Article

Identification of common key genes and pathways between Covid-19 and lung cancer by using protein-protein interaction network analysis

2021-02-16

Abstract excerpt

COVID-19 is indeed an infection that is caused by a recently found coronavirus group, a type of virus proven to cause human respiratory diseases. The high mortality rate was observed in patients who had pre-existing health conditions like cancer. However, the molecular mechanism of SARS-CoV-2 infection in lung cancer patients was not discovered yet at the pathway level. This study was about determining the common...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: 5c03ef03-a8e3-591d-97fc-e7149f9a672c
DOI: 10.1101/2021.02.16.431364

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Identification of common key genes and pathways between Covid-19 and lung cancer by using protein-protein interaction network analysisDOI 10.1101/2021.02.16.431364Read

COVID-19 Candidate Genes and Pathways Potentially Share the Association with Lung Cancer.Semantic proximity Read

Omics data analysis reveals common molecular basis of small cell lung cancer and COVID-19Semantic proximity Read

Identification of COVID-19 and COPD common key genes and pathways using a protein-protein interaction approachSemantic proximity Read

Assessment of ACE2, CXCL10 and Their co-expressed Genes: An In-silico Approach to Evaluate the Susceptibility and Fatality of Lung Cancer Patients towards COVID-19 InfectionSemantic proximity Read

In-silico discovery of common molecular signatures for which SARS-CoV-2 infections and lung diseases stimulate each other, and drug repurposingSemantic proximity Read

Bioinformatics Approach to Identify Common Gene Signatures of Patients With Coronavirus 2019 and Lung AdenocarcinomaSemantic proximity Read

Identification of the susceptibility genes for COVID-19 in lung adenocarcinoma with global data and biological computation methodsSemantic proximity Read

Identifying potential novel insights for COVID-19 pathogenesis and therapeutics using an integrated bioinformatics analysis of host transcriptomeSemantic proximity Read

Diseasome and comorbidities complexities of SARS-CoV-2 infection with common malignant diseasesSemantic proximity Read

Identification of key genes related to immune cells in patients with COVID-19 via Integrated Bioinformatics-Based AnalysisSemantic proximity Read

COVID-19: A Drug Repurposing and Biomarker Identification by Using Comprehensive Gene-Disease Associations through Protein-Protein Interaction Network AnalysisSemantic proximity Read