Mar-Aguilar Fermín, Luna-Aguirre Claudia M, Moreno-Rocha J Claudio, Araiza-Chávez Juan, Trevino Victor, Rodríguez-Padilla Cristina, Reséndez-Pérez Diana
Department of Cellular Biology and Genetics, College of Biological Sciences, Autonomous University of Nuevo Leon, San Nicolás de los Garza, Nuevo León, Mexico.
Asia Pac J Clin Oncol. 2013 Mar;9(1):53-9. doi: 10.1111/j.1743-7563.2012.01548.x. Epub 2012 Jul 23.
To develop new biomarkers for early detection and to inform effective clinical management of breast cancer.
Real-time polymerase chain reaction was used to profile microRNA (miRNA) in tumor tissue from 50 breast cancer patients using non-tumor breast tissue from each patient as a control. We have focussed on three miRNA; miR-21, miR-125b and miR-191, all of which have been implicated in breast cancer with either proven or predicted target genes involved in critical cancer-associated cellular pathways.
Upregulation of miR-21 and miR-191 and downregulation of miR-125b, was found in breast cancer tissue. Combined expression analysis of miR-125b/miR-191 increased sensitivity to 100% and specificity to 94% while miR-21/miR-191 increased to 92% and 100%, respectively. Therefore, combination of two miRNA gives a better prediction than individual miRNA.
We could differentiate between breast cancer and adjacent non-tumor breast tissue as a control with a high degree of sensitivity and specificity in the Mexican population using a combined expression analysis of only two miRNA. These observations, although a proof of principle finding at this time, show that a combined expression profile of two miRNA (miR-125b/miR-191 and miR-21/miR-191) can discriminate between breast cancer and non-tumor tissue with high specificity and sensitivity.
开发用于早期检测的新型生物标志物，并为乳腺癌的有效临床管理提供信息。
采用实时聚合酶链反应，以50例乳腺癌患者的肿瘤组织为研究对象，以每位患者的非肿瘤乳腺组织作为对照，对微小RNA（miRNA）进行分析。我们重点研究了三种miRNA；miR-21、miR-125b和miR-191，所有这些miRNA均与乳腺癌有关，其已证实或预测的靶基因参与关键的癌症相关细胞途径。
在乳腺癌组织中发现miR-21和miR-191上调，miR-125b下调。miR-125b/miR-191的联合表达分析使敏感性提高到100%，特异性提高到94%，而miR-21/miR-191分别提高到92%和100%。因此，两种miRNA联合使用比单个miRNA具有更好的预测效果。
在墨西哥人群中，仅使用两种miRNA的联合表达分析，我们就能以高度的敏感性和特异性区分乳腺癌组织与作为对照的相邻非肿瘤乳腺组织。这些观察结果虽然目前只是原理性验证，但表明两种miRNA（miR-125b/miR-191和miR-21/miR-191）的联合表达谱能够以高特异性和敏感性区分乳腺癌组织与非肿瘤组织。
