A Molecular Prognostic Model Predicts Esophageal Squamous Cell Carcinoma Prognosis

Author:

Cao Hui-Hui,Zheng Chun-Peng,Wang Shao-Hong,Wu Jian-Yi,Shen Jin-Hui,Xu Xiu-E,Fu Jun-Hui,Wu Zhi-Yong,Li En-Min,Xu Li-Yan

Publisher

Public Library of Science (PLoS)

Subject

Multidisciplinary

Reference33 articles.

1. Oesophageal cancer statistics website. Available: http://www.cancerresearchuk.org/cancer-info/cancerstats/types/oesophagus/. Updated: 2014 April 17.

2. A novel tumor suppressor gene ECRG4 interacts directly with TMPRSS11A (ECRG1) to inhibit cancer cell growth in esophageal carcinoma;LW Li;BMC Cancer,2011

3. A 4-gene signature predicts survival of patients with resected adenocarcinoma of the esophagus, junction, and gastric cardia;CJ Peters;Gastroenterology,2010

4. Revised guidelines signal that gene expression profiles are coming of age;S Benowitz;J Natl Cancer Inst,2008

5. Biomarkers in cancer staging, prognosis and treatment selection;JA Ludwig;Nat Rev Cancer,2005

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