ArticleFrontiers in genetics2026
Identification of NETs and inflammation-related prognostic genes in breast cancer and PCR experimental validation.
Article in Frontiers in genetics, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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Abstract
Background: Neutrophil extracellular trap-driven necrosis-related genes (NRGs) and inflammation-related genes (IRGs) are crucial in mitigating or inhibiting cancer progression in breast cancer patients. The interaction between NRGs and IRGs in breast cancer remains unclear. Thus, identifying prognostic genes associated with NETosis and inflammation in breast cancer may offer a novel approach to improving the outcome of breast cancer. Methods: Genes with statistically significant expression levels and correlations with IRGs and NRGs scores were selected as candidate genes, and the protein-protein interactions of the encoded proteins were explored. Subsequently, prognostic genes were further identified and build the risk model. Lastly, independent prognostic factors were determined through independent prognostic analysis, a prognostic model was established, and the immune microenvironment and drug sensitivity were analyzed. Results: The study identified Conclusion: This study constructed a risk model and a nomogram for breast cancer prognosis using bioinformatics methods, and analyzed prognostic genes of breast cancer, which will be helpful to the improvement of breast cancer's outcome and the development of clinical medicine.
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