Trial reportBMC medicine2021
Discovery and validation of methylation signatures in circulating cell-free DNA for early detection of esophageal cancer: a case-control study.
Trial report in BMC medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers, 1 of them a synthesis 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.
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Who cites it
33 citing papers in PubMed, 1 synthesis or guideline pooled it.
- An update of clinical value of circulating tumor DNA in esophageal cancer: a systematic review and meta-analysis.BMC cancer · 2024Pooled it
- A multicenter prospective clinical trial reveals cell-free DNA methylation markers for early esophageal cancer.The Journal of clinical investigation · 2025Trial
- Non-invasive diagnosis of esophageal cancer by a simplified circulating cell-free DNA methylation assay targeting OTOP2 and KCNA3: a double-blinded, multicenter, prospective study.Journal of hematology & oncology · 2024Trial
- A machine-learning informed circulating microbial DNA signature for early diagnosis of esophageal adenocarcinoma.Gut microbes · 2026Article
- Role of liquid biopsy in the multimodal assessment and treatment of esophageal cancer: a surgical perspective.Updates in surgery · 2026Article
- A bibliometric analysis of post-translational modifications in esophageal cancer based on the Web of Science Core Collection database [2000-2026].Journal of thoracic disease · 2026Article
- Machine learning applications in the detection and treatment of esophageal cancer.Discover oncology · 2026Review
- AI in esophageal cancer: advances, barriers to clinical translation, and perspectives for digital health.Journal of translational medicine · 2026Review
- Revolutionizing lung cancer screening: the rise of artificial intelligence integrating circulating tumor markers.World journal of surgical oncology · 2026Review
- From multi-omics to deep learning: advances in cfDNA-based liquid biopsy for multi-cancer screening.Biomarker research · 2025Review
- Development and validation of predictive models combining cell-Free DNA motifs and protein biomarkers for early detection of esophageal squamous cell carcinoma and precancerous lesion.Biomarker research · 2025Article
- Value of circulating free DNA methylation in the diagnosis of esophageal cancer: A systematic review and meta-analysis.Oncology letters · 2025Article
- Breath- and blood-based molecular assessment for gastroesophageal cancer.ESMO gastrointestinal oncology · 2025Review
- T-cell receptor dynamics in digestive system cancers: a multi-layer machine learning approach for tumor diagnosis and staging.Frontiers in immunology · 2025Article
- Development of a novel circulating miRNA panel for early detection of esophageal cancer.American journal of translational research · 2025Article
- Multi-analyte liquid biopsy approaches for early detection of esophageal cancer: the expanding role of ctDNA.Frontiers in oncology · 2025Review
- DNA methylation in esophageal cancer: technological advances and early detection clinical applications.Frontiers in oncology · 2025Review
- Detection of a novel DNA methylation marker panel for esophageal cancer diagnosis using circulating tumor DNA.BMC cancer · 2024Article
- Research Progress of Liquid Biopsy Based on DNA Methylation in Tumor Diagnosis and Treatment.Biomolecules · 2024Review
- Leveraging cfDNA fragmentomic features in a stacked ensemble model for early detection of esophageal squamous cell carcinoma.Cell reports. Medicine · 2024Article
Corrections and comments
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Authors and funding
25 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundPlasma cell-free DNA (cfDNA) methylation has shown promising results in the early detection of multiple cancers recently. Here, we conducted a study to investigate the performance of cfDNA methylation in the early detection of esophageal cancer (ESCA).
methodsSpecific methylation markers for ESCA were identified and optimized based on esophageal tumor and paired adjacent tissues (n = 24). Age-matched participants with ESCA (n = 85), benign esophageal diseases (n = 10), and healthy controls (n = 125) were randomized into the training and test sets to develop a classifier to differentiate ESCA from healthy controls and benign esophageal disease. The classifier was further validated in an independent plasma cohort of ESCA patients (n = 83) and healthy controls (n = 98).
resultsIn total, 921 differentially methylated regions (DMRs) between tumor and adjacent tissues were identified. The early detection classifier based on those DMRs was first developed and tested in plasma samples, discriminating ESCA patients from benign and healthy controls with a sensitivity of 76.2% (60.5-87.9%) and a specificity of 94.1% (85.7-98.4%) in the test set. The performance of the classifier was consistent irrespective of sex, age, and pathological diagnosis (P > 0.05). In the independent plasma validation cohort, similar performance was observed with a sensitivity of 74.7% (64.0-83.6%) and a specificity of 95.9% (89.9-98.9%). Sensitivity for stage 0-II was 58.8% (44.2-72.4%).
conclusionWe demonstrated that the cfDNA methylation patterns could distinguish ESCAs from healthy individuals and benign esophageal diseases with promising sensitivity and specificity. Further prospective evaluation of the classifier in the early detection of ESCAs in high-risk individuals is warranted.
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