Brunetti Marta, Panagopoulos Ioannis, Vitelli Valeria, Andersen Kristin, Hveem Tarjei S, Davidson Ben, Eriksson Ane Gerda Z, Trent Pernille Kristina Bjerre, Heim Sverre, Micci Francesca
Section for Cancer Cytogenetics, Institute for Cancer Genetics and Informatics, The Norwegian Radium Hospital, Oslo University Hospital, 0379 Oslo, Norway.
Oslo Center for Biostatistics and Epidemiology, Department of Biostatistics, University of Oslo, 0315 Oslo, Norway.
Cancers (Basel). 2022 Jul 20;14(14):3536. doi: 10.3390/cancers14143536.
Endometrial carcinomas (ECs) are histologically classified as endometrioid and nonendometrioid tumors, with each subgroup displaying different molecular profiles and clinical outcomes. Considerable biological and clinical heterogeneity exists within this scheme, however, reflecting its imperfection. We aimed to gather additional data that might help clarify the tumors' pathogenesis and contribute toward a more meaningful classification scheme. In total, 33 ECs were examined for the presence of chromosomal aberrations, genomic imbalances, pathogenic variants, microsatellite instability, and expression profiles at both gene and miRNA levels. Chromosome 1 was the most frequently rearranged chromosome, showing a gain of all or part of the long arm. Pathogenic variants were found for (53%), (37%), (34%), and (31%). High microsatellite instability was identified in 15 ECs. Comparing tumors and controls, we identified 23 differentially expressed genes of known importance in carcinogenesis, 15 genes involved in innate and adaptative immune responses, and altered expression of 7 miRNAs. miR-32-5p was the most upregulated. Our series showed a high degree of heterogeneity. Tumors were well-separated from controls, but there was no clear-cut separation between endometrioid and nonendometrioid ECs. Whether this means that the current phenotypic classification is of little relevance or if one still has not detected which genomic parameters to enter into correlation analyses remains unknown.
子宫内膜癌(ECs)在组织学上分为子宫内膜样肿瘤和非子宫内膜样肿瘤,每个亚组都表现出不同的分子特征和临床结果。然而,在这一分类体系中存在相当大的生物学和临床异质性,这反映了它的不完善之处。我们旨在收集更多数据,以帮助阐明肿瘤的发病机制,并有助于建立一个更有意义的分类体系。总共对33例子宫内膜癌进行了检查,以确定其染色体畸变、基因组失衡、致病变异、微卫星不稳定性以及基因和miRNA水平的表达谱。1号染色体是最常发生重排的染色体,显示出长臂全部或部分增加。发现 (53%)、 (37%)、 (34%)和 (31%)存在致病变异。在15例子宫内膜癌中鉴定出高微卫星不稳定性。比较肿瘤和对照,我们鉴定出23个在致癌过程中已知重要的差异表达基因、15个参与先天性和适应性免疫反应的基因,以及7个miRNA的表达改变。miR-32-5p上调最为明显。我们的系列研究显示出高度的异质性。肿瘤与对照明显区分开,但子宫内膜样和非子宫内膜样子宫内膜癌之间没有明确的区分。这是意味着当前的表型分类相关性不大,还是仍然没有检测到哪些基因组参数可用于相关性分析,目前尚不清楚。