Notch-based gene signature for predicting the response to neoadjuvant chemotherapy in triple-negative breast cancer.

ABSTRACT:

Background

While the efficacy of neoadjuvant chemotherapy (NACT) in treating triple-negative breast cancer (TNBC) is generally accepted, not all patients derive benefit from this preoperative treatment. Presently, there are no validated biomarkers to predict the NACT response, and previous attempts to develop predictive classifiers based on gene expression data have not demonstrated clinical utility. However, predictive models incorporating biological constraints have shown increased robustness and improved performance compared to agnostic classifiers.

Methods

We used the preoperative transcriptomic profiles from 298 patients with TNBC to train and test a rank-based classifier, k-top scoring pairs, to predict whether the patient will have pathological complete response (pCR)

SUBMITTER: Omar M 

PROVIDER: S-EPMC10647131 | biostudies-literature | 2023 Nov

REPOSITORIES: biostudies-literature