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生物信息学分析和实验验证在子宫内膜癌中定义不同血管生成亚型,并确定预后签名

Qi Zhang¹, Yuwei Yao¹, Zhicheng Yu²

¹Department of Obstetrics and Gynecology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430022, China.

|June 24, 2024

概括

这项研究将子宫体子宫内膜癌 (UCEC) 患者分为五种血管新生亚型,并为个性化治疗策略制定血管新生相关预后风险评分 (APRS).

科学领域:

在瘤学瘤学.
血管生物学血管生物学
癌症基因组学癌症基因组学

背景情况:

周围血管对于瘤生长和转移至关重要.
分子介导血管生成在瘤免疫微环境 (TIME) 和子宫体内膜癌 (UCEC) 的预后中的特定作用尚不清楚.

研究的目的:

为了研究UCEC中的血管生成模式.
根据血管生成来识别UCEC亚型.
为UCEC患者制定预后风险评分.

主要方法:

来自506名UCEC患者 (TCGA队列) 的217个血管生成相关基因的综合转录组数据.
确定了五种血管性亚型 (EC1-EC5) 并构建了血管生成相关的预后风险评分 (APRS).
使用qRT-PCR,免疫组织化学,单细胞测序,体外试验和异种移植模型的验证结果.

主要成果:

确定了五种不同的血管性亚型 (EC1-EC5),在预后,临床病理特征,时间和免疫治疗反应方面存在显著差异.
开发的APRS准确地预测了多个队列的UCEC患者预后.
APRS与临床病理特征,基因组突变,癌症特征,TIME模式以及对免疫检查点抑制剂 (ICI) 治疗的预测反应相关.

结论:

这项研究提供了基于血管生成的UCEC患者的新型分类.
该APRS为UCEC患者提供了一个个性化的预后预测和优化免疫疗法选择的工具.

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