Cancer Medicine (Jul 2019)
A genetic variant in PIK3R1 is associated with pancreatic cancer survival in the Chinese population
- Ying Zhu,
- Juntao Ke,
- Yajie Gong,
- Yang Yang,
- Xiating Peng,
- Jianbo Tian,
- Danyi Zou,
- Nan Yang,
- Xiaoyang Wang,
- Shufang Mei,
- Meilin Rao,
- Pingting Ying,
- Yao Deng,
- Haoxue Wang,
- Hongli Zhang,
- Bin Li,
- Hao Wan,
- Yue Li,
- Siyuan Niu,
- Yimin Cai,
- Ming Zhang,
- Zequn Lu,
- Rong Zhong,
- Xiaoping Miao,
- Jiang Chang
Affiliations
- Ying Zhu
- Department of Epidemiology and Biostatistics, Key Laboratory for Environment and Health, School of Public Health Tongji Medical College, Huazhong University of Sciences and Technology Wuhan China
- Juntao Ke
- Department of Epidemiology and Biostatistics, Key Laboratory for Environment and Health, School of Public Health Tongji Medical College, Huazhong University of Sciences and Technology Wuhan China
- Yajie Gong
- Department of Epidemiology and Biostatistics, Key Laboratory for Environment and Health, School of Public Health Tongji Medical College, Huazhong University of Sciences and Technology Wuhan China
- Yang Yang
- Department of Epidemiology and Biostatistics, Key Laboratory for Environment and Health, School of Public Health Tongji Medical College, Huazhong University of Sciences and Technology Wuhan China
- Xiating Peng
- Department of Epidemiology and Biostatistics, Key Laboratory for Environment and Health, School of Public Health Tongji Medical College, Huazhong University of Sciences and Technology Wuhan China
- Jianbo Tian
- Department of Epidemiology and Biostatistics, Key Laboratory for Environment and Health, School of Public Health Tongji Medical College, Huazhong University of Sciences and Technology Wuhan China
- Danyi Zou
- Department of Epidemiology and Biostatistics, Key Laboratory for Environment and Health, School of Public Health Tongji Medical College, Huazhong University of Sciences and Technology Wuhan China
- Nan Yang
- Department of Epidemiology and Biostatistics, Key Laboratory for Environment and Health, School of Public Health Tongji Medical College, Huazhong University of Sciences and Technology Wuhan China
- Xiaoyang Wang
- Department of Epidemiology and Biostatistics, Key Laboratory for Environment and Health, School of Public Health Tongji Medical College, Huazhong University of Sciences and Technology Wuhan China
- Shufang Mei
- Department of Epidemiology and Biostatistics, Key Laboratory for Environment and Health, School of Public Health Tongji Medical College, Huazhong University of Sciences and Technology Wuhan China
- Meilin Rao
- Department of Epidemiology and Biostatistics, Key Laboratory for Environment and Health, School of Public Health Tongji Medical College, Huazhong University of Sciences and Technology Wuhan China
- Pingting Ying
- Department of Epidemiology and Biostatistics, Key Laboratory for Environment and Health, School of Public Health Tongji Medical College, Huazhong University of Sciences and Technology Wuhan China
- Yao Deng
- Department of Epidemiology and Biostatistics, Key Laboratory for Environment and Health, School of Public Health Tongji Medical College, Huazhong University of Sciences and Technology Wuhan China
- Haoxue Wang
- Department of Epidemiology and Biostatistics, Key Laboratory for Environment and Health, School of Public Health Tongji Medical College, Huazhong University of Sciences and Technology Wuhan China
- Hongli Zhang
- Department of Epidemiology and Biostatistics, Key Laboratory for Environment and Health, School of Public Health Tongji Medical College, Huazhong University of Sciences and Technology Wuhan China
- Bin Li
- Department of Epidemiology and Biostatistics, Key Laboratory for Environment and Health, School of Public Health Tongji Medical College, Huazhong University of Sciences and Technology Wuhan China
- Hao Wan
- Department of Epidemiology and Biostatistics, Key Laboratory for Environment and Health, School of Public Health Tongji Medical College, Huazhong University of Sciences and Technology Wuhan China
- Yue Li
- Department of Epidemiology and Biostatistics, Key Laboratory for Environment and Health, School of Public Health Tongji Medical College, Huazhong University of Sciences and Technology Wuhan China
- Siyuan Niu
- Department of Epidemiology and Biostatistics, Key Laboratory for Environment and Health, School of Public Health Tongji Medical College, Huazhong University of Sciences and Technology Wuhan China
- Yimin Cai
- Department of Epidemiology and Biostatistics, Key Laboratory for Environment and Health, School of Public Health Tongji Medical College, Huazhong University of Sciences and Technology Wuhan China
- Ming Zhang
- Department of Epidemiology and Biostatistics, Key Laboratory for Environment and Health, School of Public Health Tongji Medical College, Huazhong University of Sciences and Technology Wuhan China
- Zequn Lu
- Department of Epidemiology and Biostatistics, Key Laboratory for Environment and Health, School of Public Health Tongji Medical College, Huazhong University of Sciences and Technology Wuhan China
- Rong Zhong
- Department of Epidemiology and Biostatistics, Key Laboratory for Environment and Health, School of Public Health Tongji Medical College, Huazhong University of Sciences and Technology Wuhan China
- Xiaoping Miao
- Department of Epidemiology and Biostatistics, Key Laboratory for Environment and Health, School of Public Health Tongji Medical College, Huazhong University of Sciences and Technology Wuhan China
- Jiang Chang
- Department of Epidemiology and Biostatistics, Key Laboratory for Environment and Health, School of Public Health Tongji Medical College, Huazhong University of Sciences and Technology Wuhan China
- DOI
- https://doi.org/10.1002/cam4.2228
- Journal volume & issue
-
Vol. 8,
no. 7
pp. 3575 – 3582
Abstract
Abstract Pancreatic cancer is one of the deadliest malignancies with few early detection tests or effective therapies. PI3K‐AKT signaling is recognized to modulate cancer progression. We previously identified that a genetic variant in PKN1 increased pancreatic cancer risk through the PKN1/FAK/PI3K/AKT pathway. In order to investigate the associations between genetic variations in that pathway and pancreatic cancer prognosis, we conducted a two‐stage survival analysis in a total of 547 Chinese pancreatic cancer patients. Consequently, a variant, rs13167294 A>C in PIK3R1, was significantly associated with poor survival in both stages and with hazard ratio being 1.32 (95% CI = 1.13‐1.56, P = 0.0007) in the combined analysis. Function annotation and prediction suggested that genetic variants in this locus might affect overall survival of pancreatic cancer patients by regulating PIK3R1 expression.
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