尽管宿主免疫反应可能对 ENKTL 的预后很重要，但缺乏有关 ENKTL 治疗前 T 淋巴细胞亚群的详细信息。为了改善 ENKTL 患者的风险分层，有必要研究 ENKTL 绝对 CD3  T 细胞计数 (ACD3C)、CD4  T 细胞计数 (ACD4C) 和 CD8  T 细胞计数 (ACD8C) 的预后相关性。我们回顾性分析了2016年12月至2022年6月温州医科大学第一附属医院收治的46例ENKTL患者。根据治疗前的截止值，采用Kaplan-Meier曲线和时序检验比较组间生存率T 淋巴细胞亚群。通过 Cox 回归分析生存的独立预后因素。 ACD3C、ACD4C 和 ACD8C 与 ENKTL 患者的总生存期 (OS) 和无进展生存期 (PFS) 相关。多变量分析确定治疗前 ACD3C、ACD4C 和 ACD8C 是独立的生存预后因素，独立于国际预后指数 (IPI)、自然杀伤淋巴瘤预后指数 (PINK) 和列线图修正风险指数 (NRI)。结合治疗前 T 淋巴细胞亚群和血清乳酸脱氢酶 (LDH) 的预后模型可用于将 ENKTL 患者分为不同的预后组，且生存率显着不同。当叠加在 IPI、PINK 或 NRI 类别上时，ACD3C-LDH、ACD4C-LDH 和 ACD8C-LDH 模型可以更好地识别低风险 IPI、PINK 或 NRI 类别中的高风险患者。总之，治疗前ACD3C、ACD4C和ACD8C是ENKTL患者有效的预后生存指标。当与 LDH 结合时，它们可以更好地识别高风险 ENKTL 患者。© 2024。作者获得 Springer-Verlag GmbH 德国（Springer Nature 旗下公司）的独家许可。

Although the host immune response is likely to be important for the prognosis of ENKTL, detailed information on the pre-treatment T lymphocyte subsets in ENKTL is lacking. To improve risk stratification for ENKTL patients, it is essential to look at the prognostic relevance of absolute CD3 + T cell counts (ACD3C), CD4 + T cell counts (ACD4C), and CD8 + T cell counts (ACD8C) for ENKTL. We retrospectively analyzed 46 ENKTL patients in the First Affiliated Hospital of Wenzhou Medical University between December 2016 and June 2022. Kaplan-Meier curves and log-rank tests were used to compare survival rates between groups according to the cut-off values of pre-treatment T lymphocyte subsets. Independent prognostic factors for survival were analyzed by Cox regression. ACD3C, ACD4C, and ACD8C were related to overall survival (OS) and progression-free survival (PFS) in ENKTL patients. Multivariate analyses identified pre-treatment ACD3C, ACD4C, and ACD8C as independent prognostic factors of survival, independent of the International Prognostic Index (IPI), prognostic index of natural killer lymphoma (PINK), and nomogram-revised risk index (NRI). The prognostic models incorporating pre-treatment T lymphocyte subsets and serum lactate dehydrogenase (LDH) could be used to stratify ENKTL patients into different prognostic groups with significantly different survivals. When superimposed on the IPI, PINK, or NRI categories, the ACD3C-LDH, ACD4C-LDH, and ACD8C-LDH models could better identify high-risk patients in the low-risk IPI, PINK, or NRI categories. In conclusion, the pre-treatment ACD3C, ACD4C, and ACD8C are effective prognostic survival indicators in ENKTL patients. When combined with LDH, they could better identify high-risk ENKTL patients.© 2024. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.