外周血炎症指标及颈部淋巴结指标在头颈部鳞状细胞癌预后评估中的研究进展
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大连医科大学附属第一医院

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Peripheral Blood Inflammatory Markers and Cervical Lymph Node Indicators for Prognostic Evaluation in Head and Neck Squamous Cell Carcinoma: A Review
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the First Affiliated Hospital of Dalian Medical University

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    摘要:

    头颈部鳞状细胞癌(HNSCC)具有显著的生物学异质性,其临床结局受到肿瘤负荷、区域转移特征、宿主炎症免疫状态及治疗模式等多因素共同影响。近年来,外周血炎症指标与颈部淋巴结相关指标因易获取、低成本和可重复检测等特点,逐渐成为HNSCC风险分层和预后评估的重要研究方向。淋巴结比率(LNR)和检出淋巴结数目(ELN)从区域转移负荷及病理评估充分性角度补充传统分期信息,而中性粒细胞与淋巴细胞比值(NLR)、血小板与淋巴细胞比值(PLR)、淋巴细胞与单核细胞比值(LMR)及系统免疫炎症指数(SII)则反映机体炎症反应与免疫平衡状态。现有研究提示,上述指标与HNSCC生存结局存在一定关联,但临床意义受到原发亚区、HPV感染状态、治疗方式、检测时间及界值选择等因素影响,尚缺乏具有广泛适用性的标准化评价体系。尤其在免疫治疗时代,炎症指标更多体现预后分层价值,作为治疗预测标志物的作用仍需更高等级证据支持。未来研究需结合多中心前瞻性数据、分子特征、免疫微环境及动态监测信息,建立更加精准和具有临床决策价值的个体化风险评估模型。

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    Abstract: Head and neck squamous cell carcinoma (HNSCC) is a biologically heterogeneous malignancy in which clinical outcomes are shaped by the complex interactions among tumor burden, patterns of regional metastasis, host inflammatory-immune status, and therapeutic strategies. In recent years, peripheral blood inflammatory markers and cervical lymph node-related parameters have attracted increasing attention as accessible, cost-effective, and reproducible tools for risk stratification and prognostic assessment in HNSCC. Lymph node ratio (LNR) and examined lymph node number (ELN) provide complementary information to conventional staging by capturing regional metastatic burden and the adequacy of pathological assessment, whereas neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), lymphocyte-to-monocyte ratio (LMR), and systemic immune-inflammation index (SII) serve as surrogate indicators of systemic inflammatory responses and immune homeostasis. Current evidence suggests that these biomarkers are associated with survival outcomes in HNSCC; however, their clinical interpretation is substantially affected by primary tumor subsite, HPV status, therapeutic strategies, timing of assessment, and cutoff definitions, underscoring the absence of a universally applicable standardized evaluation framework. Particularly in the era of immunotherapy, inflammatory markers currently demonstrate greater value for prognostic stratification than for treatment selection, and their potential role as predictive biomarkers for therapeutic response remains to be validated in prospective, high-level clinical studies. Future studies should integrate multicenter prospective cohorts with molecular profiling, immune microenvironmental characterization, and longitudinal monitoring data to develop precise individualized risk assessment models with robust predictive performance and clinical utility.

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  • 收稿日期:2026-07-01
  • 最后修改日期:2026-09-07
  • 录用日期:2026-09-07
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