ArticleBMC cancer2024
Detection of a novel DNA methylation marker panel for esophageal cancer diagnosis using circulating tumor DNA.
Article in BMC cancer, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07266363 (SYNERGY Study), which is not on this map. Cited by 3 papers.
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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.
SYNERGY Study: Early Detection Through Integrated Evaluation of Cell-Free and Exosomal microRNAs for Biomarker-Guided Screening of Esophageal Squamous Cell Carcinoma
Who cites it
3 citing papers in PubMed.
- The evolving role of OMICS in gastrointestinal tumor biology and clinical practice.Molecular cancer · 2026Review
- Liquid biopsy biomarkers for early detection of gastrointestinal cancers: Current landscape and emerging technologies.Clinical and translational medicine · 2026Review
- Multi-analyte liquid biopsy approaches for early detection of esophageal cancer: the expanding role of ctDNA.Frontiers in oncology · 2025Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
10 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundEsophageal cancer (ECa) is one of the most deadly cancers, with increasing incidence worldwide and poor prognosis. While endoscopy is recommended for the detection of ECa in high-risk individuals, it is not suitable for large-scale screening due to its invasiveness and inconvenience.
methodsIn this study, a novel gene methylation panel was developed for a blood-based test, and its diagnostic efficacy was evaluated using a cohort of 304 participants (203 cases, 101 controls). The assessment focused on the DNA methylation levels of SEPTIN9, tissue factor pathway inhibitor 2 (TFPI2), and the fragile histidine triad gene (FHIT) in patients with ECa, benign esophageal disease, and healthy controls. The receiver operating characteristic (ROC) curve was generated for the panel to calculate the area under the curve (AUC), sensitivity, specificity, and 95% confidence intervals (CIs), along with a comparison to the gold standard of pathological examination. The consistency between biomarker and pathological diagnosis was evaluated with kappa analysis conducted with IBM SPSS Statistics. The Chi-square test or Fisher's exact test was utilized to assess the association of test positivity with demographic characteristics.
resultsIn patients with ECa, SEPTIN9, TFPI2, and FHIT DNA methylation levels were significantly higher compared to those with benign esophageal disease or healthy controls. The panel demonstrated promising potential as a noninvasive tool for distinguishing malignant tumors from both healthy controls and benign esophageal diseases, achieving an area under the ROC curve of 0.925 (95% CI: 0.889-0.952), with a sensitivity of 79.8% [95% CI 73.6-85.1%] and specificity of 95.0% [95% CI 88.8-98.4%]. In particular, the panel showed exceptional diagnostic efficiency for stage 0, I, and II cancer patients with sensitivity at 69.0, 75.5%, and 78.9%, respectively. The comparison revealed a Kappa value of 0.725 between RT-PCR testing and the established gold standard of pathological examination, indicating a high level of consistency. Additionally, there was no bias in diagnostic efficiency based on age, gender, or the presence of other malignancies (non-esophageal cancers).
conclusionsThe study's findings suggested that the DNA methylation biomarkers panel holds promise as a non-invasive and convenient diagnostic test for ECa. The panel's ability to distinguish malignant tumors from benign esophageal diseases, coupled with its high sensitivity and specificity, presented opportunities to enhance the over-all diagnosis of high-risk population when in conjunction with existing detection methods.
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