ArticleOncotarget2017
The detection and significance of EGFR and BRAF in cell-free DNA of peripheral blood in NSCLC.
Article in Oncotarget, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers, 4 of them syntheses that pooled it.
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
24 citing papers in PubMed, 4 syntheses or guidelines pooled it, 33 citations in OpenAlex.
- Efficacy of liquid biopsy for genetic mutations determination in non-small cell lung cancer: a systematic review on literatures.BMC cancer · 2025Pooled it
- Liquid biopsy in non-small cell lung cancer: a meta-analysis of state-of-the-art and future perspectives.Frontiers in genetics · 2023Pooled it
- Reliability of BRAF mutation detection using plasma sample: A systematic review and meta-analysisMedicine · 2021Pooled it
- Gene-Guided Treatment Decision-Making in Non-Small Cell Lung Cancer - A Systematic Review.Frontiers in oncology · 2021Pooled it
- BRAF V600E Mutation in Ganglioglioma: Impact on Epileptogenicity and Implications for Surgical Strategy.European journal of neurology · 2025Article
- Review
- Applications of Liquid Biopsies in Non-Small-Cell Lung Cancer.Diagnostics (Basel, Switzerland) · 2022Review
- Investigating a clinically actionableCase reports in women's health · 2022Article
- Advances in anti-BRAF therapies for lung cancer.Investigational new drugs · 2021Review
- The Role of the Liquid Biopsy in Decision-Making for Patients with Non-Small Cell Lung Cancer.Journal of clinical medicine · 2020Review
- Updates on the Management of Thyroid Cancer.Hormone and metabolic research = Hormon- und Stoffwechselforschung = Hormones et metabolisme · 2020Review
- Current status and future perspectives of liquid biopsy in non-small cell lung cancer.Journal of pathology and translational medicine · 2020Review
- Review
- Cell-Free Circulating Tumour DNA Blood Testing to DetectOntario health technology assessment series · 2020Article
- Assessing the Concordance of Genomic Alterations between Circulating-Free DNA and Tumour Tissue in Cancer Patients.Cancers · 2019Review
- A comparison ofTranslational lung cancer research · 2019Article
- Circulating free tumor DNA in non-small cell lung cancer (NSCLC): clinical application and future perspectives.Journal of thoracic disease · 2019Review
- Detection Of Mutations In The Isocitrate Dehydrogenase Genes (IDH1/IDH2) Using castPCROncoTargets and therapy · 2019Article
- miR-767-3p Inhibits Growth and Migration of Lung Adenocarcinoma Cells by Regulating CLDN18.Oncology research · 2018Article
- Evidence-based best practices forCurrent oncology (Toronto, Ont.) · 2018Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectiveAlthough driver mutation status is crucial to targeted therapy decision-making in non-small cell lung cancer (NSCLC), due to unavailable or inadequate biopsies, there are still many patients with unknown mutation status. A promising way to solve this problem is liquid biopsy, such as cell-free DNA (cfDNA) in peripheral blood. Additionally, due to the little amount of cfDNA, detecting methods with high sensitivity, specificity and economy are required in clinical practice. Here, we explored the feasibility of Competitive Allele-Specific TaqMan® PCR (CastPCR) detecting driver mutations in cfDNA from plasma in lung adenocarcinoma patients.
resultsSensitivity, specificity, concordance, PPV and NPV of CastPCR detecting EGFR mutations in cfDNA was 56.4% (31/55), 94.2% (49/52), 74.8% (80/107), 91.2% (31/34) and 67.1% (49/73), respectively. Notably, specificity and PPV for p.T790M both reached 100.0%. For BRAF detection, it was 28.6% (2/7), 93.0% (93/100), 88.8% (95/107), 22.2% (2/9) and 94.9% (93/98), respectively. MATERIALS AND
methodsPlasma specimens of 107 lung adenocarcinoma patients and their matched tumor formalin fixed paraffin embedded (FFPE) samples were analyzed. CastPCR was used to detect EGFR (c.2235_2249del, c.2236_2250del, c.2369C>T p.T790M, c.2573T>G p.L858R) and BRAF (c.1406G>C p.G469A, c.1799T>A p.V600E, c.1781A>G p.D594G) mutations. Mutation results of tumor tissue was set as gold standard, and the sensitivity, specificity, concordance, positive predictive value (PPV) and negative predictive value (NPV) were calculated for each mutation.
conclusionsFor patients whose tumor tissue is unavailable or inadequate, EGFR mutation detection in cfDNA with CastPCR could be first choice. Mutation positive results may provide reference for further clinical medication. While negative results indicate that detection in tissue should be considered as the following step. In this way, tumor tissue could be economized to the maximum extent and the risk of repeated percutaneous transthoracic lung biopsy could also be lowered to the maximum extent. For BRAF detection in cfDNA, CastPCR is a specific method while the sensitivity needs further exploration.
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.