Jianbin Ye1, Junjie Wen1, Yunshan Ning2, Yan Li3. 1. School of Laboratory Medicine and Biotechnology, Southern Medical University, Guangzhou, 510515, China. 2. School of Laboratory Medicine and Biotechnology, Southern Medical University, Guangzhou, 510515, China. Electronic address: nys@smu.edu.cn. 3. School of Laboratory Medicine and Biotechnology, Southern Medical University, Guangzhou, 510515, China. Electronic address: liyan_nys@hotmail.com.
Abstract
BACKGROUND: At present, pancreatic ductal adenocarcinoma (PDAC) is a fetal disease lack of effective prognostic and therapeutic methods resulting in high mortality. The Notch signaling has been demonstrated being up- or down-regulated in many cancers, but the effects in pancreatic ductal adenocarcinoma are still controversial. Moreover, the available cases in an individual study are of small samples. Therefore, it is essential to define the effect of Notch signaling in pancreatic ductal adenocarcinoma with larger samples. METHODS: Conducted from 6 eligible studies and 463 pancreatic ductal adenocarcinoma patients, this was the first meta-analysis to analyze the correlation between the Notch signal pathway and pancreatic ductal adenocarcinoma. All data were sourced from The National Center for Biotechnology Information, Web of Science and Cochrane. The articles which matched the inclusion criteria were included. All included data were analyzed and performed by Review Manager 5.3. RESULTS: The results indicated that high expression of Notch signaling proteins was associated with poor overall survival of pancreatic ductal adenocarcinoma patients (pooled hazard ratio>2.00; P < 0.001). Moreover, poor survival was related to high expression of Notch3 (pooled hazard ratio: 2.05; confidence interval: 1.49-2.82; P < 0.001) and DLL4 (pooled hazard ratio: 2.13; confidence interval: 1.37-3.32; P < 0.001). CONCLUSIONS: This meta-analysis supports that Notch signaling proteins may be available as prognostic factors for pancreatic ductal adenocarcinoma progression and patient survival. Higher expression of Notch signaling proteins indicated poor survival of pancreatic ductal adenocarcinoma patients. Targeting Notch signaling components, especially Notch3 protein, would be beneficial for therapies.
BACKGROUND: At present, pancreatic ductal adenocarcinoma (PDAC) is a fetal disease lack of effective prognostic and therapeutic methods resulting in high mortality. The Notch signaling has been demonstrated being up- or down-regulated in many cancers, but the effects in pancreatic ductal adenocarcinoma are still controversial. Moreover, the available cases in an individual study are of small samples. Therefore, it is essential to define the effect of Notch signaling in pancreatic ductal adenocarcinoma with larger samples. METHODS: Conducted from 6 eligible studies and 463 pancreatic ductal adenocarcinomapatients, this was the first meta-analysis to analyze the correlation between the Notch signal pathway and pancreatic ductal adenocarcinoma. All data were sourced from The National Center for Biotechnology Information, Web of Science and Cochrane. The articles which matched the inclusion criteria were included. All included data were analyzed and performed by Review Manager 5.3. RESULTS: The results indicated that high expression of Notch signaling proteins was associated with poor overall survival of pancreatic ductal adenocarcinomapatients (pooled hazard ratio>2.00; P < 0.001). Moreover, poor survival was related to high expression of Notch3 (pooled hazard ratio: 2.05; confidence interval: 1.49-2.82; P < 0.001) and DLL4 (pooled hazard ratio: 2.13; confidence interval: 1.37-3.32; P < 0.001). CONCLUSIONS: This meta-analysis supports that Notch signaling proteins may be available as prognostic factors for pancreatic ductal adenocarcinoma progression and patient survival. Higher expression of Notch signaling proteins indicated poor survival of pancreatic ductal adenocarcinomapatients. Targeting Notch signaling components, especially Notch3 protein, would be beneficial for therapies.
Authors: Yusong Liu; Tongxin Wang; Ben Duggan; Michael Sharpnack; Kun Huang; Jie Zhang; Xiufen Ye; Travis S Johnson Journal: Brief Bioinform Date: 2022-05-13 Impact factor: 13.994
Authors: Abhinav V Reddy; Colin S Hill; Shuchi Sehgal; Ding Ding; Amy Hacker-Prietz; Jin He; Lei Zheng; Joseph M Herman; Jeffrey Meyer; Amol K Narang Journal: Radiat Oncol J Date: 2021-12-17
Authors: Alexandru Al Ecovoiu; Attila Cristian Ratiu; Miruna Mihaela Micheu; Mariana Carmen Chifiriuc Journal: Int J Mol Sci Date: 2022-02-27 Impact factor: 5.923