Gene/Protein Disease Symptom Drug Enzyme Compound
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Query: UNIPROT:P15088 (mast cell)
 14,925 document(s) hit in 31,850,051 MEDLINE articles (0.00 seconds)

The role of mast cell mediators on cervical cancer cell migration was assessed using an in vitro assay of scratch wound healing onto monolayers of HPV18-positive cervical carcinoma cells (SW756). Migration of SW756 cells was accelerated by co-culture with the mast cell line LAD2. This effect was inhibited by the H1R antagonist pyrilamine and the cannabinoid agonists 2-arachidonylglycerol (2AG) and Win 55,212-2. Therefore, the specific effects of histamine and cannabinoids on SW756 migration and LAD2 activation were analyzed. Histamine added to the in vitro assay of scratch wound healing either increased or inhibited SW756 migration rate by acting either on H1R or H4R, respectively. Cannabinoids acted on CB1 receptors to inhibit SW756 migration. Supernatants from SW756 cells stimulated LAD2 cell degranulation, which in turn was inhibited by cannabinoids acting via CB2 receptors. RT-PCR showed that SW756 expressed mRNA for CB1, CB2, H1R, H2R, and H4R. On the other hand, LAD2 expressed mRNA for all four HRs and CB2. The results suggest that mast cells could be contributing to cervical cancer cell invasion and spreading by the release of histamine and cannabinoids. Therefore, therapeutic modulation of specific mast cell mediators may be beneficial for cervical cancer treatment.
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PMID:The influence of mast cell mediators on migration of SW756 cervical carcinoma cells. 1829 61

Cervical cancer (CC) remains a most prevalent female cancer worldwide, but there are few biomarkers used in diagnosis and prognosis of CC. The aim of this study is to find reliable and effective biomarkers regarding CC development. Microarray datasets were downloaded from the Gene Expression Omnibus (GEO) database to search potential miRNA-mRNA in CC. The gene ontology term enrichment and Kyoto encyclopedia of genes and genomes (KEGG) pathway analyses were conducted to reveal the underlying functions and pathways of differently expressed genes (DEGs). Univariate Cox, multivariate Cox, and risk scoring methods were performed to identify a prognostic model. A total of 209 DEGs of CC were identified. In the protein-protein interaction network, hub module, and hub genes were recognized. Based on DEGs, three small molecules (thioguanosine, apigenin, and trichostatin A) were screened out as potential drugs. Two miRNAs (hsa-mir-101-3p and hsa-mir-6507-5p) and some transcription factors were found to be associated with prognosis of CC. A five-candidate gene signature (APOBEC3B, DSG2, CXCL8, ABCA8, and PLAGL1) was constructed to stratify risk subgroups for patients with CC. The risk score of the prognostic model was also found to be associated with immune cells infiltration, including mast cell activation, natural killer cells resting, dendritic cells resting, T cells regulatory (Tregs), and T cells follicular helper. The miRNA-mRNA regulatory network and the prognostic model are of great clinical significance in promoting prognosis prediction and treatment of CC.
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PMID:Identification of miRNA-mRNA Regulatory Network and Construction of Prognostic Signature in Cervical Cancer. 3234 36