介绍：多发性骨髓瘤（MM）是一种高度异质性的血液恶性肿瘤。患者的生存结果差异很大。建立更准确的预后模型对于改善预后精度和指导临床治疗是必要的。方法：我们开发了一个八基因模型来评估MM患者的预后结果。使用单因素Cox分析、最小绝对收缩和选择算子（LASSO）回归以及多因素Cox回归分析来确定重要基因并构建模型。使用其他独立数据库验证了该模型。结果：结果显示，高风险组患者的总体生存期明显短于低风险组患者。八基因模型在预测MM患者的预后方面表现出高准确性和可靠性。讨论：我们的研究基于铜致死和氧化应激为MM患者提供了一种新的预后模型。八基因模型可以为预后提供有效的预测，并指导个性化临床治疗。需要进一步的研究来验证该模型的临床效用并探索潜在的治疗靶点。版权所有©2023李、姚、华和吴。

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.Copyright © 2023 Li, Yao, Hua and Wu.