Circulating tumor DNA (ctDNA) has emerged as a transformative biomarker in tumor precision medicine, enabling noninvasive insights into tumor genetics and dynamics across the entire disease continuum from diagnosis to treatment monitoring. Over the past two decades, significant advances from early cell-free DNA discovery to sophisticated high-sensitivity digital PCR and next-generation sequencing technologies have successfully facilitated the accurate detection and precise quantification of ctDNA at extremely low variant allele frequencies in peripheral blood samples. Comprehensive mechanistic studies reveal that ctDNA release reflects multiple biological processes including tumor cell apoptosis, necrosis, active secretion mechanisms, and complex microenvironmental influences that affect circulating DNA stability. Recent analytical innovations—including advanced droplet digital PCR platforms, targeted deep sequencing approaches, sophisticated variant-filtering algorithms, miniaturized microfluidic devices, and integrated artificial intelligence/machine learning pipelines—have substantially enhanced both sensitivity and specificity for ctDNA detection across diverse clinical scenarios. Current clinical applications span multiple domains including early cancer detection, minimal residual disease assessment, real-time tumor progression monitoring, comprehensive heterogeneity profiling, and personalized treatment guidance across multiple cancer types including colorectal, lung, breast, pancreatic, melanoma, hematologic, and gynecologic malignancies. Ongoing collaborative efforts in standardization protocols, analytical optimization, and comprehensive ethical governance frameworks aim to systematically address persistent challenges including low ctDNA abundance in early-stage disease, false positives/negatives, patient data privacy concerns, and ensuring equitable global access to these advanced diagnostic technologies. Future research directions emphasize developing ultrasensitive nanotechnology platforms, implementing long-read sequencing methodologies, advancing multi-omics integration strategies, and deploying AI-driven interpretation systems to fully realize ctDNAs transformative potential in precision oncology.
Ruan et al. (Fri,) studied this question.
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