National Medical Research Center for Obstetrics, Gynecology and Perinatology Named after Academician V.I. Kulakov of Ministry of Healthcare of Russian Federation, 117997 Moscow, Russia.
Research Institute of Molecular and Cellular Medicine, Peoples' Friendship University of Russia (RUDN University), 117198 Moscow, Russia.
Int J Mol Sci. 2023 Aug 10;24(16):12660. doi: 10.3390/ijms241612660.
The DNA methylation profile of breast cancer differs from that in healthy tissues and can be used as a diagnostic and prognostic biomarker. Aim of this study: To compare the levels of gene methylation in small malignant breast cancer tumors (<2 cm), in healthy tissue, and in fibroadenoma, and to evaluate the effectiveness of the modified Methylation Sensitive-High Resolution Melting (MS-HRM) method for this analysis. Analysis was performed using the modified MS-HRM method. For validation, the methylation levels of five genes were confirmed by pyrosequencing. The main study group included 96 breast cancer samples and the control group included 24 fibroadenoma samples and 24 healthy tissue samples obtained from patients with fibroadenoma. Breast cancer samples were divided into two subgroups (test set and validation set). The methylation of the following 15 genes was studied: , , , , , , , , , , , , , , and . Significant differences in the validation set of samples were found for seven genes; the combination of the four genes , , , (AUC = 0.99) showed the highest diagnostic value based on logistic regression for all breast cancer samples. Our modified MS-HRM method demonstrated that small breast cancer tumors have a specific DNA methylation profile that distinguishes them from healthy tissues and benign proliferative lesions.
乳腺癌的 DNA 甲基化图谱与健康组织不同,可作为诊断和预后的生物标志物。本研究的目的:比较<2cm 小乳腺癌肿瘤、健康组织和纤维腺瘤中的基因甲基化水平,并评估改良的甲基化敏感高分辨率熔解(MS-HRM)方法在此分析中的有效性。使用改良的 MS-HRM 方法进行分析。为了验证,通过焦磷酸测序确认了五个基因的甲基化水平。主要研究组包括 96 例乳腺癌样本,对照组包括 24 例纤维腺瘤样本和 24 例纤维腺瘤患者的健康组织样本。乳腺癌样本分为两组(测试集和验证集)。研究了以下 15 个基因的甲基化情况: 、 、 、 、 、 、 、 、 、 、 、 、 。在验证集中,七个基因的甲基化水平存在显著差异;基于逻辑回归,四个基因 、 、 (AUC=0.99)的组合对所有乳腺癌样本具有最高的诊断价值。我们的改良 MS-HRM 方法表明,小乳腺癌肿瘤具有独特的 DNA 甲基化图谱,可将其与健康组织和良性增殖性病变区分开来。