营养影响症状,摄入状态和癌症患者系统性炎症之间的关系
Hongting Xie1, Mingtong Zong2, Quan Sun3
1Department of Oncology, Wangjing Hospital of China Academy of Chinese Medicine Sciences, Beijing, People's Republic of China.
Cancer management and research
|November 19, 2025
概括
癌症相关营养不良 (CRM) 的特点是营养影响症状 (NIS). 这项研究确定了4个NIS集群,其中2个与系统性炎症和摄入有关,有助于精确的CRM患者分类和管理.
科学领域:
- 在瘤学瘤学.
- 营养科学 营养科学
- 生物统计学 生物统计学
背景情况:
- 与癌症相关的营养不良 (CRM) 由于营养影响症状 (NIS),摄入量减少和全身炎症 (SI) 带来了重大挑战.
- 精确的CRM表型确定对于理解病因机制和改善患者分类至关重要.
- 当前的分类方法可能无法完全捕捉CRM症状表现的复杂性.
研究的目的:
- 利用NIS作为探索CRM病因机制的表型.
- 开发基于症状集群的CRM患者更精确的分类系统.
- 为了确定NIS集群,全身炎症和营养状况之间的相关性.
主要方法:
- 通过探索性因子分析 (EFA) 分析了147名CRM患者,以确定NIS集群及其回归因子分数 (RFS).
- 包括斯皮尔曼相关性,克鲁斯卡尔-瓦利斯测试和回归分析在内的统计分析被用来检查RFS,营养标志物,SI和摄入量之间的关系.
- 根据已识别的NIS因子对患者进行了两步集群分析.
主要成果:
- 美国食品药品监督管理局确定了4个NIS因素. RFS-1和RFS-2与各种人体测量 (例如,中臂周长,小腿周长) 和生化标志物 (例如,血红蛋白,白蛋白,前白蛋白) 有显著的相关性.
- 无论是RFS-1还是RFS-2,都与系统性炎症标志物显著相关,包括C反应蛋白 (CRP),中性粒细胞与淋巴细胞的比率 (NLR) 和系统性免疫炎症指数 (SII).
- 集群分析揭示了3个患者组,在人体测量,炎症标志物和厌食症或摄入量降低的风险方面具有独特的个人资料.
结论:
- 该研究成功确定了4个NIS集群,其中2个与系统性炎症和摄入状态有显著联系.
- 建立了一个强大的表型框架,包括3个潜在的患者群体,解决了CRM研究中的一个关键差距.
- 这些发现为未来的多中心分析提供了标准化的表型工具,有可能增强CRM预防,治疗和临床管理.
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