Department of Internal Medicine, Division of Gastroenterology, Charles A. Sammons Cancer Center and Baylor Research Institute, Baylor University Medical Center, Dallas, Texas 75246, USA.
Clin Cancer Res. 2011 Oct 1;17(19):6239-49. doi: 10.1158/1078-0432.CCR-11-1424. Epub 2011 Aug 15.
microRNAs (miRNA) are small noncoding transcripts that play an important role in carcinogenesis. miRNA expression profiles have been shown to discriminate between different types of cancers. The aim of this study was to analyze global miRNA signatures in various groups of colorectal cancers (CRC) based on the presence of microsatellite instability (MSI).
We analyzed genome-wide miRNA expression profiles in 54 CRC tissues [22 with Lynch syndrome, 13 with sporadic MSI due to MLH1 methylation, 19 without MSI (or microsatellite stable, MSS)] and 20 normal colonic tissues by miRNA microarrays. Using an independent set of MSI-positive samples (13 with Lynch syndrome and 20 with sporadic MSI), we developed a miRNA-based predictor to differentiate both types of MSI by quantitative reverse transcriptase PCR.
We found that the expression of a subset of nine miRNAs significantly discriminated between tumor and normal colonic mucosa tissues (overall error rate = 0.04). More importantly, Lynch syndrome tumors displayed a unique miRNA profile compared with sporadic MSI tumors; miR-622, miR-1238, and miR-192 were the most differentially expressed miRNAs between these two groups. We developed a miRNA-based predictor capable of differentiating between types of MSI in an independent sample set.
CRC tissues show distinct miRNA expression profiles compared with normal colonic mucosa. The discovery of unique miRNA expression profiles that can successfully discriminate between Lynch syndrome, sporadic MSI, and sporadic MSS colorectal cancers provides novel insights into the role of miRNAs in colorectal carcinogenesis, which may contribute to the diagnosis, prognosis, and treatment of this disease.
微小 RNA(miRNA)是一种小的非编码转录物,在致癌作用中发挥重要作用。miRNA 表达谱已被证明可区分不同类型的癌症。本研究旨在根据微卫星不稳定性(MSI)的存在分析不同组结直肠癌(CRC)的全局 miRNA 特征。
我们通过 miRNA 微阵列分析了 54 个 CRC 组织[22 个具有林奇综合征,13 个由于 MLH1 甲基化而具有散发性 MSI,19 个无 MSI(或微卫星稳定,MSS)]和 20 个正常结肠组织的全基因组 miRNA 表达谱。使用一组独立的 MSI 阳性样本(13 个具有林奇综合征和 20 个具有散发性 MSI),我们通过定量逆转录酶 PCR 开发了一种基于 miRNA 的预测器来区分两种类型的 MSI。
我们发现,一组九个 miRNA 的表达可显着区分肿瘤和正常结肠黏膜组织(总错误率= 0.04)。更重要的是,林奇综合征肿瘤与散发性 MSI 肿瘤显示出独特的 miRNA 谱;miR-622、miR-1238 和 miR-192 是这两组之间差异表达最明显的 miRNA。我们开发了一种基于 miRNA 的预测器,能够在独立样本集中区分 MSI 类型。
CRC 组织与正常结肠黏膜相比表现出独特的 miRNA 表达谱。发现能够成功区分林奇综合征、散发性 MSI 和散发性 MSS 结直肠癌的独特 miRNA 表达谱,为 miRNA 在结直肠癌发生中的作用提供了新的见解,这可能有助于该疾病的诊断、预后和治疗。