ORIGINAL RESEARCH article
Front. Oncol.
Sec. Breast Cancer
Volume 15 - 2025 | doi: 10.3389/fonc.2025.1585574
This article is part of the Research TopicAI-Powered Insights: Predicting Treatment Response and Prognosis in Breast CancerView all 6 articles
Integrating Single-Cell Regulatory Atlas and Multi-Omics Data for Differential Treatment Response and Multimodal Predictive Modeling in CDK 4/6 Inhibitor-Treated Breast Cancer
Provisionally accepted
- The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China
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CDK 4/6 inhibitors are important clinical treatment for breast cancer (BC), but there are significant individual differences in treatment response. In this study, based on BC single-cell sequencing data and multi-omics data, we systematically constructed and analyzed a regulatory network (GRN), and developed the tumor prognostic regulator index (TPRI), which can be used to accurately predict the differential response to CDK4/6 inhibitors in BC patients, to achieve risk stratification of patients, and we validated the reliability of prognostic stratification. The performance of the prediction model was also constructed by combining TPRI with differential genes and miRNAs for logistics regression modeling, which provides a new strategy for clinical typing and individualized treatment of BC, and gives a comprehensive molecular basis for the treatment of BC.
Keywords: breast cancer, TPRI, CDK 4/6 inhibitors, Prognostic model, Transcriptional regulation, TCGA, single-cell sequencing
Received: 28 Feb 2025; Accepted: 30 Jun 2025.
Copyright: © 2025 YAN, Chen, Ran, Zhao, Huang and Yang. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
* Correspondence: Jin Yang, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China
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