Current advances and future prospects of blood-based techniques for identifying benign and malignant pulmonary nodules
- PMID: 39761937
- DOI: 10.1016/j.critrevonc.2024.104608
Current advances and future prospects of blood-based techniques for identifying benign and malignant pulmonary nodules
Abstract
Lung cancer is the leading cause of cancer-related mortality worldwide, highlighting the urgent need for more accurate and minimally invasive diagnostic tools to improve early detection and patient outcomes. While low-dose computed tomography (LDCT) is effective for screening in high-risk individuals, its high false-positive rate necessitates more precise diagnostic strategies. Liquid biopsy, particularly ctDNA methylation analysis, represents a promising alternative for non-invasive classification of indeterminate pulmonary nodules (IPNs). This review highlights the progress and clinical potential of liquid biopsy technologies, including traditional proteins markers, cfDNA, exosomes, metabolomics, circulating tumor cells (CTCs) and platelets, in lung cancer diagnosis. We discuss the integration of ctDNA methylation analysis with traditional imaging and clinical data to enhance the early detection of IPNs, as well as potential solutions to address the challenges of low biomarker concentration and background noise. By advancing precision diagnostics, liquid biopsy technologies could transform lung cancer management, improve survival rates, and reduce the disease burden.
Keywords: DNA methylation; Early detection; Indeterminate pulmonary nodules; Liquid biopsy; Lung cancer.
Copyright © 2025 Elsevier B.V. All rights reserved.
Conflict of interest statement
Declaration of Competing Interest The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest. No external funding was received for this study. X Wang, C. Ma, and Y. Chen conceived and designed the study. Z. Wang and W. Li provided administrative support. X Wang and Y. Chen collected and assembled the data. X Wang and C. Ma analyzed and interpreted the data. All authors contributed to the writing of the manuscript. All authors read and approved the final manuscript.
Publication types
MeSH terms
Substances
LinkOut - more resources
Full Text Sources
Medical
