Evidence map›Paper›PMID 40489562›Full record

ArticlePLoS computational biology2025

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

Sonia T Gazeau, Xiaoyan Deng, Elsa Brunet-Ratnasingham, Daniel E Kaufmann, Catherine Larochelle, Penelope A Morel, Jane M Heffernan, Courtney L Davis, Amber M Smith, Adrianne L Jenner and 1 more

Abstract read
In one paragraph

Article in PLoS computational biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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2 · The registry

The trial behind it

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3 · Its place in the literature

Who cites it

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

11 authors.

Sonia T GazeauSainte-Justine University Hospital Research Centre, Montréal, Québec, Canada.ORCID 0009-0000-6972-243X
Xiaoyan DengSainte-Justine University Hospital Research Centre, Montréal, Québec, Canada.
Elsa Brunet-RatnasinghamUniversity of California, San Francisco, California, United States of America.
Daniel E KaufmannResearch Centre of the Centre Hospitalier de l'Université de Montréal (CRCHUM), Montréal, Québec, Canada.
Catherine LarochelleResearch Centre of the Centre Hospitalier de l'Université de Montréal (CRCHUM), Montréal, Québec, Canada.
Penelope A MorelDepartment of Immunology, University of Pittsburgh, Pittsburgh, Pennsylvania, United States of America.ORCID 0000-0002-1743-3676
Jane M HeffernanCentre for Disease Modelling, Department of Mathematics & Statistics, York University, Toronto, Ontario, Canada.
Courtney L DavisNatural Science Division, Pepperdine University, Malibu, California, United States of America.
Amber M SmithDepartment of Pediatrics, University of Tennessee Health Science Center, Memphis, Tennessee, United States of America.
Adrianne L JennerSchool of Mathematical Sciences, Queensland University of Technology, Brisbane, Queensland, Australia.
Morgan CraigSainte-Justine University Hospital Research Centre, Montréal, Québec, Canada.

Funding

Virtual Patient Cohorts to Illuminate Immunologic Drivers of Influenza SeverityR01AI170115 · NIAID · UNIVERSITY OF TENNESSEE HEALTH SCI CTR · PI SMITH, AMBER M · 2022 to 2025
$2.8M
NIAID NIH HHS R01 AI170115
6 · The paper itself

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.

Indexed as

COVID-19Immunocompromised HostNeoplasmsAdultCD8-Positive T-LymphocytesCohort StudiesComputational BiologyHumansMaleMiddle AgedModels, ImmunologicalSARS-CoV-2Viral Load

Identifiers

PMID40489562
PMCPMC12180667

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.