ReviewQJM : monthly journal of the Association of Physicians2016
Circulating DNA in solid organ cancers-analysis and clinical application.
Review in QJM : monthly journal of the Association of Physicians, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 2 of them syntheses that pooled it.
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
9 citing papers in PubMed, 2 syntheses or guidelines pooled it, 19 citations in OpenAlex.
- Cell-Free DNA in Metastatic Colorectal Cancer: A Systematic Review and Meta-Analysis.The oncologist · 2017Pooled it
- Circulating Cell Free DNA as the Diagnostic Marker for Ovarian Cancer: A Systematic Review and Meta-Analysis.PloS one · 2016Pooled it
- Advancements in Early Detection and Screening Strategies for Pancreatic Cancer: From Genetic Susceptibility to Novel Biomarkers.Journal of clinical medicine · 2024Review
- Earlier Diagnosis of Pancreatic Cancer: Is It Possible?Cancers · 2023Review
- Cell-Free DNA Methylation: The New Frontiers of Pancreatic Cancer Biomarkers' Discovery.Genes · 2019Review
- Promoter methylation of ADAMTS1 and BNC1 as potential biomarkers for early detection of pancreatic cancer in blood.Clinical epigenetics · 2019Article
- Prognostic value of various subtypes of extracellular DNA in ovarian cancer patients.Journal of ovarian research · 2018Article
- Detection of somatic mutations in cell-free DNA in plasma and correlation with overall survival in patients with solid tumors.Oncotarget · 2018Article
- Circulating and tissue biomarkers in early-stage non-small cell lung cancer.Ecancermedicalscience · 2017Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors at 2 institutions in 1 country.
Funding
Abstract
Circulating tumour DNA (ctDNA) is that fraction of circulating DNA that is derived from a patient's cancer. For a number of years, patients with haematological malignancies have had their disease diagnosed or monitored using tests based on detecting specific cytological or molecular biomarkers in blood. It has long been appreciated that the more common epithelial malignancies also shed DNA into the blood and that this tumour-derived DNA generally contributes a minor percentage of the overall cell-free DNA burden in peripheral blood. The biotech revolution has transformed our ability to detect, quantify and interpret genetic events. This has led to a renewed interest in the potential of using a simple blood test to both diagnose cancer and longitudinally monitor the response to medical interventions in patients with solid organ malignancies.In this review we provide a summary of the literature to date and describe the main attributes of the current analytical approaches to ctDNA. We then focus on the potential clinical applications. There is increasing evidence to support the routine analysis of ctDNA in clinical decision-making for certain subgroups of patients with so-called hotspot mutations, particularly in lung and colorectal cancer. With continued refinement and technological progress, non-invasive molecular biomarkers including of ctDNA may be clinically useful at all stages of cancer management from diagnosis to disease progression.
Indexed as
Identifiers
What OpenQuestion holds
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.