Go to The Journal of Clinical Investigation
  • About
  • Editors
  • Consulting Editors
  • For authors
  • Publication ethics
  • Publication alerts by email
  • Transfers
  • Advertising
  • Job board
  • Contact
  • Physician-Scientist Development
  • Current issue
  • Past issues
  • By specialty
    • COVID-19
    • Cardiology
    • Immunology
    • Metabolism
    • Nephrology
    • Oncology
    • Pulmonology
    • All ...
  • Videos
  • Collections
    • In-Press Preview
    • Resource and Technical Advances
    • Clinical Research and Public Health
    • Research Letters
    • Editorials
    • Perspectives
    • Physician-Scientist Development
    • Reviews
    • Top read articles

  • Current issue
  • Past issues
  • Specialties
  • In-Press Preview
  • Resource and Technical Advances
  • Clinical Research and Public Health
  • Research Letters
  • Editorials
  • Perspectives
  • Physician-Scientist Development
  • Reviews
  • Top read articles
  • About
  • Editors
  • Consulting Editors
  • For authors
  • Publication ethics
  • Publication alerts by email
  • Transfers
  • Advertising
  • Job board
  • Contact
Molecular subtyping improves breast cancer diagnosis in the Copenhagen Breast Cancer Genomics Study
Tobias Berg, Maj-Britt Jensen, Alan Celik, Maj-Lis Talman, Maria Anna Misiakou, Ann Søegaard Knoop, Finn Cilius Nielsen, Bent Ejlertsen, Maria Rossing
Tobias Berg, Maj-Britt Jensen, Alan Celik, Maj-Lis Talman, Maria Anna Misiakou, Ann Søegaard Knoop, Finn Cilius Nielsen, Bent Ejlertsen, Maria Rossing
View: Text | PDF
Clinical Research and Public Health Oncology

Molecular subtyping improves breast cancer diagnosis in the Copenhagen Breast Cancer Genomics Study

  • Text
  • PDF
Abstract

BACKGROUND Intrinsic molecular subtypes define distinct biological breast cancers and can be used to further improve diagnosis and risk allocation.METHODS The Copenhagen Breast Cancer Genomics Study (CBCGS) prospectively included women diagnosed with breast cancer at Rigshospitalet from 2014 to 2021. Eligible patients were females with a primary invasive breast cancer (T1c, if N0M0; otherwise, any T, any N, or any M stage) and no prior malignancy. All patients underwent molecular profiling with the CIT256 and PAM50 molecular profile.RESULTS In the study period, 2,816 patients were included in the CBCGS. Molecular subtyping showed an increase in nonluminal (molecular-apocrine, luminal C, and Basal-like) as compared with luminal (luminal A, luminal B, and Normal-like) subtypes with increasing stage from I to IV. Across all stages, we found a significant difference in survival among subtypes; 91% of patients with LumA were alive at 5 years compared with 91% for LumB, 84% for LumC, 82% for mApo, and 80% for Basal-like. We identified 442 tumors (16%) that were discordant in subtype between CIT256 and IHC. Discordant subtype proved to be a risk factor of death among patients with IHC luminal breast cancer (hazard ratio [HR], 2.08; 95% CI, 1.51–2.86) in a multivariable Cox regression analysis. Discordance occurred more often among patients with N3, stage IV, or grade III disease.CONCLUSION Our findings indicate that molecular subtypes are a predominant classification for survival. Assessment is particularly crucial for patients with IHC luminal breast cancer with known high-risk factors, since they are at an increased risk of harboring an aggressive molecular subtype.

Authors

Tobias Berg, Maj-Britt Jensen, Alan Celik, Maj-Lis Talman, Maria Anna Misiakou, Ann Søegaard Knoop, Finn Cilius Nielsen, Bent Ejlertsen, Maria Rossing

×
Options: View larger image (or click on image) Download as PowerPoint
Multivariable Cox regression model for overall survival

Multivariable Cox regression model for overall survival


Copyright © 2025 American Society for Clinical Investigation
ISSN 2379-3708

Sign up for email alerts