Multi-transcriptomics predicts clinical outcome in systemically untreated breast cancer patients with extensive follow-up

Multi-transcriptomics predicts clinical outcome in systemically untreated breast cancer patients with extensive follow-up

Abstract Background Prognostic tools for determining patients with indolent breast cancers (BCs) are far from optimal, leading to extensive overtreatment. Several studies have demonstrated mRNAs, lncRNAs and miRNAs to have prognostic potential in BC. Because mRNAs, lncRNAs, and miRNAs capture distin...

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Main Authors: Thi T. N. Do, Ines Block, Mark Burton, Kristina P. Sørensen, Martin J. Larsen, Anne Marie Bak Jylling, Bent Ejlertsen, Anne-Vibeke Lænkholm, Qihua Tan, Torben A. Kruse, Mads Thomassen
Format: Article
Language:English
Published: BMC 2025-07-01
Series:Breast Cancer Research
Subjects:
Multi-transcriptomics
Multi-RNA-based classifier
Breast cancer
Systemically untreated patients
Machine learning methods
Online Access:https://doi.org/10.1186/s13058-025-02061-2
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https://doi.org/10.1186/s13058-025-02061-2

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