首页|Yangtze University Reports Findings in Breast Cancer (Validating linalool as a p otential drug for breast cancer treatment based on machine learning and molecula r docking)
Yangtze University Reports Findings in Breast Cancer (Validating linalool as a p otential drug for breast cancer treatment based on machine learning and molecula r docking)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on Oncology - Breast Canc er is the subject of a report. According to news reporting originating in Jingzh ou, People’s Republic of China, by NewsRx journalists, research stated, “Breast cancer (BC) is a common cancer for women. This study aims to construct a prognos tic risk model of BC and identify prognostic biomarkers through machine learning approaches, and clarify the mechanism by which linalool exerts tumor-suppressiv e function.” The news reporters obtained a quote from the research from Yangtze University, “ Three mRNA microarray/RNA sequencing data sets (GSE25055, GSE103091, and TCGA-BR CA) were obtained from Gene Expression Omnibus database and The Cancer Genome At las database, and prognostic genes were obtained by univariate COX analysis. Mul tiple machine learning methods were used to screen core genes and construct prog nostic risk models. The enrichment analysis of crucial genes was analyzed using the DAVID database. UALCAN, human protein atlas, geneMANIA, and LinkedOmics data bases were used to analyze gene expression and co-expressed genes. Molecular doc king and molecular dynamics simulation was applied to verify the binding affinit y between linalool and phosphoglycerate kinase 1 (PGK1). Cell counting kit 8 (CC K-8, Edu, transwell, flow cytometry, and Western blot assay were used to analyze cell activity, apoptosis, cell cycle and protein expression. Eight prognostic g enes were obtained by bioinformatics analysis and machine learning, and prognost ic risk models were constructed. This model could well predict the prognosis of patients, and the risk score could be used as an independent risk factor for BC. Overall survival (OS) and immune cell infiltration characteristics were distinc t between high and low risk groups. PGK1 was highly expressed in BC and the OS o f patients with high PGK1 expression was shorter. PGK1 was related to cell cycle and PPAR signaling pathway. Linalool and PGK1 had good binding activity, and li nalool could inhibit the viability, proliferation, migration, and invasion of BC cells, promote cell apoptosis, and induce G0/G1 arrest. In addition, linalool c an promote PPARg protein expression and inhibit PGK1 expression.”
JingzhouPeople’s Republic of ChinaAs iaBreast CancerCancerCyborgsDrugs and TherapiesEmerging TechnologiesGeneticsHealth and MedicineMachine LearningOncologyProtein ExpressionP roteomicsRisk and PreventionWomen’s Health
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