A Novel Signature Based on Angiogenesis-Related Genes Predicts the Prognosis and Immunotherapy Response in HER2-Positive Breast Cancer.

IF 4.3 3区 材料科学 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC ACS Applied Electronic Materials Pub Date : 2024-07-08 eCollection Date: 2024-01-01 DOI:10.7150/jca.94120
Shuanglong Chen, Weiheng Cui, Jiale Dong, Wenyan Chen, Hongmei Dong, Ruijun Zhao
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Abstract

Background: HER2-positive breast cancer is one of the most prevalent subtypes of breast cancer and represents a significant health concern for women worldwide due to its high morbidity and mortality rates. Recent studies have consistently underscored the pivotal role of angiogenesis in the development and progression of HER2-positive breast cancer. Here, we developed a prognostic signature based on angiogenesis-related genes (ARGs) to categorize HER2-positive breast cancer patients and provide insights into their survival outcomes. Methods: Kaplan-Meier survival curve, time-dependent receiver operating characteristic (ROC) and nomogram were performed to investigate the prognostic performance of the signature. In addition, we comprehensively analyzed the correlation of the prognostic signature with immune cell infiltration, immune checkpoint inhibitors (ICIs) therapy. Finally, Immunohistochemistry (IHC) and immunoblotting were used to investigate XBP1 expression in HER2-positive breast cancer tissues. Colony formation assay was performed to examine cell proliferation of HER2-positive breast cancer cells. Results: The Kaplan-Meier curves and the ROC curves demonstrated that the ARGs had good performance in predicting the prognosis of HER2-positive breast cancer patients. In addition, we observed that the low-risk group was remarkably associated with immune infiltration and better response to ICIs. Further experimental results show that XBP1 is upregulated in human HER2-positive breast cancer, and its knockdown significantly inhibited cell proliferation. Conclusions: Our study demonstrated that the ARGs could serve as a novel biomarker for predicting the prognosis of patients with HER2-positive breast cancer and providing new insights into immunotherapy strategies for these patients.

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基于血管生成相关基因的新特征可预测 HER2 阳性乳腺癌的预后和免疫疗法反应
背景:HER2 阳性乳腺癌是乳腺癌中最常见的亚型之一,由于其发病率和死亡率较高,已成为全球妇女的重大健康问题。最近的研究不断强调血管生成在 HER2 阳性乳腺癌的发生和发展中的关键作用。在此,我们根据血管生成相关基因(ARGs)开发了一种预后特征,用于对 HER2 阳性乳腺癌患者进行分类,并为了解其生存结果提供见解。研究方法我们绘制了卡普兰-梅耶生存曲线、时间依赖性接收器操作特征(ROC)和提名图来研究特征的预后表现。此外,我们还全面分析了预后特征与免疫细胞浸润、免疫检查点抑制剂(ICIs)治疗的相关性。最后,我们采用免疫组织化学(IHC)和免疫印迹法研究了XBP1在HER2阳性乳腺癌组织中的表达。集落形成试验用于检测 HER2 阳性乳腺癌细胞的增殖情况。结果Kaplan-Meier曲线和ROC曲线表明,ARGs在预测HER2阳性乳腺癌患者的预后方面表现良好。此外,我们还观察到低风险组与免疫浸润和对 ICIs 更好的反应显著相关。进一步的实验结果表明,XBP1 在人类 HER2 阳性乳腺癌中上调,其敲除可显著抑制细胞增殖。结论:我们的研究表明,ARGs可作为一种新型生物标记物来预测HER2阳性乳腺癌患者的预后,并为这些患者的免疫治疗策略提供新的见解。
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CiteScore
7.20
自引率
4.30%
发文量
567
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