Aspirin and Cancer Survival: An Analysis of Molecular Mechanisms.
Manoj PandeyMonika RajputPooja SinghMridula ShuklaBin ZhuJill KoshiolPublished in: Cancers (2024)
The benefit of aspirin on cancer survival is debated. Data from randomized clinical trials and cohort studies are discordant, although a meta-analysis shows a clear survival advantage when aspirin is added to the standard of care. However, the mechanism by which aspirin improves cancer survival is not clear. A PubMed search was carried out to identify articles reporting genes and pathways that are associated with aspirin and cancer survival. Gene ontology and pathway enrichment analysis was carried out using web-based tools. Gene-gene and protein-protein interactions were evaluated. Crosstalk between pathways was identified and plotted. Forty-one genes were identified and classified into primary genes ( PTGS2 and PTGES2 ), genes regulating cellular proliferation, interleukin and cytokine genes, and DNA repair genes. The network analysis showed a rich gene-gene and protein-protein interaction between these genes and proteins. Pathway enrichment showed the interleukin and cellular transduction pathways as the main pathways involved in aspirin-related survival, in addition to DNA repair, autophagy, extracellular matrix, and apoptosis pathways. Crosstalk of PTGS2 with EGFR , JAK/AKT , TP53 , interleukin/ TNFα / NFκB , GSK3B/BRCA/PARP , CXCR/MUC1 , and WNT/CTNNB pathways was identified. The results of the present study demonstrate that aspirin improves cancer survival by the interplay of 41 genes through a complex mechanism. PTGS2 is the primary target of aspirin and impacts cancer survival through six primary pathways: the interleukin pathway, extracellular matrix pathway, signal transduction pathway, apoptosis pathway, autophagy pathway, and DNA repair pathway.
Keyphrases
- dna repair
- genome wide
- genome wide identification
- low dose
- papillary thyroid
- extracellular matrix
- dna damage
- signaling pathway
- antiplatelet therapy
- squamous cell
- genome wide analysis
- cardiovascular events
- oxidative stress
- copy number
- free survival
- endoplasmic reticulum stress
- cell death
- bioinformatics analysis
- healthcare
- small cell lung cancer
- dna methylation
- transcription factor
- lymph node metastasis
- stem cells
- type diabetes
- dna damage response
- epidermal growth factor receptor
- cell proliferation
- inflammatory response
- network analysis
- protein protein
- emergency department
- gene expression
- acute coronary syndrome
- palliative care
- immune response
- cardiovascular disease
- small molecule
- childhood cancer
- young adults
- deep learning
- atrial fibrillation
- double blind
- nuclear factor
- pain management