ArticleTranslational cancer research2021
Effect of
Article in Translational cancer research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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0 citing papers in PubMed, 1 citations in OpenAlex.
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Authors and funding
5 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundThe aim of this study was to predict the target genes and pathways of
methodsThe Traditional Chinese Medicine System Pharmacology database was used to obtain the chemical components and target genes of RA. GC-related genes were downloaded from GeneCard website. GO and KEGG enrichment analyses were used to detect the potential mechanisms of RA targets. Hub genes were identified by protein-protein interaction (PPI) network and then verified by quantitative real-time polymerase chain reaction (qRT-PCR) analysis.
resultsOur analyses identified 34 target genes that contribute to the development of GC. GO analysis showed that the biological functions of the target genes mainly included activation of receptors, including the nuclear receptor, steroid hormone receptor, acetylcholine receptor, G-protein coupled serotonin receptor, serotonin receptor and others. According to KEGG analysis, we found that insulin resistance, galactose metabolism, adipocytokine signaling pathway, breast cancer pathway, and cholinergic synapse were the top 5 pathways involving RA target genes. qRT-PCR and immunohistochemical analysis indicated that RA had significant effects on the expression of hub genes, including MYC, CASP3, SP1, MAPK8, PPARG, FOS, and SLC2A1.
conclusionsOur study revealed the multi-component, multi-target, and multi-mechanisms of RA on GC, which suggest novel therapeutics for GC.
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Registered trials
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