肺癌患者外周血淋巴细胞亚群与预后的关系

The correlation of peripheral blood lymphocyte subsets with prognosis in lung cancer patients

  • 摘要:
      目的  探讨肺癌患者外周血T细胞亚群及NK细胞与临床病理特征及预后的关系。
      方法  回顾性观察102例肺癌患者、12例肺良性疾病患者及23例健康体检者,记录其外周血T细胞亚群及NK细胞占外周血淋巴细胞的百分比,对比二者分布在肺癌、肺良性疾病及健康体检者之间的差异,并对患者的临床病理资料进行回顾性分析,分析淋巴细胞亚群与预后的关系及其与临床病理特征的相关性。
      结果  肺癌患者外周血CD4+T细胞低于健康体检者,而CD8+T细胞却较高,差异有统计学意义(P < 0.05);单因素分析显示T细胞亚群及NK细胞分布与预后并无显著关系(P>0.05),而与淋巴结转移、TNM分期、肿瘤标志物等存在相关性(P < 0.05)。
      结论  肺癌患者外周血T亚群及NK细胞分布异常,动态监测患者外周血T细胞亚群及NK细胞有助于评估患者免疫功能,有望成为判断患者预后的一种指标。

     

    Abstract:
      Objective  To study the relationship of lymphocyte subsets with prognosis and clinico-pathologic features in lung cancer patients.
      Methods  Flow cytometry was used to analyze the distribution of T-lymphocyte subsets and natural killer cells in the peripheral blood of lung cancer patients, patients with benign pulmonary diseases, and healthy controls. The peripheral-blood lymphocyte levels of the subjects were compared. Clinical data obtained from 102 lung cancer cases were reviewed retrospectively, and the relationship of lymphocyte subsets with prognosis and clinico-pathologic features was analyzed.
      Results  The level of CD4+T cells was lower in the peripheral blood of lung cancer patients than that of the healthy controls (P < 0.05); however, the level of CD8+T cells was higher in lung cancer patients than in the healthy controls (P < 0.05). Univariate analysis revealed that T-lymphocyte subsets and natural killer cells were not influential factors in the overall survival of lung cancer patients (P>0.05). However, the abnormal distribution of lymphocyte subsets was related to lymphatic metastasis, TNM stage, and tumorigenesis P < 0.05).
      Conclusion  The distribution of T-lymphocyte subsets and natural killer cells was abnormal in the peripheral blood of lung cancer patients, and the dynamic changes in distribution can help assess the immune functions of lung cancer patients. Cellular immune function can act as a prognostic indicator in lung cancer patients.

     

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