Trial reportJournal of translational medicine2019
Translational value of IDH1 and DNA methylation biomarkers in diagnosing lung cancers: a novel diagnostic panel of stage and histology-specificity.
Trial report in Journal of translational medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 2 of them syntheses that pooled it.
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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, 2 syntheses or guidelines pooled it, 15 citations in OpenAlex.
- Circulating cell-free DNA methylation as biomarker for lung cancer detection: a systematic review and meta-analysis of diagnostic studies.Systematic reviews · 2025Pooled it
- The Neglected Role of Trichomonas tenax in Oral Diseases: A Systematic Review and Meta-analysis.Acta parasitologica · 2021Pooled it
- Construction and analysis of the invasive prediction model for pulmonary nodules: based on clinical, CT image and DNA methylation characteristics.Journal of thoracic disease · 2025Article
- The advances of DNA methylation in the liquid biopsy for the detection of lung cancer.Frontiers in oncology · 2025Review
- Circulating tumour DNA analysis for early detection of lung cancer: a systematic review.Annals of translational medicine · 2024Review
- miR-375 Combined with SHOX2 Methylation has Higher Diagnostic Efficacy for Non-Small-Cell Lung Cancer.Molecular biotechnology · 2023Article
- Necrotic reshaping of the glioma microenvironment drives disease progression.Acta neuropathologica · 2022Review
- A functional methylation signature to predict the prognosis of Chinese lung adenocarcinoma based on TCGA.Cancer medicine · 2022Article
Corrections and comments
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Authors and funding
12 authors at 1 institution in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundLung cancer is the leading cause of cancer-related death worldwide, and the timely and serial assessment of low-dose computed tomography (LDCT) in high-risk populations remains a challenge. Furthermore, testing a single biomarker for the diagnosis of lung cancers is of relatively low effectiveness. Thus, a stronger diagnostic combination of blood biomarkers is needed to improve the diagnosis of non-small cell lung cancer (NSCLC).
methodsThe blood levels of individual biomarkers [IDH1, DNA methylation of short stature homeobox 2 gene (SHOX2), and prostaglandin E receptor 4 gene (PTGER4)] were measured and statistically analyzed in samples from healthy controls and patients with lung cancer. In total, 221 candidates were enrolled and randomly assigned into two groups for the training and validation of a diagnostic panel. Additionally, a subgroup analysis was performed in the whole cohort.
resultsA newly combined 3-marker diagnostic model for lung cancers was established and validated with area under the receiver operating characteristic (ROC) curve (AUC) values ranging from 0.835 to 0.905 in independent groups showing significantly stronger diagnostic value compared with a single tested biomarker. The sensitivity of the diagnostic model was as high as 86.1% and 80.0% in the training and validation sets, respectively. Although no apparent differences were found between the 3-marker and 2-marker models, the high clinical T-stage and histological type specificity of IDH1 and two other methylated DNA biomarkers were demonstrated in the subgroup analysis.
conclusionsThe combination of single biomarkers with high stage-specificity and histological type specificity (SHOX2 and PTGER4 DNA methylation and IDH1) showed better diagnostic performance in the detection of lung cancers compared with single marker assessment. A greater clinical utility of the panel may be developed by adding demographic/epidemiologic characteristics.
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