Advancing Precision Medicine in Hepatocellular Carcinoma: The Role of Circulating Tumor Cells
A special issue of Current Oncology (ISSN 1718-7729). This special issue belongs to the section "Cell Therapy".
Deadline for manuscript submissions: 30 November 2025 | Viewed by 46
Special Issue Editor
Interests: liver lesions; hepatocellular carcinoma; liver disease
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Circulating tumor cells (CTCs) have long been recognized for their potential to significantly enhance cancer diagnostics and treatment, yet their role in biomedical research has not been highlighted as prominently in recent years. As a window into tumor biology, CTCs provide invaluable insights into cancer progression, metastasis, and therapeutic response. The detection and analysis of CTCs can facilitate early diagnosis, prognosis prediction, and personalized treatment strategies. However, challenges remain in their isolation, characterization, and clinical application, limiting their widespread integration into routine oncology practice.
In hepatocellular carcinoma (HCC), where treatment decisions rely heavily on tumor burden and disease stage, CTC-based technologies could play a pivotal role in refining risk stratification and guiding therapeutic interventions. By bringing renewed attention to this field, we aim to accelerate advancements that will enhance the utility of CTCs in precision oncology.
This Special Issue aims to explore the latest advancements in CTC research related to HCC precision medicine. We welcome original research articles and reviews on topics including novel CTC detection and analysis techniques, the biological characteristics of HCC-derived CTCs, and their integration into clinical decision-making for more precise and effective HCC treatment.
I look forward to receiving your contributions.
Dr. Amy K. Kim
Guest Editor
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Keywords
- circulating tumor cells
- hepatocellular carcinoma
- precision medicine
- tumor heterogeneity
- early diagnosis
- prognosis
- personalized treatment
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