ReviewThe journal of liquid biopsy2023
Liquid biopsy: Cell-free DNA based analysis in breast cancer.
Review in The journal of liquid biopsy, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 23 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
23 citing papers in PubMed.
- Review
- Breast Cancer: Epidemiology, Molecular Classification, Diagnostics and Evolving Treatment Paradigms.Molecules (Basel, Switzerland) · 2026Review
- USP44, ZNF454, and GPRC5B ctDNA Methylation Markers in Breast Cancer: Limited Clinical Relevance for Disease Monitoring and Tumor Characteristics.Asia-Pacific journal of clinical oncology · 2026Article
- Post-CDK4/6 inhibitor therapy in HR+/HER2- advanced breast cancer: expanding options and persisting uncertainties.Exploration of targeted anti-tumor therapy · 2026Review
- Platelet Indices as a Biomarker in Distinguishing Benign and Malignant Breast Lesions.Asian Pacific journal of cancer prevention : APJCP · 2026Article
- Circulating cell-free DNA as an integrative biomarker in breast cancer: correlation with molecular subtypes, mutation status, and treatment response.Frontiers in oncology · 2026Article
- TransBreastNet a CNN transformer hybrid deep learning framework for breast cancer subtype classification and temporal lesion progression analysis.Scientific reports · 2025Article
- Harmonization trial onThe journal of liquid biopsy · 2025Article
- Liquid biopsy in breast cancer: Redefining precision medicine.The journal of liquid biopsy · 2025Review
- Liquid Biopsy in Solid Tumours: An Overview.Cytopathology : official journal of the British Society for Clinical Cytology · 2025Review
- Clinical applications of next-generation sequencing-based ctDNA analyses in breast cancer: defining treatment targets and dynamic changes during disease progression.Molecular oncology · 2025Review
- International society of liquid biopsy (ISLB) perspective on minimal requirements for ctDNA testing in solid tumors.The journal of liquid biopsy · 2025Review
- Evaluation of the efficacy of totally implantable venous access port in breast cancer patients undergoing chemotherapy.Discover oncology · 2025Article
- Circulating tumor DNA fraction predicts residual cancer burden post-neoadjuvant chemotherapy in triple negative breast cancer.The journal of liquid biopsy · 2024Article
- Liquid Biopsy in the Clinical Management of Cancers.International journal of molecular sciences · 2024Review
- Droplet digital PCR analysis of CDH13 methylation status in Slovak women with invasive ductal breast cancer.Scientific reports · 2024Article
- Early Breast Cancer Risk Assessment: Integrating Histopathology with Artificial Intelligence.Cancers · 2024Review
- Extracellular vesicles as a promising source of lipid biomarkers for breast cancer detection in blood plasma.Journal of extracellular vesicles · 2024Article
- Status of breast cancer detection in young women and potential of liquid biopsy.Frontiers in oncology · 2024Review
- Think "HER2" different: integrative diagnostic approaches for HER2-low breast cancer.Pathologica · 2023Review
Corrections and comments
- Erratum issuedErratum.2024
Authors and funding
10 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Breast cancer management has witnessed significant advancements, especially in the diagnosis and treatment response monitoring through the implementation of imaging techniques and tissue biopsy procedures. Nevertheless, there is potential for further improvement by integrating less invasive approaches that offer timely and precise information. Liquid biopsy, which involves isolating tumor-derived components such as circulating cell-free DNA (cfDNA) and its subset known as circulating tumor DNA (ctDNA), can greatly enhance the prognosis, identification of specific genomic alterations, and selection of targeted therapies for breast cancer patients. While the incorporation of ctDNA-based testing into clinical practice has been primarily focused on metastatic breast cancer (MBC), there is growing interest in its applicability in early-stage breast cancer given the ability to capture tumor heterogeneity. Additionally, the minimally invasive nature of ctDNA testing allows for multiple serial samplings, providing a dynamic assessment of tumor characteristics and monitoring treatment response over time. However, the analysis of ctDNA in breast cancer encounters a significant challenge related to its abundance and the temporal aspect of the disease. The quantity of ctDNA in relation to the disease stage poses an important obstacle that often hinders its accurate analysis. Therefore, it is crucial to ensure timely sample collection, employ sensitive detection methods, and carefully manage the pre-analytical phase to overcome these challenges and facilitate successful ctDNA analysis in breast cancer. This article aims to summarize the methodologies employed in the detection of ctDNA, provide a comprehensive review of the current applications of ctDNA analysis in breast cancer, and elucidate the underlying rationale for its potential extension into broader clinical contexts. Furthermore, models that could facilitate the widespread adoption of ctDNA testing in various healthcare institutions are discussed.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.