Methylation-to-Expression Feature Models of Breast Cancer Accurately Predict Overall Survival, Distant-Recurrence Free Survival, and Pathologic Complete Response in Multiple Cohorts

Prognostic biomarkers serve a variety of purposes in cancer treatment and research, such as prediction of cancer progression, and treatment eligibility. Despite growing interest in multi-omic data integration for defining prognostic biomarkers, validated methods have been slow to emerge. Given that...

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Detalles Bibliográficos
Autores principales: Thompson, Jeffrey A., Christensen, Brock C., Marsit, Carmen J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2018
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5979962/
https://www.ncbi.nlm.nih.gov/pubmed/29581450
http://dx.doi.org/10.1038/s41598-018-23494-0

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5979962/
https://www.ncbi.nlm.nih.gov/pubmed/29581450
http://dx.doi.org/10.1038/s41598-018-23494-0

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