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Sci Rep. 2016 Jul 1;6:28044. doi: 10.1038/srep28044.

Prognostic values of four Notch receptor mRNA expression in gastric cancer.

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Department of Surgical Oncology, Affiliated Hospital of Nanjing University of Traditional Chinese Medicine, Nanjing 210029, P.R. China.
Department of Surgery, Ruijin Hospital, Shanghai Jiaotong University, Shanghai Institute of Digestive Surgery, Shanghai 200025, P.R. China.
Biomedical Engineering, School of Engineering, Sun Yat-Sen University, Guangzhou 510120, P.R. China.
Department of Oncology, Hospital Affliated to Shaanxi University of Chinese Medicine, Xianyang 712000, P.R. China.
Department of General Surgery, Jiangsu Cancer Hospital, The Affiliated Cancer Hospital of Nanjing Medical University, Nanjing 210009, P.R. China.


Notch ligands and receptors are frequently deregulated in several human malignancies including gastric cancer. The activation of Notch signaling has been reported to contribute to gastric carcinogenesis and progression. However, the prognostic roles of individual Notch receptors in gastric cancer patients remain elusive. In the current study, we accessed the prognostic roles of four Notch receptors, Notch 1-4, in gastric cancer patients through "The Kaplan-Meier plotter" (KM plotter) database, in which updated gene expression data and survival information include a total of 876 gastric cancer patients. All four Notch receptors' high mRNA expression was found to be correlated to worsen overall survival (OS) for all gastric cancer patients followed for 20 years. We further accessed the prognostic roles of individual Notch receptors in different clinicopathological features using Lauren classification, pathological grades, clinical grades, HER2 status and different choices of treatments of gastric cancer patients. These results indicate that there are critical prognostic values of the four Notch receptors in gastric cancer. This information will be useful for better understanding of the heterogeneity and complexity in the molecular biology of gastric cancer and to develop tools to more accurately predict their prognosis.

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