1. Multi-omic approach identifies a transcriptional network coupling innate immune response to proliferation in the blood of COVID-19 cancer patients
- Author
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Salvatore Sciacchitano, Arianna Di Napoli, Benjamin Terrier, Carlo Capalbo, Frauke Goeman, Francesca De Nicola, Michela D'Ascanio, Alberto Ricci, Christian Napoli, Simona di Martino, Giulia Piaggio, Agostino Tafuri, Andrea Sacconi, Maurizio Fanciulli, Luisa de Latouliere, Darragh Duffy, Luciano De Biase, Andrea Negro, Valentina Salvati, Claudia De Vitis, Carla Mottini, Rita Mancini, Francesca Paolini, Giovanni Blandino, Paolo Anibaldi, Paolo Marchetti, Gennaro Ciliberto, IFO - Istituto Nazionale Tumori Regina Elena [Roma] (IRE), Università degli Studi di Roma 'La Sapienza' = Sapienza University [Rome], Azienda Ospedaliera Sant'Andrea [Roma], Immunologie Translationnelle - Translational Immunology lab, Institut Pasteur [Paris], Université de Paris (UP), University Niccolò Cusano (UNICUSANO), This work was supported in part by funds Ricerca Corrente from the Ministry of Health, Italy, and by Grant COMETA To GC and RM from Istituto Buddista Italiano Soka Gakkai., We would like to thank the medical directorates of the participating hospitals who made this work possible. We thank the patients who have donated their blood for this study., Università degli Studi di Roma 'La Sapienza' = Sapienza University [Rome] (UNIROMA), Institut Pasteur [Paris] (IP)-Université Paris Cité (UPCité), Université Paris Cité (UPCité), and University Niccolò Cusano = Università Niccoló Cusano (UNICUSANO)
- Subjects
Male ,Cancer Research ,medicine.medical_treatment ,Antibodies, Viral ,0302 clinical medicine ,Neoplasms ,MESH: COVID-19 ,MESH: Neoplasms ,Cancer ,0303 health sciences ,education.field_of_study ,MESH: Cytokines ,MESH: Case-Control Studies ,3. Good health ,MESH: Leukocytes, Mononuclear ,Cytokine ,030220 oncology & carcinogenesis ,Cytokines ,Infectious diseases ,[SDV.IMM]Life Sciences [q-bio]/Immunology ,Female ,medicine.symptom ,Immunology ,Population ,Inflammation ,Peripheral blood mononuclear cell ,Article ,03 medical and health sciences ,Cellular and Molecular Neuroscience ,Immune system ,medicine ,Humans ,education ,030304 developmental biology ,Innate immune system ,MESH: Humans ,QH573-671 ,business.industry ,COVID-19 ,Cell Biology ,medicine.disease ,MESH: Male ,Case-Control Studies ,Leukocytes, Mononuclear ,business ,Cytology ,MESH: Female ,CD8 ,MESH: Antibodies, Viral ,covid-19 and h-ras and ras - Abstract
Clinical outcomes of COVID-19 patients are worsened by the presence of co-morbidities, especially cancer leading to elevated mortality rates. SARS-CoV-2 infection is known to alter immune system homeostasis. Whether cancer patients developing COVID-19 present alterations of immune functions which might contribute to worse outcomes have so far been poorly investigated. We conducted a multi-omic analysis of immunological parameters in peripheral blood mononuclear cells (PBMCs) of COVID-19 patients with and without cancer. Healthy donors and SARS-CoV-2-negative cancer patients were also included as controls. At the infection peak, cytokine multiplex analysis of blood samples, cytometry by time of flight (CyTOF) cell population analyses, and Nanostring gene expression using Pancancer array on PBMCs were performed. We found that eight pro-inflammatory factors (IL-6, IL-8, IL-13, IL-1ra, MIP-1a, IP-10) out of 27 analyzed serum cytokines were modulated in COVID-19 patients irrespective of cancer status. Diverse subpopulations of T lymphocytes such as CD8+T, CD4+T central memory, Mucosal-associated invariant T (MAIT), natural killer (NK), and γδ T cells were reduced, while B plasmablasts were expanded in COVID-19 cancer patients. Our findings illustrate a repertoire of aberrant alterations of gene expression in circulating immune cells of COVID-19 cancer patients. A 19-gene expression signature of PBMCs is able to discriminate COVID-19 patients with and without solid cancers. Gene set enrichment analysis highlights an increased gene expression linked to Interferon α, γ, α/β response and signaling which paired with aberrant cell cycle regulation in cancer patients. Ten out of the 19 genes, validated in a real-world consecutive cohort, were specific of COVID-19 cancer patients independently from different cancer types and stages of the diseases, and useful to stratify patients in a COVID-19 disease severity-manner. We also unveil a transcriptional network involving gene regulators of both inflammation response and proliferation in PBMCs of COVID-19 cancer patients.
- Published
- 2021