LGBM achieved the highest accuracy of 98.75% in predicting HCC among all models surpassing Random Forest (96.25%), DNN (91.25%), SVC (88.75%), and KNN (87.50%). Our machine-learning model incorporating the expression data of RAB11A/STAT1/ATG12/miR-1262/miR-1298/miR-106b-3p/lncRNA-RP11-513I15.6/lncRNA-WRAP53 signature and clinical data represents a potential novel diagnostic model for HCC.
over 1 year ago
Journal • Machine learning
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MIR1262 (MicroRNA 1262) • STAT1 (Signal Transducer And Activator Of Transcription 1) • ATG12 (Autophagy Related 12) • MIR106B (MicroRNA 106b) • RAB11A (RAB11A, Member RAS Oncogene Family)
Overexpression of GRM4 prevents the migration of human GBM cell lines in vitro. In conclusion, it is evident that GRM4 may have a substantial impact on the infiltration of immune cells and also serve as a valuable prognostic biomarker in gliomas.
Conclusively, miR-1262 serves as an antitumor miRNA in colon cancer by targeting FGFR1. The NF-κB/miR-1262/FGFR1 axis modulates colon cancer cell phenotypes, including proliferation, invasion, and migration.
2-AFF promoted hepatic precancerous lesions initiated through DEN by decreasing autophagy, apoptosis, and tumor suppression genes, along with increased cell proliferation, in a time- and dose-dependent manner. These actions were mediated under the epigenetic regulation of lncRNA RP11-513I15.6/miR-1262/miR-1298.
Our findings demonstrate miR-1262 transcriptionally modulated by an enhancer genetic variant suppresses GCA via targeting oncogene ULK1. Our data highlight miR-1262 as a promising diagnostic marker and therapeutic target for GCA.