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基于循环炎症因子的诺莫图,用于预测新诊断多发性髓瘤患者的预后

Mowang Wang^1,2,3,4, Xiaoyan Yue⁵, Yingying Ding⁵

¹Bone Marrow Transplantation Center, the First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang Province, People's Republic of China.

Journal of inflammation research

|February 17, 2025

概括

一种使用诸如中性粒细胞与淋巴细胞比率 (NLR) 和中白素-10 (IL-10) 等炎症标志物的新诺基图有效预测新诊断的多发性骨髓瘤 (NDMM) 患者的存活率. 该工具提供了一种简单,易于使用的风险分层方法,优于现有的分阶段系统.

科学领域:

血液学血液学血液学
在瘤学瘤学.
免疫学免疫学免疫学

背景情况:

多发性骨髓瘤 (MM) 细胞生长和存活与骨髓微环境有关,而炎症是关键因素.
炎症标志物,如中性粒细胞与淋巴细胞的比率 (NLR),白血素-10 (IL-10),淋巴细胞与单细胞的比率 (LMR) 和血小板与淋巴细胞的比率 (PLR) 与MM患者的治疗结果较差有关.
在MM中,这些特定的与炎症相关的标志物的确切预后值尚不清楚.

研究的目的:

开发和验证新诊断多发性骨髓瘤 (NDMM) 患者的生存结果的预测性名录.
评估NDMM患者循环炎症因子 (包括NLR,LMR,PLR和IL-10) 的预后价值.
为了比较新型名录的性能与NDMM的已建立的分期系统.

主要方法:

来自452名新诊断的MM患者的临床数据的回顾性分析.
考克斯回归和最小绝对收缩和选择运算符 (LASSO) 分析的应用,以构建预测性名ograms.
在训练,验证和整个队伍中使用校准曲线验证名ograms.

主要成果:

确定了NLR (4.44),LMR (4.0),PLR (100) 和IL-10 (1.42 pg/mL) 的最佳切线值.
开发的名图表显示出强烈的歧视 (C指数:培训0.777,验证0.714,整个队列0.71),超过了DS,ISS和R-ISS分期系统.
根据名谱得分分为高风险和低风险组的患者在整体存活率 (OS) 中表现出显著差异,高风险患者的OS较短.

结论:

纳米图包含循环炎症因素,可以作为一种有效,廉价和易于使用的工具,用于NDMM患者的风险分层.
拟议的nomogram提供了有价值的预后信息,可以补充或超越现有的分期系统.
这种方法有助于个性化治疗策略和NDMM的预后评估.

关键词:

在 IL-10 中,IL-10 是 IL-10 的代表.淋巴细胞与单细胞的比率.多发性骨髓瘤是多发性骨髓瘤的一种.中性粒细胞与淋巴细胞的比率.这个名字是名ogramogram.血小板与淋巴细胞的比率.

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