Machine learning identified extrachromosomal DNA-related 12 gene signatures to predict cancer immunotherapy response

Abstract Extrachromosomal circular DNA (ecDNA) has emerged as a critical determinant of poor clinical outcomes and immune escape in tumors, but the high cost and technical complexity of current detecting techniques limit its broader investigation in cancer immunotherapy. Leveraging the combined mach...

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Auteurs principaux:	Yan Ju, Jingwei Zhang, Jiaming Deng, Xingyuan Wu, Haotian Yang, Changyu Tao, Xiao Li
Format:	Artigo
Langue:	Inglês
Publié:	BMC 2025-12-01
Collection:	Cancer Cell International
Sujets:	Extrachromosomal circular DNA (ecDNA) Oncogene amplification Machine learning Cancer immunotherapy Immune infiltration
Accès en ligne:	https://doi.org/10.1186/s12935-025-04056-7
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