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Updated: Jan 5, 2026

Testing Targeted Therapies in Cancer using Structural DNA Alteration Analysis and Patient-Derived Xenografts
Published on: July 25, 2020
Dynamic Treatment Stratification Using ctDNA
Joana Vidal1,2, Alvaro Taus1,2, Clara Montagut3,4,5
1Cancer Research Program, CIBERONC, Institut Hospital del Mar d'Investigacions Mèdiques, Barcelona, Spain.
Abstract:
An accurate profiling of the genomic landscape is mandatory to establish the best clinical and therapeutic approach for patients with solid malignancies. Moreover, tumor cells constantly adapt to external pressures-i.e., systemic treatment-with the selection and expansion of resistant subclones and the emergence of heterogeneous overlapping genomic alterations of resistance. The current standard for molecular characterization in cancer is the performance of a tissue tumor biopsy at the time of diagnosis and, when possible, a re-biopsy at the time of progression. However, tissue biopsy is not always feasible or practical and may underestimate tumor heterogeneity and clonal dynamics. Circulating DNA fragments carrying tumor-specific sequence alterations (circulating tumor DNA, ctDNA) are released from cancer cells into the bloodstream, representing a variable and generally small fraction of the total circulating cell-free DNA. Tumor genotyping in ctDNA (liquid biopsy) offers potential advantages versus the standard tumor tissue biopsy, including non-invasiveness and representation of molecular heterogeneity. Technical advances in sequencing platforms have led to dramatic improvements in variant detection sensitivity and specificity that allow for the detection and quantification of low levels of ctDNA. This provides valuable information on both actionable mutations and captures real-time variations in tumor dynamics. Liquid biopsy clinical applications include molecular diagnosis, determination of tumor load as a surrogate marker of early response, monitoring of mutations of resistance to targeted therapy and detection of minimal residual disease after cancer surgery. The aim of this chapter is to provide an overview of the biological rational and technical background of ctDNA analysis, as well as on the main clinical applications of liquid biopsy in dynamic treatment stratification in solid tumors. Special emphasis will be made on the current and potential benefits of the implementation of ctDNA in clinical practice, mainly in melanoma, lung, and colorectal cancer.
Insights
Liquid biopsy, analyzing circulating tumor DNA (ctDNA), offers a non-invasive method for cancer profiling. It detects actionable mutations and resistance, aiding dynamic treatment stratification in solid tumors.
Area of Science:
- Oncology
- Genomics
- Molecular Diagnostics
Background:
- Accurate genomic profiling is crucial for solid malignancy treatment and understanding tumor adaptation to therapy.
- Tumor cells develop resistance through clonal expansion and genomic alterations.
- Current standard tumor tissue biopsy has limitations in feasibility and capturing tumor heterogeneity.
Purpose of the Study:
- To provide an overview of the biological rationale and technical background of circulating tumor DNA (ctDNA) analysis.
- To discuss the main clinical applications of liquid biopsy in dynamic treatment stratification for solid tumors.
- To highlight the benefits of ctDNA implementation in clinical practice for melanoma, lung, and colorectal cancer.
Main Methods:
- Analysis of circulating tumor DNA (ctDNA) fragments in blood.
- Utilizing advanced sequencing platforms for high-sensitivity variant detection.
- Comparing liquid biopsy with traditional tumor tissue biopsy.
Main Results:
- Liquid biopsy offers non-invasive tumor genotyping with potential to represent molecular heterogeneity.
- Advances in sequencing enable sensitive detection and quantification of low-level ctDNA.
- ctDNA analysis provides insights into actionable mutations and real-time tumor dynamics.
Conclusions:
- Liquid biopsy is a valuable tool for molecular diagnosis, response assessment, and monitoring resistance.
- It aids in detecting minimal residual disease and dynamic treatment stratification.
- ctDNA analysis holds significant potential for improving clinical practice in solid tumors like melanoma, lung, and colorectal cancer.

