Predicting clinical outcomes using cancer progression associated signatures

Somatic mutation signatures are an informative facet of cancer aetiology, however they are rarely useful for predicting patient outcome. The aim of this study is to evaluate the utility of a panel of 142 mutation-signature–associated metrics (P142) for predicting cancer progression in patients from...

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Detalles Bibliográficos
Autores principales: Mamrot, Jared, Hall, Nathan E., Lindley, Robyn A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Impact Journals LLC 2021
Materias:
Research Paper
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8057277/
https://www.ncbi.nlm.nih.gov/pubmed/33889305
http://dx.doi.org/10.18632/oncotarget.27934

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8057277/
https://www.ncbi.nlm.nih.gov/pubmed/33889305
http://dx.doi.org/10.18632/oncotarget.27934

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