ArticleJCO precision oncology2019
Prospective Longitudinal ctDNA Workflow Reveals Clinically Actionable Alterations in Ovarian Cancer.
Article in JCO precision oncology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.
What it found
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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.
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Who cites it
25 citing papers in PubMed, 42 citations in OpenAlex.
- Identifying Mechanisms of Resistance by Circulating Tumor DNA in EVOLVE, a Phase II Trial of Cediranib Plus Olaparib for Ovarian Cancer at Time of PARP Inhibitor Progression.Clinical cancer research : an official journal of the American Association for Cancer Research · 2023Trial
- Molecular Response Assessment From Circulating Tumor DNA in Patients With Ovarian Cancer Treated With the WEE1 Inhibitor Azenosertib.JCO precision oncology · 2026Article
- Multi-modal data integration reveals functionally credible predictive biomarkers in ovarian cancer.Genome medicine · 2026Article
- Circulating Tumor DNA in Ovarian Cancer: Emerging Roles in Early Detection, Risk Stratification, and Disease Monitoring.Cancers · 2026Review
- Concordance of Genomic Alterations in Ovarian Cancer Tissues and Circulating-Tumor DNA: A Pilot Study.International journal of molecular sciences · 2026Article
- ctDNA as an Objective Marker for Postoperative Residual Disease in Primary Advanced High-Grade Serous Ovarian Cancer.Cancers · 2025Article
- Circulating Tumour DNA for Ovarian Cancer Diagnosis and Treatment Monitoring: What Perspectives for Clinical Use?International journal of molecular sciences · 2025Review
- Identification of Ovarian High-Grade Serous Carcinoma with Mitochondrial Gene Variation.International journal of molecular sciences · 2025Article
- Pretreatment circulating tumor DNA and tissue genomic profiling concordance in ovarian cancer: a prospective observational study of influencing factors and clinical implications.Therapeutic advances in medical oncology · 2025Article
- The role of circulating tumor DNA in gynecological cancer management.Frontiers in oncology · 2025Review
- Current Applications and Challenges of Next-Generation Sequencing in Plasma Circulating Tumour DNA of Ovarian Cancer.Biology · 2024Review
- Clinical relevance of circulating tumor DNA in ovarian cancer: current issues and future opportunities.Exploration of targeted anti-tumor therapy · 2024Review
- Circulating Tumor DNA Is a Variant of Liquid Biopsy with Predictive and Prognostic Clinical Value in Breast Cancer Patients.International journal of molecular sciences · 2023Review
- Pilot Study of Recurrent Ewing's Sarcoma Management with Vigil/Temozolomide/Irinotecan and Assessment of Circulating Tumor (ct) DNA.Clinical cancer research : an official journal of the American Association for Cancer Research · 2023Article
- Liquid biopsy in ovarian cancer in China and the world: current status and future perspectives.Frontiers in oncology · 2023Review
- Kinase Inhibitors in the Treatment of Ovarian Cancer: Current State and Future Promises.Cancers · 2022Review
- Using Genomic Variation to Distinguish Ovarian High-Grade Serous Carcinoma from Benign Fallopian Tubes.International journal of molecular sciences · 2022Article
- Potential clinical utility of liquid biopsies in ovarian cancer.Molecular cancer · 2022Review
- Multi-omics approaches for biomarker discovery in early ovarian cancer diagnosis.EBioMedicine · 2022Review
- Prognostic Impact of Circulating Methylated Homeobox A9 DNA in Patients Undergoing Treatment for Recurrent Ovarian Cancer.Cancers · 2022Article
Corrections and comments
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Authors and funding
15 authors at 4 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
purposeCirculating tumor DNA (ctDNA) detection is a minimally invasive technique that offers dynamic molecular snapshots of genomic alterations in cancer. Although ctDNA markers can be used for early detection of cancers or for monitoring treatment efficacy, the value of ctDNA in guiding treatment decisions in solid cancers is controversial. Here, we monitored ctDNA to detect clinically actionable alterations during treatment of high-grade serous ovarian cancer, the most common and aggressive form of epithelial ovarian cancer with a 5-year survival rate of 43%. PATIENTS AND
methodsWe implemented a clinical ctDNA workflow to detect clinically actionable alterations in more than 500 cancer-related genes. We applied the workflow to a prospective cohort consisting of 78 ctDNA samples from 12 patients with high-grade serous ovarian cancer before, during, and after treatment. These longitudinal data sets were analyzed using our open-access ctDNA-tailored bioinformatics analysis pipeline and in-house Translational Oncology Knowledgebase to detect clinically actionable genomic alterations. The alterations were ranked according to the European Society for Medical Oncology scale for clinical actionability of molecular targets.
resultsOur results show good concordance of mutations and copy number alterations in ctDNA and tumor samples, and alterations associated with clinically available drugs were detected in seven patients (58%). Treatment of one chemoresistant patient was changed on the basis of detection of
conclusionOur results demonstrate a proof of concept for using ctDNA to guide clinical decisions. Furthermore, our results show that longitudinal ctDNA samples can be used to identify poor-responding patients after first cycles of chemotherapy. We provide what we believe to be the first comprehensive, open-source ctDNA workflow for detecting clinically actionable alterations in solid cancers.
Identifiers
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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.