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肝癌和胰腺癌的共同特征与差异特征:分子机制研究方法

Common and differential features of liver and pancreatic cancers: molecular mechanism approach.

作者信息

Saki Kourosh, Mansouri Vahid, Asri Nastaran, Fathi Mohammad, Razzaghi Zahra

机构信息

Proteomics Research Center, Faculty of Paramedical Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran.

Gastroenterology and Liver Diseases Research Center, Research Institute for Gastroenterology and Liver Diseases, Shahid Beheshti University of Medical Sciences, Tehran, Iran.

出版信息

Gastroenterol Hepatol Bed Bench. 2021 Fall;14(Suppl1):S87-S93.

PMID:35154607
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8817745/
Abstract

AIM

The aim of this study was to introduce biomarkers commonly involved in pancreatic cancer metastasis to the liver.

BACKGROUND

The liver is affected by metastatic disease in pancreatic cancer.

METHODS

Two cancer biomarkers were distinguished through a STRING database protein query. The dysregulated proteins of the two cancers were included in 2 networks drawn by Cytoscape software v 3.2.7. 20 top nodes and achieved by the Network analyzer application of Cytoscape based on degree value. The common hub nodes were determined, and action maps were analyzed.

RESULTS

Among 20 hubs of each studied cancer, 18 common hub nodes (90% of hubs) were identified and screened by action maps. Four proteins, AKT1, CDKN2A, ERBB2, and IL6, were identified as common central proteins related to the two studied diseases.

CONCLUSION

AKT1, CDKN2A, ERBB2, and IL6 are common protein core of liver and pancreatic cancers, while STAT3, CASP3, NOTCH1, and CTNNB1 are possible differential proteins to discriminate these cancers.

摘要

目的

本研究旨在介绍胰腺癌肝转移中常见的生物标志物。

背景

肝脏会受到胰腺癌转移疾病的影响。

方法

通过STRING数据库蛋白质查询区分出两种癌症生物标志物。这两种癌症的失调蛋白被纳入由Cytoscape软件v 3.2.7绘制的两个网络中。通过Cytoscape的网络分析器应用程序基于度值确定20个顶级节点。确定了共同的枢纽节点,并分析了作用图谱。

结果

在每种研究癌症的20个枢纽中,通过作用图谱鉴定并筛选出18个共同枢纽节点(占枢纽的90%)。四种蛋白质,AKT1、CDKN2A、ERBB2和IL6,被确定为与两种研究疾病相关的共同核心蛋白质。

结论

AKT1、CDKN2A、ERBB2和IL6是肝癌和胰腺癌的共同蛋白质核心,而STAT3、CASP3、NOTCH1和CTNNB1是区分这些癌症的可能差异蛋白质。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7c5c/8817745/f110f9fdd710/GHFBB-14-S87-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7c5c/8817745/453c7a861e94/GHFBB-14-S87-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7c5c/8817745/742d843b2d38/GHFBB-14-S87-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7c5c/8817745/f110f9fdd710/GHFBB-14-S87-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7c5c/8817745/453c7a861e94/GHFBB-14-S87-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7c5c/8817745/742d843b2d38/GHFBB-14-S87-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7c5c/8817745/f110f9fdd710/GHFBB-14-S87-g003.jpg

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Novel Biomarkers of Habitual Alcohol Intake and Associations With Risk of Pancreatic and Liver Cancers and Liver Disease Mortality.习惯性饮酒的新型生物标志物及其与胰腺癌、肝癌风险和肝脏疾病死亡率的关联。
J Natl Cancer Inst. 2021 Nov 2;113(11):1542-1550. doi: 10.1093/jnci/djab078.
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Targeting a neoantigen derived from a common mutation.
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The STRING database in 2021: customizable protein-protein networks, and functional characterization of user-uploaded gene/measurement sets.2021 年的 STRING 数据库:可定制的蛋白质-蛋白质网络,以及用户上传的基因/测量集的功能特征分析。
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