Expression and clinical significance of IL-17F and ANKRD49 in non-small cell lung cancer
Aim To analyze the expression and clinical significance of interleukin-17 F(IL-17F)and ankyrin repeat domain 49(ANKRD49)in non-small cell lung cancer(NSCLC)tissues.Methods NSCLC tissue and adjacent normal tissue from 60 NSCLC patients were collected.Immunohistochemical staining was used to detect the expression of ANKRD49 and IL-17F in NSCLC tissue and adjacent cancer tissues.The relationship between the expression of ANKRD49 and IL-17F and the clinical and pathological characteristics of NSCLC was analyzed by using multiple linear regression analysis.Kaplan-Meier survival curve analysis was per-formed to assess the impact of ANKRD49 and IL-17F expression on patient survival rates.Results The positive expression rates of ANKRD49 and IL-17F in NSCLC tissues were higher than those in adjacent tissues(P＜0.05).The positive expression rates of IL-17F in NSCLC tissues with TNM stage Ⅰ,no lymph node metastasis,and high differentiation were higher than those in TNM stage Ⅱand Ⅲ,with lymph node metastasis,and low differentiation,respectively(P＜0.05).The positive expression rates of ANKRD49 in NSCLC tissues with TNM stage Ⅲ,lymph node metastasis,and low differentiation were higher than those in TNM stage Ⅰ and Ⅱ,no lymph node metastasis,and medium to high differentiation(P＜0.05).TNM staging was a factor influencing the expression of IL-17F in NSCLC tissue.Lymphatic metastasis and differentiation degree were influencing factors of ANKRD49 expression in NSCLC tissue(P＜0.05).The survival rate of NSCLC patients with positive IL-17F expression was higher than that of negative patients(P＜0.05),while the survival rate of ANKRD49 positive patients was lower than that of negative patients(P＜0.05).Conclusion IL-17F and ANKRD49 are highly expressed in NSCLC tissues and are closely related to the prognosis of NSCLC patients.They could to be used as potential targets for evaluating the prognosis of NSCLC patients.
non-small cell lung cancerinterleukin-17FANKRD49pathological features
万方数据
维普
