Biomarkers in Breast Cancer

A special issue of Cells (ISSN 2073-4409). This special issue belongs to the section "Cellular Pathology".

Deadline for manuscript submissions: 10 November 2025 | Viewed by 78

Special Issue Editors


E-Mail Website
Guest Editor
1. Translational Oncology Research Center (TORC), Qatar Biomedical Research Institute (QBRI), Hamad Bin Khalifa University (HBKU), Qatar Foundation (QF), Doha P.O. Box 34110, Qatar
2. College of Health and Life Sciences (CHLS), Hamad Bin Khalifa University (HBKU), Qatar Foundation (QF), Doha P.O. Box 34110, Qatar
Interests: breast cancer; cancer testis antigens; tumor immune microenvironment; tumor target discovery

E-Mail Website
Guest Editor
Translational Oncology Research Center (TORC), Qatar Biomedical Research Institute (QBRI), Hamad Bin Khalifa University (HBKU), Qatar Foundation (QF), Doha P.O. Box 34110, Qatar
Interests: cancer-testis antigens; biomarkers in breast cancer

Special Issue Information

Dear Colleagues,

Breast cancer remains a leading cause of cancer-related mortality in women worldwide, with significant heterogeneity in molecular subtypes, disease progression, and treatment responses. Biomarkers play a crucial role in early detection, prognosis, and personalized therapy, yet challenges persist in translating discoveries into clinical practice. Many candidates require further in vivo validation and assessment in diverse patient cohorts to establish their clinical relevance. Addressing these gaps is essential to integrating biomarkers into precision oncology and improving patient outcomes.

This Special Issue of Cells invites original research and reviews on emerging breast cancer biomarkers, with a focus on:

  • Multi-Omics Biomarkers: Integration of genomics, proteomics, epigenomics, and metabolomics to identify novel diagnostic, prognostic, and predictive biomarkers.
  • Liquid Biopsy and Extracellular Vesicles Biomarkers: Advances in circulating tumor DNA (ctDNA), and exosome-derived biomarkers for non-invasive monitoring of disease progression and treatment response.
  • Artificial Intelligence in Biomarker Discovery: AI-driven approaches to identify clinically relevant biomarkers to enhance early detection and patient stratification for therapy selection.
  • Tumor Microenvironment and Immune Signatures: Single-cell and spatial transcriptomic approaches to identify immune-related prognostic and predictive biomarkers.

This Special Issue aims to bridge the gap between biomarker research and clinical translation. We welcome contributions that push the boundaries of precision oncology.

Dr. Julie Decock
Dr. Sana A. Bentebbal
Guest Editors

Manuscript Submission Information

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Keywords

  • breast cancer biomarkers
  • AI in oncology
  • multi-omics
  • exosomes
  • tumor immune microenvironment
  • liquid biopsy
  • precision oncology
  • personalized medicine

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