Breakthroughs and challenges in liquid biopsy technologies for cancer diagnosis and treatment monitoring
Cancer remains a leading global health challenge, with early detection and precise monitoring playing a crucial role in improving patient outcomes. Traditional tissue biopsies, while essential for diagnosis, are invasive, limited in scope, and often fail to capture tumor heterogeneity or track disease progression dynamically. Liquid biopsy technologies have emerged as a transformative alternative, offering a minimally invasive approach to cancer detection and management by analyzing circulating tumor DNA (ctDNA), circulating tumor cells (CTCs), extracellular vesicles, and tumor-derived exosomes in bodily fluids. This review explores the technological advancements that have enhanced the sensitivity and specificity of liquid biopsies, including next-generation sequencing (NGS), droplet digital PCR (ddPCR), and machine learning-driven bioinformatics. The clinical applications of liquid biopsies are vast, encompassing early cancer detection, monitoring of therapeutic responses, identification of minimal residual disease (MRD), and real-time tracking of resistance mutations. These capabilities support the paradigm shift toward precision oncology, allowing clinicians to tailor treatments based on a dynamic understanding of tumor evolution. Despite their promise, liquid biopsies face challenges such as low biomarker abundance, standardization issues, cost barriers, and regulatory complexities, which hinder widespread clinical implementation. However, emerging innovations, including single-cell liquid biopsies, point-of-care diagnostic devices, and AI-assisted biomarker analysis, are set to overcome these limitations. As research advances, liquid biopsies are poised to revolutionize cancer diagnostics, providing a non-invasive, comprehensive, and personalized approach to cancer management that could significantly enhance survival rates and treatment efficacy.
Institutions
- Umaru Musa Yar'adua University (NG)
- Georgia Southern University (US)
- Ladoke Akintola University of Technology (NG)
- Bayero University Kano (NG)
Publication Details
- Journal
- Zenodo (CERN European Organization for Nuclear Research)
- Published
- 2025-04-30
- DOI
- https://doi.org/10.5281/zenodo.17374746
- Primary Topic
- Cancer Genomics and Diagnostics
- Type
- article
- Field-Weighted Citation Impact
- 0.00