Exploration of the link between COVID-19 and gastric cancer from the perspective of bioinformatics and systems biology
Xiao MaiD, Tengda HuangiD, Xiaoquan LiiD, Xinyi ZhouiD, Hongyuan Pan, Ao DuiD, Yong Zeng, Kefei YuaniD, Zhen WangiD
Abstract
BackgroundCoronavirus disease 2019 (COVID-19), an infectious disease caused by severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2), has caused a global pandemic. Gastric cancer (GC) poses a great threat to peoples health, which is a high- risk factor for COVID-19. Previous studies have found some associations between GC and COVID-19, whereas the underlying molecular mechanisms are not well understood. MethodsWe used a bioinformatics and systems biology approach to investigate the relationship between GC and COVID-19. The gene expression profiles of COVID-19 (GSE196822) and GC (GSE179252) were downloaded from the Gene Expression Omnibus (GEO) database. After identifying the shared differentially expressed genes (DEGs) for GC and COVID-19, functional annotation, protein-protein interaction (PPI) network, hub genes, transcriptional regulatory networks and candidate drugs were analyzed. ResultsA total of 209 shared DEGs were identified to explore the linkages between COVID-19 and GC. Functional analyses showed that Immune-related pathway collectively participated in the development and progression of COVID-19 and GC. In addition, there are selected 10 hub genes including CDK1, KIF20A, TPX2, UBE2C, HJURP, CENPA, PLK1, MKI67, IFI6, and IFIT2. The transcription factor/gene and miRNA/gene interaction networks identified 38 transcription factors (TFs) and 234 miRNAs. More importantly, we identified ten potential therapeutic agents, including ciclopirox, resveratrol, etoposide, methotrexate, trifluridine, enterolactone, troglitazone, calcitriol, dasatinib and deferoxamine, some of which have been reported to improve and treat GC and COVID-19. This study also provides insight into the diseases most associated with mutual DEGs, which may provide new ideas for research on the treatment of COVID-19. ConclusionsThis research has the possibility to be contributed to effective therapeutic in COVID-19 and GC.
02 /Specification & Classification
Click any tag to browse matching papers- Citations
- 4
- FWCI
- 0.55
- Field percentile
- top 41%
- Organism
- Assay
- Research Focus
- Approach
Reproducibility ledger
Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.
Sign in to file a reproducibility report.
Related papers
- Bioinformatics Approaches to Determine the Effect of SARS-CoV-2 Infection on Patients with Intrahepatic Cholangiocarcinoma
Xinyi Zhou, Tengda Huang, … Kefei Yuan·bioRxiv·Jan 4, 2023
- Screening key genes and signaling pathways in COVID-19 infection and its associated complications by integrated bioinformatics analysis
Basavaraj Mallikarjunayya Vastrad, Chanabasayya Mallikarjunayya Vastrad·bioRxiv·Sep 24, 2021
- Identification of common key genes and pathways between Covid-19 and lung cancer by using protein-protein interaction network analysis
Kang Soon Nan, Kalimuthu Karuppanan, Suresh Kumar·bioRxiv·Feb 16, 2021
- Investigation of the underlying hub genes and molecular pathogenesis in gastric cancer by integrated bioinformatic analyses
Basavaraj Mallikarjunayya Vastrad, Chanabasayya Mallikarjunayya Vastrad·bioRxiv·Dec 20, 2020
- Identification of key genes in SARS-CoV-2 patients on bioinformatics analysis
Hanming Gu, Gongsheng Yuan·bioRxiv·Aug 9, 2020
- Exploration of the Link Between COVID-19 and Alcoholic Hepatitis from the Perspective of Bioinformatics and Systems Biology
Tengda Huang, Bingxuan Yu, … Zhen Wang·MedComm – Future MedicinePeer-reviewed·Jun 1, 2023