
Frontiers in Immunology, Год журнала: 2024, Номер 15
Опубликована: Июнь 19, 2024
Background Neuroblastoma (NB), characterized by its marked heterogeneity, is the most common extracranial solid tumor in children. The status and functionality of mitochondria are crucial regulating NB cell behavior. While significance mitochondria-related genes (MRGs) still missing key knowledge. Materials methods This study leverages consensus clustering machine learning algorithms to construct validate an MRGs-related signature NB. Single-cell data analysis experimental validation were employed characterize pivotal role FEN1 within cells. Results MRGs facilitated classification patients into 2 distinct clusters with considerable differences. constructed quantitative indicators, mtScore mtRisk, effectively patient clusters. Notably, outperformed MYCN predicting prognosis was adept at representing microenvironment (TME), stemness, sensitivity chemotherapeutic agents Cisplatin, Topotecan, Irinotecan. FEN1, identified as contributory gene signature, found play a communication between cells TME, developmental trajectory Experimental validations confirmed FEN1’s significant influence on proliferation, apoptosis, cycle, invasiveness. Conclusion developed this offers novel predictive tool for assessing prognosis, immune infiltration, sensitivity. Our findings unveil critical function NB, suggesting potential therapeutic target.
Язык: Английский