Cargando…

A meta-analysis of Prognostic factor of Pancreatic neuroendocrine neoplasms

Pancreatic neuroendocrine neoplasms (pNENs) are a group of clinically rare and heterogeneous diseases of the pancreas. However, the prognostic factors for this disease in patients still remain controversial. The purpose of our study is to evaluate the predictive roles of those prognostic factors for...

Descripción completa

Detalles Bibliográficos
Autores principales: Gao, Yong, Gao, Hao, Wang, Guangfu, Yin, Lingdi, Xu, Wenbin, Peng, Yunpeng, Wu, Junli, Jiang, Kuirong, Miao, Yi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5940798/
https://www.ncbi.nlm.nih.gov/pubmed/29739948
http://dx.doi.org/10.1038/s41598-018-24072-0
_version_ 1783321158385401856
author Gao, Yong
Gao, Hao
Wang, Guangfu
Yin, Lingdi
Xu, Wenbin
Peng, Yunpeng
Wu, Junli
Jiang, Kuirong
Miao, Yi
author_facet Gao, Yong
Gao, Hao
Wang, Guangfu
Yin, Lingdi
Xu, Wenbin
Peng, Yunpeng
Wu, Junli
Jiang, Kuirong
Miao, Yi
author_sort Gao, Yong
collection PubMed
description Pancreatic neuroendocrine neoplasms (pNENs) are a group of clinically rare and heterogeneous diseases of the pancreas. However, the prognostic factors for this disease in patients still remain controversial. The purpose of our study is to evaluate the predictive roles of those prognostic factors for pNENs. All related articles published until Sep 17, 2017 were identified via PubMed, EMBASE, Web of Science, Ovid and the Cochrane Library. Studies that examined the prognostic factors of pNENs were enrolled. 17 articles (2822 patients) were finally included in this study. The pooled data suggested that patients with positive surgical resection margin and lymph node, advanced G stage and TMN stage, organ metastasis, vascular invasion and the necrosis of specimens had a decreased overall survival for pNENs. Similarly, patients with functional tumors might have a poor prognosis. However, age, gender, surgical type and size of tumor could not be regarded as prognostic factors for pNENs. Our analytic data demonstrated that surgical resection margin, G stage, TMN stage, lymph node, metastasis, vascular invasion and the necrosis could be prognostic factors for pNENs. Our study may assist doctors to screen patients with different prognosis more efficiently during follow-up and select appropriate treatment measures.
format Online
Article
Text
id pubmed-5940798
institution National Center for Biotechnology Information
language English
publishDate 2018
publisher Nature Publishing Group UK
record_format MEDLINE/PubMed
spelling pubmed-59407982018-05-11 A meta-analysis of Prognostic factor of Pancreatic neuroendocrine neoplasms Gao, Yong Gao, Hao Wang, Guangfu Yin, Lingdi Xu, Wenbin Peng, Yunpeng Wu, Junli Jiang, Kuirong Miao, Yi Sci Rep Article Pancreatic neuroendocrine neoplasms (pNENs) are a group of clinically rare and heterogeneous diseases of the pancreas. However, the prognostic factors for this disease in patients still remain controversial. The purpose of our study is to evaluate the predictive roles of those prognostic factors for pNENs. All related articles published until Sep 17, 2017 were identified via PubMed, EMBASE, Web of Science, Ovid and the Cochrane Library. Studies that examined the prognostic factors of pNENs were enrolled. 17 articles (2822 patients) were finally included in this study. The pooled data suggested that patients with positive surgical resection margin and lymph node, advanced G stage and TMN stage, organ metastasis, vascular invasion and the necrosis of specimens had a decreased overall survival for pNENs. Similarly, patients with functional tumors might have a poor prognosis. However, age, gender, surgical type and size of tumor could not be regarded as prognostic factors for pNENs. Our analytic data demonstrated that surgical resection margin, G stage, TMN stage, lymph node, metastasis, vascular invasion and the necrosis could be prognostic factors for pNENs. Our study may assist doctors to screen patients with different prognosis more efficiently during follow-up and select appropriate treatment measures. Nature Publishing Group UK 2018-05-08 /pmc/articles/PMC5940798/ /pubmed/29739948 http://dx.doi.org/10.1038/s41598-018-24072-0 Text en © The Author(s) 2018 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Article
Gao, Yong
Gao, Hao
Wang, Guangfu
Yin, Lingdi
Xu, Wenbin
Peng, Yunpeng
Wu, Junli
Jiang, Kuirong
Miao, Yi
A meta-analysis of Prognostic factor of Pancreatic neuroendocrine neoplasms
title A meta-analysis of Prognostic factor of Pancreatic neuroendocrine neoplasms
title_full A meta-analysis of Prognostic factor of Pancreatic neuroendocrine neoplasms
title_fullStr A meta-analysis of Prognostic factor of Pancreatic neuroendocrine neoplasms
title_full_unstemmed A meta-analysis of Prognostic factor of Pancreatic neuroendocrine neoplasms
title_short A meta-analysis of Prognostic factor of Pancreatic neuroendocrine neoplasms
title_sort meta-analysis of prognostic factor of pancreatic neuroendocrine neoplasms
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5940798/
https://www.ncbi.nlm.nih.gov/pubmed/29739948
http://dx.doi.org/10.1038/s41598-018-24072-0
work_keys_str_mv AT gaoyong ametaanalysisofprognosticfactorofpancreaticneuroendocrineneoplasms
AT gaohao ametaanalysisofprognosticfactorofpancreaticneuroendocrineneoplasms
AT wangguangfu ametaanalysisofprognosticfactorofpancreaticneuroendocrineneoplasms
AT yinlingdi ametaanalysisofprognosticfactorofpancreaticneuroendocrineneoplasms
AT xuwenbin ametaanalysisofprognosticfactorofpancreaticneuroendocrineneoplasms
AT pengyunpeng ametaanalysisofprognosticfactorofpancreaticneuroendocrineneoplasms
AT wujunli ametaanalysisofprognosticfactorofpancreaticneuroendocrineneoplasms
AT jiangkuirong ametaanalysisofprognosticfactorofpancreaticneuroendocrineneoplasms
AT miaoyi ametaanalysisofprognosticfactorofpancreaticneuroendocrineneoplasms
AT gaoyong metaanalysisofprognosticfactorofpancreaticneuroendocrineneoplasms
AT gaohao metaanalysisofprognosticfactorofpancreaticneuroendocrineneoplasms
AT wangguangfu metaanalysisofprognosticfactorofpancreaticneuroendocrineneoplasms
AT yinlingdi metaanalysisofprognosticfactorofpancreaticneuroendocrineneoplasms
AT xuwenbin metaanalysisofprognosticfactorofpancreaticneuroendocrineneoplasms
AT pengyunpeng metaanalysisofprognosticfactorofpancreaticneuroendocrineneoplasms
AT wujunli metaanalysisofprognosticfactorofpancreaticneuroendocrineneoplasms
AT jiangkuirong metaanalysisofprognosticfactorofpancreaticneuroendocrineneoplasms
AT miaoyi metaanalysisofprognosticfactorofpancreaticneuroendocrineneoplasms