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与乳腺癌和前列腺癌相关的基质分子特征的生物信息学分析

Bioinformatics Analysis of Stromal Molecular Signatures Associated with Breast and Prostate Cancer.

作者信息

Sun Chao, Gu Yifan, Chen Guoqing, Du Yibao

机构信息

Department of General Surgery, Tongren Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.

出版信息

J Comput Biol. 2019 Oct;26(10):1130-1139. doi: 10.1089/cmb.2019.0045. Epub 2019 Jun 11.

DOI:10.1089/cmb.2019.0045
PMID:31180245
Abstract

This study aimed to identify stromal molecular signatures associated with breast and prostate cancer. The microarray data GSE26910 was downloaded from Gene Expression Omnibus database, including six invasive breast tumor stroma, six matched normal controls, six invasive prostate tumor stroma, and six matched controls. The differentially expressed genes (DEGs) in invasive breast and prostate tumors stroma were, respectively, identified. Then common stromal genes (B_P.DEGs) were further screened. Protein-protein interaction (PPI) network was constructed and Gene Ontology analysis was performed. Besides, gene-chemical interactions were mapped in Comparative Toxicogenomics Database to screen the chemicals related to feature genes. The results showed that, in total, 16 B_P.DEGs were identified. Thereinto, only seven B_P.DEGs were mapped into PPI, and only four functional modules (adenylate cyclase activating polypeptide 1 (pituitary) receptor type I (ADCYAP1R1) module, aspartoacylase (ASPA) module, glutathione S-transferase mu 5 (GSTM5) module, and periplakin (PPL) module) were involved in important biological processes associated with cancer progression. In addition, the chemicals, such as dihydrotestosterone, apocarotenal, testosterone, and progesterone, were screened for the roles of feature genes in the progression of breast and prostate cancer. In conclusion, ADCYAP1R1, GSTM5, and PPL were stromal molecular signatures and might play a key role in the progression of breast and prostate cancer.

摘要

本研究旨在识别与乳腺癌和前列腺癌相关的基质分子特征。从基因表达综合数据库下载了微阵列数据GSE26910,其中包括六个浸润性乳腺肿瘤基质样本、六个匹配的正常对照样本、六个浸润性前列腺肿瘤基质样本以及六个匹配的对照样本。分别鉴定了浸润性乳腺和前列腺肿瘤基质中的差异表达基因(DEG)。然后进一步筛选出共同的基质基因(B_P.DEG)。构建了蛋白质-蛋白质相互作用(PPI)网络并进行了基因本体分析。此外,在比较毒理基因组学数据库中绘制了基因-化学物质相互作用图谱,以筛选与特征基因相关的化学物质。结果显示,总共鉴定出16个B_P.DEG。其中,只有7个B_P.DEG被映射到PPI中,并且只有四个功能模块(I型垂体腺苷酸环化酶激活多肽受体(ADCYAP1R1)模块、天冬氨酸酰基转移酶(ASPA)模块、谷胱甘肽S-转移酶μ5(GSTM5)模块和周膜蛋白(PPL)模块)参与了与癌症进展相关的重要生物学过程。此外,筛选出了二氢睾酮、阿朴胡萝卜醛、睾酮和孕酮等化学物质,以研究特征基因在乳腺癌和前列腺癌进展中的作用。总之,ADCYAP1R1、GSTM5和PPL是基质分子特征,可能在乳腺癌和前列腺癌的进展中起关键作用。

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