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子痫前期与子宫内膜癌之间遗传和免疫机制的鉴定:生存及治疗反应的预后模型

Identification of genetic and immune mechanisms linking preeclampsia and endometrial cancer: a prognostic model for survival and treatment response.

作者信息

Teng Fei, Fang Guangjuan, Wang Jing, Yang Yongxiu

机构信息

Department of Obstetrics and Gynecology, The First Hospital of Lanzhou University, Lanzhou, China.

The First School of Clinical Medicine, Lanzhou University, Lanzhou, China.

出版信息

Discov Oncol. 2024 Nov 29;15(1):727. doi: 10.1007/s12672-024-01622-9.

Abstract

Preeclampsia (PE) and endometrial cancer (EC) are two distinct conditions that share common genetic and molecular mechanisms involving immune dysregulation, endothelial dysfunction, and angiogenesis. This study aimed to investigate the potential genetic links between PE and EC, identify key prognostic genes, and develop a risk model to predict overall survival in EC patients. We conducted comprehensive genetic and molecular analyses, revealing significant overlaps in immune and angiogenic pathways between PE and EC. Through LASSO regression and multivariate Cox analysis, we identified five core prognostic genes-FSTL3, PRSS23, IGFBP4, MYDGF, and TSC22D3-that were used to construct a risk model. This model effectively stratified EC patients into high- and low-risk groups, with significant differences in overall survival. Patients in the low-risk group exhibited better 1-, 3-, and 5-year survival outcomes and had higher immune cell infiltration and expression of immune checkpoint-related genes, indicating a more favorable tumor microenvironment. Additionally, the analysis showed that these genes are also implicated in the pathogenesis of PE, highlighting potential shared molecular mechanisms. Our findings suggest that these PE-related genes may serve as valuable prognostic biomarkers for EC and could lead to improved prognostic tools and personalized treatment strategies for EC patients.

摘要

子痫前期(PE)和子宫内膜癌(EC)是两种不同的病症,但它们具有共同的遗传和分子机制,涉及免疫失调、内皮功能障碍和血管生成。本研究旨在探讨PE和EC之间潜在的遗传联系,识别关键的预后基因,并建立一个风险模型来预测EC患者的总生存期。我们进行了全面的遗传和分子分析,揭示了PE和EC在免疫和血管生成途径上存在显著重叠。通过LASSO回归和多变量Cox分析,我们确定了五个核心预后基因——FSTL3、PRSS23、IGFBP4、MYDGF和TSC22D3——用于构建风险模型。该模型有效地将EC患者分为高风险组和低风险组,两组的总生存期存在显著差异。低风险组患者的1年、3年和5年生存结局更好,免疫细胞浸润和免疫检查点相关基因的表达更高,表明肿瘤微环境更有利。此外,分析表明这些基因也与PE的发病机制有关,突出了潜在的共同分子机制。我们的研究结果表明,这些与PE相关的基因可能作为EC有价值的预后生物标志物,并可能带来改进的预后工具和针对EC患者的个性化治疗策略。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2400/11607278/76a16173e61b/12672_2024_1622_Fig1_HTML.jpg

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