Exploring the effect of hsa-miR-19b-3p on IL-1R1 expression and serum levels in alopecia areata

Archives of Dermatological Research, Journal Year: 2025, Volume and Issue: 317(1)

Published: Jan. 18, 2025

Language: Английский

Constructing a Glioblastoma Prognostic Model Related to Fatty Acid Metabolism Using Machine Learning and Identifying F13A1 as a Potential Target

Biomedicines, Journal Year: 2025, Volume and Issue: 13(2), P. 256 - 256

Published: Jan. 21, 2025

Background: Increased fatty acid metabolism (FAM) is an important marker of tumor metabolism. However, the characterization and function FAM-related genes in glioblastoma (GBM) have not been fully explored. Method: In TCGA-GBM cohort, were divided into three clusters (C1, C2, C3), DEGs between those normal group GBM cohort considered key genes. On basis 10 kinds machine learning methods, we used 101 combinations algorithms to construct prognostic models obtain best model. addition, also validated model GSE43378, GSE83300, CGGA, REMBRANDT datasets. We conducted a multifaceted analysis F13A1, which plays role Results: with worst prognosis, may be associated immunosuppressive phenotype, related positive regulation cell adhesion lymphocyte-mediated immunity. Using multiple identified RSF as model, F13A1 accounts for most contribution. can support malignant cells by promoting macrophages, leading poor prognosis patients. This metabolic reprogramming only enhances survival proliferation but promote growth, invasion, metastasis secreting growth factors cytokines. significantly correlated immune-related molecules, including IL2RA, activate immunity, IL10, suggests immune suppression. interferes recognition killing affecting MHC molecules. Conclusions: The developed here helps us further enhance our understanding FAM provides compelling avenue clinical prediction patient treatment. possibly novel macrophages.

Language: Английский

Advances in the study of Epithelial Mesenchymal Transition in cancer progression: Role of miRNAs

Progress in Biophysics and Molecular Biology, Journal Year: 2025, Volume and Issue: unknown

Published: April 1, 2025

Language: Английский