Back to Search Start Over

ENDORSE: a prognostic model for endocrine therapy in estrogen-receptor-positive breast cancers.

Authors :
Nath A
Cohen AL
Bild AH
Source :
Molecular systems biology [Mol Syst Biol] 2022 Jun; Vol. 18 (6), pp. e10558.
Publication Year :
2022

Abstract

Advanced and metastatic estrogen receptor-positive (ER <superscript>+</superscript> ) breast cancers are often endocrine resistant. However, endocrine therapy remains the primary treatment for all advanced ER <superscript>+</superscript> breast cancers. Treatment options that may benefit resistant cancers, such as add-on drugs that target resistance pathways or switching to chemotherapy, are only available after progression on endocrine therapy. Here we developed an endocrine therapy prognostic model for early and advanced ER <superscript>+</superscript> breast cancers. The endocrine resistance (ENDORSE) model is composed of two components, each based on the empirical cumulative distribution function of ranked expression of gene signatures. These signatures include a feature set associated with long-term survival outcomes on endocrine therapy selected using lasso-regularized Cox regression and a pathway-based curated set of genes expressed in response to estrogen. We extensively validated ENDORSE in multiple ER <superscript>+</superscript> clinical trial datasets and demonstrated superior and consistent performance of the model over clinical covariates, proliferation markers, and multiple published signatures. Finally, genomic and pathway analyses in patient data revealed possible mechanisms that may help develop rational stratification strategies for endocrine-resistant ER <superscript>+</superscript> breast cancer patients.<br /> (© 2022 The Authors. Published under the terms of the CC BY 4.0 license.)

Details

Language :
English
ISSN :
1744-4292
Volume :
18
Issue :
6
Database :
MEDLINE
Journal :
Molecular systems biology
Publication Type :
Academic Journal
Accession number :
35671075
Full Text :
https://doi.org/10.15252/msb.202110558