炎症因子在多发性骨髓瘤早期复发中的预测价值

The Predictive Value of Inflammatory Factors in the Early Recurrence of Multiple Myeloma

摘要: 多发性骨髓瘤是一种具有高复发率和耐药风险的浆细胞恶性肿瘤，传统预测体系虽提供一定指导，但在动态监测和敏感性方面仍显不足。炎症因子因其在肿瘤微环境调控、免疫逃逸和耐药机制中的作用，逐渐成为复发预测研究的关键。本文聚焦IL-6、TNF-α、IL-1β、IL-17、IL-10与IFN-γ等核心炎症因子，系统探讨其在疾病进程中的功能，分析其与复发风险的关联、联合构建预测模型的价值，以及与现有体系的互补潜力。基于当前研究，炎症因子希望成为实现MM早期复发风险识别与精准干预的重要工具。

Abstract: Multiple myeloma is a malignant plasma cell tumor with high recurrence rate and drug resistance risk. Although the traditional prediction system provides certain guidance, it still falls short in dynamic monitoring and sensitivity. Inflammatory factors, due to their roles in regulating the tumor microenvironment, immune escape, and drug resistance mechanisms, have gradually become the key for recurrence prediction research. This paper focuses on core inflammatory factors such as IL-6, TNF-α, IL-1β, IL-17, IL-10, and IFN-γ, systematically explores their functions in the disease process, analyzes their association with the risk of recurrence, the value of jointly constructing prediction models, and the complementary potential with existing systems. Based on current research, inflammatory factors are expected to become an important tool for identifying the early recurrence risk and achieving precise intervention in MM.