MASAN: a novel staging system for prognosis of patients with oesophageal squamous cell carcinoma

MASAN: a novel staging system for prognosis of patients with oesophageal squamous cell carcinoma www.nature.com/bjc ARTICLE Molecular Diagnostics MASAN: a novel staging system for prognosis of patients with oesophageal squamous cell carcinoma 1,2 1,3 4 1,5 6 1,3 1,5 6 6 Wei Liu , Jian-zhong He , Shao-hong Wang , De-kai Liu , Xue-feng Bai , Xiu-e Xu , Jian-yi Wu , Yong Jiang , Chun-quan Li , 7 1,5 1,3 Long-qi Chen , En-min Li and Li-yan Xu BACKGROUND: Oesophageal squamous cell carcinoma (ESCC) is one of the most malignant cancers worldwide. Treatment of ESCC is in progress through accurate staging and risk assessment of patients. The emergence of potential molecular markers inspired us to construct novel staging systems with better accuracy by incorporating molecular markers. METHODS: We measured H scores of 23 protein markers and analysed eight clinical factors of 77 ESCC patients in a training set, from which we identified an optimal MASAN (MYC, ANO1, SLC52A3, Age and N-stage) signature. We constructed MASAN models using Cox PH models, and created MASAN-staging systems based on k-means clustering and minimum-distance classifier. MASAN was validated in a test set (n = 77) and an independent validation set (n = 150). RESULTS: MASAN possessed high predictive accuracies and stratified ESCC patients into three prognostic http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png British Journal of Cancer Springer Journals

MASAN: a novel staging system for prognosis of patients with oesophageal squamous cell carcinoma

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Publisher
Springer Journals
Copyright
Copyright © 2018 by Cancer Research UK
Subject
Biomedicine; Biomedicine, general; Cancer Research; Epidemiology; Molecular Medicine; Oncology; Drug Resistance
ISSN
0007-0920
eISSN
1532-1827
D.O.I.
10.1038/s41416-018-0094-x
Publisher site
See Article on Publisher Site

Abstract

www.nature.com/bjc ARTICLE Molecular Diagnostics MASAN: a novel staging system for prognosis of patients with oesophageal squamous cell carcinoma 1,2 1,3 4 1,5 6 1,3 1,5 6 6 Wei Liu , Jian-zhong He , Shao-hong Wang , De-kai Liu , Xue-feng Bai , Xiu-e Xu , Jian-yi Wu , Yong Jiang , Chun-quan Li , 7 1,5 1,3 Long-qi Chen , En-min Li and Li-yan Xu BACKGROUND: Oesophageal squamous cell carcinoma (ESCC) is one of the most malignant cancers worldwide. Treatment of ESCC is in progress through accurate staging and risk assessment of patients. The emergence of potential molecular markers inspired us to construct novel staging systems with better accuracy by incorporating molecular markers. METHODS: We measured H scores of 23 protein markers and analysed eight clinical factors of 77 ESCC patients in a training set, from which we identified an optimal MASAN (MYC, ANO1, SLC52A3, Age and N-stage) signature. We constructed MASAN models using Cox PH models, and created MASAN-staging systems based on k-means clustering and minimum-distance classifier. MASAN was validated in a test set (n = 77) and an independent validation set (n = 150). RESULTS: MASAN possessed high predictive accuracies and stratified ESCC patients into three prognostic

Journal

British Journal of CancerSpringer Journals

Published: May 16, 2018

References

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