Identification of NETs and inflammation-related prognostic genes in breast cancer and PCR experimental validation.

Six prognostic genes related to NETosis and inflammation, including CXCL13 and IL12B, were identified to predict breast cancer outcomes with a moderate accuracy model.

• Why it matters: Understanding the interaction between neutrophil extracellular trap-driven necrosis-related genes and inflammation-related genes is vital for improving breast cancer prognosis and therapy, yet this relationship remains unclear.
• What they did: The study used bioinformatics to select significant genes, analyze protein interactions, and develop a risk model based on six prognostic genes, incorporating clinical factors like age, and validated immune and drug response correlations.
• The result: The resulting prognostic model and nomogram enhance prediction of breast cancer outcomes, identify potential therapeutic drugs such as Metformin, and provide insights into immune interactions, aiding clinical decision-making.