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

Journal: Breast cancer research : BCR
Published Date: Jul 15, 2025

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 distinct transcriptomic information, we hypothesized that combining them would improve classification performance.

Authors

  • Thi T N Do
    Department of Clinical Genetics, Odense University Hospital, Odense, Denmark.
  • Ines Block
    Department of Clinical Genetics, Odense University Hospital, Odense, Denmark.
  • Mark Burton
    Department of Clinical Genetics, Odense University Hospital, Odense, Denmark.
  • Kristina P Sørensen
    Department of Clinical Genetics, Odense University Hospital, Odense, Denmark.
  • Martin J Larsen
  • Anne Marie Bak Jylling
    Department of Pathology, Odense University Hospital. Institute of Clinical Research, University of Southern Denmark, Odense, Denmark.
  • Bent Ejlertsen
    Danish Breast Cancer Cooperative Group & Department of Clinical Oncology Rigshospitalet, Copenhagen University Hospital, Copenhagen, Denmark.
  • Anne-Vibeke Lænkholm
    Department of Surgical Pathology, Zealand University Hospital, Slagelse, Denmark.
  • Qihua Tan
  • Torben A Kruse
    torben.kruse@rsyd.dk.
  • Mads Thomassen

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