Cracking the code of a correlate of protection against SARS-CoV-2 breakthrough infection in cancer patients

The level of protection against SARS-CoV-2 breakthrough infections conferred by the presence of anti-S1 SARS-CoV-2 antibodies (IgGs) in cancer patients is still understudied. This work examines the existence of an anti-S1 immunoglobulin G (IgG) -based correlate of protection (CoP) established by prospectively collected observational data about breakthrough infections with different SARS-CoV-2 variants in a large cohort study with vaccinated cancer patients. 760 cancer patients were longitudinally followed-up, starting before first vaccination until six months after second booster. Anti-S1 SARS-CoV-2 IgGs were quantified in serum samples (N = 2958) and breakthrough infections were monitored using questionnaires, routine COVID-19 testing and medical chart review. A Generalized Estimating Equations approach was used to model the binary infection status as endpoint in relation to anti-S1 IgG titers. It is observed that higher anti-S1 IgG titers correspond to a lower probability of breakthrough infection. For the early pandemic phase, a protective anti-S1 IgG titer above 20.42 BAU/mL was observed. However, with the emergence of the Omicron variant, higher anti-S1 IgG titers are required to be protective, but no clear CoP could be identified.

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Publication Details

Journal
Scientific Reports
Published
2025-03-06
DOI
https://doi.org/10.1038/s41598-025-92254-8
Citations
1
Primary Topic
SARS-CoV-2 and COVID-19 Research
Type
article
Field-Weighted Citation Impact
1.40

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article

Cracking the code of a correlate of protection against SARS-CoV-2 breakthrough infection in cancer patients

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1 citations
Scientific Reports
SARS-CoV-2 and COVID-19 Research
1.40
article

Cracking the code of a correlate of protection against SARS-CoV-2 breakthrough infection in cancer patients

Ann De Becker, Peter A. van Dam, Christof Vulsteke, Sébastien Anguille, Marc Peeters, Willem Lybaert, M. Hanssens, Lieselot Croes, Niel Hens, Yana Debie, Greetje Vanhoutte, Irene Garcia-Fogeda, Hilde Jansens, Timon Vandamme, Hans Prenen, Maria E. Goossens, Lander Willem, Steven Abrams, Wim Demey, Lise Verbruggen, Ella Roelant, Annelies Janssens, Johan Van Ongeval, Alain Bols
article en
1 citations

Abstract

The level of protection against SARS-CoV-2 breakthrough infections conferred by the presence of anti-S1 SARS-CoV-2 antibodies (IgGs) in cancer patients is still understudied. This work examines the existence of an anti-S1 immunoglobulin G (IgG) -based correlate of protection (CoP) established by prospectively collected observational data about breakthrough infections with different SARS-CoV-2 variants in a large cohort study with vaccinated cancer patients. 760 cancer patients were longitudinally followed-up, starting before first vaccination until six months after second booster. Anti-S1 SARS-CoV-2 IgGs were quantified in serum samples (N = 2958) and breakthrough infections were monitored using questionnaires, routine COVID-19 testing and medical chart review. A Generalized Estimating Equations approach was used to model the binary infection status as endpoint in relation to anti-S1 IgG titers. It is observed that higher anti-S1 IgG titers correspond to a lower probability of breakthrough infection. For the early pandemic phase, a protective anti-S1 IgG titer above 20.42 BAU/mL was observed. However, with the emergence of the Omicron variant, higher anti-S1 IgG titers are required to be protective, but no clear CoP could be identified.

Scientific ReportsVol. 15(1)
University of Antwerp (BE), AZ Groeninge (BE), AZ Klina (BE), Antwerp University Hospital (BE), AZ Sint-Jan (BE), Universitair Ziekenhuis Brussel (BE), AZ Maria Middelares (BE), Sciensano (Belgium) (BE), AZ Sint-Lucas (BE), Hasselt University (BE)
Fonds Wetenschappelijk Onderzoek, Kom op tegen Kanker
Good health and well-being
Openalex Percentile: Top 23%
SARS-CoV-2 and COVID-19 Research
1.40
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