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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| Principais autores: | , , , , , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado: |
BMC
2025-12-01
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| Series: | Cancer Cell International |
| Assuntos: | |
| Acceso en liña: | https://doi.org/10.1186/s12935-025-04056-7 |
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