Prognostic model for gastric cancer patients with COVID-19 and network pharmacology study on treatment by lentinan

胃癌合并 COVID-19 患者的预后模型及香菇多糖治疗的网络药理学研究

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Abstract

Patients with gastric cancer (GC) are more susceptible to coronavirus disease 2019 (COVID-19), which further worsens their already challenging prognosis. However, there are no effective treatment options for these patients. Lentinan is a potent bioactive component with antiviral and antitumor effects. We hypothesized that lentinan might exert powerful pharmacological effects in patients with GC and COVID-19. In this study, a prognostic model of patients with GC/COVID-19 was constructed and used to apply a network pharmacology approach to reveal biological functions, drug targets, and molecular mechanisms of the action of lentinan against GC/COVID-19. Clinical analysis revealed key prognostic genes in patients with GC/COVID-19. The results of network pharmacology analysis suggested that the therapeutic effect of lentinan on GC/COVID-19 mainly involves the modulation of several neutrophil-related biological processes, as well as the nucleotide-binding and oligomerization domain-like receptor and interleukin-17 signaling pathways. In addition, C-X-C motif chemokine ligand 8, vascular endothelial growth factor A, ribonuclease 3, and F2 were identified as key genes of lentinan against GC/COVID-19. Key prognostic genes were identified in patients with GC/COVID-19 through the construction of a prognostic model. Pharmacological functions and signaling pathways of lentinan against GC/COVID-19 were revealed. These included the regulation of neutrophils and NOD-like receptor signaling pathways. The findings provide the first published evidence of the potential value of lentinan as a complementary therapy for GC/COVID-19.

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