Integrated machine learning-driven disulfidptosis profiling: CYFIP1 and EMILIN1 as therapeutic nodes in neuroblastoma
CONCLUSIONS: This study showcases the utility of disulfidptosis-related gene scores for predicting prognosis and molecular subtypes of NB. The identified core genes, CYFIP1 and EMILIN1, hold promise as potential therapeutic targets and diagnostic markers for NB.PMID:38427078 | DOI:10.1007/s00432-024-05630-8
Source: Cell Research - Category: Cytology Authors: Zhang Mengzhen Hou Xinwei Tan Zeheng Li Nan Yang Yang Yang Huirong Fan Kaisi Ding Xiaoting Yang Liucheng Wu Kai Source Type: research
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