected with an Omicron variant (28.1%). Twenty-six patients (40.6%) had received at least 1 vaccination before COVID-19. Comorbidities (hypertension, cardiovascular disease, pulmonary dysfunction, diabetes, renal impairment, liver disease, or smoking history) were present in 39 patients. Twenty-two patients (34.4%) had 1 comorbidity, 10 (15.6%) had 2 comorbidities, and 7 (10.9%) had 3 or more comorbidities. Full demographic and clinical characteristics are summarized in Table 1. Outcome In total, 50 patients (78.1%) were hospitalized because of COVID- 19, and 18 patients (28.1%) were admitted to intensive care units (ICU), underscoring the severe impact of COVID-19 in this patient population. The median duration of hospitalization was 25.0 days. COVID-19 treatment consisted of corticosteroids in 30 patients (46.9%), viral replication inhibitors in 18 patients (28.1%), convalescent plasma in 16 patients (25.0%), MoAbs in 14 patients (21.9%), and tocilizumab in 6 patients (9.4%). At last follow-up, 38 Table 1. Overall patient and treatment characteristics All patients (N = 64) N (%) Sex Male 38 (59.4) Female 26 (40.6) Age, median (IQR) 56 (47-66) Diagnosis Diffuse large B-cell lymphoma 49 (76.6) High-grade B-cell lymphoma with MYC and BCL2/ BCL6 2 (3.1) Primary mediastinal B-cell lymphoma 4 (6.3) Transformed follicular lymphoma 2 (3.1) Mantle cell lymphoma 2 (3.1) Follicular lymphoma 3 (4.7) B-ALL 2 (3.1) Number of previous lines of therapy, median (IQR) 3 (3-4) Previous auto HSCT 16 (25.0) Time since auto HSCT, days median (IQR) 602 (276-1108) CAR T-cell product Axicabtagene ciloleucel 32 (50.0) Lisocabtagene maraleucel 1 (1.6) Tisagenlecleucel 27 (42.2) Other 2 (3.1) Unknown 2 (3.1) CAR T-cell therapy conditioning Fludarabine/cyclophosphamide 61 (95.3) Bendamustine 1 (1.6) Other 1 (1.6) Unknown 1 (1.6) Time since CAR T-cell infusion, days median (IQR) 183 (81-461) Variant of SARS-CoV-2 infection Wild-type 7 (10.9) Alpha mutation 3 (4.7) Delta mutation 4 (6.3) Omicron mutation 18 (28.1) Unknown 32 (50.0) ≥1 vaccinations before COVID-19 26 (40.6) Comorbidities* Not present 25 (39.1) 1 comorbidity 22 (34.4) 2 comorbidities 10 (15.6) ≥3 comorbidities 7 (10.9) Leukocyte count (cells per mm 3 ) at COVID-19 diagnosis, median (IQR) 2515 (1770-3915) Neutrophil count (cells per mm 3 ) at COVID-19 diagnosis, median (IQR) 1450 (620-2300) Lymphocyte count (cells per mm 3 ) at COVID-19 diagnosis, median (IQR) 485 (260-899) ALL, acute lymphoid leukemia; auto HSCT, autologous HSCT. *One or more comorbidities present (chronic cardiomyopathy, chronic pulmonary disease, diabetes, liver disease, obesity, renal impairment, smoker). 13 JUNE 2023 •VOLUME 7, NUMBER 11 SARS-CoV-2 VACCINATION AND ANTIBODIES IN CAR T 2647 Downloaded from http://ashpublications.org/bloodadvances/article-pdf/7/11/2645/2056824/blooda_adv-2022-009578-main.pdf by guest on 25 July 2025 (59.4%) patients were alive (Figure 1). In 26 deceased patients, death was caused by the underlying hematological malignancy in 6 (23.1%) and due to COVID-19 in 20 (76.9%). EFS at day 90 was 68.8% (Figure 2A). Development over time The number of patients diagnosed with COVID-19 each year was equally distributed over the years. In 2020, there were 23 patients diagnosed with COVID-19, in 2021, 18 patients and in 2022, 23 patients (until 1 July 2022). For full patient details, refer to supplemental Table 1. There was no difference in hospital admission rate between the years, and the duration of hospitalization in 2022 was significantly shorter (18 vs 34 days; P= .039). In 2022, the frequency of ICU admittance was significantly lower compared with 2020: 8.7% vs 47.8% (P= .004). When comparing patients infected with the Omicron variant and those with other variants, there was no difference in hospitalization rate (P= .568) or duration (P= .648), but patients infected with Omicron were less frequently admitted to the ICU (P= .020). We found a decrease in COVID-19–caused mortality with each passing year; refer to Figure 2B. Among patients with virus variant determined (N = 32, 14 patients with wild-type/alpha/delta variants, 18 patients with the Omicron variant), there was a significantly better EFS with the Omicron variant as compared with the wild-type and alpha and delta variants (P= .012; supplemental Figure 3). Vaccination In total, 26 patients had received at least 1 vaccination before their COVID-19 diagnosis. All but 2 were solely vaccinated with a mRNA-based vaccine. One patient received a vector-based vaccine, and 1 patient received a mRNA-based vaccine followed by a vector-based vaccine. Ten patients received the first vaccination before CAR T-cell therapy, and 16 patients received the first vaccination after CAR T-cell therapy. The antibody response was tested by local standards in 6 of the 26 vaccinated patients. Three patients had antibodies above the cutoff value of the test that was used. There were no significant differences between the vaccinated and unvaccinated groups in age, sex, hematological malignancy, number of previous therapies, CAR T-cell constructs, or cell counts at the time of COVID-19 diagnosis. The vaccinated group had a significantly longer interval between vaccination and CAR T- cell infusion, median 159 vs 386 days (P≤.001). In the vaccinated group, the Omicron variant was more common (10.5% vs 53.8%; P≤.001). There were no significant differences in treatment of COVID-19 except that MoAbs were more often used in the vaccinated group (7.9% vs 42.3%; P< .001). The median followup of the unvaccinated group was longer than in the vaccinated group (50.5 vs 36 days; P= .025). For full vaccination and patient details, refer to Table 2. No difference was observed in frequency of hospitalization (P= .847) or ICU admission (P= .054), but the duration of hospitalization was significantly shorter in the vaccinated patients: 7 vs 27.5 days (P= .022). Vaccination showed a marked reduction in the risk of COVID-19–caused mortality (33.3% vs 14.2% [P= .379]), refer to Figure 2C. Furthermore, there is no significant difference in EFS between the patients vaccinated before CAR T-cell therapy and those vaccinated after (P= .519; supplemental Figure 4). MoAbs Fourteen patients were treated with MoAbs. Sex, age, status of hematological malignancy, and the CAR T-cell construct did not differ from those without MoAbs. In patients treated with MoAbs, the median time since CAR T-cell infusion was longer than in the non-MoAb group (162 vs 358 days; P= .028). They were more often infected with an Omicron variant (22.0% vs 50.0%; P= .046) and were significantly more often vaccinated (85.7% vs 32.0% [<.001]). See Table 3 for full details. There is a significant reduction in the risk of death due to COVID-19 between those treated with MoAbs and those without (P= .036; Figure 2D). There were no significant differences in hospitalization rate or duration, nor in ICU admission rates. Table 1 (continued) All patients (N = 64) N (%) Severity of infection At home 14 (21.9) Admitted to the hospital 50 (78.1) Duration of hospitalization, days median (IQR) 20 (7-38) Admitted to the ICU 18 (28.1) Duration of ICU admittance, days median (IQR) 11.5 (4.75-30.5) Treatment with MoAbs 14 (21.9) Treatment with convalescent plasma 16 (25.0) Treatment with viral replication inhibitor 18 (28.1) Treatment with steroids 30 (46.9) Treatment with tocilizumab 6 (9.4) Outcome Survived 38 (59.4) Deceased 26 (40.6) Attribution of death COVID-19, or contributed by COVID-19 20 (31.2) Hematological malignancy 6 (9.3) ALL, acute lymphoid leukemia; auto HSCT, autologous HSCT. *One or more comorbidities present (chronic cardiomyopathy, chronic pulmonary disease, diabetes, liver disease, obesity, renal impairment, smoker). 020406080 0 50 100 Days Overall survival Figure 1. OS. 2648 van DOESUM et al 13 JUNE 2023 •VOLUME 7, NUMBER 11 Downloaded from http://ashpublications.org/bloodadvances/article-pdf/7/11/2645/2056824/blooda_adv-2022-009578-main.pdf by guest on 25 July 2025 Predictors for EFS In univariate analysis, factors associated with death attributed to COVID-19 were age (P= .020; hazard ratio, 1.055; 95% confidence interval, 1.009-1.104) and infection with other variants than Omicron. The risk of death due to Omicron was lower than with other variants (P= .040; hazard ratio, 0.110; 95% confidence interval, 0.014-0.900). For all regression results, refer to supplemental Tables 2 and 3. To elucidate a possible interaction between interventions and characteristics (age and year of COVID-19 infection), a pairwise Cox regression was conducted. In this limited number of events, only age was still a significant factor. In addition, there is a trend for reduction in the risk of dying due to COVID-19 when treated with MoAbs. Surprisingly, the year of COVID-19 (and thereby the SARS-CoV-2 variant) seemed to have less impact on the patient’soutcome. Discussion We report on the impact of vaccination and treatment in patients with COVID-19 after previous CD19-directed CAR T-cell therapy. The main findings were a 40% overall mortality and a 31% mortality rate due to COVID-19, and thus a better prognosis than the previously reported 50% overall mortality. 5,6 Although still poor compared with the general population 15,16 and patients with other hematological malignancies, in which the mortality was 9% after vaccination. 17 Our results indicate that a large proportion (23%) of mortality is because of the progression of lymphoma, and taking this into account, the OS of 60% after 90 days is comparable to earlier studies. Although not significant, there is a trend for better survival over the years, as shown by a reduction in COVID-19–caused mortality from 43.5% to 13.0%. The chance to be hospitalized or to be admitted to the ICU also reduced over time, and the duration of hospitalization is significantly shorter. There are several interacting factors that could cause a better outcome. In the early days of COVID-19, only patients who were admitted to the hospital were tested and diagnosed. Later on, testing became available for the outpatient clinic, resulting in a selection bias. With an improved understanding of COVID-19, new treatment options and interventions became available. 020406080 0 50 100 Days Event free survival Overall event-free survival at day 90 A 020 2020 2021 2022 2020-2021 P = .659 2020-2022 P = .257 2021-2022 P = .591 40 60 80 0 50 100 Days Event free survival Event-free survival per diagnosis year at day 90 B 020406080 0 50 100 Days Event-free survival per vaccination status at day 90 Event free survival No vaccination before COVID Vaccinated before COVID P = .379 C 020406080 0 50 100 Days Event free survival Event-free survival per monoclonal antibody administration at day 90 No monoclonal antibody treatment Monoclonal antibody treatment P = .036 D Figure 2. EFS analyses at day 90. (A) Overall EFS at day 90. (B) EFS per diagnosis year at day 90. (C) EFS per vaccination status at day 90. (D) EFS per MoAb administration at day 90. 13 JUNE 2023 •VOLUME 7, NUMBER 11 SARS-CoV-2 VACCINATION AND ANTIBODIES IN CAR T 2649 Downloaded from http://ashpublications.org/bloodadvances/article-pdf/7/11/2645/2056824/blooda_adv-2022-009578-main.pdf by guest on 25 July 2025 Table 2. Treatment characteristics of nonvaccinated and vaccinated patients Nonvaccinated (N = 38) N (%) Vaccinated (N = 26) N (%) Pvalue Sex Male 21 (55.3) 17 (65.4) .418 Female 17 (44.7) 9 (34.6) Age, median (IQR) 55.5 (34.75-65.50) 59 (47.0-66.75) .124 Diagnosis Diffuse large B-cell lymphoma 30 (78.9) 19 (73.1) .792 High-grade B-cell lymphoma with MYC and BCL2/ BCL6 1 (2.6) 1 (3.8) Primary mediastinal B-cell lymphoma 3 (7.9) 1 (3.8) Transformed follicular lymphoma 1 (2.6) 1 (3.8) Mantle cell lymphoma 0 (0) 2 (7.6) Follicular lymphoma 1 (2.6) 2 (7.6) B-ALL 2 (5.2) 0 (0) Number of previous lines of therapy, median (IQR) 3 (3-4) 3.5 (3-5) .083 Previous auto HSCT 9 (23.7) 7 (25.0) .769 Time since auto HSCT, days median (IQR) 603 (477-1266) 1051 (846-2046) CAR T-cell product .784 Axicabtagene ciloleucel 19 (50.0) 13 (50.0) Lisocabtagene maraleucel 1 (2.6) 0 (0) Tisagenlecleucel 17 (44.7) 10 (38.5) Other 0 (0) 2 (7.7) Unknown 1 (2.8) 1 (3.8) CAR T-cell therapy conditioning .404 Fludarabine/cyclophosphamide 35 (92.1) 26 (100) Bendamustine 1 (2.6) 0 (0) Other 1 (2.6) 0 (0) Unknown 1 (2.6) 0 (0) Time since CAR T-cell infusion, days median (IQR) 159 (37-305) 386 (124-747) <.001 Variant of SARS-CoV-2 infection <.001 Wild-type 7 (18.4) 0 (0) Alpha mutation 1 (2.6) 2 (7.7) Delta mutation 1 (2.6) 3 (11.5) Omicron mutation 4 (10.5) 14 (53.8) Unknown 25 (65.8) 7 (25.0) Number of vaccinations <.001 0 38 (100) 0 (0) 1 0 (0) 1 (3.8) 2 0 (0) 18 (69.2) 3 0 (0) 3 (11.5) 4 0 (0) 4 (15.4) Timing of vaccination <.001 Before CAR T-cell infusion 0 (0) 10 (38.5) After CAR T-cell infusion 0 (0) 16 (61.5) Comorbidities*.404 Not present 16 (42.1) 14 (53.8) 1 comorbidity 11 (28.9) 10 (38.5) ALL, acute lymphoid leukemia; auto HSCT, autologous HSCT. *One or more comorbidities present (chronic cardiomyopathy, chronic pulmonary disease, diabetes, liver disease, obesity, renal impairment, smoker). 2650 van DOESUM et al 13 JUNE 2023 •VOLUME 7, NUMBER 11 Downloaded from http://ashpublications.org/bloodadvances/article-pdf/7/11/2645/2056824/blooda_adv-2022-009578-main.pdf by guest on 25 July 2025 After observing the clinical course of vaccinated patients, this seems to be milder, with a significantly shorter duration of hospital stay and a trend showing the chance to be admitted to the ICU. This is concordant with other studies in patients with hematological malignancies. 18 There was no difference in EFS between the patients receiving the first vaccination before CAR T-cell therapy compared with those receiving the first vaccination after CAR T- cell therapy. One can presume that all patients were already B-cell depleted because of previous anti–B-cell therapy, as the median number of previous therapies was 3, possibly resulting in an impaired vaccination response. Information about serological response to vaccination is unfortunately limited in this survey. Presumably, serologic responses to vaccination were not different among patients in vaccination studies, with only one-third showing seroconversion. 19 Although half of the vaccinated patients were infected with the Omicron variant, the trend is still present when we focus only on the vaccinated non-Omicron group (data not shown). In addition, we found that patients who received CAR T-cell therapy benefit from the milder clinical course of the Omicron variant with less frequent ICU admittance (P= .019), although the duration of hospitalization is not different compared with the non- Omicron–infected patients (22.8 vs 26.7 days [P= .648]). The mortality is significantly lower in the Omicron group, with 8% vs 68% in the non-Omicron group at day 90 (P= .012). This is in line with previous studies in patients with hematological malignancies infected with Omicron, where the mortality was 8.4%. 20 Treatment with steroids, viral replication inhibitors, IL-6 inhibition, and convalescent plasma showed no improvement in survival or chance to be hospitalized (data not shown). Treatment with MoAbs showed the largest impact on EFS, with none of the patients dying because of COVID-19. Taking into account that all but 2 patients were also vaccinated at the time of infection, we can conclude that the combination of vaccination and treatment with MoAbs seems to give significant protection against COVID-19 mortality. The study population represents the real-world population treated with CD19-directed CAR T-cell therapy by distribution of sex, age, previous lines of therapy (including auto HSCT), and CAR T-cell constructs used. 21-23 The outcome data may be applicable to the general CD19-directed CAR T-cell–treated population. Like in the general population and in previous studies of patients with hematological malignancies, advanced age and non-Omicron variant SARS-COV-2 infection are risk factors for death due to COVID-19. 15,17,24 Although the general population showed an improvement in survival over the past 3 years, 16 we found that the CAR T-cell population does have limited benefit from improved treatment and vaccination options. A possible explanation could be Table 2 (continued) Nonvaccinated (N = 38) N (%) Vaccinated (N = 26) N (%) Pvalue 2 comorbidities 6 (15.8) 1 (3.8) ≥3 comorbidities 5 (13.1) 1 (3.8) Leukocyte count (cells per mm 3 ) at COVID-19 diagnosis, median (IQR) 2465 (1282-3947) 2550 (1900-3922) .590 Lymphocyte count (cells per mm 3 ) at COVID-19 diagnosis, median (IQR) 420 (215-1070) 500 (300-697) .985 Neutrophil count (cells per mm 3 ) at COVID-19 diagnosis, median (IQR) 1300 (555-2450) 1480 (690-2515) .677 Severity of infection At home 8 (21.2) 7 (23.1) .847 Admitted to the hospital 30 (78.9) 19 (73.1) Duration of hospitalization, days median (IQR) 27.5 (15-43.8) 7 (6-16) .022 Admitted to the ICU 14 (36.8) 4 (15.4) .054 Duration of ICU admittance, days median (IQR) 9 (4.50-29.25) 23 (6.50-51.50) .481 Treatment with MoAbs 3 (7.9) 11 (42.3) <.001 Treatment with convalescent plasma 11 (28.9) 5 (19.2) .378 Treatment with viral replication inhibitor 12 (31.6) 6 (23.1) .457 Treatment with steroids 17 (44.7) 13 (50.0) .679 Treatment with tocilizumab 2 (5.3) 4 (15.4) .172 Outcome Alive 21 (68.4) 20 (76.9) Dead 15 (39.5) 6 (23.1) .209 Cause of death COVID-19 or contributed by COVID-19 12 (31.6) 4 (15.4) .142 Hematological malignancy 3 (7.9) 2 (7.7) .589 ALL, acute lymphoid leukemia; auto HSCT, autologous HSCT. *One or more comorbidities present (chronic cardiomyopathy, chronic pulmonary disease, diabetes, liver disease, obesity, renal impairment, smoker). 13 JUNE 2023 •VOLUME 7, NUMBER 11 SARS-CoV-2 VACCINATION AND ANTIBODIES IN CAR T 2651 Downloaded from http://ashpublications.org/bloodadvances/article-pdf/7/11/2645/2056824/blooda_adv-2022-009578-main.pdf by guest on 25 July 2025 Table 3. Treatment characteristics of patients treated with and without MoAbs Non-MoAb (N = 50) N (%) MoAb (N = 14) N (%) Pvalue Sex Male 28 (56.0) 10 (71.4) .299 Female 22 (44.0) 4 (28.6) Age, median (IQR) 57 (50-67) 54 (47-67) .409 Diagnosis Diffuse large B-cell lymphoma 39 (78.0) 10 (71.4) High-grade B-cell lymphoma with MYC and BCL2/ BCL6 1 (2.0) 1 (7.1) Primary mediastinal B-cell lymphoma 3 (6.0) 1 (7.1) Transformed follicular lymphoma 1 (2.0) 1 (7.1) .516 Mantle cell lymphoma 1 (2.0) 1 (7.1) Follicular lymphoma 3 (6.0) 0 (0) B-ALL 2 (4.0) 0 (0) Number of previous lines of therapy, median (IQR) 3 (3-4) 3 (3-4) .719 Previous auto HSCT 14 (28.0) 2 (14.3) .487 Time since auto HSCT, days median (IQR) 428 (255-892) 1221 (734-1707) .267 CAR T-cell product .472 Axicabtagene ciloleucel 23 (46.0) 9 (64.3) Lisocabtagene maraleucel 1 (2.0) 0 (0) Tisagenlecleucel 23 (46.0) 4 (28.6) Other 2 (4.0) 0 (0) Unknown 1 (2.0) 1 (7.1) CAR T-cell therapy conditioning Fludarabine/cyclophosphamide 47 (94.0) 14 (100.0) 1.000 Bendamustine 1 (2.0) 0 (0) Other 1 (2.0) 0 (0) Unknown 1 (2.0) 0 (0) Time since CAR T-cell infusion, days median (IQR) 162 (65-420) 358 (126-730) .028 Variant of SARS-CoV-2 infection Wild-type 7 (14.0) 0 (0.0) Alpha mutation 2 (4.0) 1 (7.1) .046 Delta mutation 2 (4.0) 2 (14.3) Omicron mutation 11 (22.0) 7 (50.0) Unknown 28 (56.0) 4 (28.6) Number of vaccinations 0 34 (68.0) 2 (14.3) <.001 1 2 (4.0) 1 (7.1) 2 11 (22.0) 7 (50.0) 3 0 (0.0) 3 (21.4) 4 3 (6.0) 1 (7.1) Comorbidities* Not present 19 (38.0) 6 (42.9) 1.000 1 comorbidity 17 (34.0) 5 (35.7) 2 comorbidities 8 (16.0) 2 (14.3) ≥3 comorbidities 6 (12.0) 1 (7.1) Leukocyte count (cells per mm 3 ) at COVID-19 diagnosis, median (IQR) 2670 (1720-4200) 2350 (2150-2950) .786 ALL, acute lymphoid leukemia; auto HSCT, autologous HSCT. *One or more comorbidities present (chronic cardiomyopathy, chronic pulmonary disease, diabetes, liver disease, obesity, renal impairment, smoker). 2652 van DOESUM et al 13 JUNE 2023 •VOLUME 7, NUMBER 11 Downloaded from http://ashpublications.org/bloodadvances/article-pdf/7/11/2645/2056824/blooda_adv-2022-009578-main.pdf by guest on 25 July 2025 that most vaccinated patients included in this study were vaccinated twice. As shown in previous publications, patients with hematological malignancies need to be vaccinated 3 times for an optimal response. 19 The importance of a fourth vaccination and its protective effect were also shown in a previous EPICOVIDEHA study. 18 Here, 6 patients received a third or even fourth vaccination, and none of these patients died because of COVID-19 (data not shown). Recent studies show promising T-cell responses after vaccination in the CAR T-cell–treated patient category. 11,12 Unfortunately, this is not reflected in our data on survival or hospitalization rates. Probably this highlights the important role of humoral immunity in response to SARS-COV-2. After CD19-directed CAR T-cell therapy, there is a deep and long-lasting B-cell depletion. 3,4 Presumably this is the main reason for the poor serological response to vaccination. 7,10 By treatment with MoAbs, the patients seem to overcome the lack of B cells, and the combination with improved T- cell responses owing to vaccination reduces the mortality risk. A major limitation of MoAb treatment is the constant need to adjust the antibody if there is a new viral mutation, limiting its use in daily practice. But showing the high efficacy in this patient category underpins the need for the continuous development of new antibodies and should encourage investors to invest in this life-saving type of therapy. A limitation of this study is the small sample size, its retrospective nature, the varying treatment protocols over time and country, and the fact that in half the patients, the viral variant is unknown. In addition, data for in-depth analyses of B-cell and T-cell recovery and the timing of interventions are missing. We need to be cautious with definitive conclusions and larger studies are therefore needed. Moreover, because of the restricted therapeutic interventions at relapse after CAR T-cell therapy, the mortality of COVID-19 could be overestimated. In 14% of the cases, it was reported that the malignancy contributed to death. Possibly, it was decided to give patients with active disease only part of the full COVID-19 treatment, including intensive care. Another bias could be the underreporting of outpatients in the survey, resulting in a higher relative mortality attributed to COVID-19. In conclusion, we find that the survival of CAR T-cell recipients with COVID-19 is better than previously reported, that vaccination significantly reduces the duration of hospitalization, and that the combination of vaccination and MoAbs significantly reduces the risk of death due to COVID-19 in these patients. However, because of the retrospective nature of this study and the ongoing improvement in both COVID-19 treatment and viral variants, a causal relationship cannot be established. As such, we strongly advise patients who received CAR T-cell therapy to get vaccinated and for clinicians to consider therapy with MoAbs if available. Thereby also highlighting the need to for further development of new MoAbs against SARS-Cov-2 and other viral infections. Table 3 (continued) Non-MoAb (N = 50) N (%) MoAb (N = 14) N (%) Pvalue Lymphocyte count (cells per mm 3 ) at COVID-19 diagnosis, median (IQR) 500 (230-1000) 400 (270-700) .931 Neutrophil count (cells per mm 3 ) at COVID-19 diagnosis, median (IQR) 1250 (570-2620) 1740 (1245-2045) .470 Severity of infection At home 10 (20.0) 4 (28.6) .493 Admitted to the hospital 40 (80.0) 10 (71.4) .493 Admitted to the ICU 15 (30.0) 3 (21.4) .659 Treatment with MoAbs0 (0.0) 14 (100.0) <.001 Type of MoAb Bamlanivimab/etesevimab 0 (0.0) 1 (7.1) Casirivimab/imdevimab 0 (0.0) 3 (21.4) <.001 Sotrovimab 0 (0.0) 10 (71.4) Treatment with convalescent plasma 13 (26.0) 3 (21.4) .725 Treatment with viral replication inhibitor 14 (28.0) 4 (28.6) .966 Treatment with steroids 24 (48.0) 6 (42.9) .733 Treatment with tocilizumab 5 (10.0) 1 (7.1) .746 Outcome Alive 31 (62.0) 12 (85.7) .095 Dead 19 (38.0) 2 (14.3) Cause of death COVID-19 or contributed by COVID-19 16 (32.0) 0 (0.0) .015 Hematological malignancy 3 (6.0) 2 (14.0) .476 ALL, acute lymphoid leukemia; auto HSCT, autologous HSCT. *One or more comorbidities present (chronic cardiomyopathy, chronic pulmonary disease, diabetes, liver disease, obesity, renal impairment, smoker). 13 JUNE 2023 •VOLUME 7, NUMBER 11 SARS-CoV-2 VACCINATION AND ANTIBODIES IN CAR T 2653 Downloaded from http://ashpublications.org/bloodadvances/article-pdf/7/11/2645/2056824/blooda_adv-2022-009578-main.pdf by guest on 25 July 2025