Publication: Long-Term transcriptomic reprogramming in peripheral blood mononuclear cells of severe COVID-19 survivors reveals pro-oncogenic signatures and cancer-associated hub genes
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KU Authors
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Duru Cetinkaya, Pelin
Eldem, Vahap
Argun Baris, Serap
Kokturk, Nurdan
Kuralay, Selim Can
Pinar Deniz, Pelin
Baydar Toprak, Oya
Yildiz Gulhan, Pinar
Sagcan, Gulseren
Kose Kabil, Neslihan
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Abstract
This study examined the long-term transcriptomic reprogramming in peripheral blood mononuclear cells (PBMCs) of severe COVID-19 patients and its effects for cancer development. RNA sequencing was conducted on PBMCs obtained from healthy controls, COVID-19 patients without pneumonia, and COVID-19 patients exhibiting severe pneumonia one year post-infection. Differential gene expression analysis identified a sustained pro-oncogenic molecular signature, especially among severe COVID-19 patients. Functional enrichment analysis revealed a substantial enrichment of cancer-associated pathways, encompassing apoptosis, viral carcinogenesis, and transcriptional dysregulation. Notably, the autophagy-related gene SQSTM1/P62 was recognized as a distinctive hub gene within the severe COVID-19 patients, interacting with pivotal genes associated with inflammation, apoptosis, and cancer advancement. Survival analysis demonstrated that elevated expression of COVID-19-associated hub genes correlated with unfavorable prognosis in various cancer types, including adrenocortical carcinoma, bladder urothelial carcinoma, and brain lower-grade glioma. These findings indicate that severe COVID-19 infection may establish a systemic milieu favorable to cancer development or recurrence, highlighting the necessity of prolonged oncological monitoring in these patients. Finding specific molecular targets and pathways can help us understand how COVID-19 might be linked to a higher risk of cancer.
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MDPI
Subject
Virology
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Viruses-Basel
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DOI
10.3390/v17121608
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CC BY-NC-ND (Attribution-NonCommercial-NoDerivs)
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Creative Commons license
Except where otherwised noted, this item's license is described as CC BY-NC-ND (Attribution-NonCommercial-NoDerivs)

