DataSheet1_Comprehensive analysis of prognosis of cuproptosis-related oxidative stress genes in multiple myeloma.ZIP

Introduction: Multiple myeloma (MM) is a highly heterogeneous hematologic malignancy. The patients’ survival outcomes vary widely. Establishing a more accurate prognostic model is necessary to improve prognostic precision and guide clinical therapy.
Methods: We developed an eight-gene model to assess the prognostic outcome of MM patients. Univariate Cox analysis, Least absolute shrinkage and selection operator (LASSO) regression, and multivariate Cox regression analyses were used to identify the significant genes and construct the model. Other independent databases were used to validate the model.
Results: The results showed that the overall survival of patients in the high-risk group was signifificantly shorter compared with that of those in the low-risk group. The eight-gene model demonstrated high accuracy and reliability in predicting the prognosis of MM patients.
Discussion: Our study provides a novel prognostic model for MM patients based on cuproptosis and oxidative stress. The eight-gene model can provide valid predictions for prognosis and guide personalized clinical treatment. Further studies are needed to validate the clinical utility of the model and explore potential therapeutic targets.

引言：多发性骨髓瘤（Multiple myeloma, MM）是一种高度异质性的血液系统恶性肿瘤，患者的生存结局差异悬殊。构建更为精准的预后模型，对于提升预后预判精度、指导临床治疗具有重要必要性。
方法：本研究构建了一款八基因预后模型，用于评估多发性骨髓瘤患者的预后结局。通过单因素Cox分析、最小绝对收缩和选择算子（LASSO）回归以及多因素Cox回归分析，筛选出关键基因并构建该模型；同时采用其他独立数据集对模型进行验证。
结果：结果显示，高危组患者的总生存期显著短于低危组患者。该八基因模型在预测多发性骨髓瘤患者预后方面展现出较高的准确性与可靠性。
讨论：本研究基于铜死亡（cuproptosis）与氧化应激，为多发性骨髓瘤患者构建了一种新型预后模型。该八基因模型可有效预测患者预后，为个体化临床治疗提供指导。未来仍需开展进一步研究，以验证该模型的临床应用价值，并探索潜在的治疗靶点。