Using virtual patient cohorts to uncover immune response differences in cancer and immunosuppressed COVID-19 patients

The COVID-19 pandemic caused by the severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) resulted in millions of deaths globally. Adults with immunosuppression (e.g., solid organ transplant recipients) and those undergoing active cancer treatments experience worse infections and more severe COVID-19. It is difficult to conduct clinical studies in these populations, resulting in a restricted amount of data that can be used to relate mechanisms of immune dysfunction to COVID-19 outcomes in these vulnerable groups. To study immune dynamics after infection with SARS-CoV-2 and to investigate drivers of COVID-19 severity in individuals with cancer and immunosuppression, we adapted our mathematical model of the immune response during COVID-19 and generated virtual patient cohorts of cancer and immunosuppressed patients. The cohorts of plausible patients recapitulated available longitudinal clinical data collected from patients in Montréal, Canada area hospitals. Our model predicted that both cancer and immunosuppressed virtual patients with severe COVID-19 had decreased CD8 + T cells, elevated interleukin-6 concentrations, and delayed type I interferon peaks compared to those with mild COVID-19 outcomes. Additionally, our results suggest that cancer patients experience higher viral loads (however, with no direct relation with severity), likely because of decreased initial neutrophil counts (i.e., neutropenia), a frequent toxic side effect of anti-cancer therapy. Furthermore, severe cancer and immunosuppressed virtual patients suffered a high degree of tissue damage associated with elevated neutrophils. Lastly, parameter values associated with monocyte recruitment by infected cells were found to be elevated in severe cancer and immunosuppressed patients with respect to the COVID-19 reference group. Together, our study highlights that dysfunctions in type I interferon and CD8 + T cells are key drivers of immune dysregulation in COVID-19, particularly in cancer patients and immunosuppressed individuals.

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Publication Details

Journal
PLoS Computational Biology
Published
2025-06-09
DOI
https://doi.org/10.1371/journal.pcbi.1013170
Primary Topic
COVID-19 and healthcare impacts
Type
article
Field-Weighted Citation Impact
0.00

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article

Using virtual patient cohorts to uncover immune response differences in cancer and immunosuppressed COVID-19 patients

Morgan Craig, Penelope A. Morel, Elsa Brunet‐Ratnasingham, Amber M. Smith et al.
PLoS Computational Biology
COVID-19 and healthcare impacts
article

Using virtual patient cohorts to uncover immune response differences in cancer and immunosuppressed COVID-19 patients

Morgan Craig, Penelope A. Morel, Elsa Brunet‐Ratnasingham, Amber M. Smith, Xiaoyan Deng, Jane M. Heffernan, Daniel E. Kaufmann, Adrianne L. Jenner, Courtney L. Davis, Sonia Gazeau, Catherine Larochelle
article en

Abstract

The COVID-19 pandemic caused by the severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) resulted in millions of deaths globally. Adults with immunosuppression (e.g., solid organ transplant recipients) and those undergoing active cancer treatments experience worse infections and more severe COVID-19. It is difficult to conduct clinical studies in these populations, resulting in a restricted amount of data that can be used to relate mechanisms of immune dysfunction to COVID-19 outcomes in these vulnerable groups. To study immune dynamics after infection with SARS-CoV-2 and to investigate drivers of COVID-19 severity in individuals with cancer and immunosuppression, we adapted our mathematical model of the immune response during COVID-19 and generated virtual patient cohorts of cancer and immunosuppressed patients. The cohorts of plausible patients recapitulated available longitudinal clinical data collected from patients in Montréal, Canada area hospitals. Our model predicted that both cancer and immunosuppressed virtual patients with severe COVID-19 had decreased CD8 + T cells, elevated interleukin-6 concentrations, and delayed type I interferon peaks compared to those with mild COVID-19 outcomes. Additionally, our results suggest that cancer patients experience higher viral loads (however, with no direct relation with severity), likely because of decreased initial neutrophil counts (i.e., neutropenia), a frequent toxic side effect of anti-cancer therapy. Furthermore, severe cancer and immunosuppressed virtual patients suffered a high degree of tissue damage associated with elevated neutrophils. Lastly, parameter values associated with monocyte recruitment by infected cells were found to be elevated in severe cancer and immunosuppressed patients with respect to the COVID-19 reference group. Together, our study highlights that dysfunctions in type I interferon and CD8 + T cells are key drivers of immune dysregulation in COVID-19, particularly in cancer patients and immunosuppressed individuals.

PLoS Computational BiologyVol. 21(6)
Pepperdine University (US), University of Tennessee Health Science Center (US), Queensland University of Technology (AU), University of Pittsburgh (US), University of California, San Francisco (US), York University (CA), Centre Hospitalier Universitaire Sainte-Justine (CA), Centre Hospitalier de l’Université de Montréal (CA), Université de Montréal (CA), University of Lausanne (CH)
Public Health Agency of Canada, Public Health Agency, Université de Montréal, National Institutes of Health, Canadian Institutes of Health Research, Natural Sciences and Engineering Research Council of Canada, Fonds de Recherche du Québec - Santé, Fonds de recherche du Québec – Nature et technologies
Good health and well-being
Openalex Percentile: Top 80%
COVID-19 and healthcare impacts
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