Opławski Marcin, Nowakowski Robert, Średnicka Agata, Ochnik Dominika, Grabarek Beniamin Oskar, Boroń Dariusz
Department of Gynecology and Obstetrics with Gynecologic Oncology, Ludwik Rydygier Memorial Specialized Hospital, 31-826 Kraków, Poland.
Department of Histology, Cytophysiology and Embryology, Faculty of Medicine, University of Technology in Katowice, 41-800 Zabrze, Poland.
J Clin Med. 2021 Apr 6;10(7):1520. doi: 10.3390/jcm10071520.
Modern diagnostics are based on molecular analysis and have been focused on searching for new molecular markers to use in diagnostics. Included in this has been the search for the correlation between gene expression in tissue samples and liquid biological materials. The aim of this study was to evaluate the differences in the expression profile of messenger RNA (mRNA) and micro-RNA (miRNA) related to the epithelial-mesenchymal transition (EMT) in different grades of endometrial cancer (G1-G3), in order to select the most promising molecular markers. The study material consisted of tissue samples and whole blood collected from 30 patients with endometrial cancer (study group; G1 = 15; G2 = 8; G3 = 7) and 30 without neoplastic changes (control group). The molecular analysis included the use of the microarray technique and RTqPCR. Microarray analysis indicated the following number of mRNA differentiating the endometrial cancer samples from the control (tissue/blood): G1 vs. C = 21/18 mRNAs, G2 vs. C = 19/14 mRNAs, and G3 vs. C = 10/9 mRNAs. The common genes for the tissue and blood samples (Fold Change; FC > 3.0) were G1 vs. C: , , , and ; G2 vs. C: , , , and ; G3 vs. C and . In addition, mRNA , , and are common for all grades of endometrial cancer. The analysis showed that miR-144, miR-106a, and miR-30d are most strongly associated with EMT, making them potential diagnostic markers.
现代诊断基于分子分析,一直致力于寻找用于诊断的新分子标志物。其中包括寻找组织样本和液体生物材料中基因表达之间的相关性。本研究的目的是评估不同分级(G1 - G3)的子宫内膜癌中与上皮 - 间质转化(EMT)相关的信使核糖核酸(mRNA)和微小核糖核酸(miRNA)表达谱的差异,以便选择最有前景的分子标志物。研究材料包括从30例子宫内膜癌患者(研究组;G1 = 15例;G2 = 8例;G3 = 7例)和30例无肿瘤性改变的患者(对照组)采集的组织样本和全血。分子分析包括使用微阵列技术和实时定量聚合酶链反应(RTqPCR)。微阵列分析显示将子宫内膜癌样本与对照组区分开来的mRNA数量如下(组织/血液):G1与C相比 = 21/18种mRNA,G2与C相比 = 19/14种mRNA,G3与C相比 = 10/9种mRNA。组织和血液样本的共同基因(倍数变化;FC > 3.0)为G1与C相比: , , ,和 ;G2与C相比: , , ,和 ;G3与C相比 和 。此外,mRNA , ,和 在所有分级的子宫内膜癌中都很常见。分析表明,miR - 144、miR - 106a和miR - 30d与EMT关联最为紧密,使其成为潜在的诊断标志物。