Volume 144, Issue 5 pp. 1160-1169
Tumor Markers and Signatures

A comprehensive methylation signature identifies lymph node metastasis in esophageal squamous cell carcinoma

Roshni Roy

Roshni Roy

Center for Gastrointestinal Research; Center for Translational Genomics and Oncology, Baylor Scott & White Research Institute and Charles A Sammons Cancer Center, Baylor University Medical Center, Dallas, Texas

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Raju Kandimalla

Raju Kandimalla

Center for Gastrointestinal Research; Center for Translational Genomics and Oncology, Baylor Scott & White Research Institute and Charles A Sammons Cancer Center, Baylor University Medical Center, Dallas, Texas

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Fuminori Sonohara

Fuminori Sonohara

Department of Gastroenterological Surgery, Nagoya University Graduate School of Medicine, Nagoya, Japan

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Masahiko Koike

Masahiko Koike

Department of Gastroenterological Surgery, Nagoya University Graduate School of Medicine, Nagoya, Japan

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Yasuhiro Kodera

Yasuhiro Kodera

Department of Gastroenterological Surgery, Nagoya University Graduate School of Medicine, Nagoya, Japan

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Naoki Takahashi

Naoki Takahashi

Department of Gastrointestinal Medical Oncology, National Cancer Center Hospital, Tokyo, Japan

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Yasuhide Yamada

Yasuhide Yamada

Department of Gastrointestinal Medical Oncology, National Cancer Center Hospital, Tokyo, Japan

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Ajay Goel

Corresponding Author

Ajay Goel

Center for Gastrointestinal Research; Center for Translational Genomics and Oncology, Baylor Scott & White Research Institute and Charles A Sammons Cancer Center, Baylor University Medical Center, Dallas, Texas

Correspondence to: Ajay Goel, Center for Gastrointestinal Research; Center for Translational Genomics and Oncology, Baylor Scott & White Research Institute, Baylor University Medical Center, 3410 Worth Street, Suite 610, Dallas, TX 75246, E-mail: [email protected]; Tel.: 214-820-2603, FAX: 214-818-9292Search for more papers by this author
First published: 14 July 2018
Citations: 10
Disclosure: Authors have no conflict of interest to disclose.

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.

Abstract

What's new?

Lymph node metastasis (LNM) is the single most significant determinant of disease recurrence and prognosis in esophageal squamous cell carcinoma (ESCC). However, there currently is a paucity of reliable molecular signatures that can identify LNM is ESCC patients. Here, based on genome-wide methylation profiling of ESCC patients, the authors developed a comprehensive methylation signature to distinguish LNM cases. The lymph node metastasis-associated signature, or LNAS, showed high specificity in independent training and validation cohorts. In the training cohort, high LNAS risk score was further associated with worse disease-free survival. The novel signature could be clinically valuable, helping predict ESCC prognosis.

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