Development and validation of a prognostic nomogram based on the hub genes of patients with hypertensive intracerebral hemorrhage.

IF 1.7 4区 医学 Q3 MEDICINE, RESEARCH & EXPERIMENTAL
American journal of translational research Pub Date : 2024-10-15 eCollection Date: 2024-01-01 DOI:10.62347/CUWD4200
Ruoshui Sun, Jie Liu, Peigang Hui, Yaolei Zhang, Zhe Xiao
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引用次数: 0

Abstract

Objective: Hypertensive intracerebral hemorrhage (HICH) is frequently associated with high disability, high mortality, and poor prognosis. The present study aimed to identify genes associated with HICH to construct prognostic models to improve accuracy in predicting HICH prognosis.

Methods: Hub genes were identified by screening out differentially expressed genes from data in the Gene Expression Omnibus database and conducting weighted gene co-expression network analysis. 68 patients with HICH were recruited and categorized based on prognosis. The univariate logistic, least absolute shrinkage and selection operator, and multivariate logistic regression models were then established based on clinical data and the identified hub genes. A prognostic model was constructed based on the nomogram score. The model was validated using receiver operating characteristic curve, C-index, calibration plots, and decision curve analysis. It was also compared to a prognostic model constructed based on clinical data alone. The prognostic value of the nomogram score was assessed in different subgroups.

Results: Three hub genes: pro-platelet basic protein (PPBP), PDZ and LIM domain protein 1 (PDLIM1), and metalloproteinase 1 (TIMP1) were identified as significantly correlated to adverse outcomes in HICH. These hub genes, in combination with the clinical data, were used to construct a nomogram score system, which exhibited strong predictive power, excellent consistency between actual outcomes and predictions, and a higher net clinical benefit. HICH patients with high scores presented significantly worse outcome. Importantly, the developed nomogram score system was superior to the use of clinicopathological features in predicting HICH prognosis. The nomogram score system exhibited adequate predictive performance in different subgroups as well.

Conclusion: The nomogram score system based on PPBP, PDLIM1, and TIMP1 genes, along with clinical data, exhibited superior performance in predicting adverse outcome in HICH patients. This system could, therefore, be useful for guiding clinical decisions and providing valuable insight for designing individualized treatments for HICH patients.

根据高血压性脑出血患者的枢纽基因开发和验证预后提名图。
目的:高血压性脑出血(HICH)常伴有高致残率、高死亡率和预后不良。方法:从基因表达总库数据库的数据中筛选出差异表达基因,并进行加权基因共表达网络分析,从而确定枢纽基因。招募了 68 名 HICH 患者,并根据预后进行了分类。然后根据临床数据和确定的枢纽基因建立了单变量逻辑、最小绝对缩减和选择算子以及多变量逻辑回归模型。根据提名图得分构建了预后模型。利用接收者操作特征曲线、C 指数、校准图和决策曲线分析对模型进行了验证。该模型还与仅根据临床数据构建的预后模型进行了比较。在不同的亚组中评估了提名图评分的预后价值:结果:三个中心基因:促血小板碱性蛋白(PPBP)、PDZ和LIM结构域蛋白1(PDLIM1)以及金属蛋白酶1(TIMP1)与HICH的不良预后显著相关。这些枢纽基因与临床数据相结合,被用于构建一个提名图评分系统,该系统具有很强的预测能力,实际结果与预测结果之间具有很好的一致性,并且具有较高的临床净获益。得分较高的 HICH 患者的预后明显较差。重要的是,所开发的提名图评分系统在预测 HICH 预后方面优于临床病理特征。在不同的亚组中,提名图评分系统也表现出了足够的预测能力:结论:基于 PPBP、PDLIM1 和 TIMP1 基因以及临床数据的提名图评分系统在预测 HICH 患者的不良预后方面表现优异。因此,该系统可用于指导临床决策,并为 HICH 患者个体化治疗的设计提供有价值的见解。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
American journal of translational research
American journal of translational research ONCOLOGY-MEDICINE, RESEARCH & EXPERIMENTAL
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552
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