Literature DB >> 34657156

Severe impairment of T-cell responses to BNT162b2 immunization in patients with multiple myeloma.

Julius C Enßle1,2,3,4, Julia Campe2,5,6, Amelie Schwenger2,5,6, Eliza Wiercinska7,8, Helen Hellstern7,8, Ralf Dürrwald9, Michael A Rieger1,2,3,4, Sebastian Wolf1,2,3,4, Olivier Ballo1, Björn Steffen1, Hubert Serve1,2,3,4, Halvard Bonig7,8, Holger F Rabenau10, Marek Widera10, Sandra Ciesek10,11, Ivana von Metzler1,2,3,4, Evelyn Ullrich2,3,4,5,6.   

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Year:  2022        PMID: 34657156      PMCID: PMC8734828          DOI: 10.1182/blood.2021013429

Source DB:  PubMed          Journal:  Blood        ISSN: 0006-4971            Impact factor:   22.113


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TO THE EDITOR: Multiple myeloma (MM) comprises a plasma-cell neoplasia associated with severe suppression of the cellular immune system and reduced immunoglobulin production.1, 2 Owing to the disease and continuous therapies, most patients with MM lack normal plasma and B cells; hence, they are susceptible to severe infections. In line with that, the first US study on coronavirus disease 2019 (COVID-19) in MM patients reported mortality rates of almost 20%.3 As soon as the first vaccines against severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) became available, cancer patients were immunized with high priority.4, 5, 6 However, diminished humoral responses to different vaccines in patients with B-cell malignancies have been reported.7, 8 Regarding the exceptional collective of patients with MM, a highly variable but impaired serological response to SARS-CoV-2 vaccination has recently been observed.9, 10, 11, 12, 13, 14 Even lower serological immunization success rates were associated with concomitant therapy.12, 13, 14 Although the immune response after SARS-CoV-2 vaccination may also be mediated by T-cell-dependent mechanisms, there are no detailed data on the T-cell immune response after patients with MM had been vaccinated.15 Therefore, we have initiated a single-center observational study monitoring clinical features, immune cell status, serological and T-cell response after SARS-CoV-2 immunization. Here, we report on the SARS-CoV-2-specific T-cell response following 2 doses of the BNT162b2 vaccine in a clinically well-defined cohort of patients with MM and address its correlation with serological response as well as immunological parameters before and after vaccination and in the context with the current therapy. Overall, 77 patients with MM and 24 controls were included in this interim analysis (supplemental Tables 1 and 2, available on the Blood Web site). The timespan between priming and second vaccination ranged from around 21 days (35 patients and 12 controls) to around 42 days (42 patients and 12 controls). Analysis of SARS-CoV-2 spike-binding immunoglobulin G (IgG) antibody levels after the second dose (median time, 21 days) revealed relatively lower median IgG levels (191.4 vs 1520.3 BAU/mL, P < .001; Figure 1A ) and neutralization titers (NTs) against the SARS-CoV-2 wild-type (WT) strain (1:20 vs 1:80, P = .006; Figure 1B) and the α-variant B.1.1.7 (B.1.1.7) (1:10 vs 1:40, P < .001; Figure 1C) of patients with MM compared with healthy controls. Generating NTs against both strains was significantly impaired by concomitant MM therapy, but not by maintenance (Figure 1D,E). IgG and NT levels correlated well, and despite a trend toward lower NTs for B.1.1.7, no significant differences for WT and B.1.1.7 NTs could be observed (Figure 1F). Because NTs ≥1:20 are considered protective against SARS-CoV-2, patients with MM with NTs ≥1:20 were defined as serological responders, whereas patients with NTs <1:20 were defined as serological nonresponders.16, 17 By receiver-operator curve (ROC) analysis, we identified IgG levels ≥143.5 BAU/mL to correspond with WT NTs of ≥1:20. Nonresponders displayed older age (70 vs 64 years, P = .028) and frequently received MM therapy (50.5% vs 19.5%, P = .011; supplemental Tables 1 and 5). Patients receiving lenalidomide maintenance or immunomodulatory drug-based therapy trended toward higher response rates without statistical significance because of low sample size or multidrug combinatorial treatment.
Figure 1

Serological response after two doses of mRNA SARS-CoV-2 vaccination. (A) SARS-CoV-2 (Spike) antibody (AB) levels stratified for healthy controls (Ctrl) vs patients with multiple myeloma (MM) (≥8.52-11 360 BAU/mL considered as positive). The gray dashed line denotes the spike IgG cutoff of 143.5 BAU/mL corresponding to a WT neutralization titer ≥1:20 as determined by ROC analysis. WT neutralization titers stratified for healthy controls vs patients with MM (B) and healthy controls in comparison with different therapy status (none, on therapy, and on maintenance) of patients with MM (D). B.1.1.7 neutralization titers stratified for healthy controls vs patients with MM (C) and healthy controls in comparison with different therapy status of patients with MM (E). (F) Comparison of neutralization titers against WT and B.1.1.7. Gray lines in panels B-F denote a neutralization titer ≥1:20 corresponding to adequate protective neutralization capacity. P values are corrected for multiple testing with the Benjamini-Hochberg method.

Serological response after two doses of mRNA SARS-CoV-2 vaccination. (A) SARS-CoV-2 (Spike) antibody (AB) levels stratified for healthy controls (Ctrl) vs patients with multiple myeloma (MM) (≥8.52-11 360 BAU/mL considered as positive). The gray dashed line denotes the spike IgG cutoff of 143.5 BAU/mL corresponding to a WT neutralization titer ≥1:20 as determined by ROC analysis. WT neutralization titers stratified for healthy controls vs patients with MM (B) and healthy controls in comparison with different therapy status (none, on therapy, and on maintenance) of patients with MM (D). B.1.1.7 neutralization titers stratified for healthy controls vs patients with MM (C) and healthy controls in comparison with different therapy status of patients with MM (E). (F) Comparison of neutralization titers against WT and B.1.1.7. Gray lines in panels B-F denote a neutralization titer ≥1:20 corresponding to adequate protective neutralization capacity. P values are corrected for multiple testing with the Benjamini-Hochberg method. Further, T-cell response is induced by BNT162b2 and natural SARS-CoV-2 infection and plays a central role in shielding infection.18 However, it has been reported that SARS-CoV-2-specific T-cell responses were disturbed in cancer patients.19 Therefore, emphasis on T-cell responses in B-cell-deficient patients after vaccination is essential. First, we analyzed immune cell subsets of MM patients' peripheral blood before priming and after second vaccination and their correlation with serological responsiveness. Overall, patients with MM showed decreased CD19+ B-cell and CD4+ T-cell counts. Interestingly, no differences between serological responders and nonresponders were observed for CD3+ and CD8+ T-cell subsets and their activation state, whereas we observed a significantly lower median of CD19+ B-lymphocytes/µL of nonresponders compared with serological responders before and after vaccination. A significantly lower median of CD4+ T cells was further observed in serological nonresponders following the second vaccination (supplemental Figure 1). Additionally, the functional T-cell response after 2 doses of SARS-CoV-2 vaccination was analyzed via enzyme-immunospot assay (ELISpot) in a subcohort of 38 patients with MM and 14 healthy controls (supplemental Table 4). Stimulation was performed with the receptor-binding domain (RBD), the S2-protein (S2), and CEF/CEFT control peptides to quantify spot forming units (SFUs) as parameter of vaccination-induced T-cell responsiveness (Figure 2A-C,E ). ROC analysis revealed 55 SFUs per 3 × 105 peripheral blood mononuclear cells (PBMCs) as threshold of a positive T-cell response with reasonable test sensitivity and false-positive rate (specificity >95% [95.5%] with sensitivity >50% [53.8%]; Figure 2D). Further, we used this cutoff to define T-cell responders and nonresponders: 44.2% (n = 23) of all investigated individuals reached ≥55 SFUs per 3 × 105 PBMCs, whereas patients with MM displayed a lower probability of T-cell response compared with healthy controls (34.2% vs 71.4%, P = .037; supplemental Table 4). The RBD-specific response was impaired in patients with MM in contrast to healthy controls (P = .019; Figure 2A) and the response to S2, which is well conserved between different coronaviruses and less specific for SARS-CoV-2, displayed no significant differences (Figure 2B). Patients with MM showed a comparable response to healthy controls after CEF/CEFT control peptide stimulation (Figure 2C). Bivariate representation of serologic response and T-cell response levels showed that serologic responders of patients with MM often exhibited higher SFU compared with serologic nonresponders. However, some serologic MM nonresponders also achieved SFU counts above the threshold of 55 SFU per 3 × 105 PBMCs (supplemental Figure 2A-F). No positive correlation was observed between T-cell and serologic responses in patients with MM (Figure 2F). In contrast, most healthy controls displayed high T-cell and serologic response values (Figure 2A-C). Here, response to S2 stimulation displayed a certain correlation with serologic response (supplemental Figure 2G). However, no independent factors contributing to impaired T-cell responses in patients with MM could be identified via multivariate logistic regression (Figure 2G).
Figure 2

T-cell response after 2 doses of SARS-CoV-2 vaccination. (A) Receptor-binding domain (RBD)-specific spot-forming units (SFUs) per 3 × 105 peripheral blood mononuclear cells (PMBCs) stratified for healthy controls (Ctrl) vs patients with MM for quantification of IFN-γ-mediated T-cell response. (B) S2-specific SFUs and (C) CEF/CEFT-specific SFUs per 3 × 105 PBMCs stratified for Ctrls vs patients with MM. SFUs in the negative control were subtracted from all RBD, S2, and CEF/CEFT-peptide treated conditions to normalize for unspecific IFN-γ secretion. Dashed horizontal lines indicate cutoff, determined by ROC analysis for T-cell response (D). The graph shows the tests sensitivity plotted against the specificity (100% − proportion of false positives) measured by the IFN-γ response of healthy individuals before and after SARS-CoV-2 vaccination (T1 and T3) upon stimulation with S2 and RBD peptides (area = 0.7767; 95% confidence interval, 0.6431-0.9121, P = .002). We selected a cutoff value of 55 SFU per 3 × 105 PBMCs because this value still yields a specificity >95% (95.5%), whereas the sensitivity is >50% (53.8%). (E) Representative images of IFN-γ ELISpot from patients with MM who did or did not respond in comparison with a healthy control who responded to the vaccination. (F) Spearman correlation matrix for levels of serologic response, T-cell response, and prevaccination immune cell status. The color axis corresponds to the Spearman correlation coefficient for each correlation. P values are reported as *<.05, **<0.01, ***<.001. (G) Multivariate logistic regression analysis for factors affecting achievement of T-cell response with numeric report of the odds ratio (OR) and P values <.05 are indicated with *.

T-cell response after 2 doses of SARS-CoV-2 vaccination. (A) Receptor-binding domain (RBD)-specific spot-forming units (SFUs) per 3 × 105 peripheral blood mononuclear cells (PMBCs) stratified for healthy controls (Ctrl) vs patients with MM for quantification of IFN-γ-mediated T-cell response. (B) S2-specific SFUs and (C) CEF/CEFT-specific SFUs per 3 × 105 PBMCs stratified for Ctrls vs patients with MM. SFUs in the negative control were subtracted from all RBD, S2, and CEF/CEFT-peptide treated conditions to normalize for unspecific IFN-γ secretion. Dashed horizontal lines indicate cutoff, determined by ROC analysis for T-cell response (D). The graph shows the tests sensitivity plotted against the specificity (100% − proportion of false positives) measured by the IFN-γ response of healthy individuals before and after SARS-CoV-2 vaccination (T1 and T3) upon stimulation with S2 and RBD peptides (area = 0.7767; 95% confidence interval, 0.6431-0.9121, P = .002). We selected a cutoff value of 55 SFU per 3 × 105 PBMCs because this value still yields a specificity >95% (95.5%), whereas the sensitivity is >50% (53.8%). (E) Representative images of IFN-γ ELISpot from patients with MM who did or did not respond in comparison with a healthy control who responded to the vaccination. (F) Spearman correlation matrix for levels of serologic response, T-cell response, and prevaccination immune cell status. The color axis corresponds to the Spearman correlation coefficient for each correlation. P values are reported as *<.05, **<0.01, ***<.001. (G) Multivariate logistic regression analysis for factors affecting achievement of T-cell response with numeric report of the odds ratio (OR) and P values <.05 are indicated with *. Concisely, patients with MM displayed a reduced T-cell response after 2 doses of SARS-CoV-2 vaccination compared with healthy controls. Previously, it was shown that CD8+ T cells might drive recovery from COVID-19 when humoral immunity is compromised.20 To better understand the distribution of SARS-CoV-2-specific T-cell subpopulations, we performed additional fluorescence-activated cell sorting analyses in a subcohort of patients and healthy controls. Here, we observed limited increase in interferon-γ (IFN-γ) and interleukin-2 presenting CD3+ T cells in patients with MM compared with healthy controls after SARS-CoV-2-specific peptide stimulation (supplemental Figure 2H). This observation was largely determined by lower frequencies of IFN-γ+ or interleukin-2+-secreting CD4+ T cells, whereas the frequency of respective CD8+ T cells after stimulation did not differ between patients and healthy controls (supplemental Figure 2I-P). These data are in line with our observation that the MM population is characterized by reduced CD4+ and normal CD8+ T-cell counts (supplemental Figure 1C,D). Taken together, T-cell responses to RBD were significantly diminished in patients with MM compared with healthy controls, with only 34.2% of patients developing T-cell-derived immune response. T-cell response rates among serological responders (44.1%) vs nonresponders (44.4%) did not differ significantly. Regarding T-cell subset distribution, we identified reduced levels of SARS-CoV-2-specific IFN-γ+CD4+ but not of IFN-γ+CD8+ T cells in patients with MM. In conclusion, we identified reduced serological and T-cell responses in patients with MM compared with healthy controls. Although more data with longer follow-up are expected from our longitudinal observational study, our data support the design of trials for repetitive boost vaccinations in immunocompromised patients, whenever possible in larger transnational consortia studies.8 In general, we urge for vaccination in all eligible individuals. Otherwise, there is an increasing risk of avoidable and potentially persistent infections and the evolution of novel virus strains with escape mutations to current vaccines and their spread into the communities.21, 22, 23, 24, 25 In cases where it is unknown whether an immunocompromised patient has achieved sufficient immunity to dominant variants, we recommend advising the patients to follow the rules established for nonvaccinated patients.
  24 in total

1.  Preexisting and Post-COVID-19 Immune Responses to SARS-CoV-2 in Patients with Cancer.

Authors:  Tatjana Bilich; Malte Roerden; Yacine Maringer; Annika Nelde; Jonas S Heitmann; Marissa L Dubbelaar; Andreas Peter; Sebastian Hörber; Jens Bauer; Jonas Rieth; Marcel Wacker; Fiamma Berner; Lukas Flatz; Stefanie Held; Peter Brossart; Melanie Märklin; Philipp Wagner; Eva Erne; Reinhild Klein; Hans-Georg Rammensee; Helmut R Salih; Juliane S Walz
Journal:  Cancer Discov       Date:  2021-05-19       Impact factor: 39.397

2.  CD8+ T cells contribute to survival in patients with COVID-19 and hematologic cancer.

Authors:  Erin M Bange; Nicholas A Han; Paul Wileyto; Justin Y Kim; Sigrid Gouma; James Robinson; Allison R Greenplate; Madeline A Hwee; Florence Porterfield; Olutosin Owoyemi; Karan Naik; Cathy Zheng; Michael Galantino; Ariel R Weisman; Caroline A G Ittner; Emily M Kugler; Amy E Baxter; Olutwatosin Oniyide; Roseline S Agyekum; Thomas G Dunn; Tiffanie K Jones; Heather M Giannini; Madison E Weirick; Christopher M McAllister; N Esther Babady; Anita Kumar; Adam J Widman; Susan DeWolf; Sawsan R Boutemine; Charlotte Roberts; Krista R Budzik; Susan Tollett; Carla Wright; Tara Perloff; Lova Sun; Divij Mathew; Josephine R Giles; Derek A Oldridge; Jennifer E Wu; Cécile Alanio; Sharon Adamski; Alfred L Garfall; Laura A Vella; Samuel J Kerr; Justine V Cohen; Randall A Oyer; Ryan Massa; Ivan P Maillard; Kara N Maxwell; John P Reilly; Peter G Maslak; Robert H Vonderheide; Jedd D Wolchok; Scott E Hensley; E John Wherry; Nuala J Meyer; Angela M DeMichele; Santosha A Vardhana; Ronac Mamtani; Alexander C Huang
Journal:  Nat Med       Date:  2021-05-20       Impact factor: 87.241

3.  Neutralizing antibody levels are highly predictive of immune protection from symptomatic SARS-CoV-2 infection.

Authors:  David S Khoury; Deborah Cromer; Arnold Reynaldi; Timothy E Schlub; Adam K Wheatley; Jennifer A Juno; Kanta Subbarao; Stephen J Kent; James A Triccas; Miles P Davenport
Journal:  Nat Med       Date:  2021-05-17       Impact factor: 87.241

4.  Priority COVID-19 Vaccination for Patients with Cancer while Vaccine Supply Is Limited.

Authors:  Antoni Ribas; Rajarshi Sengupta; Trevan Locke; Sayyed Kaleem Zaidi; Katie M Campbell; John M Carethers; Elizabeth M Jaffee; E John Wherry; Jean-Charles Soria; Gypsyamber D'Souza
Journal:  Cancer Discov       Date:  2020-12-19       Impact factor: 38.272

5.  Shedding of Viable SARS-CoV-2 after Immunosuppressive Therapy for Cancer.

Authors:  Teresa Aydillo; Ana S Gonzalez-Reiche; Sadaf Aslam; Adriana van de Guchte; Zenab Khan; Ajay Obla; Jayeeta Dutta; Harm van Bakel; Judith Aberg; Adolfo García-Sastre; Gunjan Shah; Tobias Hohl; Genovefa Papanicolaou; Miguel-Angel Perales; Kent Sepkowitz; N Esther Babady; Mini Kamboj
Journal:  N Engl J Med       Date:  2020-12-01       Impact factor: 91.245

6.  Low neutralizing antibody responses against SARS-CoV-2 in older patients with myeloma after the first BNT162b2 vaccine dose.

Authors:  Evangelos Terpos; Ioannis P Trougakos; Maria Gavriatopoulou; Ioannis Papassotiriou; Aimilia D Sklirou; Ioannis Ntanasis-Stathopoulos; Eleni-Dimitra Papanagnou; Despina Fotiou; Efstathios Kastritis; Meletios A Dimopoulos
Journal:  Blood       Date:  2021-07-01       Impact factor: 22.113

7.  Response to first vaccination against SARS-CoV-2 in patients with multiple myeloma.

Authors:  Sarah Bird; Aikaterini Panopoulou; Robyn L Shea; Micky Tsui; Radovan Saso; Amit Sud; Sharon West; Katy Smith; John Barwood; Ewa Kaczmarek; Carmela Panlaqui; Martin Kaiser; Simon Stern; Charlotte Pawlyn; Kevin Boyd
Journal:  Lancet Haematol       Date:  2021-04-19       Impact factor: 18.959

8.  COVID-19 vaccine BNT162b1 elicits human antibody and TH1 T cell responses.

Authors:  Ugur Sahin; Alexander Muik; Evelyna Derhovanessian; Isabel Vogler; Lena M Kranz; Mathias Vormehr; Alina Baum; Kristen Pascal; Jasmin Quandt; Daniel Maurus; Sebastian Brachtendorf; Verena Lörks; Julian Sikorski; Rolf Hilker; Dirk Becker; Ann-Kathrin Eller; Jan Grützner; Carsten Boesler; Corinna Rosenbaum; Marie-Cristine Kühnle; Ulrich Luxemburger; Alexandra Kemmer-Brück; David Langer; Martin Bexon; Stefanie Bolte; Katalin Karikó; Tania Palanche; Boris Fischer; Armin Schultz; Pei-Yong Shi; Camila Fontes-Garfias; John L Perez; Kena A Swanson; Jakob Loschko; Ingrid L Scully; Mark Cutler; Warren Kalina; Christos A Kyratsous; David Cooper; Philip R Dormitzer; Kathrin U Jansen; Özlem Türeci
Journal:  Nature       Date:  2020-09-30       Impact factor: 49.962

Review 9.  Recommendations for vaccination in multiple myeloma: a consensus of the European Myeloma Network.

Authors:  Heinz Ludwig; Mario Boccadoro; Philippe Moreau; Jesus San-Miguel; Michele Cavo; Charlotte Pawlyn; Sonja Zweegman; Thierry Facon; Christoph Driessen; Roman Hajek; Melitios A Dimopoulos; Francesca Gay; Hervé Avet-Loiseau; Evangelos Terpos; Niklas Zojer; Mohamad Mohty; Maria-Victoria Mateos; Hermann Einsele; Michel Delforge; Jo Caers; Katja Weisel; Graham Jackson; Laurent Garderet; Monika Engelhardt; Niels van de Donk; Xavier Leleu; Hartmut Goldschmidt; Meral Beksac; Inger Nijhof; Niels Abildgaard; Sara Bringhen; Pieter Sonneveld
Journal:  Leukemia       Date:  2020-08-19       Impact factor: 11.528

Review 10.  COVID-19 vaccine guidance for patients with cancer participating in oncology clinical trials.

Authors:  Aakash Desai; Justin F Gainor; Aparna Hegde; Alison M Schram; Giuseppe Curigliano; Sumanta Pal; Stephen V Liu; Balazs Halmos; Roman Groisberg; Enrique Grande; Tomislav Dragovich; Marc Matrana; Neeraj Agarwal; Sant Chawla; Shumei Kato; Gilberto Morgan; Pashtoon M Kasi; Benjamin Solomon; Herbert H Loong; Haeseong Park; Toni K Choueiri; Ishwaria M Subbiah; Naveen Pemmaraju; Vivek Subbiah
Journal:  Nat Rev Clin Oncol       Date:  2021-03-15       Impact factor: 66.675

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  12 in total

1.  Immune Responses to SARS-CoV-2 Vaccination in Young Patients with Anti-CD19 Chimeric Antigen Receptor T Cell-Induced B Cell Aplasia.

Authors:  Andrea Jarisch; Eliza Wiercinska; Sabine Huenecke; Melanie Bremm; Claudia Cappel; Julian Hauler; Eva Rettinger; Jan Soerensen; Helen Hellstern; Jan-Henning Klusmann; Sandra Ciesek; Halvard Bonig; Peter Bader
Journal:  Transplant Cell Ther       Date:  2022-04-26

2.  Enhanced but variant-dependent serological and cellular immune responses to third-dose BNT162b2 vaccination in patients with multiple myeloma.

Authors:  Julius C Enssle; Julia Campe; Sarah Büchel; Alina Moter; Frederic See; Katharina Grießbaum; Michael A Rieger; Sebastian Wolf; Olivier Ballo; Björn Steffen; Hubert Serve; Holger F Rabenau; Marek Widera; Melanie Bremm; Sabine Huenecke; Sandra Ciesek; Ivana von Metzler; Evelyn Ullrich
Journal:  Cancer Cell       Date:  2022-05-08       Impact factor: 38.585

3.  COVID-specific T's may offset therapeutically endangered B's.

Authors:  LaQuisa C Hill; Premal D Lulla
Journal:  Blood       Date:  2022-01-06       Impact factor: 25.476

Review 4.  Cellular Immune Response after Vaccination in Patients with Cancer-Review on Past and Present Experiences.

Authors:  Maria Madeleine Rüthrich; Nicola Giesen; Sibylle C Mellinghoff; Christina T Rieger; Marie von Lilienfeld-Toal
Journal:  Vaccines (Basel)       Date:  2022-01-25

5.  Safety and Immunogenicity After a Three-Dose SARS-CoV-2 Vaccine Schedule in Allogeneic Stem Cell Transplant Recipients.

Authors:  Muneyoshi Kimura; Victor H Ferreira; Sagar Kothari; Ivan Pasic; Jonas I Mattsson; Vathany Kulasingam; Atul Humar; Allison Mah; Jean-Sébastien Delisle; Matthew Ierullo; Beata Majchrzak-Kita; Deepali Kumar; Seyed M Hosseini-Moghaddam
Journal:  Transplant Cell Ther       Date:  2022-07-29

6.  Post-exposure prophylaxis with sotrovimab for Omicron (B.1.1.529) SARS-CoV-2 variant during the aplastic phase of autologous stem cell transplantation.

Authors:  Gianpaolo Marcacci; Nicola Coppola; Emanuela Madonna; Cristina Becchimanzi; Stefania De Pascalis; Silvia D'Ovidio; Stefania Crisci; Piera Maiolino; Rosaria De Filippi; Antonio Pinto
Journal:  Infect Agent Cancer       Date:  2022-08-03       Impact factor: 3.698

Review 7.  Immunogenicity of SARS-CoV-2 vaccines in patients with cancer.

Authors:  Helen Kakkassery; Esme Carpenter; Piers E M Patten; Sheeba Irshad
Journal:  Trends Mol Med       Date:  2022-08-03       Impact factor: 15.272

8.  Humoral and cellular immune response in patients with hematological disorders after two doses of BNT162b2 mRNA COVID-19 vaccine: A single-center prospective observational study (NCT05074706).

Authors:  Elisa Bossi; Andrea Aroldi; Lorenza Maria Borin; Luisa Verga; Diletta Fontana; Federica Cocito; Beatrice Manghisi; Giovanni Rindone; Fabrizio Cavalca; Alessia Ripamonti; Monica Raggi; Sergio Maria Ivano Malandrin; Annalisa Cavallero; Laura Antolini; Diego Bonardi; Rocco Giovanni Piazza; Carlo Gambacorti-Passerini
Journal:  EJHaem       Date:  2022-08-30

9.  Isolation of Functional SARS-CoV-2 Antigen-Specific T-Cells with Specific Viral Cytotoxic Activity for Adoptive Therapy of COVID-19.

Authors:  Estéfani García-Ríos; Alejandra Leivas; Francisco J Mancebo; Laura Sánchez-Vega; Diego Lanzarot; José María Aguado; Joaquín Martínez-López; María Liz Paciello; Pilar Pérez-Romero
Journal:  Biomedicines       Date:  2022-03-09

10.  Is COVID vaccine effective in patients with myeloid malignancy?

Authors:  Moshe Mittelman
Journal:  Br J Haematol       Date:  2022-04-05       Impact factor: 8.615

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