两个自噬相关基因的预后风险特征用于预测三阴性乳腺癌结果

IF 4.3 3区 材料科学 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC
ACS Applied Electronic Materials Pub Date : 2024-09-02 eCollection Date: 2024-01-01 DOI:10.2147/BCTT.S475007
Bing Yu, Zhimei Xing, Xiaoxuan Tian, Rui Feng
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引用次数: 0

摘要

背景:三阴性乳腺癌(TNBC三阴性乳腺癌(TNBC)是公认的最具侵袭性的乳腺癌分子亚型。最近的研究强调了自噬在 TNBC 发病机制中的复杂作用:在这项研究中,我们评估了来自在线数据库的 579 份 TNBC 样本中的 18,330 个基因,包括 1111 个自噬相关基因(ARGs)。利用癌症基因组图谱(TCGA)的高通量RNA-seq数据确定了TNBC中差异表达的ARGs。通过Cox回归和多变量Cox分析检验了预后因素,并使用接收器操作特征曲线(ROC)评估了预测效果。此外,还开发了一种将风险特征与TNM分期等临床病理因素相结合的提名图。此外,还对临床样本进行了免疫组化分析:结果:EIF4EBP1和NPAS3与TNBC患者的预后结果显著相关。多变量 Cox 回归分析表明,在 TCGA 和 GSE31519 数据集中的 TNBC 样本中,这两个基因的表达水平是疾病进展的准确预测因子。该预测模型的有效性通过ROC曲线分析和校准图得到了验证,证实了其准确估计TNBC患者1年、2年和3年生存率的能力。此外,EIF4EBP1和NPAS3的表达影响了TNBC细胞系的药物敏感性,NPAS3在TNBC组织中的表达明显较低,尤其是在III期病例中。本研究首次报道了NPAS3在TNBC患者中的表达:结论:自噬相关基因EIF4EBP1和NPAS3可作为TNBC患者的独立预后因素。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Prognostic Risk Signature of Two Autophagy-Related Genes for Predicting Triple-Negative Breast Cancer Outcomes.

Background: Triple-negative breast cancer (TNBC) is recognized as the most aggressive molecular subtype of breast cancer. Recent studies have highlighted the complex role of autophagy in the pathogenesis of TNBC.

Methods: In this study, we evaluated 18,330 genes, including 1111 autophagy-related genes, (ARGs), across 579 TNBC samples from online databases. Differentially expressed ARGs in TNBC were identified using high-throughput RNA-seq data from the Cancer Genome Atlas (TCGA). Prognostic factors were examined through Cox regression and multivariate Cox analyses, with predictive efficacy assessed using receiver operating characteristic (ROC) curves. A nomogram integrating the risk signature with clinicopathological factors, such as TNM stage, was developed. Immunohistochemical analysis of clinical samples was also conducted.

Results: EIF4EBP1 and NPAS3 were significantly correlated with prognostic outcomes in patients with TNBC. Multivariate Cox regression analysis demonstrated that the expression levels of these two genes were accurate predictors of disease progression in TNBC samples from TCGA and the GSE31519 dataset. The efficacy of this predictive model was validated using ROC curve analysis and calibration plots, confirming its ability to accurately estimate the 1-, 2-, and 3-year survival rates for individuals with TNBC. Additionally, EIF4EBP1 and NPAS3 expression influenced drug sensitivity in TNBC cell lines, with notably lower NPAS3 expression in TNBC tissues, particularly in Stage III cases. This study is the first to report NPAS3 expression in patients with TNBC.

Conclusion: The autophagy-related genes EIF4EBP1 and NPAS3 may serve as independent prognostic factors for individuals with TNBC.

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来源期刊
CiteScore
7.20
自引率
4.30%
发文量
567
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