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CD4+, IL17 and Foxp3 Expression in Different pTNM Stages of Operable Non-small Cell Lung Cancer and Effects on Disease Prognosis

  • Zhang, Guo-Qing ;
  • Han, Feng ;
  • Fang, Xin-Zhi ;
  • Ma, Xiao-Mei
  • Published : 2012.08.31

Abstract

Objective: To investigate the effects of $CD4^+$, IL17 and Foxp3 expression on prognosis of operable non-small cell lung cancer (NSCLC) with different pTNM stages. Methods: Expression of $CD4^+$, IL17 and Foxp3 in 102 cases of NSCLC tissues and adjacent cancer tissues was detected by immunohistochemistry and associations with prognosis with different pTNM stages were analyzed. The Chi-square test was used to compare count data. Survival differences were evaluated by Kaplan-Meier single factor analysis and the COX regression model was used to analyze the relationship between influential factors and the disease prognosis. The significance level was ${\alpha}$=0.05. Results: Expression of CD4, IL-17 and Foxp3 significantly varied in different pTNM stages of NSCLC tissues (P < 0.05). The same was true for CD4 expression (P < 0.05). The median survival time (MST) in the positive CD4 expression group was evidently higher than that in the negative group (25.8/23.9 months). Compared with stage III, the MST difference of stages I and II in the positive CD4 expression group were statistically significant (P < 0.05). The MST in positive IL-17 and Foxp3 expression groups was obviously lower than that in the corresponding negative group (P < 0.05) (25.6/35.1 months and 24/35.3 months, respectively). There was a significant difference of MST between any two of three stages of positive IL-17 expression group (P < 0.05), and it was the same with positive Foxp3 expression group. TNM stage, negative CD4 expression, and positive IL-17 and Foxp3 expression were the main risk factors for the prognosis of NSCLC. Conclusion: Surgical prognosis of NSCLC can be better assessed by the combination of clinical staging and expression of IL17 and Foxp3.

Keywords

Non-small cell lung cancer;tumor immunity;prognosis;pTNM staging

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