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Predicting response to enzalutamide and abiraterone in metastatic prostate cancer using whole-omics machine learning

Authors :
Anouk C. de Jong
Alexandra Danyi
Job van Riet
Ronald de Wit
Martin Sjöström
Felix Feng
Jeroen de Ridder
Martijn P. Lolkema
Source :
Nature Communications, Vol 14, Iss 1, Pp 1-19 (2023)
Publication Year :
2023
Publisher :
Nature Portfolio, 2023.

Abstract

Prostate cancer is known to have a variable response to androgen receptor signalling inhibitors. Here, the authors use machine learning to predict response to therapy from genomic, transcriptomic and clinical data.

Subjects

Subjects :
Science

Details

Language :
English
ISSN :
20411723
Volume :
14
Issue :
1
Database :
Directory of Open Access Journals
Journal :
Nature Communications
Publication Type :
Academic Journal
Accession number :
edsdoj.58d41290711477f987b222a1895084f
Document Type :
article
Full Text :
https://doi.org/10.1038/s41467-023-37647-x