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Updated: Sep 25, 2025

A Standardized Liquid Biopsy Preanalytical Protocol for Downstream Circulating-Free DNA Applications
Published on: September 16, 2022
Cell-Free Tumor DNA (cf-tDNA) Liquid Biopsy: Current Methods and Use in Brain Tumor Immunotherapy
Jack Wadden1, Karthik Ravi1, Vishal John1
1Department of Pediatric Hematology and Oncology, Michigan Medicine, Ann Arbor, MI, United States.
Abstract:
Gliomas are tumors derived from mutations in glial brain cells. Gliomas cause significant morbidity and mortality and development of precision diagnostics and novel targeted immunotherapies are critically important. Radiographic imaging is the most common technique to diagnose and track response to treatment, but is an imperfect tool. Imaging does not provide molecular information, which is becoming critically important for identifying targeted immunotherapies and monitoring tumor evolution. Furthermore, immunotherapy induced inflammation can masquerade as tumor progression in images (pseudoprogression) and confound clinical decision making. More recently, circulating cell free tumor DNA (cf-tDNA) has been investigated as a promising biomarker for minimally invasive glioma diagnosis and disease monitoring. cf-tDNA is shed by gliomas into surrounding biofluids (e.g. cerebrospinal fluid and plasma) and, if precisely quantified, might provide a quantitative measure of tumor burden to help resolve pseudoprogression. cf-tDNA can also identify tumor genetic mutations to help guide targeted therapies. However, due to low concentrations of cf-tDNA, recovery and analysis remains challenging. Plasma cf-tDNA typically represents <1% of total cf-DNA due to the blood-brain barrier, limiting their usefulness in practice and motivating the development and use of highly sensitive and specific detection methods. This mini review summarizes the current and future trends of various approaches for cf-tDNA detection and analysis, including new methods that promise more rapid, lower-cost, and accessible diagnostics. We also review the most recent clinical case studies for longitudinal disease monitoring and highlight focus areas, such as novel accurate detection methodologies, as critical research priorities to enable translation to clinic.
Insights
Circulating cell-free tumor DNA (cf-tDNA) shows promise for diagnosing gliomas and monitoring treatment. Developing sensitive detection methods is key to overcoming challenges with low cf-tDNA concentrations for clinical use.
Area of Science:
- Neuro-oncology
- Molecular Diagnostics
- Biomarker Discovery
Background:
- Gliomas, originating from glial cells, present significant health challenges.
- Current diagnostic imaging for gliomas lacks molecular insights and can be confounded by pseudoprogression.
- Circulating cell-free tumor DNA (cf-tDNA) is emerging as a potential minimally invasive biomarker for glioma diagnosis and monitoring.
Purpose of the Study:
- To review current and future trends in cf-tDNA detection and analysis for glioma.
- To highlight the potential of cf-tDNA in improving glioma diagnosis, monitoring treatment response, and guiding targeted therapies.
- To identify critical research priorities for translating cf-tDNA detection into clinical practice.
Main Methods:
- Review of existing literature on cf-tDNA detection and analysis methods for gliomas.
- Analysis of clinical case studies for longitudinal disease monitoring using cf-tDNA.
- Discussion of emerging technologies for rapid, cost-effective, and accessible cf-tDNA diagnostics.
Main Results:
- cf-tDNA offers a minimally invasive approach to assess tumor burden and genetic mutations in gliomas.
- Challenges remain in cf-tDNA recovery and analysis due to low concentrations, particularly in plasma.
- Advanced detection methodologies are crucial for improving sensitivity and specificity.
Conclusions:
- cf-tDNA holds significant potential for precision diagnostics and personalized immunotherapy in glioma management.
- Further research into accurate and sensitive cf-tDNA detection methods is essential for clinical translation.
- Optimizing cf-tDNA analysis can help overcome limitations of current imaging techniques and improve patient outcomes.

