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Molecular markers associated with perineural invasion in pancreatic ductal adenocarcinoma

Perineural invasion (PNI) is a prominent characteristic of pancreatic ductal adenocarcinoma (PDAC). PNI is associated with tumor progression, local recurrence and neuropathic pain; therefore, the identification of biomarkers associated with PNI may be beneficial in assessing the prognosis for patien...

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Autores principales: Zhang, Junfeng, Fu, Xueliang, Liu, Dejun, Yang, Minwei, Yang, Jianyu, Huo, Yanmiao, Liu, Wei, Hua, Rong, Sun, Yongwei, Wang, Jian
Formato: Online Artículo Texto
Lenguaje:English
Publicado: D.A. Spandidos 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7405440/
https://www.ncbi.nlm.nih.gov/pubmed/32774479
http://dx.doi.org/10.3892/ol.2020.11866
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author Zhang, Junfeng
Fu, Xueliang
Liu, Dejun
Yang, Minwei
Yang, Jianyu
Huo, Yanmiao
Liu, Wei
Hua, Rong
Sun, Yongwei
Wang, Jian
author_facet Zhang, Junfeng
Fu, Xueliang
Liu, Dejun
Yang, Minwei
Yang, Jianyu
Huo, Yanmiao
Liu, Wei
Hua, Rong
Sun, Yongwei
Wang, Jian
author_sort Zhang, Junfeng
collection PubMed
description Perineural invasion (PNI) is a prominent characteristic of pancreatic ductal adenocarcinoma (PDAC). PNI is associated with tumor progression, local recurrence and neuropathic pain; therefore, the identification of biomarkers associated with PNI may be beneficial in assessing the prognosis for patients with PDAC. Using an in vivo model of PNI, five pancreatic cancer cell lines (PANC-1, CFPAC-1, CAPAN-2, SW1990 and ASPC-1) were divided into two groups: High-(comprising PANC-1, CFPAC-1 and CAPAN-2) and low PNI (comprising SW1990 and ASPC-1). Differentially expressed genes (DEGs) between the two groups were identified using the GSE26088 dataset, and were regarded as PNI-associated genes. A total of 445 DEGs associated with PNI (fold change >1.5 or <0.66; P<0.05) were identified, which included 176 up- and 269 downregulated genes. Kyoto Encyclopedia of Genes and Genomes pathway enrichment analysis and function annotation were performed, and the NetworkAnalyst database was used for protein-protein interaction network analysis to identify hub genes. A total of 20 hub genes (gene degree, ≥6) were identified. PNI was associated with the function ‘chemokine signaling pathway’. The DEGs and hub genes were validated using the GSE102238 dataset and clinical tissue microarrays. Fibroblast growth factor 2 (FGF2) and catenin α 2 were demonstrated to be associated with PNI using the GSE102238 dataset. Furthermore, clinical tissue microarray analysis demonstrated that FGF2 was associated with PNI and poor prognosis. The present study provided a potential method for the reliable identification of PNI-associated genes, although further investigation is required to validate these results.
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spelling pubmed-74054402020-08-06 Molecular markers associated with perineural invasion in pancreatic ductal adenocarcinoma Zhang, Junfeng Fu, Xueliang Liu, Dejun Yang, Minwei Yang, Jianyu Huo, Yanmiao Liu, Wei Hua, Rong Sun, Yongwei Wang, Jian Oncol Lett Articles Perineural invasion (PNI) is a prominent characteristic of pancreatic ductal adenocarcinoma (PDAC). PNI is associated with tumor progression, local recurrence and neuropathic pain; therefore, the identification of biomarkers associated with PNI may be beneficial in assessing the prognosis for patients with PDAC. Using an in vivo model of PNI, five pancreatic cancer cell lines (PANC-1, CFPAC-1, CAPAN-2, SW1990 and ASPC-1) were divided into two groups: High-(comprising PANC-1, CFPAC-1 and CAPAN-2) and low PNI (comprising SW1990 and ASPC-1). Differentially expressed genes (DEGs) between the two groups were identified using the GSE26088 dataset, and were regarded as PNI-associated genes. A total of 445 DEGs associated with PNI (fold change >1.5 or <0.66; P<0.05) were identified, which included 176 up- and 269 downregulated genes. Kyoto Encyclopedia of Genes and Genomes pathway enrichment analysis and function annotation were performed, and the NetworkAnalyst database was used for protein-protein interaction network analysis to identify hub genes. A total of 20 hub genes (gene degree, ≥6) were identified. PNI was associated with the function ‘chemokine signaling pathway’. The DEGs and hub genes were validated using the GSE102238 dataset and clinical tissue microarrays. Fibroblast growth factor 2 (FGF2) and catenin α 2 were demonstrated to be associated with PNI using the GSE102238 dataset. Furthermore, clinical tissue microarray analysis demonstrated that FGF2 was associated with PNI and poor prognosis. The present study provided a potential method for the reliable identification of PNI-associated genes, although further investigation is required to validate these results. D.A. Spandidos 2020-10 2020-07-15 /pmc/articles/PMC7405440/ /pubmed/32774479 http://dx.doi.org/10.3892/ol.2020.11866 Text en Copyright: © Zhang et al. This is an open access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs License (https://creativecommons.org/licenses/by-nc-nd/4.0/) , which permits use and distribution in any medium, provided the original work is properly cited, the use is non-commercial and no modifications or adaptations are made.
spellingShingle Articles
Zhang, Junfeng
Fu, Xueliang
Liu, Dejun
Yang, Minwei
Yang, Jianyu
Huo, Yanmiao
Liu, Wei
Hua, Rong
Sun, Yongwei
Wang, Jian
Molecular markers associated with perineural invasion in pancreatic ductal adenocarcinoma
title Molecular markers associated with perineural invasion in pancreatic ductal adenocarcinoma
title_full Molecular markers associated with perineural invasion in pancreatic ductal adenocarcinoma
title_fullStr Molecular markers associated with perineural invasion in pancreatic ductal adenocarcinoma
title_full_unstemmed Molecular markers associated with perineural invasion in pancreatic ductal adenocarcinoma
title_short Molecular markers associated with perineural invasion in pancreatic ductal adenocarcinoma
title_sort molecular markers associated with perineural invasion in pancreatic ductal adenocarcinoma
topic Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7405440/
https://www.ncbi.nlm.nih.gov/pubmed/32774479
http://dx.doi.org/10.3892/ol.2020.11866
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