Apanovich Natalya, Matveev Alexey, Ivanova Natalia, Burdennyy Alexey, Apanovich Pavel, Pronina Irina, Filippova Elena, Kazubskaya Tatiana, Loginov Vitaly, Braga Eleonora, Alimov Andrei
Research Centre for Medical Genetics, 1 Moskvorechye St., Moscow 115522, Russia.
Federal State Budgetary Institution (N.N. Blokhin National Medical Research Center of Oncology) of the Ministry of Health of the Russian Federation, 24 Kashirskoe Shosse, Moscow 115478, Russia.
Diagnostics (Basel). 2023 Jul 6;13(13):2289. doi: 10.3390/diagnostics13132289.
Clear cell renal cell carcinoma (ccRCC) is the most common and aggressive histological type of cancer in this location. Distant metastases are present in approximately 30% of patients at the time of first examination. Therefore, the ability to predict the occurrence of metastases in patients at early stages of the disease is an urgent task aimed at personalized treatment. Samples of tumor and paired histologically normal kidney tissue from patients with metastatic and non-metastatic ccRCC were studied. Gene expression was analyzed using real-time PCR. The level of gene methylation was evaluated using bisulfite conversion followed by quantitative methylation-specific PCR. Two groups of genes were analyzed in this study. The first group includes genes whose expression is significantly reduced during metastasis: , , , and ( < 0.001, ROC analysis). The second group includes microRNA genes: , , , , and , whose increased methylation levels are associated with the development of distant metastases ( = 0.002 to <0.001, ROC analysis). Based on the data obtained, a combined panel of genes was formed to identify patients whose tumors have a high metastatic potential. The panel can estimate the probability of metastasis with an accuracy of up to 92%.
透明细胞肾细胞癌(ccRCC)是该部位最常见且侵袭性最强的组织学类型癌症。初次检查时约30%的患者存在远处转移。因此,预测疾病早期患者转移发生情况的能力是一项旨在实现个性化治疗的紧迫任务。对转移性和非转移性ccRCC患者的肿瘤样本及配对的组织学正常肾组织进行了研究。使用实时PCR分析基因表达。通过亚硫酸氢盐转化后进行定量甲基化特异性PCR评估基因甲基化水平。本研究分析了两组基因。第一组包括在转移过程中表达显著降低的基因: 、 、 及 ( < 0.001,ROC分析)。第二组包括微小RNA基因: 、 、 、 及 ,其甲基化水平升高与远处转移的发生相关( = 0.002至<0.001,ROC分析)。基于所获数据,形成了一组联合基因以识别肿瘤具有高转移潜能的患者。该组基因可高达92%的准确率估计转移概率。