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胰腺腺癌中肿瘤分化基因的综合分析。

Integrated analysis of tumor differentiation genes in pancreatic adenocarcinoma.

机构信息

Department of Gastroenterology, First People's Hospital of Liaocheng, Liaocheng, Shandong Province, China.

Department of Gastroenterology, Second People's Hospital of Liaocheng, Liaocheng, Shandong Province, China.

出版信息

PLoS One. 2018 Mar 29;13(3):e0193427. doi: 10.1371/journal.pone.0193427. eCollection 2018.

DOI:10.1371/journal.pone.0193427
PMID:29596435
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC5875763/
Abstract

BACKGROUND

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.

METHODS

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.

RESULTS

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.

CONCLUSIONS

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.

摘要

背景

肿瘤分化是癌症发展过程中的一个重要过程。在胰腺腺癌的预后和治疗中,鉴定关键的分化相关基因具有重要价值。

方法

从癌症基因组图谱数据库下载 mRNA 表达数据。然后,确定差异表达的肿瘤分化相关基因。此外,使用基因本体功能类别和京都基因与基因组百科全书生化途径来探索其功能。此外,进行接收者操作特征和生存分析,以评估诊断和预后价值。最后,对选定的肿瘤分化相关基因进行电子验证。

结果

共鉴定出 932 个基因。其中,在所有不同的肿瘤分化等级中,JUB、ERLIN1、HMGA2、FAM110B、EGFR、MCM2、TCTA 和 SSTR1 等 8 个基因均呈差异表达。功能分析显示,这些基因在高度分化和其他分化之间,在胰腺腺癌和细胞周期途径中显著富集。最后,ERLIN1、HMGA2、FAM110B、EGFR、MCM2、BCL2L1、E2F1 和 RAC1 与胰腺腺癌患者的生存时间有关。在这些基因中,JUB、ERLIN1、FAM110B、MCM2 和 BCL2L1 也对胰腺腺癌具有诊断价值。此外,JUB、HMGA2 和 MCM2 的表达趋势随着肿瘤分化等级的增加而增加,而 FAM110B 的表达趋势随着肿瘤分化等级的增加而降低。电子验证结果与生物信息学分析一致。

结论

JUB、ERLIN1、HMGA2、FAM110B、EGFR、MCM2、TCTA、SSTR1、BCL2L1、E2F1、RAC1 和 STAT1 等 12 个肿瘤分化相关基因在胰腺腺癌的分化中发挥着关键作用。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/de34/5875763/17448bad4d72/pone.0193427.g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/de34/5875763/c82af5dbb23b/pone.0193427.g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/de34/5875763/96e5248c0c3f/pone.0193427.g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/de34/5875763/46438bb9006e/pone.0193427.g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/de34/5875763/0328d0646155/pone.0193427.g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/de34/5875763/a71a35a303fb/pone.0193427.g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/de34/5875763/b54fa94f95d8/pone.0193427.g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/de34/5875763/17448bad4d72/pone.0193427.g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/de34/5875763/c82af5dbb23b/pone.0193427.g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/de34/5875763/96e5248c0c3f/pone.0193427.g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/de34/5875763/46438bb9006e/pone.0193427.g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/de34/5875763/0328d0646155/pone.0193427.g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/de34/5875763/a71a35a303fb/pone.0193427.g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/de34/5875763/b54fa94f95d8/pone.0193427.g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/de34/5875763/17448bad4d72/pone.0193427.g007.jpg

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