ArticleJCO precision oncology2019
Identification of Actionable Genomic Alterations Using Circulating Cell-Free DNA.
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 8 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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
8 citing papers in PubMed, 10 citations in OpenAlex.
- Interference of clonal hematopoiesis in cfDNA liquid biopsy testing and identification of actionable alterations in large diverse cohort of US veterans.The oncologist · 2026Article
- Utility of Germline, Somatic and ctDNA Testing in Adults With Cancer.Cancer medicine · 2025Review
- The Safety and Suitability of DNA Sequencing of Tissue Biopsies Performed on Patients Referred to a Phase I Unit.Cancers · 2024Article
- Molecular and functional landscape of malignant serous effusions for precision oncology.Nature communications · 2024Article
- Clinical value of next-generation sequencing in guiding decisions regarding endocrine therapy for advanced HR-positive/HER-2-negative breast cancer.Chinese journal of cancer research = Chung-kuo yen cheng yen chiu · 2022Article
- Use of on-therapy ctDNA monitoring in a patient withTranslational lung cancer research · 2022Article
- Leveraging the Fragment Length of Circulating Tumour DNA to Improve Molecular Profiling of Solid Tumour Malignancies with Next-Generation Sequencing: A Pathway to Advanced Non-invasive Diagnostics in Precision Oncology?Molecular diagnosis & therapy · 2021Review
- Circulating tumour DNA in metastatic breast cancer to guide clinical trial enrolment and precision oncology: A cohort study.PLoS medicine · 2020Article
Corrections and comments
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Authors and funding
16 authors at 2 institutions in 1 country.
Funding
Abstract
purposeCell-free DNA (cfDNA) next-generation sequencing is a noninvasive approach for genomic testing. We report the frequency of identifying alterations and their clinical actionability in patients with advanced/metastatic cancer. PATIENTS AND
methodsProspectively consented patients had cfDNA testing performed. Alterations were assessed for therapeutic implications.
resultsWe enrolled 575 patients with 37 tumor types. Of these patients, 438 (76.2%) had at least one alteration detected, and 205 (35.7%) had one or more alterations of high potential for clinical action. In diseases with 10 or more patients enrolled, 50% or more had at least one alteration deemed of high potential for clinical action. Trials were identified in 80% of patients (286 of 357) with any alteration and in 92% of patients (188 of 205) with one or more alterations of high potential for clinical action of whom 57.6% (118 of 205) had 6 or more months of follow-up available. Of these patients, 10% (12 of 118) had received genomically matched therapy through enrollment in clinical trials (n = 8), off-label drug use (n = 3), or standard of care (n = 1). Although 88.6% of all patients had a performance status of 0 or 1 upon enrollment, the primary reason for not acting on alterations was poor performance status at next treatment change (28.1%; 27 of 96).
conclusioncfDNA testing represents a readily accessible method for genomic testing and allows for detection of genomic alterations in most patients with advanced disease. Utility may be higher in patients interested in investigational therapeutics with adequate performance status. Additional study is needed to determine whether utility is enhanced by testing earlier in the treatment course.
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.