%0 Journal Article %T 基于COMMD10基因在三阴性乳腺癌中构建CD8+T细胞相关的预后模型
Construction of a CD8+T-Cell-Associated Prognostic Model Based on the COMMD10 Gene in Triple-Negative Breast Cancer %A 邹玲 %A 吴冬娣 %A 李健 %A 周伯宣 %A 武彪 %J Asian Case Reports in Oncology %P 1-13 %@ 2169-883X %D 2025 %I Hans Publishing %R 10.12677/acrpo.2025.141001 %X 目的：为探索COMMD10基因在三阴性乳腺癌(TNBC)治疗与预后中的作用，我们构建了一个基于COMMD10相关基因的预后模型。该模型旨在帮助评估患者的生存情况并制定治疗方案。方法：研究数据来自GEO和TCGA数据库，纳入TNBC患者的基因表达数据及临床信息。我们首先通过Spearman相关性分析筛选出78个与COMMD10表达相关的基因，通过LASSO多因素COX回归分析识别独立预后基因并构建风险评分。结果：筛选了5个关键基因用于构建风险评分模型，根据这些基因构建的风险评分模型，能将患者分为高风险组和低风险组。通过生存曲线和ROC曲线验证发现，该模型在训练集和验证集中均表现良好。进一步分析显示，高低风险组患者的免疫细胞浸润程度、免疫检查点分子表达以及化疗药物敏感性存在显著差异。结论：这些发现表明，COMMD10相关模型不仅能预测TNBC患者的预后，还能为个性化治疗提供依据。
Objective: To explore the role of COMMD10 gene in the treatment and prognosis of triple-negative breast cancer (TNBC), we constructed a prognostic model based on COMMD10-related genes. The model was designed to help assess patient survival and develop a treatment plan. Methods: Data were obtained from the GEO and TCGA databases, which contain gene expression data and clinical information of TNBC patients. We first screened 78 genes associated with COMMD10 expression by Spearman correlation analysis, identified independent prognostic genes, and constructed risk scores by LASSO multifactorial COX regression analysis. Results: Five key genes were selected for risk score model construction, and the risk score models constructed based on these genes were able to classify patients into high-risk and low-risk groups. The model was validated using survival curves and ROC curves and was found to perform well in both the training and validation sets. Further analysis revealed significant differences in the degree of immune cell infiltration, expression of immune checkpoint molecules, and chemotherapeutic drug sensitivity between patients in the high-risk and low-risk groups. Conclusion: These results suggest that the COMMD10-related model can not only predict the prognosis of TNBC patients, but also provide a basis for personalized treatment. %K 三阴性乳腺癌， %K COMMD10， %K 预后预测模型
Triple Negative Breast Cancer %K COMMD10 %K Prognostic Predictive Modeling %U http://www.hanspub.org/journal/PaperInformation.aspx?PaperID=112740