A generalizable machine learning framework for classifying DNA repair defects using ctDNA exomes

Specific classes of DNA damage repair (DDR) defect can drive sensitivity to emerging therapies for metastatic prostate cancer. However, biomarker approaches based on DDR gene sequencing do not accurately predict DDR deficiency or treatment benefit. Somatic alteration signatures may identify DDR defi...

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Detalles Bibliográficos
Autores principales: Ritch, Elie J., Herberts, Cameron, Warner, Evan W., Ng, Sarah W. S., Kwan, Edmond M., Bacon, Jack V. W., Bernales, Cecily Q., Schönlau, Elena, Fonseca, Nicolette M., Giri, Veda N., Maurice-Dror, Corinne, Vandekerkhove, Gillian, Jones, Steven J. M., Chi, Kim N., Wyatt, Alexander W.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10011564/
https://www.ncbi.nlm.nih.gov/pubmed/36914848
http://dx.doi.org/10.1038/s41698-023-00366-z

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10011564/
https://www.ncbi.nlm.nih.gov/pubmed/36914848
http://dx.doi.org/10.1038/s41698-023-00366-z

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