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不同侵袭性卵巢肿瘤相关的 76 个基因遗传多态性分析。

An Analysis of Genetic Polymorphisms in 76 Genes Related to the Development of Ovarian Tumors of Different Aggressiveness.

机构信息

Maria Sklodowska-Curie National Research Institute of Oncology, 02-781 Warsaw, Poland.

Department of Gynecological Oncology, Maria Sklodowska-Curie National Research Institute of Oncology, 02-781 Warsaw, Poland.

出版信息

Int J Mol Sci. 2024 Oct 10;25(20):10876. doi: 10.3390/ijms252010876.

Abstract

Borderline ovarian tumors (BOTS) are rare neoplasms of intermediate aggressiveness between cystadenomas and low-grade ovarian cancers (lgOvCa), which they share some molecular resemblances with. In contrast to the most frequent and well-described high-grade ovarian carcinomas (hgOvCa), the molecular background of BOTS and lgOvCa is less thoroughly characterized. Here, we aimed to analyze genetic variants in crucial tumor suppressors and oncogenes in BOTS (with or without the V600E mutation), lgOvCa, and hgOvCa in two gene panels using next-generation sequencing. Then, we verified the existence of selected polymorphisms by Sanger sequencing. Finally, Western blot analyses were carried out to check the impact of the selected polymorphisms on the expression of the corresponding proteins. Our study contributes to the molecular characterization of ovarian neoplasms, demonstrating divergent polymorphic patterns pointing to distinct signaling pathways engaged in their development. Certain mutations seem to play an important role in BOTS without the V600E variant () and in lgOvCa ( and ), but not in hgOvCa. Additionally, based on multivariable regression analyses, potential biomarkers in BOTS () and hgOvCa (, , , ) were identified. Noteworthy, for some of the analyzed genes, such as , , and , , , the status of BRCA1/2 and TP53, respectively, turned out to be crucial. Our results shed new light on the similarities and differences in the polymorphic patterns between ovarian tumors of diverse aggressiveness. Furthermore, the biomarkers identified herein are of potential use as predictors of the prognosis and/or response to therapy.

摘要

交界性卵巢肿瘤(BOTS)是一种介于囊腺瘤和低级别卵巢癌(lgOvCa)之间的中间侵袭性肿瘤,与低级别卵巢癌具有某些分子相似性。与最常见和描述最详细的高级别卵巢癌(hgOvCa)不同,BOTS 和 lgOvCa 的分子背景尚未得到充分描述。在这里,我们旨在使用下一代测序分析 BOTS(有或没有 V600E 突变)、lgOvCa 和 hgOvCa 中关键肿瘤抑制因子和癌基因的遗传变异。然后,我们通过 Sanger 测序验证了所选多态性的存在。最后,进行 Western blot 分析以检查所选多态性对相应蛋白表达的影响。我们的研究有助于卵巢肿瘤的分子特征分析,证明了不同的多态性模式,这些模式指向不同的信号通路参与其发展。某些突变似乎在没有 V600E 变体的 BOTS(和)和 lgOvCa(和)中发挥重要作用,但在 hgOvCa 中则不然。此外,基于多变量回归分析,鉴定了 BOTS(和)和 hgOvCa(、、、)中的潜在生物标志物。值得注意的是,对于某些分析的基因,例如、、和、、、BRCA1/2 和 TP53 的状态分别变得至关重要。我们的结果揭示了不同侵袭性卵巢肿瘤之间多态性模式的相似性和差异性。此外,本文鉴定的生物标志物具有作为预后和/或治疗反应预测因子的潜在用途。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fa32/11507582/ceab612b5982/ijms-25-10876-g001.jpg

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