ArticleInternational journal of cancer2019
A comprehensive methylation signature identifies lymph node metastasis in esophageal squamous cell carcinoma.
Article in International journal of cancer, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06476067 (Predicting Postoperative Early Tumor Recurrence in Patients With Esophageal Squamous Cell Carcinoma), which is not on this map. Cited by 6 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.
Predicting Postoperative Early Tumor Recurrence in Patients With Esophageal Squamous Cell Carcinoma
Who cites it
6 citing papers in PubMed.
- Analysis of the associations between DNA methylation and clinical features reveals the potential oncogenic effect of CFAP52 in esophageal squamous cell cancer.Cancer cell international · 2025Article
- Identification and validation of LINC02381 as a biomarker associated with lymph node metastasis in esophageal squamous cell carcinoma.Translational cancer research · 2025Article
- Review
- Identification of methylation-driven genes related to prognosis in clear-cell renal cell carcinoma.Journal of cellular physiology · 2020Article
- Aberrant DNA Methylation in Esophageal Squamous Cell Carcinoma: Biological and Clinical Implications.Frontiers in oncology · 2020Review
- Identification of DNA methylation-driven genes in esophageal squamous cell carcinoma: a study based on The Cancer Genome Atlas.Cancer cell international · 2019Article
Corrections and comments
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Authors and funding
8 authors.
Funding
Abstract
Treatment modalities in esophageal squamous cell carcinoma (ESCC) depend largely on lymph node metastasis (LNM) status. With suboptimal detection sensitivity of existing imaging techniques, we propose a methylation signature which identifies patients with LNM with greater accuracy. This would allow precise stratification of high-risk patients requiring more aggressive treatment from low-risk ESCC patients who can forego radical surgery. An unbiased genome-wide methylation signature for LNM detection was established from an initial in silico discovery phase. The signature was tested in independent clinical cohorts comprising of 249 ESCC patients. The prognostic potential of the methylation signature was compared to clinical variables including LNM status. A 10-probe LNM associated signature (LNAS) was developed using stringent bioinformatics analyses. The area under the curve values for LNAS risk scores were 0.81 and 0.88 in the training and validation cohorts respectively, in association with lymphatic vessel invasion and tumor stage. High LNAS risk-score was also associated with worse overall survival [HR (95% CI) 3 (1.8-4.8), p < 0.0001 training and 3.9 (1.5-10.2), p = 0.001 validation cohort]. In conclusion, our novel methylation signature is a powerful biomarker that identifies LNM status robustly and is also associated with worse prognosis in ESCC patients.
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