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High expression of GFAT1 predicts poor prognosis in patients with pancreatic cancer

Pancreatic cancer is one of the most lethal of all types of cancer, with the 5-year survival rate ranging only at 6–7%. The aberrant glucose metabolism is one of the hallmarks of cancer cells, and as a branch of glucose metabolism, hexosamine biosynthesis pathway (HBP) has been reported to play a cr...

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Autores principales: Yang, Caiting, Peng, Peike, Li, Lili, Shao, Miaomiao, Zhao, Junjie, Wang, Lan, Duan, Fangfang, Song, Shushu, Wu, Hao, Zhang, Jie, Zhao, Ran, Jia, Dongwei, Zhang, Mingming, Wu, Weicheng, Li, Can, Rong, Yefei, Zhang, Lei, Ruan, Yuanyuan, Gu, Jianxin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5172351/
https://www.ncbi.nlm.nih.gov/pubmed/27996048
http://dx.doi.org/10.1038/srep39044
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author Yang, Caiting
Peng, Peike
Li, Lili
Shao, Miaomiao
Zhao, Junjie
Wang, Lan
Duan, Fangfang
Song, Shushu
Wu, Hao
Zhang, Jie
Zhao, Ran
Jia, Dongwei
Zhang, Mingming
Wu, Weicheng
Li, Can
Rong, Yefei
Zhang, Lei
Ruan, Yuanyuan
Gu, Jianxin
author_facet Yang, Caiting
Peng, Peike
Li, Lili
Shao, Miaomiao
Zhao, Junjie
Wang, Lan
Duan, Fangfang
Song, Shushu
Wu, Hao
Zhang, Jie
Zhao, Ran
Jia, Dongwei
Zhang, Mingming
Wu, Weicheng
Li, Can
Rong, Yefei
Zhang, Lei
Ruan, Yuanyuan
Gu, Jianxin
author_sort Yang, Caiting
collection PubMed
description Pancreatic cancer is one of the most lethal of all types of cancer, with the 5-year survival rate ranging only at 6–7%. The aberrant glucose metabolism is one of the hallmarks of cancer cells, and as a branch of glucose metabolism, hexosamine biosynthesis pathway (HBP) has been reported to play a critical role in the insulin resistance and progression of cancer. Glutamine:fructose-6-phosphate amidotransferase (GFAT1) is the rate-limiting enzyme of the HBP; nevertheless, the prognostic value of GFAT1 in pancreatic cancer remains elusive. In this study, we found that the expression of GFAT1 was increased in pancreatic cancer samples compared to peri-tumor tissues. High expression of GFAT1 was positively associated with lymph node metastasis, pTNM stage and shorter overall survival (OS) in pancreatic cancer patients. GFAT1 was identified as an independent prognosticator for OS, and combining GFAT1 expression with pTNM stage generated a predictive nomogram, which showed better prognostic efficiency for OS in patients with pancreatic cancer. In summary, high GFAT1 expression is identified as an independent predictor of adverse clinical outcome in our small number of pancreatic cancer patients, and the practical prognostic nomogram model may help clinicians in decision making and the design of clinical studies.
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spelling pubmed-51723512016-12-28 High expression of GFAT1 predicts poor prognosis in patients with pancreatic cancer Yang, Caiting Peng, Peike Li, Lili Shao, Miaomiao Zhao, Junjie Wang, Lan Duan, Fangfang Song, Shushu Wu, Hao Zhang, Jie Zhao, Ran Jia, Dongwei Zhang, Mingming Wu, Weicheng Li, Can Rong, Yefei Zhang, Lei Ruan, Yuanyuan Gu, Jianxin Sci Rep Article Pancreatic cancer is one of the most lethal of all types of cancer, with the 5-year survival rate ranging only at 6–7%. The aberrant glucose metabolism is one of the hallmarks of cancer cells, and as a branch of glucose metabolism, hexosamine biosynthesis pathway (HBP) has been reported to play a critical role in the insulin resistance and progression of cancer. Glutamine:fructose-6-phosphate amidotransferase (GFAT1) is the rate-limiting enzyme of the HBP; nevertheless, the prognostic value of GFAT1 in pancreatic cancer remains elusive. In this study, we found that the expression of GFAT1 was increased in pancreatic cancer samples compared to peri-tumor tissues. High expression of GFAT1 was positively associated with lymph node metastasis, pTNM stage and shorter overall survival (OS) in pancreatic cancer patients. GFAT1 was identified as an independent prognosticator for OS, and combining GFAT1 expression with pTNM stage generated a predictive nomogram, which showed better prognostic efficiency for OS in patients with pancreatic cancer. In summary, high GFAT1 expression is identified as an independent predictor of adverse clinical outcome in our small number of pancreatic cancer patients, and the practical prognostic nomogram model may help clinicians in decision making and the design of clinical studies. Nature Publishing Group 2016-12-20 /pmc/articles/PMC5172351/ /pubmed/27996048 http://dx.doi.org/10.1038/srep39044 Text en Copyright © 2016, The Author(s) http://creativecommons.org/licenses/by/4.0/ This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/
spellingShingle Article
Yang, Caiting
Peng, Peike
Li, Lili
Shao, Miaomiao
Zhao, Junjie
Wang, Lan
Duan, Fangfang
Song, Shushu
Wu, Hao
Zhang, Jie
Zhao, Ran
Jia, Dongwei
Zhang, Mingming
Wu, Weicheng
Li, Can
Rong, Yefei
Zhang, Lei
Ruan, Yuanyuan
Gu, Jianxin
High expression of GFAT1 predicts poor prognosis in patients with pancreatic cancer
title High expression of GFAT1 predicts poor prognosis in patients with pancreatic cancer
title_full High expression of GFAT1 predicts poor prognosis in patients with pancreatic cancer
title_fullStr High expression of GFAT1 predicts poor prognosis in patients with pancreatic cancer
title_full_unstemmed High expression of GFAT1 predicts poor prognosis in patients with pancreatic cancer
title_short High expression of GFAT1 predicts poor prognosis in patients with pancreatic cancer
title_sort high expression of gfat1 predicts poor prognosis in patients with pancreatic cancer
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5172351/
https://www.ncbi.nlm.nih.gov/pubmed/27996048
http://dx.doi.org/10.1038/srep39044
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