Identification of an extracellular matrix signature for predicting prognosis and sensitivity to therapy of patients with gastric cancer.

IF 3.9 2区综合性期刊 Q1 MULTIDISCIPLINARY SCIENCES

Scientific Reports Pub Date : 2025-03-03 DOI:10.1038/s41598-025-88376-8

Nan Xu, Taojing Zhang, Weiwei Sun, Chenxiao Ye, Huamiao Zhou

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Abstract

Extracellular matrix (ECM) is a vital component of the tumor microenvironment and plays a crucial role in the development and progression of gastric cancer (GC). Co-expression networks were established by means of the "WGCNA" package, the optimal model for extracellular matrix scores (ECMs) was developed and validated, with its accuracy in predicting the prognosis and treatment sensitivity of GC patients assessed. We performed univariate cox regression analysis [HR = 6.8 ( 3.3-14 ), p < 0.001] which demonstrated that ECMs was an independent risk character and perceptibly superior to other factors with further analysis of multivariate Cox regression [HR = 8.68 ( 4.16-18.08 ), p < 0.001]. The nomogram, presenting the clinical prognosis model for GC patients, demonstrated accuracy through KM analysis [HR = 3.97 (2.56-6.16), p < 0.001] and ROC curves with AUC values of 0.70, 0.72, and 0.72 at 1, 3, and 5 years, respectively. Using the ECMs model, we stratified GC patients into high- and low-risk groups, enabling precise predictions of prognosis and drug sensitivity. This stratification provides a new strategic direction for the personalized treatment of GC.

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预测胃癌患者预后和治疗敏感性的细胞外基质特征的鉴定。

细胞外基质（Extracellular matrix， ECM）是肿瘤微环境的重要组成部分，在胃癌的发生发展中起着至关重要的作用。通过“WGCNA”包构建共表达网络，建立并验证细胞外基质评分（extracellular matrix scores, ECMs）的最优模型，评估其预测胃癌患者预后的准确性和治疗敏感性。我们进行了单因素cox回归分析[HR = 6.8 (3.3-14), p

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

Scientific Reports Natural Science Disciplines-

CiteScore

7.50

自引率

4.30%

发文量

19567

审稿时长

3.9 months

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