Advances in Diagnostic, Prognostic and Predictive Biomarkers in Prostate Cancer
A special issue of International Journal of Molecular Sciences (ISSN 1422-0067). This special issue belongs to the section "Molecular Oncology".
Deadline for manuscript submissions: 28 March 2026
Special Issue Editor
Special Issue Information
Dear Colleagues,
This Special Issue of the International Journal of Molecular Sciences (5-year Impact Factor: 5.7) focuses on recent advances in diagnostic, prognostic, and predictive biomarkers for prostate cancer. We welcome contributions addressing a broad spectrum of biomarker modalities, including imaging, genomic, transcriptomic, epigenetic, proteomic, and metabolomic markers, as well as liquid biopsy-derived indicators such as circulating tumor cells (CTCs), cell-free DNA (cfDNA), and exosomal content.
Key themes include the following:
- Clinical utility of multi-omic biomarker panels for distinguishing indolent from aggressive disease.
- Advances in non-invasive diagnostic tools, particularly those based on urine- and blood-based assays.
- The role of biomarkers in predicting treatment response and resistance in localized and metastatic PCa.
- Emerging technologies such as artificial intelligence and machine learning for biomarker integration and clinical application.
- Biomarker-driven approaches for personalized and precision medicine in prostate cancer management.
Emphasizing both basic and translational research, this Special Issue covers the development of non-invasive assays, including imaging- and biomarker-driven prediction of treatment response and mechanisms underlying therapeutic resistance. Furthermore, it explores the integration of artificial intelligence and machine learning to enhance biomarker accuracy and clinical applicability.
Prof. Dr. Radka S. Stoyanova
Guest Editor
Manuscript Submission Information
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Keywords
- prostate cancer
- molecular biomarkers
- imaging
- non-invasive biomarkers
- liquid biopsy
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