Skip to main content
Frontiers in Immunology logoLink to Frontiers in Immunology
. 2021 Aug 10;12:704110. doi: 10.3389/fimmu.2021.704110

COVID-19 Vaccination in Fragile Patients: Current Evidence and an Harmonized Transdisease Trial

Chiara Agrati 1,, Serena Di Cosimo 2,, Daniela Fenoglio 3,4,, Giovanni Apolone 5, Fabio Ciceri 6, Gennaro Ciliberto 7, Fausto Baldanti 8, Massimo Costantini 9, Diana Giannarelli 10, Giuseppe Ippolito 11, Franco Locatelli 12, Alberto Mantovani 13,14,15, Aldo Morrone 16, Fabrizio Tagliavini 17, Antonio Uccelli 18,19, Pier Luigi Zinzani 20,21, Nicola Silvestris 22,23,*,, Maria Rescigno 14,24,
PMCID: PMC8383886  PMID: 34447374

Abstract

Patients diagnosed with malignancy, neurological and immunological disorders, i.e., fragile patients, have been excluded from COVID-19 vaccine trials. However, this population may present immune response abnormalities, and relative reduced vaccine responsiveness. Here we review the limited current evidence on the immune responses to vaccination of patients with different underlying diseases. To address open questions we present the VAX4FRAIL study aimed at assessing immune responses to vaccination in a large transdisease cohort of patients with cancer, neurological and rheumatological diseases.

Keywords: vaccine, cancer, immunocompromised, COVID-19, myasthenia, SARS-CoV-2

Introduction

The currently emergency authorized mRNA- COVID-19 vaccines - Moderna (1) and Pfizer BioNTech (2) have been evaluated in clinical trials that excluded, in accordance with the current regulations, immunocompromised subjects, and restricted participation to patients with stable underlying conditions, i.e., stable HIV infection. As a consequence of the relative lack of information, the concern of a potentially reduced efficacy of the vaccines in subjects with altered immunocompetence has arisen. In addition, the characterization of a population broadly defined as “with altered immunocompetence” in relation to the vaccination is yet to be determined. Immunosuppressive conditions, as those induced by immunological disorders and medications, may impact the ability to mount an effective immune response to infection and/or vaccination. Recently reported findings indicate that SARS-CoV-2-specific IgG antibody dynamics may differ between SARS-CoV-2- infected cancer patients and healthy individuals. Specifically, low seroconversion rates have been reported in patients with hematological malignancies (82%), and in those receiving anti-CD-20 antibody therapy (59%), and stem cell transplantation (60%). By contrast, all patients treated with immunotherapy and particularly immune checkpoint blockade seroconverted (3). Finally, scattered evidence exists that induction chemotherapy causes neither loss of antibody titer nor reactivation of the infection (4, 5).

Immune Responses Of Fragile Patients: Current Evidence

Main results from current available studies evaluating the immune response in fragile subjects, represented by humoral response in most of the cases, are summarized in Table 1. Overall, anti-SARS-CoV-2 antibody response rates in patients diagnosed with malignancies and/or disease requiring immunosuppressive therapies, was considerably low. Specifically, SARS-CoV-2 antibody responses at week 3 following the first dose of the Pfizer BioNTech vaccine were only 39% and 13% in patients with solid and hematological malignancies respectively, compared with 97% in those without cancer (6). After the second dose, the immune response improved significantly for solid tumor patients, with 95% of them showing detectable antibodies to the SARS-CoV-2. By contrast, those who did not get a vaccine boost at three weeks did not display any real improvement, with only 43% of solid tumor patients and 8% of hematologic cancer patients developing antibodies. The poor response to one single dose of vaccine was also confirmed in patients with multiple myeloma and in solid transplant recipients (7, 8). Finally, although the guidance for patients receiving chemotherapy and needing vaccines has been relatively clear so far, it is not yet so for anti-COVID-19 vaccination. In fact, an initial report indicated that vaccine non-responders were also somewhat more frequent among those who received vaccination within 15 days of cancer treatment, particularly chemotherapy (6). This finding needs to be corroborated in order to optimize the timing of vaccination while preserving the anti-cancer treatment schedule. Questions regarding the interference of treatment and disease in seroconversion and anti-SARS-CoV2 vaccine efficacy extend to several other conditions not only related to cancer (6, 7, 9, 10), but including also immunological disorders (8, 9) and disease requiring immunosuppressive therapies (8, 1315). It is therefore paramount, particularly in the current pandemic situation, to identify a methodology to address key issues about immunogenicity (e.g. the kinetic of immune response and its persistence, the neutralization capability of specific antibodies, the coordination of both humoral and cell-mediated immune responses) to optimize monitoring protocols in the highly complex fragile patient populations. It is also fundamental to evaluate whether some fragile conditions do not allow proper vaccination and these patients should therefore wait to be vaccinated or be protected differently as for instance by creating a ring of protected relations, or should receive a third boosting dose. It is also imperative to assess whether the vaccination schedule should take into account patient treatments and be delayed to avoid interference. In a time of vaccine scarcity, these issues are important for a proper vaccination national plan. A comprehensive study of the immune response in fragile patients will allow in the future to take informed decisions on the questions raised above.

Table 1.

Immune responses of fragile patients: current evidence.

Author Disease Vaccines n Immune assessment Timing of assessment Vaccine responders Comments
1^ dose (n) 2^ dose (n)
Monin-Aldama L, 2021 (5) Solid and haematological malignancies BNT162b2 151 Antibody seroconversion, T cell responses, and neutralisation of SARS-CoV-2 Wuhan strain and of a variant of concern (B.1.1.7) X (118) X (30) 15%-40% Efficacy increased by boosting at 21-days (95% within 2 weeks of boost) in solid cancer patients .
Bird S, 2021 (6) Multiple Myeloma BNT162b2 93 SARS-CoV-2 IgG antibodies directed against the Spike-protein X (93) 70%
ChAdOx1 nCoV-19
Boyarsky BJ, 2021 (7) Organ transplant BNT162b2mRNA-1273 436 SARS-CoV-2 IgG antibodies directed against the Spike-protein X (427) 31% (BNT162b2) Increased antibody response in young, in absence of immunosuppressive therapy, and with mRNA-1273.
69% (mRNA-1273)
Herishanu Y, 2021 (8) CLL BNT162b2 167 SARS-CoV-2 IgG antibodies directed against the Spike-protein X (167) 39.5% Vaccine responders: 79.2% among complete disease responders, 55.2% in treatment-naïve, and 16% in patients under treatment.
Agha M, 2021 (9) Haematological malignancies BNT162b2 67 SARS-CoV-2 Ig Ma and IgG antibodies directed against the Spike-protein X (67) 54%
mRNA-1273
Wong SI, 2021 (10) Inflammatory bowel disease BNT162b2 48 SARS-CoV-2 IgG antibodies directed against the Spike-protein, and Nucleocapsid-protein X (22) X (26) 71.4 and 100% after the 1^ and 2^ dose Decreased antibody titers in patients receiving anti-TNF therapies.
mRNA-1273
Geisen UM, 2021 (11) CID BNT162b2 26 SARS-CoV-2 IgG antibodies directed against the Spike-protein; neutralising antibodies ELISA-based neutralisation test system; SARS-CoV-2 IgA antibodies X (26) 100% IgG titres lower in patients with CID as compared with healthy controls. No patients experienced flare up of CID.
mRNA-1273
Rabinowich L, 2021 (12) Organ transplant BNT162b2 80 SARS-CoV-2 IgG antibodies directed against the Spike-protein, and Nucleocapsid-protein X (80) 47.5%
Grupper A, 2021 (13) Organ transplant BNT162b2 136 SARS-CoV-2 IgG antibodies directed against the Spike-protein X (136) 37.5%
Chavarot N, 2021 (14) Organ transplant BNT162b2 101 SARS-CoV-2 IgG antibodies directed against the Spike-protein X (101) X (35) 2% and 5.7% after the 1^ and 2^ dose
mRNA-1273

CLL, Chronic lymphocytic leukemia; CID, Chronic inflammatory diseases.

Challenges

One of the problems in designing a study on fragile subjects is that the in-scope population is very dis-homogeneous and running double blind randomized studies would pose at least two challenges. One challenge would be the number of stratification factors and the sample size required for a study sufficiently powered to provide conclusive results. The second, but not less relevant, challenge would be ethical as in the presence of an approved vaccine it would be difficult to offer only placebo to a subject who could potentially benefit of an intervention. Given the difficulties in studying these specific situations it is quite understandable why, thus far, no MAH (marketing authorization holder) has initiated any specific study and has left to the health authorities/treating physician the final benefit/risk recommendation for the single individual.

To better understand the type of immunologic response elicited by the vaccination in selected subgroups it is important to define the different categories to be studied. Firstly, some immunologic conditions are per se criteria for an altered immunocompetence such as for instance the clinical situation of patients receiving organ or bone marrow transplants and thus needing immunosuppressive therapy. Secondly, patients with a diagnosis of cancer are another subgroup which for different reasons may have alterations of their immune response and which can be further segmented in patients with advanced solid tumors (recurrent, metastatic, extended solid tumors), patients with a diagnosis of cancer (solid tumors) not necessarily advanced but under treatment (for instance chemotherapy but also antibody drug conjugates and or either immune therapies and or cell therapies) and patients with hematologic malignancies.

Objectives

In the context of the national vaccination campaign in which available vaccines are administered to fragile patients, this study would like to assess prospectively the effectiveness of the COVID-19 vaccination in these specific subgroups, and to characterize the kinetics of the immune response to the vaccination and its persistence overtime. Here we have gathered together 12 healthcare centers recognized as centers of excellence by the Italian Ministry of Health (Istituti di Ricovero e Cura a Carattere Scientifico, IRCCS) to share one common protocol of vaccine assessment that has centralized the testing of antibody responses, and their neutralizing activities, and has shared common reagents and technologies for the evaluation of the T cell response to the Spike vaccine protein (Figure 1). Hopefully, the characterization of the subgroup responses will allow to shade some light on the true efficacy of the COVID-19 vaccination in the so called altered immunocompetent population.

Figure 1.

Figure 1

Organogram of the clinical study.

Study Design

The VAX4FRIAL study is an observational, multicentre, prospective study with the general objective is to assess the effectiveness of the COVID-19 vaccination in terms of induction of humoral and cell-mediated immune responses in selected fragile (altered immunocompetence) populations, due to their underlying conditions or therapeutic treatments. It will be conducted through the creation of a network between 12 IRCCS in Italy. The study will be carried out in compliance with the Helsinki Declaration. The protocol has been approved by national competent authorities (AIFA) and the ethics committee of National Institute for Infectious diseases Lazzaro Spallanzani (IRCCS), and has been registered in ClinicalTrials.gov (NCT04848493). All patients will sign written informed consent before being enrolled for the study. We also recommended that COVID-19 vaccination studies activated independently by each institution shared the same outline as VAX4FRAIL. This recommendation was made to allow for the possible pooling of data from eligible cases not originally included in the VAX4FRAIL study.

Participants

The study design plans to recruit 1300 fragile patients, divided among the following subgroups: 1) patients affected by hematological malignancies (n= 500); 2) patients affected by solid tumors (n= 400; 3) patients affected by immunorheumatological diseases, as ANCA-associated vasculitis and interstitial lung disease in autoimmune conditions (n=200 patients); 4) patients affected by neurological diseases, as multiple sclerosis and generalized Myasthenia Gravis (n=200 patients).

Inclusion Criteria

i) Age ≥ 18 years, ii) undergoing COVID-19 vaccination with Pfizer-BioNTech or Moderna vaccine; iii) life expectancy of at least 12 months at the time of vaccine administration, according to the clinician’s evaluation; iv) Ability to understand and the willingness to sign a written informed consent document; v) Signed Informed Consent Form.

Exclusion Criteria

i) Patients with psychiatric illness/social situations that would limit compliance with study requirements; ii) History of laboratory-confirmed SARS-CoV-2 infection.

A hemogram will be performed for each patient before vaccination to evaluate the baseline levels of neutrophils, lymphocytes and monocytes. A control group of subjects without evidence of specific disease will consist of 300 Health Care Providers collected by IRCCS Spallanzani, Rome, receiving the same vaccination treatments, and assessed for humoral and cell-mediated immune responses with the same procedures of this protocol.

Procedures

According to the national and regional indications, patients enrolled in this study will be vaccinated with either the Pfizer/BioNTech or with Moderna vaccines. Patients will be monitored for antibodies and cellular immunity directed against the SARS-CoV-2 spike antigen for 12 months or until death. In particular, blood samples for immunological testing will be performed at 6 time points (Figure 2) as follows: T0, the day of vaccination; T1, the day of the booster dose (according to the schedule of the vaccines: 3 weeks after T0 for patients receiving Pfizer/BioNTech vaccine, 4 weeks after T0 for patients receiving Moderna vaccine); T2, between 5 and 7 weeks after T0 for patients receiving Pfizer/BioNTech vaccine and between 6 and 8 weeks after T0 for patients receiving Moderna vaccine; T3, 12 (± 1) weeks after T0; T4, 24 (± 2) weeks after T0; T5, 52 (± 2) weeks after T0.

Figure 2.

Figure 2

Schematic representation of the timeline of immunomonitoring of the clinical study.

Immunological Efficacy Assessment

Humoral response: For each time point the humoral immune response to vaccination will be assessed by a serological assay able to detect anti-Spike IgG antibodies in sera Possible natural infection before or after vaccination will be assessed by measuring anti-Nucleocapsid IgG antibodies. Patients with potential concurrent SARS-CoV-2 infection identified through anti-N increased level at the same time point will be excluded by this analysis. On a subset of subjects, at 2-4 weeks after the booster dose and at 12, 24 weeks after first vaccine administration, a neutralization assay will be performed to evaluate the functional activity of vaccination induced anti-Spike antibodies. Briefly, sera from patients will be tested for their ability to neutralize SARS-CoV-2 infection of VERO-E6 cells in a BSL-3 facility.

T cell immunity: The cell-mediated immune response to vaccination will be assessed by a first-line test standardized on whole blood assay. Briefly, at the laboratory of each clinical center heparin blood samples will be stimulated in the absence/presence of a pool of peptides spanning the S protein (S: PepTivator® SARS-CoV-2 ProtS, PepTivator® SARS-CoV-2 ProtS1; PepTivator® SARS-CoV-2 ProtS+, purchased by Miltenyi Biotech) for 20 hours at 37°C 5%CO2. The day after, conditioned plasma will be harvested and stored to quantify the release of IFNγ, TNFα, IL-2 and IP-10 cytokines by automated Immunoassay assay (Protein Simle, Biotechne). Moreover, peripheral blood mononuclear cells (PBMC) will be isolated and stored to allow subsequent other T cell assay (e.g., ELISpot assay).

All serological assays, quantification of released cytokines in conditioned plasma and ELISpot assay will be centralized in the Spallanzani laboratory to generate homogeneous data by sharing reagents and technologies.

Data Collection

A standard electronic case report form (e-CRF) will be designed at the beginning of our study by the Fondazione IRCCS Istituto Nazionale dei Tumori, Milano Clinical Trial Center. It will be used to obtain demographic information, disease history, surgical details, imaging features and outcome events of participants. Following registration, patient data will be collected in the e-CRF. Clinical and centrally collected and processed laboratory data will be analysed by the study sponsor IRCCS Reggio Emilia.

Sample Size

In this context of high uncertainty on short- and long-term effect of vaccination, the approach to this observational study will be mainly descriptive and based on confidence intervals rather than hypotheses testing. According to immunological tests on a sample of 250 Health Care Providers analysed in the laboratories of the IRCCS Regina Elena, Rome, the geometric mean titer after one week from the second vaccine administration was about 286 AU/ml with a 95% confidence interval ranging from 250 to 328.

As an indication of how many patients we could include for each subgroup we may consider the use of the Student t-test on logarithm of concentration to assess differences in titer at a specific time-point between subgroups of patients and subjects without evidence of disease.

Under these assumptions a sample size of 100 patients for each subgroup will allow to assess differences in terms of geometric mean of titers of about 80 AU/ml with a power of 80% at a significance level of 5% when the standard deviation, on the logarithmic scale, is equal to 1.

Statistical Analysis

Descriptive analyses will be carried out and include statistics such as arithmetic mean, median and geometric mean, with corresponding 95% CIs for continuous outcomes generated by the immunological tests at each time point (at first dose, at second dose, 2 weeks after the second dose, at 3, 6 and 12 months after first vaccine administration). Percentages with corresponding 95% CIs will be computed to describe the frequency of COVID-19 infection and to report adverse events.

Analyses at specific time-points will be considered as well as a repeated measurements ANOVA will be implemented to study the trend over time in each subgroup with respect to subjects without evidence of considered diseases.

Analyses will be carried out overall and within each subgroup (underlying conditions and referents) to point out differences related to the specific condition. Sub-group analyses will be performed also for socio-demographic subgroups and comorbidities according to the consistency and other relevant variables of each subgroup. No missing data imputations is planned.

Expected Outcomes

We consider the VAX4FRAIL study to be important for the Italian Health Care System not only because of the unquestionable value of the evidence that will produce in the national and international context, which will be able to guide the clinical and healthcare behavior of these citizens, whose numbers are estimated at many millions, but also and above all because it will represent a model of collaboration between Research Institutes that will be useful in the future to answer questions that are relevant for scientific and policy priorities. As we will collect metadata of the patients, including treatments, demographical parameters, comorbidities, etc. we will perform post-hoc sub-analyses to correlate the immune response to the collected features. Given the heterogeneity of the patients, we have not included these analyses in the study objectives but statistically relevant, they will be particularly instructive to take informed decisions on which patients will be needing a third dose and the type of treatments to avoid or postpone in order to favor immune induction.

Going beyond considering simply the scientific results of the combined study, there are a number of further advantages, including: the use of standardized and validated diagnostic procedures throughout the country, the possibility of building a cohort to be followed over time, which can also be used to decide on possible recalls or for scheduling the use of monoclonal antibodies for high-risk patients (non-responders), the possibility of building a collection of biological samples for future studies (bio-banks).

This initiative confirms the absolute centrality of the IRCCS network, a unique model on the international scene, which proposes itself as the fundamental element of the NHS (16). It is now considered as a national sentinel system for monitoring the response to the vaccination campaign in particularly fragile subjects, and in the future, it will be the most appropriate system for responding to other health issues in order to optimize regional and national health policies.

Author Contributions

CA, NS, SDC, GA, AMa contributed to conception and design of the study. SC, DF organized the database. CA, SDC, MC, DG, GI wrote the first draft of the manuscript. All authors contributed to the article and approved the submitted version.

Conflict of Interest

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

The reviewer AT declared a shared affiliation with one of the authors, FC, to the handling editor at the time of review.

Publisher’s Note

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.

Acknowledgments

We thank all the components of the VAX4FRAIL study group: The VAX4FRAIL Study group: PRINCIPAL INVESTIGATORS (alphabetical order): Dott. Giovanni Apolone, Fondazione IRCCS Istituto Nazionale dei Tumori di Milano; Dott. Massimo Costantini, Azienda USL-IRCCS Reggio Emilia; Prof. Alberto Mantovani, IRCCS Istituto Clinico Humanitas, Milano; STEERING COMMITTEE (alphabetical order): Dott. Giovanni Apolone, Fondazione IRCCS Istituto Nazionale dei Tumori di Milano; Prof. Fabio Ciceri, IRCCS Ospedale San Raffaele, Milano; Prof. Gennaro Ciliberto, IRCCS Istituto Nazionale Tumori Regina Elena, Roma; Dott. Massimo Costantini, Azienda USL-IRCCS Reggio Emilia; Prof. Giuseppe Ippolito, IRCCS Istituto per le Malattie Infettive Lazzaro Spallanzani, Roma; Prof. Franco Locatelli, Università La Sapienza, Roma; Prof. Alberto Mantovani, IRCCS Istituto Clinico Humanitas, Milano; Prof. Fausto Baldanti, Fondazione IRCCS Policlinico San Matteo di Pavia; Prof. Aldo Morrone, Istituto Dermatologico San Gallicano IRCCS, Roma; Prof. Nicola Silvestris, IRCCS Istituto Tumori “Giovanni Paolo II”, Bari; dott. Fabrizio Tagliavini, Fondazione IRCCS Istituto Neurologico Carlo Besta, Milano; Prof. Antonio Uccelli, Ospedale Policlinico San Martino IRCCS, Genova; Prof. Pier Luigi Zinzani, IRCCS Azienda Ospedaliero-Universitaria di Bologna; DISEASE GROUPS 1. HAEMATOLOGICAL MALIGNANCIES Referent: Dott. Paolo Corradini, Fondazione IRCCS Istituto Nazionale dei Tumori, Milano; 2. SOLID TUMORS Referent: Prof. Gennaro Ciliberto, IRCCS Istituto Nazionale Tumori Regina Elena, Roma; 3. IMMUNORHEUMATOLOGICAL DISEASES Referent: Prof. Carlo Salvarani, Azienda USL-IRCCS Reggio Emilia; 4. NEUROLOGICAL DISEASES Referent: Prof. Antonio Uccelli, Ospedale Policlinico San Martino IRCCS, Genova; dott. Renato Mantegazza, Neurology IV Unit Neuroimmunology and Neuromuscular Diseases, Fondazione I.R.C.C.S Istituto Neurologico Carlo Besta (INCB), Milan IMMUNOLOGICAL GROUP Referents: Dott. Chiara Agrati, IRCCS Istituto per le Malattie Infettive Lazzaro Spallanzani, Roma; Prof. Maria Rescigno, IRCCS Istituto Clinico Humanitas, Milano; Dott. Daniela Fenoglio, Ospedale Policlinico San Martino IRCCS, Genova; PARTICIPANTS: Dott. Roberta Mortarini, Fondazione IRCCS Istituto Nazionale dei Tumori di Milano; Dott. Cristina Tresoldi, IRCCS Ospedale San Raffaele, Milano; Dott. Laura Conti, IRCCS Istituto Nazionale Tumori Regina Elena, Roma; Dott. Stefania Croci, Azienda USL-IRCCS Reggio Emilia; Dott. Fausto Baldanti, Fondazione IRCCS Policlinico San Matteo di Pavia; Dott. Vito Garrisi, IRCCS Istituto Tumori “Giovanni Paolo II”, Bari; Dott. Fulvio Baggi, Fondazione IRCCS Istituto Neurologico Carlo Besta, Milano; Dott. Francesca Bonifazi, IRCCS Azienda Ospedaliero-Universitaria di Bologna; Dott. Fulvia Pimpinelli, Istituto Dermatologico San Gallicano IRCCS, Roma; STATISTICAL COMMITTEE Dott. Diana Giannarelli, IRCCS Istituto Nazionale Tumori Regina Elena, Roma; e-CRF AND MONITORING REFERENT: Dott. Valentina Sinno and Dott. Serena Di Cosimo, Fondazione IRCCS Istituto Nazionale dei Tumori di Milano; STUDY COORDINATORS: Dott. Giovanni Apolone, Fondazione IRCCS Istituto Nazionale dei Tumori di Milano; Dott. Massimo Costantini, Azienda USL-IRCCS Reggio Emilia; Prof. Giuseppe Ippolito, IRCCS Istituto per le Malattie Infettive Lazzaro Spallanzani, Roma; Prof. Franco Locatelli, Università La Sapienza, Roma; PROJECT MANAGER OF THE STUDY: Dott. Candida Bonelli and Dott. Elena Turola, Azienda USL-IRCCS di Reggio Emilia.

We are indebted for their precious support to the Research Director Dr. Giovanni Leonardi, and the Deputy General Director for Health Research and Innovation Dr. Gaetano Guglielmi, from the Italian Ministry of Health. We would also like to thank the patients who will be enrolled in the VAX4FRAIL study and their families, and all those who will be actively involved in their continuous care, study data collection and analysis, and ultimately in the scientific production that will result from this research.

References

  • 1.Available at: https://www.ema.europa.eu/en/documents/product-information/covid-19-vaccine-moderna-eparproduct-information_en.pdf.
  • 2.Available at: https://www.ema.europa.eu/en/documents/product-information/comirnaty-epar-productinformation_en.pdf.
  • 3.Thakkar A, Pradhan K, Jindal S, Cui Z, Rockwell B, Shah AP, et al. Patterns of Seroconversion for SARS-CoV-2 IgG in Patients With Malignant Disease and Association With Anticancer Therapy. Nat Cancer (2021) 2:392–9.   10.1038/s43018-021-00191-y [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 4.Dantonello TM, Kartal-Kaess M, Aebi C, Suter-Riniker F, Busch JD, Kubetzko S, et al. Sars-CoV-2 Infection During Induction Chemotherapy in a Child With High-Risk T-Cell Acute Lymphoblastic Leukemia (T-ALL). J Pediatr Hematol Oncol (2020).   10.1097/MPH.0000000000001943 [DOI] [PubMed] [Google Scholar]
  • 5.Monin L, Laing AG, Muñoz-Ruiz M, McKenzie DR, Del Molino Del Barrio I, et al. Safety and Immunogenicity of One Versus Two Doses of the COVID-19 Vaccine BNT162b2 for Patients With Cancer: Interim Analysis of a Prospective Observational Study. Lancet Oncol (2021) 22:765–78.   10.1016/S1470-2045(21)00213-8 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 6.Bird S, Panopoulou A, Shea RL, Tsui M, Saso R, Sud A, et al. Response to First Vaccination Against SARS-CoV-2 in Patients With Multiple Myeloma. Lancet Haematol (2021) 8(6):e389–92.   10.1016/S2352-3026(21)00110-1 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 7.Boyarsky BJ, Werbel WA, Avery RK, Tobian AAR, Massie AB, Segev DL, et al. Immunogenicity of a Single Dose of SARS-CoV-2 Messenger RNA Vaccine in Solid Organ Transplant Recipients. JAMA (2021) 325:1784–6.   10.1001/jama.2021.4385 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 8.Herishanu Y, Avivi I, Aharon A, Shefer G, Levi S, Bronstein Y, et al. Efficacy of the BNT162b2 mRNA COVID-19 Vaccine in Patients With Chronic Lymphocytic Leukemia. Blood (2021) 137:3165–73.   10.1182/blood.2021011568 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 9.Mounzer A, Maggie B, Charles C, Alan W, Ghady H. Suboptimal Response to COVID-19 mRNA Vaccines in Hematologic Malignancies Patients. medRxiv (2021).   10.1101/2021.04.06.21254949 [DOI] [Google Scholar]
  • 10.Wong SY, Dixon R, Martinez Pazos V, Gnjatic S, Colombel JF, et al. Serologic Response to Messenger RNA Coronavirus Disease 2019 Vaccines in Inflammatory Bowel Disease Patients Receiving Biologic Therapies. Gastroenterologys (2021) 20:S0016-5085(21)00648-X.   10.1053/j.gastro.2021.04.025 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 11.Geisen UM, Berner DK, Tran F, Sümbül M, Vullriede L, Ciripoi M, et al. Immunogenicity and Safety of Anti-SARS-CoV-2 mRNA Vaccines in Patients With Chronic Inflammatory Conditions and Immunosuppressive Therapy in a Monocentric Cohort. Ann Rheum Dis (2021).   10.1136/annrheumdis-2021-220272 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 12.Rabinowich L, Grupper A, Baruch R, Ben-Yehoyada M, Halperin T, Turner D, et al. Low Immunogenicity to SARS-CoV-2 Vaccination Among Liver Transplant Recipients. J hepatol (2021) 75:435–8.   10.1016/j.jhep.2021.04.020 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 13.Grupper A, Sharon N, Finn T, Cohen R, Israel M, Agbaria A, et al. Humoral Response to the Pfizer Bnt162b2 Vaccine in Patients Undergoing Maintenance Hemodialysis. CJASN (2021).   10.2215/CJN.03500321 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 14.Chavarot N, Ouedrani A, Marion O, Leruez-Ville M, Villain E, Baaziz M, et al. Poor Anti-SARS-CoV-2 Humoral and T-Cell Responses After 2 Injections of Mrna Vaccine in Kidney Transplant Recipients Treated With Belatacept. Transplantation (2021).   10.1097/TP.0000000000003784 [DOI] [PubMed] [Google Scholar]
  • 15.Pearce J, Friar S, Jigoulina G, Bate J. Sars CoV-2 Antibody Persistence During Induction Chemotherapy for Pediatric T-Cell Acute Lymphoblastic Leukemia. J Pediatr Hematol Oncol (2021).   10.1097/MPH.0000000000002182 [DOI] [PubMed] [Google Scholar]
  • 16.Silvestris N, Apolone G, Botti G, Ciliberto G, Costantini M, De Paoli P, et al. A Moonshot Approach Toward the Management of Cancer Patients in the COVID-19 Time: What Have We Learned and What Could the Italian Network of Cancer Centers (Alliance Against Cancer, ACC) Do After the Pandemic Wave? J Exp Clin Cancer Res (2020) 39:109.   10.1186/s13046-020-01614-x [DOI] [PMC free article] [PubMed] [Google Scholar]

Articles from Frontiers in Immunology are provided here courtesy of Frontiers Media SA

RESOURCES