Dataset Information

Specific DNA methylation markers in the diagnosis and prognosis of esophageal cancer.

ABSTRACT: The early diagnosis and accurate prognosis prediction of esophageal cancer is an essential part of improving survival. However, these diseases lack effective and specific markers. A total of 1,744 samples of HumanMethylation450 data were integrated to identify and validate specific methylation markers for esophageal adenocarcinoma (EAC) and esophageal squamous cell carcinoma (ESCC) as well as for Barrett's esophagus (BE) using The Cancer Genome Atlas and the Gene Expression Omnibus. The diagnostic and prognostic methylation classifiers were constructed by moderated t-statistics and the least absolute shrinkage and selection operator method. The diagnostic methylation classifier using 12 CpG sites was constructed in training set (377 samples) that could effectively discriminate samples of BE, EAC, and ESCC from normal tissue (AUC = 0.992), which achieved highly predictive ability in both internal (187 samples, AUC = 0.990) and external validation (184 samples, AUC = 0.978). The prognostic methylation classifier with 3 CpG and 2 CpG sites for EAC and ESCC respectively, could accurately estimate the prognosis of an individual patient and improved the predictive ability of the tumor node metastasis staging system. Overall, our study systematically analyzed large-scale methylation data and provided promising markers for the diagnosis and prognosis of esophageal cancer.

SUBMITTER: Li D

PROVIDER: S-EPMC6932928 | biostudies-literature | 2019 Dec

REPOSITORIES: biostudies-literature

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Specific DNA methylation markers in the diagnosis and prognosis of esophageal cancer.

Li DaPeng D Zhang Lei L Liu YuPeng Y Sun HongRu H Onwuka Justina Ucheojor JU Zhao ZhiGang Z Tian WenJing W Xu Jing J Zhao YaShuang Y Xu HongYu H

Aging 20191213 23

The early diagnosis and accurate prognosis prediction of esophageal cancer is an essential part of improving survival. However, these diseases lack effective and specific markers. A total of 1,744 samples of HumanMethylation450 data were integrated to identify and validate specific methylation markers for esophageal adenocarcinoma (EAC) and esophageal squamous cell carcinoma (ESCC) as well as for Barrett's esophagus (BE) using The Cancer Genome Atlas and the Gene Expression Omnibus. The diagnost ...[more]

PMID: 31834866

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Project description: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.

Dataset Information

Specific DNA methylation markers in the diagnosis and prognosis of esophageal cancer.

Publications

Specific DNA methylation markers in the diagnosis and prognosis of esophageal cancer.

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