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Using circulating cell-free DNA to monitor personalized cancer therapy
Michael Oellerich1, Ekkehard Schütz2, Julia Beck2
1a Department of Clinical Pharmacology , University Medical Center Göttingen , Göttingen , Germany.
Abstract:
High-quality genomic analysis is critical for personalized pharmacotherapy in patients with cancer. Tumor-specific genomic alterations can be identified in cell-free DNA (cfDNA) from patient blood samples and can complement biopsies for real-time molecular monitoring of treatment, detection of recurrence, and tracking resistance. cfDNA can be especially useful when tumor tissue is unavailable or insufficient for testing. For blood-based genomic profiling, next-generation sequencing (NGS) and droplet digital PCR (ddPCR) have been successfully applied. The US Food and Drug Administration (FDA) recently approved the first such "liquid biopsy" test for EGFR mutations in patients with non-small cell lung cancer (NSCLC). Such non-invasive methods allow for the identification of specific resistance mutations selected by treatment, such as EGFR T790M, in patients with NSCLC treated with gefitinib. Chromosomal aberration pattern analysis by low coverage whole genome sequencing is a more universal approach based on genomic instability. Gains and losses of chromosomal regions have been detected in plasma tumor-specific cfDNA as copy number aberrations and can be used to compute a genomic copy number instability (CNI) score of cfDNA. A specific CNI index obtained by massive parallel sequencing discriminated those patients with prostate cancer from both healthy controls and men with benign prostatic disease. Furthermore, androgen receptor gene aberrations in cfDNA were associated with therapeutic resistance in metastatic castration resistant prostate cancer. Change in CNI score has been shown to serve as an early predictor of response to standard chemotherapy for various other cancer types (e.g. NSCLC, colorectal cancer, pancreatic ductal adenocarcinomas). CNI scores have also been shown to predict therapeutic responses to immunotherapy. Serial genomic profiling can detect resistance mutations up to 16 weeks before radiographic progression. There is a potential for cost savings when ineffective use of expensive new anticancer drugs is avoided or halted. Challenges for routine implementation of liquid biopsy tests include the necessity of specialized personnel, instrumentation, and software, as well as further development of quality management (e.g. external quality control). Validation of blood-based tumor genomic profiling in additional multicenter outcome studies is necessary; however, cfDNA monitoring can provide clinically important actionable information for precision oncology approaches.
Insights
Liquid biopsies using cell-free DNA (cfDNA) offer non-invasive cancer monitoring. Genomic analysis of cfDNA aids personalized treatment and early detection of resistance, improving outcomes in precision oncology.
Area of Science:
- Oncology
- Genomics
- Molecular Diagnostics
Background:
- High-quality genomic analysis is crucial for personalized cancer pharmacotherapy.
- Cell-free DNA (cfDNA) analysis from blood offers a non-invasive method for real-time molecular monitoring, complementing tissue biopsies.
- cfDNA is particularly valuable when tumor tissue is scarce or unavailable.
Purpose of the Study:
- To review the application of cfDNA analysis in oncology for personalized treatment and monitoring.
- To highlight the utility of genomic profiling of cfDNA for detecting resistance mutations and predicting treatment response.
- To discuss the potential and challenges of implementing liquid biopsy tests in routine clinical practice.
Main Methods:
- Next-generation sequencing (NGS) and droplet digital PCR (ddPCR) are key technologies for cfDNA analysis.
- Chromosomal aberration pattern analysis using low-coverage whole-genome sequencing identifies copy number aberrations (CNAs) and computes a genomic copy number instability (CNI) score.
- Analysis of specific gene aberrations, such as androgen receptor gene mutations, in cfDNA.
Main Results:
- FDA approval of the first liquid biopsy test for EGFR mutations in non-small cell lung cancer (NSCLC) demonstrates clinical utility.
- CNI scores derived from cfDNA have shown promise in discriminating cancer patients from controls and predicting treatment response in various cancers.
- Serial cfDNA profiling can detect resistance mutations significantly earlier than radiographic progression, enabling timely treatment adjustments.
Conclusions:
- cfDNA analysis represents a powerful tool for precision oncology, providing actionable information for personalized cancer care.
- Liquid biopsy tests, while facing implementation challenges, hold significant potential for improving cancer treatment efficacy and patient outcomes.
- Further validation through multicenter outcome studies is necessary to fully integrate cfDNA monitoring into routine clinical practice.