Mengmeng Dong, Jinna Zhang, Li Yang, Yi Li, Jingsong He, Zhen Cai
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引用次数: 0
摘要
目的:多发性骨髓瘤(MM)是一种终末分化浆细胞恶性血液病。修订后的国际分期系统(RISS)常用于新发MM患者,但在预测预后方面存在局限性。需要在分期系统中加入更好的生物标志物。结果:本回顾性研究共纳入302例患者。平滑曲线拟合分析显示血清铁蛋白水平与复发和全因死亡相关。K-M曲线分析显示,铁蛋白水平较高的MM患者PFS较短(P P = 0.0014)。多因素Cox回归分析也显示血清铁蛋白高的MM患者PFS (P = 0.0012)和OS (P = 0.0258)较差,具有独立相关性。基于Cox回归的ROC分析预测模型验证了铁蛋白对PFS和OS的预测价值,并提高了ISS和RISS对OS的预测价值。结论:我们发现基线血清铁蛋白水平与MM患者的预后相关,血清铁蛋白较高的患者PFS和OS较差。血清铁蛋白可提高预测值。本研究为寻找MM患者预后生物标志物提供了新的依据。
Serum ferritin can serve as a biomarker for the prognosis and increased the prognostic predictive value of ISS/RISS in multiple myeloma patients.
Purpose: Multiple myeloma (MM) is a terminally differentiated plasma cell hematological malignancy. The revised international staging system (RISS) is commonly used in patients with de novo MM, but it has limitations in predicting prognosis. Better biomarkers need to added to the staging system.
Results: This retrospective study included a total of 302 patients. Smooth curve fitting analysis showed that serum ferritin levels were associated with relapse and all-cause death. The K-M curve analysis indicated that MM patients with higher ferritin levels had shorter PFS (p < 0.0056) and OS (p = 0.0014). Multivariate Cox regression analysis also showed MM patients with high serum ferritin had poor PFS (p = 0.0012) and OS (p = 0.0258), with independent correlation. The prediction model of ROC analysis based on Cox regression validated ferritin had a predictive value for PFS and OS, and increased the predictive value of ISS and RISS for OS.
Conclusion: We revealed that baseline serum ferritin levels were associated with prognosis in patients with MM, and patients with higher serum ferritin have poorer PFS and OS. Serum ferritin could increase the prediction value. The study provided a new evidence for searching for prognostic biomarkers in MM patients.
期刊介绍:
The journal Biomarkers brings together all aspects of the rapidly growing field of biomarker research, encompassing their various uses and applications in one essential source.
Biomarkers provides a vital forum for the exchange of ideas and concepts in all areas of biomarker research. High quality papers in four main areas are accepted and manuscripts describing novel biomarkers and their subsequent validation are especially encouraged:
• Biomarkers of disease
• Biomarkers of exposure
• Biomarkers of response
• Biomarkers of susceptibility
Manuscripts can describe biomarkers measured in humans or other animals in vivo or in vitro. Biomarkers will consider publishing negative data from studies of biomarkers of susceptibility in human populations.