ABSTRACT
Lung cancer patients with COVID-19 present an increased risk of developing severe disease and, consequently, have poor outcomes. Determining SARS-CoV-2-host interactome in lung cancer cells and tissues, infected or uninfected with SARS-CoV-2, may reveal molecular mechanisms associated with COVID-19 development and severity in lung cancer patients. Here, we integrated transcriptome data of lung tumors from patients with small- or non-small cell lung cancer (SCLC and NSCLC) and normal lung and lung cancer cells infected with SARS-CoV-2. We aimed to characterize molecular mechanisms potentially associated with COVID-19 development and severity in lung cancer patients and to predict the SARS-CoV-2-host cell interactome. We found that the gene expression profiles of lung cell lines infected with SARS-CoV-2 resemble more primary lung tumors than non-malignant lung tissues. In addition, the transcriptomic-based interactome analysis of SCLC and NSCLC revealed increased expression of cancer genes BRCA1 and CENPF, whose proteins are known or predicted to interact with the SARS-CoV-2 spike glycoprotein and helicase, respectively. We also found that TRIB3, a gene coding a putative host-SARS-CoV-2 interacting protein associated with COVID-19 infection, is co-expressed with the up-regulated genes MTHFD2, ADM2, and GPT2 in all tested conditions. Our analysis identified biological processes such as amino acid metabolism and angiogenesis and 22 host mediators of SARS-CoV-2 infection and replication that may contribute to the development and severity of COVID-19 in lung cancers.
ABSTRACT
Background: In acute COVID-19 infection, growing evidence hints towards a broad activation of plasma cells and the presence of pathologic autoantibodies (abs). A systematic screening for abs confrmed induction of diverse functional abs by SARS-CoV-2 infection (1, 2). Immune-mediated thrombosis, involving platelet activation, has been identifed as one of the key pathogenic mechanisms in COVID-19 and is linked to morbidity and mortality (3). As natural abs against G protein-coupled receptors, functional abs against the thrombin receptor type-1 (PAR-1) might predispose for increased activation of the coagulation system present in COVID-19 infection. Objectives: The aim of this study is to identify the diagnostic value of anti-PAR1 antibodies and their capacity to predict the outcome of COVID-19 infection. Methods: 82 serum samples from 55 individuals with COVID-19 derived from three different hospitals in Schleswig-Holstein, Germany, and 88 single time point samples from healthy controls were subjected to ELISA-based quantifcation of anti-PAR-1 abs (CellTrend GmbH Luckenwalde, Germany). The levels of anti-AT1R abs were compared with clinical and laboratory parameters. Results: COVID-19 patients revealed markedly increased levels of circulating anti-PAR1 abs in hospitalized patients particularly in those required intensive care treatment in comparison to controls (p < 0.0001, Figure 1a). Anti-PAR1 ab levels were highest in patients with fatal outcome (p = 0.006, Figure 1a). Receiver operating characteristic (ROC) analysis of PAR1 abs levels in COVID-19 patients revealed a sensitivity of 84.00% and a specifcity 79.25% for patients requiring intensive care unit (ICU) treatment and a sensitivity of 87.50 % and a specifcity 84.51 % to distinguish fatal vs. non-fatal disease outcome (Figure 1b). We found correlation of circulating anti-PAR1 abs with D dimers. Conclusion: The increased anti-PAR1 abs, their prediction to identify patients requiring ICU and fatal outcome, and the correlation with markers for blood clotting suggest a role for antibodies against PAR1 in the disease development of blood clotting in COVID-19.