Expression of transforming growth factor-β1 and insulin-like growth factor-1 in esophageal cancer tissue and their relationship with clinical characteristics and prognosis
Expression of transforming growth factor-β1 and insulin-like growth factor-1 in esophageal cancer tissue and their relationship with clinical characteristics and prognosis
Objective To investigate the expression of transforming growth factor-β1(TGF-β1)and insulin-like growth factor-1(IGF-1)in esophageal cancer tissue and their relationship with clinical characteristics and prognosis.Method The esophageal cancer tissues and corresponding adjacent tissues were collected from 81 patients with esopha-geal cancer,the expression of TGF-β1 and IGF-1 were detected by immunohistochemistry,the expression of TGF-β1 and IGF-1 in esophageal cancer tissues of esophageal cancer patients with different infiltration depth and lymph node metasta-sis were compared.The influencing factors of poor prognosis in esophageal cancer patients were analyzed by multivariate Logistic regression model analysis.Result The positive expression rates of TGF-β1 and IGF-1 in esophageal cancer tis-sues were significantly higher than those in adjacent tissues,the differences were statistically significant(P＜0.01).The positive expression rates of TGF-β1 and IGF-1 in esophageal cancer tissues of patients with infiltration depth T3-4 and lymph node metastasis were significantly higher than those of patients with infiltration depth T1-2 and no lymph node me-tastasis(P＜0.01).Multivariate Logistic regression analysis showed that TNM stage Ⅲ-Ⅳ,infiltration depth T3-4,lymph node metastasis,TGF-β1 positive expression,and IGF-1 positive expression were independent risk factors for poor prog-nosis in esophageal cancer patients(P＜0.05).Conclusion The positive expression rates of TGF-β1 and IGF-1 are high in esophageal cancer tissues,and their expression are closely related to the infiltration depth and lymph node metastasis,and are independent risk factors for poor prognosis in esophageal cancer patients.
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