A comprehensive methylation signature identifies lymph node metastasis in esophageal squamous cell carcinoma
Year: 2018
Type: article
Study design: Observational Study
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.
Source: International Journal of Cancer
DOI: 10.1002/ijc.31755
Language: English
Subfield: Surgery
Field: Medicine
Domain: Health Sciences
Open Access status: bronze
Awards: G1029023771, G251590960, G312429407, G3173870227, Development of microRNA Biomarkers For Noninvasive Detection of Colorectal Cancer, G3411000325, G3695502894, G4144402113, G4300560175, G6681643532, G7049232908, Next Generation Sequencing-Based Approaches for the Development of Epigenetic Biomarkers for Predicting Therapeutic Outcome in Patients With Colorectal Cancer, Aspirin and Cancer Prevention in Lynch Syndrome: From Cell to Population Data, Methylation Biomarker Development for Noninvasive Detection of Colorectal Cancer, G9000004785, G9000016337, G9000169660, G9000182627, G9000208368, G9000226584
OpenAlex ID: W2884229159
