Construction and validation of a nomogram prediction model for predicting the risk of chemotherapy-induced myelosuppression after chemotherapy in patients with triple-negative breast cancer: a single-center retrospective case-control study.

ABSTRACT:

Background

Triple-negative breast cancer (TNBC) has a poor prognosis due to limited targeted treatments. Chemotherapy often causes chemotherapy-induced myelosuppression (CIM), complicating treatment and raising costs, yet predictive tools for this risk are scarce. This study examined the prevalence and risk factors of CIM in TNBC patients after chemotherapy and created nomograms to predict this risk.

Methods

Nomograms were developed from a retrospective study of 316 TNBC patients treated at the Anning First People's Hospital Affiliated to Kunming University of Science and Technology between 1 July 2021 and 31 May 2024. The patients were split into development and validation cohorts in an 8:2 ratio. Least absolute shrinkage and selection operator (LASSO) identified risk facto

SUBMITTER: Xie H 

PROVIDER: S-EPMC12170043 | biostudies-literature | 2025 May

REPOSITORIES: biostudies-literature