ArticleBriefings in bioinformatics2021
Diseasome and comorbidities complexities of SARS-CoV-2 infection with common malignant diseases.
Article in Briefings in bioinformatics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 1 of them a synthesis that pooled it.
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Who cites it
20 citing papers in PubMed, 1 synthesis or guideline pooled it, 45 citations in OpenAlex.
- Exploration of key drug target proteins highlighting their related regulatory molecules, functional pathways and drug candidates associated with delirium: evidence from meta-data analyses.BMC geriatrics · 2023Pooled it
- Drug Repurposing for COVID-19 by Constructing a Comorbidity Network with Central Nervous System Disorders.International journal of molecular sciences · 2024Article
- Genetic risk factors for severe and fatigue dominant long COVID and commonalities with ME/CFS identified by combinatorial analysis.Journal of translational medicine · 2023Article
- Bioinformatics-based investigation on the genetic influence between SARS-CoV-2 infections and idiopathic pulmonary fibrosis (IPF) diseases, and drug repurposing.Scientific reports · 2023Article
- Organ and cell-specific biomarkers of Long-COVID identified with targeted proteomics and machine learning.Molecular medicine (Cambridge, Mass.) · 2023Article
- Identification of Comorbidities, Genomic Associations, and Molecular Mechanisms for COVID-19 Using Bioinformatics Approaches.BioMed research international · 2023Article
- Article
- Using bioinformatics and systems biology to discover common pathogenetic processes between sarcoidosis and COVID-19.Gene reports · 2022Article
- Article
- Computational identification of host genomic biomarkers highlighting their functions, pathways and regulators that influence SARS-CoV-2 infections and drug repurposing.Scientific reports · 2022Article
- Article
- A deep learning approach using effective preprocessing techniques to detect COVID-19 from chest CT-scan and X-ray images.Computers in biology and medicine · 2021Article
- Bioinformatics and system biology approaches to identify the diseasome and comorbidities complexities of SARS-CoV-2 infection with the digestive tract disorders.Briefings in bioinformatics · 2021Article
- Effects of Bacille Calmette Guerin (BCG) vaccination during COVID-19 infection.Computers in biology and medicine · 2021Article
- Identifying molecular insight of synergistic complexities for SARS-CoV-2 infection with pre-existing type 2 diabetes.Computers in biology and medicine · 2021Article
- Peroxiredoxins-The Underrated Actors during Virus-Induced Oxidative Stress.Antioxidants (Basel, Switzerland) · 2021Review
- Machine Learning Approach to Predicting COVID-19 Disease Severity Based on Clinical Blood Test Data: Statistical Analysis and Model Development.JMIR medical informatics · 2021Article
- The Potential Bioactive Components of Nine TCM Prescriptions Against COVID-19 in Lung Cancer Were Explored Based on Network Pharmacology and Molecular Docking.Frontiers in medicine · 2021Article
- System biology and bioinformatics pipeline to identify comorbidities risk association: Neurodegenerative disorder case study.PloS one · 2021Article
- Association of comorbidities with the COVID-19 severity and hospitalization: A study among the recovered individuals in Bangladesh.International journal of health sciencesArticle
Corrections and comments
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Authors and funding
8 authors at 5 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
With the increasing number of immunoinflammatory complexities, cancer patients have a higher risk of serious disease outcomes and mortality with SARS-CoV-2 infection which is still not clear. In this study, we aimed to identify infectome, diseasome and comorbidities between COVID-19 and cancer via comprehensive bioinformatics analysis to identify the synergistic severity of the cancer patient for SARS-CoV-2 infection. We utilized transcriptomic datasets of SARS-CoV-2 and different cancers from Gene Expression Omnibus and Array Express Database to develop a bioinformatics pipeline and software tools to analyze a large set of transcriptomic data and identify the pathobiological relationships between the disease conditions. Our bioinformatics approach revealed commonly dysregulated genes (MARCO, VCAN, ACTB, LGALS1, HMOX1, TIMP1, OAS2, GAPDH, MSH3, FN1, NPC2, JUND, CHI3L1, GPNMB, SYTL2, CASP1, S100A8, MYO10, IGFBP3, APCDD1, COL6A3, FABP5, PRDX3, CLEC1B, DDIT4, CXCL10 and CXCL8), common gene ontology (GO), molecular pathways between SARS-CoV-2 infections and cancers. This work also shows the synergistic complexities of SARS-CoV-2 infections for cancer patients through the gene set enrichment and semantic similarity. These results highlighted the immune systems, cell activation and cytokine production GO pathways that were observed in SARS-CoV-2 infections as well as breast, lungs, colon, kidney and thyroid cancers. This work also revealed ribosome biogenesis, wnt signaling pathway, ribosome, chemokine and cytokine pathways that are commonly deregulated in cancers and COVID-19. Thus, our bioinformatics approach and tools revealed interconnections in terms of significant genes, GO, pathways between SARS-CoV-2 infections and malignant tumors.
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