胸腺素β_4与非小细胞肺癌转移和预后的关系

The clinical significance of thymosin β4 expression in human non-small cell lung cancer

目的 探讨胸腺素 β4(thymosinβ4,Tβ4)在人非小细胞肺癌组织中的表达及其与患者临床病理特征之间的关系 ,明确其对肺癌患者预后的意义。方法 对 76例非小细胞肺癌癌组织及 3 0例癌旁组织进行Tβ4免疫组织化学染色 (S P法 )检测 ,结合临床和病理资料 ,用 χ2 检验、Cox比例风险回归分析和生存曲线等方法分析Tβ4在肺癌组织中的表达意义。结果 Tβ4主要表达在癌细胞质中 ,在 76例非小细胞肺癌癌组织中有 5 8例 (76.3 % )呈Tβ4高表达 ,在癌旁正常支气管上皮细胞和肺泡上皮细胞中为低表达。 χ2 检验显示Tβ4的表达水平与肺癌的临床分期 (TNM )呈显著正相关 (r =0 .2 3 9,P =0 .0 3 2 ) ,与淋巴结转移呈显著正相关(r =0 .2 43 ,P =0 .0 2 9) ,与血行转移呈显著正相关 (r =0 .2 2 4,P =0 .0 45 ) ,与肺癌的分化程度呈显著负相关(r =-0 .3 68,P =0 .0 0 2 ) ,与患者的年龄、性别、肺癌的分型无明显相关性。Tβ4的高表达与生存时间、5年生存率呈显著负相关 (P <0 .0 5 )。结论 Tβ4在人非小细胞肺癌癌组织中的表达较非小细胞癌旁正常组织明显上调 ,并与其临床分期、分化、转移和预后相关 ,检测肺癌组织中Tβ4表达有助于预测患者预后。

Objective To study the relationship between human thymosin β4 (Tβ4 )expression and biological factors regarding invasion, metastasis and prognosis of human non-small cell lung cancer (NSCLC). Methods Tβ4 expression was detected in samples of 76 paraffin-embedded specimens with the neighboring noncancerous tissue using anti-Tβ4 IgY antibody (primary antibody) by immunohistochemical staining. The relationship between Tβ4 expression and the clinicopthological factors was analyzed by Chi-square test, multivariate analysis and Kaplan-Meier method. Results In immunoreactive cells, staining was mainly located in cytoplasma. Human Tβ4 expression was high positive in lung cancer tissues (76.3%, 58/76) while low positive in normal lung tissues. Tβ4 expression was positively associated with TNM stage (r=0.239, P=0.032), lymphatic metastasis (r=0.243, P=0.029) and venous metastasis (r=0.224, P=0.045).A negative correlation was found between Tβ4 expression and cell differentiation (r=-0.368, P=0.002). Patients with high Tβ4 expression had a worse prognosis than those with low Tβ4 expression (P<0.05). Conclusion Lung cancer has overexpression of Tβ4, which is closely related to TNM stages, cell differentiation, metastasis of the cancer and prognosis of the patients with lung cancer. Detection of Tβ4 expression in lung cancer tissues might be helpful to predict prognosis of patients with lung cancer.