首页|失巢凋亡相关基因对子宫内膜癌患者预后状况的预测价值

失巢凋亡相关基因对子宫内膜癌患者预后状况的预测价值

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子宫内膜癌(uterine corpus endometrial carcinoma,UCEC)是最常见的女性生殖系统肿瘤,肿瘤发生远端转移的患者预后极差.失巢凋亡(anoikis)是一种特殊的程序性细胞死亡形式,在肿瘤的侵袭和转移中起着关键作用,分析失巢凋亡相关基因与UCEC患者预后之间的关系将为临床治疗提供指导.本研究采用非监督一致性聚类算法对数据集进行分组,分析患者的肿瘤微环境(tumor microenvironment,TME)与临床特征的差异.同时,筛选预后相关的失巢凋亡基因,构建风险评分模型,评估UCEC患者的风险评分与临床特征、TME和药物治疗反应之间的关系.在分析失巢凋亡相关基因表达差异的基础上确定两个明确的聚类(A簇和B簇),与A簇UCEC患者相比,B簇UCEC患者的总生存期较短、免疫浸润水平较低.构建的风险评分模型可量化失巢凋亡相关基因的调控模式,高风险评分组表现为预后不良且免疫细胞浸润水平低,而低风险评分组则相反.药物敏感性分析结果表明,高风险评分的人群可能从靶向有丝分裂和DNA修复通路的药物中获得更佳疗效.本研究揭示了失巢凋亡相关基因与临床特征、TME和药物治疗反应之间的潜在关系,并阐明了其在UCEC治疗中的价值.
Predictive Values of Anoikis-related Genes for Prognosis in Uterine Corpus Endometrial Carcinoma Patients
Uterine corpus endometrial carcinoma(UCEC)is the most common tumor in the female reproductive system,and patients with distant metastasis have a poor prognosis.Anoikis,a specific form of programmed cell death,plays a critical role in tumor invasion and metastasis.It will provide guidance for clinical treatment by analyzing the relationship between anoikis-related genes and the prog-nosis of UCEC patients.The unsupervised clustering analysis was used to group the dataset and analyze the differences between the tumor microenvironment(TME)and clinical characteristics of patients.At the same time,the prognostic anoikis-related genes were screened for construction of a risk score model,and the relationship between risk scores,clinical features,TME,and response to drug therapy in UCEC patients were evaluated.Based on analysis of the differentially expressed anoikis-related genes,two distinct clusters(cluster A and cluster B)were identified.Compared with cluster A,UCEC patients in cluster B had shorter overall survival and lower levels of immune infiltration.The constructed risk score model could be used to quantify the regulatory pattern of anoikis-related genes.The high-risk scoring group exhibited poor prognosis and low levels of immune cell infiltration,while the low-risk group showed the op-posite trend.Drug sensitivity analysis indicated that the high-risk scoring group might benefit from drugs targeting mitosis and DNA re-pair pathways.Thus,this study reveals the potential relationship between anoikis-related genes and clinical features,TME,and drug treatment,and highlights their values in the treatment of UCEC.

Uterine corpus endometrial carcinomaTumor microenvironmentAnoikisRisk score modelPrognostic value

刘凯凤、韦现鹏、欧阳燕、胡祖权、岳萍、曾柱

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贵州医科大学基础医学院,贵州省感染免疫与抗体工程特色重点实验室,贵州省细胞免疫治疗工程研究中心,贵阳,550025

贵州医科大学生物与工程学院(健康医药现代产业学院),贵州医科大学生物与医学工程重点实验室,贵州省高等学校免疫细胞与抗体工程研究中心,贵阳,550025

子宫内膜癌 肿瘤微环境 失巢凋亡 风险评分模型 预后价值

贵州省省级科技计划贵州省省级科技计划贵州省省级科技计划贵州省省级科技计划

黔科合基础-ZK[2022]一般397黔科合平台人才[2021]5637号黔科合平台人才[2016]5676黔科合人才团队[2015]4021号

2024

10.13417/j.gab.043.000697

基因组学与应用生物学
广西大学

基因组学与应用生物学

CSTPCD北大核心
影响因子：1.108
ISSN：1674-568X
年,卷(期)：2024.43(4)
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