da Cunha Júlia Pinheiro Chagas, Galante Pedro Alexandre Favoretto, de Souza Jorge Estefano Santana, Pieprzyk Martin, Carraro Dirce Maria, Old Lloyd J, Camargo Anamaria Aranha, de Souza Sandro José
Ludwig Institute for Cancer Research, São Paulo 01308-050, SP, Brazil ; Center for Applied Toxinology, Butantan Institute, São Paulo 05503-900, SP, Brazil.
Biomed Res Int. 2013;2013:976816. doi: 10.1155/2013/976816. Epub 2013 Sep 9.
Cell surface proteins are ideal targets for cancer therapy and diagnosis. We have identified a set of more than 3700 genes that code for transmembrane proteins believed to be at human cell surface.
We used a high-throuput qPCR system for the analysis of 573 cell surface protein-coding genes in 12 primary breast tumors, 8 breast cell lines, and 21 normal human tissues including breast. To better understand the role of these genes in breast tumors, we used a series of bioinformatics strategies to integrates different type, of the datasets, such as KEGG, protein-protein interaction databases, ONCOMINE, and data from, literature.
We found that at least 77 genes are overexpressed in breast primary tumors while at least 2 of them have also a restricted expression pattern in normal tissues. We found common signaling pathways that may be regulated in breast tumors through the overexpression of these cell surface protein-coding genes. Furthermore, a comparison was made between the genes found in this report and other genes associated with features clinically relevant for breast tumorigenesis.
The expression profiling generated in this study, together with an integrative bioinformatics analysis, allowed us to identify putative targets for breast tumors.
细胞表面蛋白是癌症治疗和诊断的理想靶点。我们已经鉴定出一组超过3700个编码跨膜蛋白的基因,这些蛋白被认为位于人类细胞表面。
我们使用高通量qPCR系统分析了12个原发性乳腺肿瘤、8个乳腺细胞系以及包括乳腺在内的21种正常人体组织中的573个细胞表面蛋白编码基因。为了更好地理解这些基因在乳腺肿瘤中的作用,我们使用了一系列生物信息学策略来整合不同类型的数据集,如KEGG、蛋白质-蛋白质相互作用数据库、ONCOMINE以及文献数据。
我们发现至少77个基因在原发性乳腺肿瘤中过表达,其中至少2个在正常组织中也具有受限的表达模式。我们发现了一些可能通过这些细胞表面蛋白编码基因的过表达在乳腺肿瘤中受到调控的常见信号通路。此外,还对本报告中发现的基因与其他与乳腺肿瘤发生临床相关特征相关的基因进行了比较。
本研究中产生的表达谱分析,结合综合生物信息学分析,使我们能够鉴定出乳腺肿瘤的潜在靶点。