Predicting clinical response to everolimus in ER+ breast cancers using machine-learning.
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ABSTRACT:
SUBMITTER: Nath A
PROVIDER: S-EPMC9592823 | biostudies-literature | 2022
REPOSITORIES: biostudies-literature
Publications
Predicting clinical response to everolimus in ER+ breast cancers using machine-learning.
Nath Aritro A Cosgrove Patrick A PA Chang Jeffrey T JT Bild Andrea H AH
Frontiers in molecular biosciences 20221011
Endocrine therapy remains the primary treatment choice for ER+ breast cancers. However, most advanced ER+ breast cancers ultimately develop resistance to endocrine. This acquired resistance to endocrine therapy is often driven by the activation of the PI3K/AKT/mTOR signaling pathway. Everolimus, a drug that targets and inhibits the mTOR complex has been shown to improve clinical outcomes in metastatic ER+ breast cancers. However, there are no biomarkers currently available to guide the use of ev ...[more]
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