Integrated analysis of tumor differentiation genes in pancreatic adenocarcinoma.

Tumor differentiation is an important process in the development of cancer. It is valuable to identify key differentiation related genes in the prognosis and therapy of pancreatic adenocarcinoma.The mRNA expression data were downloaded from the Cancer Genome Atlas database. Then, differentially expr...

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Main Authors: Ting Xi, Guizhi Zhang
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2018-01-01
Series:PLoS ONE
Online Access:http://europepmc.org/articles/PMC5875763?pdf=render
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spelling doaj-85527dd54cd447478876272f4e3658212020-11-25T01:07:20ZengPublic Library of Science (PLoS)PLoS ONE1932-62032018-01-01133e019342710.1371/journal.pone.0193427Integrated analysis of tumor differentiation genes in pancreatic adenocarcinoma.Ting XiGuizhi ZhangTumor differentiation is an important process in the development of cancer. It is valuable to identify key differentiation related genes in the prognosis and therapy of pancreatic adenocarcinoma.The mRNA expression data were downloaded from the Cancer Genome Atlas database. Then, differentially expressed tumor differentiation related genes were identified. Additionally, Gene Ontology functional categories and Kyoto Encyclopedia of Genes and Genomes biochemical pathway was used to explore the function. In addition, receiver operating characteristic and survival analysis were carried out to assess the diagnosis and prognosis value. Finally, the electronic validation of selected tumor differentiation related genes was performed.A total of 932 genes were identified. Among which, 8 genes including JUB, ERLIN1, HMGA2, FAM110B, EGFR, MCM2, TCTA and SSTR1 were differentially expressed in all different tumor differentiation grades. Functional analysis revealed those genes between highly differentiated and other differentiation were remarkably enriched in pancreatic adenocarcinoma and cell cycle pathway. Finally, ERLIN1, HMGA2, FAM110B, EGFR, MCM2, BCL2L1, E2F1 and RAC1 were associated with the survival time of pancreatic adenocarcinoma patient. Among these genes, JUB, ERLIN1, FAM110B, MCM2 and BCL2L1 also had a diagnosis value for pancreatic adenocarcinoma. Additionally, the expression trend of JUB, HMGA2 and MCM2 was increased along with the tumor differentiation grades. And the expression trend of FAM110B was decreased along with the tumor differentiation grades. The electronic validation result was consistent with the bioinformatics analysis.12 tumor differentiation related genes including JUB, ERLIN1, HMGA2, FAM110B, EGFR, MCM2, TCTA, SSTR1, BCL2L1, E2F1, RAC1 and STAT1 played crucial roles in the differentiation of pancreatic adenocarcinoma.http://europepmc.org/articles/PMC5875763?pdf=render
collection DOAJ
language English
format Article
sources DOAJ
author Ting Xi
Guizhi Zhang
spellingShingle Ting Xi
Guizhi Zhang
Integrated analysis of tumor differentiation genes in pancreatic adenocarcinoma.
PLoS ONE
author_facet Ting Xi
Guizhi Zhang
author_sort Ting Xi
title Integrated analysis of tumor differentiation genes in pancreatic adenocarcinoma.
title_short Integrated analysis of tumor differentiation genes in pancreatic adenocarcinoma.
title_full Integrated analysis of tumor differentiation genes in pancreatic adenocarcinoma.
title_fullStr Integrated analysis of tumor differentiation genes in pancreatic adenocarcinoma.
title_full_unstemmed Integrated analysis of tumor differentiation genes in pancreatic adenocarcinoma.
title_sort integrated analysis of tumor differentiation genes in pancreatic adenocarcinoma.
publisher Public Library of Science (PLoS)
series PLoS ONE
issn 1932-6203
publishDate 2018-01-01
description Tumor differentiation is an important process in the development of cancer. It is valuable to identify key differentiation related genes in the prognosis and therapy of pancreatic adenocarcinoma.The mRNA expression data were downloaded from the Cancer Genome Atlas database. Then, differentially expressed tumor differentiation related genes were identified. Additionally, Gene Ontology functional categories and Kyoto Encyclopedia of Genes and Genomes biochemical pathway was used to explore the function. In addition, receiver operating characteristic and survival analysis were carried out to assess the diagnosis and prognosis value. Finally, the electronic validation of selected tumor differentiation related genes was performed.A total of 932 genes were identified. Among which, 8 genes including JUB, ERLIN1, HMGA2, FAM110B, EGFR, MCM2, TCTA and SSTR1 were differentially expressed in all different tumor differentiation grades. Functional analysis revealed those genes between highly differentiated and other differentiation were remarkably enriched in pancreatic adenocarcinoma and cell cycle pathway. Finally, ERLIN1, HMGA2, FAM110B, EGFR, MCM2, BCL2L1, E2F1 and RAC1 were associated with the survival time of pancreatic adenocarcinoma patient. Among these genes, JUB, ERLIN1, FAM110B, MCM2 and BCL2L1 also had a diagnosis value for pancreatic adenocarcinoma. Additionally, the expression trend of JUB, HMGA2 and MCM2 was increased along with the tumor differentiation grades. And the expression trend of FAM110B was decreased along with the tumor differentiation grades. The electronic validation result was consistent with the bioinformatics analysis.12 tumor differentiation related genes including JUB, ERLIN1, HMGA2, FAM110B, EGFR, MCM2, TCTA, SSTR1, BCL2L1, E2F1, RAC1 and STAT1 played crucial roles in the differentiation of pancreatic adenocarcinoma.
url http://europepmc.org/articles/PMC5875763?pdf=render
work_keys_str_mv AT tingxi integratedanalysisoftumordifferentiationgenesinpancreaticadenocarcinoma
AT guizhizhang integratedanalysisoftumordifferentiationgenesinpancreaticadenocarcinoma
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