Department of Stem Cells and Developmental Biology at Cell Science Research Centre, Royan Institute, Tehran, Iran.
Faculty of Sciences and Advanced Technologies in Biology, University of Science and Culture, Tehran, Iran.
Sci Rep. 2021 Jun 21;11(1):12948. doi: 10.1038/s41598-021-92068-4.
COVID 19 disease has become a global catastrophe over the past year that has claimed the lives of over two million people around the world. Despite the introduction of vaccines against the disease, there is still a long way to completely eradicate it. There are concerns about the complications following infection with SARS-CoV-2. This research aimed to evaluate the possible correlation between infection with SARS-CoV viruses and cancer in an in-silico study model. To do this, the relevent dataset was selected from GEO database. Identification of differentially expressed genes among defined groups including SARS-CoV, SARS-dORF6, SARS-BatSRBD, and H1N1 were screened where the |Log FC| ≥ 1and p < 0.05 were considered statistically significant. Later, the pathway enrichment analysis and gene ontology (GO) were used by Enrichr and Shiny GO databases. Evaluation with STRING online was applied to predict the functional interactions of proteins, followed by Cytoscape analysis to identify the master genes. Finally, analysis with GEPIA2 server was carried out to reveal the possible correlation between candidate genes and cancer development. The results showed that the main molecular function of up- and down-regulated genes was "double-stranded RNA binding" and actin-binding, respectively. STRING and Cytoscape analysis presented four genes, PTEN, CREB1, CASP3, and SMAD3 as the key genes involved in cancer development. According to TCGA database results, these four genes were up-regulated notably in pancreatic adenocarcinoma. Our findings suggest that pancreatic adenocarcinoma is the most probably malignancy happening after infection with SARS-CoV family.
在过去的一年中，COVID-19 疾病已成为一场全球性灾难，在全球范围内已导致超过 200 万人丧生。尽管已经推出了针对该疾病的疫苗，但要完全消灭它仍有很长的路要走。人们对感染 SARS-CoV-2 后可能出现的并发症感到担忧。这项研究旨在通过计算机模型评估 SARS-CoV 病毒感染与癌症之间可能存在的相关性。为此，从 GEO 数据库中选择了相关数据集。筛选定义的 SARS-CoV、SARS-dORF6、SARS-BatSRBD 和 H1N1 组之间差异表达基因，|Log FC|≥1 和 p<0.05 被认为具有统计学意义。然后，使用 Enrichr 和 Shiny GO 数据库对通路富集分析和基因本体 (GO) 进行分析。通过 STRING 在线评估来预测蛋白质的功能相互作用，然后通过 Cytoscape 分析来识别主基因。最后，使用 GEPIA2 服务器进行分析，以揭示候选基因与癌症发展之间的可能相关性。结果表明，上调和下调基因的主要分子功能分别为“双链 RNA 结合”和肌动蛋白结合。STRING 和 Cytoscape 分析提出了四个基因，PTEN、CREB1、CASP3 和 SMAD3，作为涉及癌症发展的关键基因。根据 TCGA 数据库的结果，这四个基因在胰腺腺癌中显著上调。我们的研究结果表明，胰腺腺癌是感染 SARS-CoV 家族后最有可能发生的恶性肿瘤。
