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Changes in Peripheral Immune Cells after the Third Dose of SARS-CoV-2 mRNA-BNT162b2 Vaccine and Disease Outcomes in Cancer Patients Receiving Immune Checkpoint Inhibitors: A Prospective Analysis of the Vax-on-Third-Profile Study
Anti-SARS-CoV-2 mRNA vaccines can deeply affect cell-mediated immune responses in immunocompromised recipients, including cancer patients receiving active treatments. The clinical implications of changes in peripheral blood lymphocyte subsets following the third dose of mRNA-BNT162b2 vaccination (to...
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Published in: | Cancers 2023-07, Vol.15 (14), p.3625 |
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creator | Nelli, Fabrizio Signorelli, Carlo Fabbri, Agnese Giannarelli, Diana Virtuoso, Antonella Giron Berrios, Julio Rodrigo Marrucci, Eleonora Fiore, Cristina Schirripa, Marta Chilelli, Mario Giovanni Primi, Francesca Panichi, Valentina Topini, Giuseppe Silvestri, Maria Assunta Ruggeri, Enzo Maria |
description | Anti-SARS-CoV-2 mRNA vaccines can deeply affect cell-mediated immune responses in immunocompromised recipients, including cancer patients receiving active treatments. The clinical implications of changes in peripheral blood lymphocyte subsets following the third dose of mRNA-BNT162b2 vaccination (tozinameran) in patients on immune checkpoint blockade are not fully understood. We conducted a prospective analysis of the Vax-On-Third-Profile study to evaluate the impact of circulating lymphocyte dynamics on disease outcomes in this subgroup of patients.
Recipients of booster dosing who had received before vaccination at least one course of an anti-PD-1/PD-L1 treatment for an advanced solid tumor were eligible. Immunophenotyping of peripheral blood was performed before the third dose of tozinameran (timepoint-1) and four weeks later (timepoint-2) to quantify the absolute counts of lymphocyte subpopulations, including CD3
CD4
T cells, CD3
CD8
T cells, B cells, and NK cells. Logistic regression was used to analyze the relationship between lymphocyte subsets and durable clinical benefit (DCB). The log-rank test and Cox regression model were applied to evaluate the relationship between lymphocyte subpopulations and both vaccine-related time-to-treatment failure (V-TTF) and overall survival (OS).
We included a total of 56 patients with metastatic disease who were given a third dose of tozinameran between 23 September and 7 October 2021 (median age: 66 years; male: 71%). Most recipients had a diagnosis of lung cancer and were being treated with pembrolizumab or nivolumab. Compared to baseline, the third immunization resulted in an incremental change in the median counts of all lymphocyte subpopulations, which was statistically significant only for NK cells (
< 0.001). A significant correlation was found between NK cell counts and DCB at timepoint-2 (
< 0.001). Multivariate logistic regression analysis of DCB confirmed the predictive significance of high-level NK cell counts (
= 0.020). In multivariate Cox regression analysis, high-level NK cell counts independently predicted longer V-TTF [HR 0.34 (95% CI 0.14-0.80),
= 0.014] and OS [HR 0.36 (95% CI 0.15-0.89),
= 0.027].
Our data suggest expansion of NK cell counts as the most noteworthy change in circulating lymphocytes after the third dose of tozinameran in cancer patients receiving PD-1/PD-L1-targeted agents. This change correlated with enhanced therapeutic efficacy, improving the rate of disease control, and prol |
doi_str_mv | 10.3390/cancers15143625 |
format | article |
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Recipients of booster dosing who had received before vaccination at least one course of an anti-PD-1/PD-L1 treatment for an advanced solid tumor were eligible. Immunophenotyping of peripheral blood was performed before the third dose of tozinameran (timepoint-1) and four weeks later (timepoint-2) to quantify the absolute counts of lymphocyte subpopulations, including CD3
CD4
T cells, CD3
CD8
T cells, B cells, and NK cells. Logistic regression was used to analyze the relationship between lymphocyte subsets and durable clinical benefit (DCB). The log-rank test and Cox regression model were applied to evaluate the relationship between lymphocyte subpopulations and both vaccine-related time-to-treatment failure (V-TTF) and overall survival (OS).
We included a total of 56 patients with metastatic disease who were given a third dose of tozinameran between 23 September and 7 October 2021 (median age: 66 years; male: 71%). Most recipients had a diagnosis of lung cancer and were being treated with pembrolizumab or nivolumab. Compared to baseline, the third immunization resulted in an incremental change in the median counts of all lymphocyte subpopulations, which was statistically significant only for NK cells (
< 0.001). A significant correlation was found between NK cell counts and DCB at timepoint-2 (
< 0.001). Multivariate logistic regression analysis of DCB confirmed the predictive significance of high-level NK cell counts (
= 0.020). In multivariate Cox regression analysis, high-level NK cell counts independently predicted longer V-TTF [HR 0.34 (95% CI 0.14-0.80),
= 0.014] and OS [HR 0.36 (95% CI 0.15-0.89),
= 0.027].
Our data suggest expansion of NK cell counts as the most noteworthy change in circulating lymphocytes after the third dose of tozinameran in cancer patients receiving PD-1/PD-L1-targeted agents. This change correlated with enhanced therapeutic efficacy, improving the rate of disease control, and prolonging survival outcomes. Similar findings have not been previously reported, implying that they have proof-of-concept value and warrant further confirmation.</description><identifier>ISSN: 2072-6694</identifier><identifier>EISSN: 2072-6694</identifier><identifier>DOI: 10.3390/cancers15143625</identifier><identifier>PMID: 37509286</identifier><language>eng</language><publisher>Switzerland: MDPI AG</publisher><subject>Analysis ; Antibodies ; Antibody response ; Automation ; Cancer ; Care and treatment ; CD3 antigen ; CD4 antigen ; CD8 antigen ; COVID-19 ; COVID-19 vaccines ; Disease control ; Dosage ; Drug therapy ; Flow cytometry ; Immune response ; Immune response (cell-mediated) ; International standards ; Lung cancer ; Lymphocytes ; Lymphocytes B ; Lymphocytes T ; Messenger RNA ; Metastases ; Metastasis ; Monoclonal antibodies ; mRNA ; Natural killer cells ; Patient outcomes ; Patients ; PD-1 protein ; PD-L1 protein ; Pembrolizumab ; Peripheral blood ; Rankings ; Regression analysis ; Serology ; Severe acute respiratory syndrome coronavirus 2 ; Solid tumors ; Statistical analysis ; Vaccination ; Vaccines</subject><ispartof>Cancers, 2023-07, Vol.15 (14), p.3625</ispartof><rights>COPYRIGHT 2023 MDPI AG</rights><rights>2023 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>2023 by the authors. 2023</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c489t-75a914939e5401fc38b28b292e6844b7c267446d78cf5783ba0c48417d78a6383</citedby><cites>FETCH-LOGICAL-c489t-75a914939e5401fc38b28b292e6844b7c267446d78cf5783ba0c48417d78a6383</cites><orcidid>0000-0002-0960-9563 ; 0000-0001-8374-1362 ; 0000-0003-2042-4006</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.proquest.com/docview/2843042125?pq-origsite=primo$$EPDF$$P50$$Gproquest$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.proquest.com/docview/2843042125?pq-origsite=primo$$EHTML$$P50$$Gproquest$$Hfree_for_read</linktohtml><link.rule.ids>230,314,727,780,784,885,25753,27924,27925,37012,37013,38516,43895,44590,53791,53793,74412,75126</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/37509286$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Nelli, Fabrizio</creatorcontrib><creatorcontrib>Signorelli, Carlo</creatorcontrib><creatorcontrib>Fabbri, Agnese</creatorcontrib><creatorcontrib>Giannarelli, Diana</creatorcontrib><creatorcontrib>Virtuoso, Antonella</creatorcontrib><creatorcontrib>Giron Berrios, Julio Rodrigo</creatorcontrib><creatorcontrib>Marrucci, Eleonora</creatorcontrib><creatorcontrib>Fiore, Cristina</creatorcontrib><creatorcontrib>Schirripa, Marta</creatorcontrib><creatorcontrib>Chilelli, Mario Giovanni</creatorcontrib><creatorcontrib>Primi, Francesca</creatorcontrib><creatorcontrib>Panichi, Valentina</creatorcontrib><creatorcontrib>Topini, Giuseppe</creatorcontrib><creatorcontrib>Silvestri, Maria Assunta</creatorcontrib><creatorcontrib>Ruggeri, Enzo Maria</creatorcontrib><title>Changes in Peripheral Immune Cells after the Third Dose of SARS-CoV-2 mRNA-BNT162b2 Vaccine and Disease Outcomes in Cancer Patients Receiving Immune Checkpoint Inhibitors: A Prospective Analysis of the Vax-on-Third-Profile Study</title><title>Cancers</title><addtitle>Cancers (Basel)</addtitle><description>Anti-SARS-CoV-2 mRNA vaccines can deeply affect cell-mediated immune responses in immunocompromised recipients, including cancer patients receiving active treatments. The clinical implications of changes in peripheral blood lymphocyte subsets following the third dose of mRNA-BNT162b2 vaccination (tozinameran) in patients on immune checkpoint blockade are not fully understood. We conducted a prospective analysis of the Vax-On-Third-Profile study to evaluate the impact of circulating lymphocyte dynamics on disease outcomes in this subgroup of patients.
Recipients of booster dosing who had received before vaccination at least one course of an anti-PD-1/PD-L1 treatment for an advanced solid tumor were eligible. Immunophenotyping of peripheral blood was performed before the third dose of tozinameran (timepoint-1) and four weeks later (timepoint-2) to quantify the absolute counts of lymphocyte subpopulations, including CD3
CD4
T cells, CD3
CD8
T cells, B cells, and NK cells. Logistic regression was used to analyze the relationship between lymphocyte subsets and durable clinical benefit (DCB). The log-rank test and Cox regression model were applied to evaluate the relationship between lymphocyte subpopulations and both vaccine-related time-to-treatment failure (V-TTF) and overall survival (OS).
We included a total of 56 patients with metastatic disease who were given a third dose of tozinameran between 23 September and 7 October 2021 (median age: 66 years; male: 71%). Most recipients had a diagnosis of lung cancer and were being treated with pembrolizumab or nivolumab. Compared to baseline, the third immunization resulted in an incremental change in the median counts of all lymphocyte subpopulations, which was statistically significant only for NK cells (
< 0.001). A significant correlation was found between NK cell counts and DCB at timepoint-2 (
< 0.001). Multivariate logistic regression analysis of DCB confirmed the predictive significance of high-level NK cell counts (
= 0.020). In multivariate Cox regression analysis, high-level NK cell counts independently predicted longer V-TTF [HR 0.34 (95% CI 0.14-0.80),
= 0.014] and OS [HR 0.36 (95% CI 0.15-0.89),
= 0.027].
Our data suggest expansion of NK cell counts as the most noteworthy change in circulating lymphocytes after the third dose of tozinameran in cancer patients receiving PD-1/PD-L1-targeted agents. This change correlated with enhanced therapeutic efficacy, improving the rate of disease control, and prolonging survival outcomes. Similar findings have not been previously reported, implying that they have proof-of-concept value and warrant further confirmation.</description><subject>Analysis</subject><subject>Antibodies</subject><subject>Antibody response</subject><subject>Automation</subject><subject>Cancer</subject><subject>Care and treatment</subject><subject>CD3 antigen</subject><subject>CD4 antigen</subject><subject>CD8 antigen</subject><subject>COVID-19</subject><subject>COVID-19 vaccines</subject><subject>Disease control</subject><subject>Dosage</subject><subject>Drug therapy</subject><subject>Flow cytometry</subject><subject>Immune response</subject><subject>Immune response (cell-mediated)</subject><subject>International standards</subject><subject>Lung cancer</subject><subject>Lymphocytes</subject><subject>Lymphocytes B</subject><subject>Lymphocytes T</subject><subject>Messenger RNA</subject><subject>Metastases</subject><subject>Metastasis</subject><subject>Monoclonal antibodies</subject><subject>mRNA</subject><subject>Natural killer cells</subject><subject>Patient outcomes</subject><subject>Patients</subject><subject>PD-1 protein</subject><subject>PD-L1 protein</subject><subject>Pembrolizumab</subject><subject>Peripheral blood</subject><subject>Rankings</subject><subject>Regression analysis</subject><subject>Serology</subject><subject>Severe acute respiratory syndrome coronavirus 2</subject><subject>Solid tumors</subject><subject>Statistical analysis</subject><subject>Vaccination</subject><subject>Vaccines</subject><issn>2072-6694</issn><issn>2072-6694</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2023</creationdate><recordtype>article</recordtype><sourceid>COVID</sourceid><sourceid>PIMPY</sourceid><recordid>eNptkl1v0zAUhiMEYtPYNXfIEjfcZPNHYifcoBK-Kk1b1ZbeRo570ngkdrGTiv1ffghOO8o24VhylDzvOe85PlH0muALxnJ8qaRR4DxJScI4TZ9FpxQLGnOeJ88fvJ9E597f4rAYI4KLl9EJEynOacZPo99FI80GPNIGzcDpbQNOtmjadYMBVEDbeiTrHhzqG0DLRrs1-mQ9IFujxWS-iAu7iinq5teT-OP1knBaUbSSSukglybA2oMM_M3QK9sdEhV742gmew2m92gOCvROm80xbwPqx9Zq06OpaXSle-v8ezRBM2f9FlSvd4AmRrZ3XvvRymhuJX_F1sR7j3EAa90CWvTD-u5V9KKWrYfz-_Ms-v7l87L4Fl_dfJ0Wk6tYJVnexyKVOUlylkOaYFIrllU07JwCz5KkEopykSR8LTJVpyJjlcRBmBARvkjOMnYWfTjE3Q5VB2sVigvNLLdOd9LdlVbq8vEfo5tyY3clwUwIRvIQ4d19BGd_DuD7stNehVuQBuzgSxqM4Ixm6Zjs7RP01g4u9GRPMZxQQtN_1Ea2UGpT25BYjUHLiUiznAqOeaAu_kOFZw2dVtbA2MvHgsuDQIUL8Q7qY5EEl-Nwlk-GMyjePOzNkf87iuwP0E_gIg</recordid><startdate>20230714</startdate><enddate>20230714</enddate><creator>Nelli, 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Third Dose of SARS-CoV-2 mRNA-BNT162b2 Vaccine and Disease Outcomes in Cancer Patients Receiving Immune Checkpoint Inhibitors: A Prospective Analysis of the Vax-on-Third-Profile Study</title><author>Nelli, Fabrizio ; Signorelli, Carlo ; Fabbri, Agnese ; Giannarelli, Diana ; Virtuoso, Antonella ; Giron Berrios, Julio Rodrigo ; Marrucci, Eleonora ; Fiore, Cristina ; Schirripa, Marta ; Chilelli, Mario Giovanni ; Primi, Francesca ; Panichi, Valentina ; Topini, Giuseppe ; Silvestri, Maria Assunta ; Ruggeri, Enzo Maria</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c489t-75a914939e5401fc38b28b292e6844b7c267446d78cf5783ba0c48417d78a6383</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2023</creationdate><topic>Analysis</topic><topic>Antibodies</topic><topic>Antibody response</topic><topic>Automation</topic><topic>Cancer</topic><topic>Care and treatment</topic><topic>CD3 antigen</topic><topic>CD4 antigen</topic><topic>CD8 antigen</topic><topic>COVID-19</topic><topic>COVID-19 vaccines</topic><topic>Disease control</topic><topic>Dosage</topic><topic>Drug therapy</topic><topic>Flow cytometry</topic><topic>Immune response</topic><topic>Immune response (cell-mediated)</topic><topic>International standards</topic><topic>Lung cancer</topic><topic>Lymphocytes</topic><topic>Lymphocytes B</topic><topic>Lymphocytes T</topic><topic>Messenger RNA</topic><topic>Metastases</topic><topic>Metastasis</topic><topic>Monoclonal antibodies</topic><topic>mRNA</topic><topic>Natural killer cells</topic><topic>Patient outcomes</topic><topic>Patients</topic><topic>PD-1 protein</topic><topic>PD-L1 protein</topic><topic>Pembrolizumab</topic><topic>Peripheral blood</topic><topic>Rankings</topic><topic>Regression analysis</topic><topic>Serology</topic><topic>Severe acute respiratory syndrome coronavirus 2</topic><topic>Solid tumors</topic><topic>Statistical analysis</topic><topic>Vaccination</topic><topic>Vaccines</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Nelli, Fabrizio</creatorcontrib><creatorcontrib>Signorelli, Carlo</creatorcontrib><creatorcontrib>Fabbri, Agnese</creatorcontrib><creatorcontrib>Giannarelli, Diana</creatorcontrib><creatorcontrib>Virtuoso, Antonella</creatorcontrib><creatorcontrib>Giron Berrios, Julio Rodrigo</creatorcontrib><creatorcontrib>Marrucci, Eleonora</creatorcontrib><creatorcontrib>Fiore, Cristina</creatorcontrib><creatorcontrib>Schirripa, Marta</creatorcontrib><creatorcontrib>Chilelli, Mario Giovanni</creatorcontrib><creatorcontrib>Primi, Francesca</creatorcontrib><creatorcontrib>Panichi, Valentina</creatorcontrib><creatorcontrib>Topini, Giuseppe</creatorcontrib><creatorcontrib>Silvestri, Maria Assunta</creatorcontrib><creatorcontrib>Ruggeri, Enzo Maria</creatorcontrib><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central 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Carlo</au><au>Fabbri, Agnese</au><au>Giannarelli, Diana</au><au>Virtuoso, Antonella</au><au>Giron Berrios, Julio Rodrigo</au><au>Marrucci, Eleonora</au><au>Fiore, Cristina</au><au>Schirripa, Marta</au><au>Chilelli, Mario Giovanni</au><au>Primi, Francesca</au><au>Panichi, Valentina</au><au>Topini, Giuseppe</au><au>Silvestri, Maria Assunta</au><au>Ruggeri, Enzo Maria</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Changes in Peripheral Immune Cells after the Third Dose of SARS-CoV-2 mRNA-BNT162b2 Vaccine and Disease Outcomes in Cancer Patients Receiving Immune Checkpoint Inhibitors: A Prospective Analysis of the Vax-on-Third-Profile Study</atitle><jtitle>Cancers</jtitle><addtitle>Cancers (Basel)</addtitle><date>2023-07-14</date><risdate>2023</risdate><volume>15</volume><issue>14</issue><spage>3625</spage><pages>3625-</pages><issn>2072-6694</issn><eissn>2072-6694</eissn><abstract>Anti-SARS-CoV-2 mRNA vaccines can deeply affect cell-mediated immune responses in immunocompromised recipients, including cancer patients receiving active treatments. The clinical implications of changes in peripheral blood lymphocyte subsets following the third dose of mRNA-BNT162b2 vaccination (tozinameran) in patients on immune checkpoint blockade are not fully understood. We conducted a prospective analysis of the Vax-On-Third-Profile study to evaluate the impact of circulating lymphocyte dynamics on disease outcomes in this subgroup of patients.
Recipients of booster dosing who had received before vaccination at least one course of an anti-PD-1/PD-L1 treatment for an advanced solid tumor were eligible. Immunophenotyping of peripheral blood was performed before the third dose of tozinameran (timepoint-1) and four weeks later (timepoint-2) to quantify the absolute counts of lymphocyte subpopulations, including CD3
CD4
T cells, CD3
CD8
T cells, B cells, and NK cells. Logistic regression was used to analyze the relationship between lymphocyte subsets and durable clinical benefit (DCB). The log-rank test and Cox regression model were applied to evaluate the relationship between lymphocyte subpopulations and both vaccine-related time-to-treatment failure (V-TTF) and overall survival (OS).
We included a total of 56 patients with metastatic disease who were given a third dose of tozinameran between 23 September and 7 October 2021 (median age: 66 years; male: 71%). Most recipients had a diagnosis of lung cancer and were being treated with pembrolizumab or nivolumab. Compared to baseline, the third immunization resulted in an incremental change in the median counts of all lymphocyte subpopulations, which was statistically significant only for NK cells (
< 0.001). A significant correlation was found between NK cell counts and DCB at timepoint-2 (
< 0.001). Multivariate logistic regression analysis of DCB confirmed the predictive significance of high-level NK cell counts (
= 0.020). In multivariate Cox regression analysis, high-level NK cell counts independently predicted longer V-TTF [HR 0.34 (95% CI 0.14-0.80),
= 0.014] and OS [HR 0.36 (95% CI 0.15-0.89),
= 0.027].
Our data suggest expansion of NK cell counts as the most noteworthy change in circulating lymphocytes after the third dose of tozinameran in cancer patients receiving PD-1/PD-L1-targeted agents. This change correlated with enhanced therapeutic efficacy, improving the rate of disease control, and prolonging survival outcomes. Similar findings have not been previously reported, implying that they have proof-of-concept value and warrant further confirmation.</abstract><cop>Switzerland</cop><pub>MDPI AG</pub><pmid>37509286</pmid><doi>10.3390/cancers15143625</doi><orcidid>https://orcid.org/0000-0002-0960-9563</orcidid><orcidid>https://orcid.org/0000-0001-8374-1362</orcidid><orcidid>https://orcid.org/0000-0003-2042-4006</orcidid><oa>free_for_read</oa></addata></record> |
fulltext | fulltext |
identifier | ISSN: 2072-6694 |
ispartof | Cancers, 2023-07, Vol.15 (14), p.3625 |
issn | 2072-6694 2072-6694 |
language | eng |
recordid | cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_10377319 |
source | Open Access: PubMed Central; Publicly Available Content Database; Coronavirus Research Database |
subjects | Analysis Antibodies Antibody response Automation Cancer Care and treatment CD3 antigen CD4 antigen CD8 antigen COVID-19 COVID-19 vaccines Disease control Dosage Drug therapy Flow cytometry Immune response Immune response (cell-mediated) International standards Lung cancer Lymphocytes Lymphocytes B Lymphocytes T Messenger RNA Metastases Metastasis Monoclonal antibodies mRNA Natural killer cells Patient outcomes Patients PD-1 protein PD-L1 protein Pembrolizumab Peripheral blood Rankings Regression analysis Serology Severe acute respiratory syndrome coronavirus 2 Solid tumors Statistical analysis Vaccination Vaccines |
title | Changes in Peripheral Immune Cells after the Third Dose of SARS-CoV-2 mRNA-BNT162b2 Vaccine and Disease Outcomes in Cancer Patients Receiving Immune Checkpoint Inhibitors: A Prospective Analysis of the Vax-on-Third-Profile Study |
url | http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-26T01%3A14%3A25IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-gale_pubme&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Changes%20in%20Peripheral%20Immune%20Cells%20after%20the%20Third%20Dose%20of%20SARS-CoV-2%20mRNA-BNT162b2%20Vaccine%20and%20Disease%20Outcomes%20in%20Cancer%20Patients%20Receiving%20Immune%20Checkpoint%20Inhibitors:%20A%20Prospective%20Analysis%20of%20the%20Vax-on-Third-Profile%20Study&rft.jtitle=Cancers&rft.au=Nelli,%20Fabrizio&rft.date=2023-07-14&rft.volume=15&rft.issue=14&rft.spage=3625&rft.pages=3625-&rft.issn=2072-6694&rft.eissn=2072-6694&rft_id=info:doi/10.3390/cancers15143625&rft_dat=%3Cgale_pubme%3EA758927606%3C/gale_pubme%3E%3Cgrp_id%3Ecdi_FETCH-LOGICAL-c489t-75a914939e5401fc38b28b292e6844b7c267446d78cf5783ba0c48417d78a6383%3C/grp_id%3E%3Coa%3E%3C/oa%3E%3Curl%3E%3C/url%3E&rft_id=info:oai/&rft_pqid=2843042125&rft_id=info:pmid/37509286&rft_galeid=A758927606&rfr_iscdi=true |