非小细胞肺癌患者组织HMGB-1和Tiaml表达的意义

Significance of the expression of HMGB-1 and Tiaml in non-small cell lung cancer tissues

目的探讨非小细胞肺癌患者组织高迁移率族蛋白-1（HMGB-1）和T淋巴瘤侵袭转移诱导因子1（Tiaml）表达的意义。方法选择非小细胞肺癌患者51例作为研究对象，癌组织作为观察组，癌旁组织作为对照组，采用免疫组化染色测定组织中HMGB-1和Tiaml的表达情况。结果HMGB-1主要表达于癌细胞的细胞核和细胞质，间质细胞的细胞核和细胞质，成淡黄色至棕褐色，在观察组中阳性表达为70．1％（36／51），在对照组中为7．8％（4／51），两组比较差异有统计学意义（X^2=9．27，P〈0．05）。Tiaml阳性染色位于细胞质和细胞膜，呈黄色、棕黄色或棕褐色，Tiaml在观察组中阳性表达为66．7％（34／51），在对照组中为5．9％（3／51），两组比较差异有统计学意义（X^2=10．36，P〈0．05）。肺癌组织中HMGB-1和Tiaml的表达与性别、组织类型、肿瘤分化程度均无关（P〉0．05），与TNM分期、淋巴结转移情况、是否复发有密切关系（P〈0．05）。结论非小细胞肺癌组织中HMGB-1和Tiaml高表达，并且可以预测患者预后。

Objective To study the significance of the expression of high mobility group box-1 （HMGB-1） and T-cell lymphoma invasion and metastasis 1 （Tiaml） in non-small cell lung cancer tis-sues. Methods Fifty-one cases of non-small cell lung cancer were chose as the research objects. Can-cerous tissues were enrolled into the observation group and adjacent tissues as the control group. Tissue HMGB-1 and Tiaml expression levels were determined by immunohistochemical staining. Results HMGB-1 was mainly expressed in the nucleus and cytoplasm of cancer cells, stromal cells nucleus and cytoplasm, showed pale yellow to brown color. The positive expression in the observation group was 70. 1% （36/51）, and in the control group was 7.8% （4/51）, there was significant difference between the two groups （ X^2 = 9.27, P 〈 0.05 ）. Tiaml positive staining was in the cytoplasm and cell membrane, showed yellow, brown or tan color, the positive expression of Tiaml in the observation group was 66. 7% （34/51）, the positive expression in the control group was 5.9% （3/51）, there was significant differ-ence between the two groups （X^2 = 10. 36, P 〈 0. 05 ）. The lung tissue HMGB-1 and Tiaml expression levels were not correlated with gender, histological type, tumor differentiation degree （ P 〉 0.05 ）, but were closely related with TNM stage, lymph node metastasis, recurrence （P 〈 0. 05 ）. Conclusions HMGB-1 and Tiaml expression levels in non-small cell lung cancer were high, and they can predict the prognosis of patients.