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 561

Special Issue Editors


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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

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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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Published Papers (1 paper)

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Research

23 pages, 6264 KiB  
Article
Prognostic Significance of Macrophage Phenotypes in Peri-Tumoral Normal Tissue of Early-Stage Breast Cancer
by Marcel Hirschmann, Sören Schnellhardt, Matthias Rübner, Sarah Segelhorst, Oliver Ott, Ramona Erber, Christoph Daniel, Maike Büttner-Herold, Paul Gass, Rainer Fietkau and Luitpold Distel
Cells 2025, 14(11), 828; https://doi.org/10.3390/cells14110828 - 3 Jun 2025
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Abstract
In recent years, tumor-infiltrating inflammatory cells within the tumor microenvironment have been extensively studied. However, much less is known about inflammatory cells in the normal tissue surrounding tumors. In this study, we assess the prognostic significance of tumor-associated macrophages (TAMs) in relation to [...] Read more.
In recent years, tumor-infiltrating inflammatory cells within the tumor microenvironment have been extensively studied. However, much less is known about inflammatory cells in the normal tissue surrounding tumors. In this study, we assess the prognostic significance of tumor-associated macrophages (TAMs) in relation to disease-free survival (DFS) in patients with early-stage breast cancer. Our cohorts included patients from the APBI and BBCC trials, with eligible tumors being small in size and showing no signs of metastasis. We analyzed eight distinct inflammatory cell types in the normal tissue surrounding tumors, with a particular focus on the various macrophage subsets. There were clear differences in the frequencies of the different inflammatory cells, with a higher abundance of cells being found in the intraepithelial compartment compared to the stromal compartment. Notably, we found that M2-type macrophages located in the stromal compartment of tumor distant normal tissue exhibited a positive prognostic impact, in contrast to the M2-type macrophages found within the tumor itself. In the normal tissue surrounding tumors, there are surprisingly clear prognostic predictions for DFS. Normal tissue surrounding breast cancer tumors is clearly influenced by the tumor and could also influence the tumor in terms of growth and metastasis. Tumor-influenced inflammatory cells in the surrounding normal tissue could prevent the immune system from acting against the tumor and promote tumor growth through inflammation. Full article
(This article belongs to the Special Issue Biomarkers in Breast Cancer)
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