ArticleMolecular oncology2024
Cell-free DNA from ascites identifies clinically relevant variants and tumour evolution in patients with advanced ovarian cancer.
Article in Molecular oncology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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Who cites it
10 citing papers in PubMed.
- Circulating tumour cells for guiding antibody‒drug conjugate therapy: Role of artificial intelligence.Clinical and translational medicine · 2026Review
- Proteomic analysis of malignant ascites and its impact on ovarian cancer spheroids.Clinical proteomics · 2026Article
- Detecting TP53 mutations in paired liquid and tissue biopsies from patients with high-grade serous ovarian carcinoma.International journal of cancer · 2026Article
- Genomic alterations linked to recurrence risk in high-grade serous ovarian cancer revealed by deep targeted sequencing.Scientific reports · 2025Article
- Development and validation of a computational tool to predict treatment outcomes in cells from high-grade serous ovarian cancer patients.Bioengineering & translational medicine · 2025Article
- Harnessing ovarian cancer ascites for translational science: models, biomarkers, and therapeutics.Molecular cancer · 2025Review
- Article
- Immunomagnetic enrichment coupled to PAX8/TP53 molecular pathology approach increases sensitivity in the detection of ovarian cancer cells in ascites.Frontiers in molecular biosciences · 2025Article
- Beyond HRD Status: Unraveling Genetic Variants Impacting PARP Inhibitor Sensitivity in Advanced Ovarian Cancer.Cancer research communications · 2024Article
- Review
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Authors and funding
10 authors.
Funding
Abstract
The emergence of targeted therapies has transformed ovarian cancer treatment. However, biomarker profiling for precision medicine is limited by access to quality, tumour-enriched tissue samples. The use of cell-free DNA (cfDNA) in ascites presents a potential solution to this challenge. In this study, next-generation sequencing was performed on ascites-derived cfDNA samples (26 samples from 15 human participants with ovarian cancer), with matched DNA from ascites-derived tumour cells (n = 5) and archived formalin-fixed paraffin-embedded (FFPE) tissue (n = 5). Similar tumour purity and variant detection were achieved with cfDNA compared to FFPE and ascites cell DNA. Analysis of large-scale genomic alterations, loss of heterozygosity and tumour mutation burden identified six cases of high genomic instability (including four with pathogenic BRCA1 and BRCA2 mutations). Copy number profiles and subclone prevalence changed between sequential ascites samples, particularly in a case where deletions and chromothripsis in Chr17p13.1 and Chr8q resulted in changes in clinically relevant TP53 and MYC variants over time. Ascites cfDNA identified clinically actionable information, concordant to tissue biopsies, enabling opportunistic molecular profiling. This advocates for analysis of ascites cfDNA in lieu of accessing tumour tissue via biopsy.
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