Bridging the Gap in Breast Cancer Dormancy: Models, Mechanisms, and Translational Challenges
Hussein Sabit1, Shaimaa Abdel-Ghany2, Yasser Albrahim3
1Department of Medical Biotechnology, College of Biotechnology, Misr University for Science and Technology, P.O. Box 77, Giza 3237101, Egypt.
Pharmaceuticals (Basel, Switzerland)
|July 30, 2025
Summary
Late breast cancer (BC) recurrence stems from dormant disseminated tumor cells (DTCs). Addressing DTC dormancy requires integrated multi-omics and targeted therapies to prevent metastatic relapse and improve survival.
Area of Science:
- Oncology
- Cancer Biology
- Translational Medicine
Background:
- Late metastatic recurrence in breast cancer (BC) is driven by dormant disseminated tumor cells (DTCs).
- DTCs evade current therapies and immune surveillance, leading to unpredictable reactivation and mortality.
- Fragmented research, inadequate models, and a lack of biomarkers impede progress in understanding and targeting BC dormancy.
Purpose of the Study:
- To synthesize current knowledge and identify critical gaps in breast cancer dormancy research.
- To propose actionable priorities for fundamental research and clinical translation.
- To advocate for integrated, standardized approaches to combat dormant disseminated tumor cells.
Main Methods:
- Review and synthesis of existing literature on breast cancer dormancy.
- Analysis of current research challenges, including fragmented data and inadequate models.
- Identification of promising technologies like single-cell multi-omics and spatial transcriptomics.
Main Results:
- Significant gaps exist in understanding BC dormancy mechanisms and developing effective therapeutic strategies.
- Advanced multi-omics approaches, including single-cell and spatial transcriptomics, are crucial for unraveling dormancy.
- Macrophage-targeted therapies and validated biomarkers show promise for clinical translation.
Conclusions:
- Urgent need for integrated, standardized research approaches in breast cancer dormancy.
- Development and validation of dormancy-specific clinical trials and biomarkers are essential.
- Multi-omics data combined with advanced computational analysis can illuminate dormancy and guide therapeutic development.


