Expression of c-MET, EGFR and HER-2 in gastric adenocarcinoma tissue and its relationship with clinicopathological characteristics.

OBJECTIVE

To determine the expression of tyrosine protein kinase Met (c-MET), epidermal growth factor receptor (EGFR), and human epidermal growth factor receptor 2 (HER-2) in cases with gastric adenocarcinoma (GA).

METHODS

The positive rates of the c-MET, EGFR, and HER-2 proteins between cancerous tissues and normal tissues sampled from 87 patients with GA were compared. The patients were assigned to different subgroups according to their clinicopathological characteristics and analyzed. Then the relationship between the above three indexes and the positive expression of Ki-67 were analyzed. In addition, the patients were assigned to positive and negative groups based on the situation of c-MET, EGFR and HER-2 proteins, and followed up for three years. These groups were compared in terms of recurrence-free survival, overall survival, and risks factors of prognosis.

RESULTS

The positive rates of c-MET, EGFR and HER-2 proteins in GA tissues were all higher than those in corresponding non-tumor tissues (all P<0.001), and the positive rates of them were greatly different in subgroups with different differentiation, invasion depth, TNM stage, lymph node metastasis (LNM), distant metastasis and presence of tumor thrombus (all P<0.05) and were positively correlated with the expression of Ki-67 protein (P<0.05). Moreover, the survival analysis results revealed lower recurrence-free survival and overall survival rates in groups with negative expression of c-MET, EGFR, and HER-2 than those in groups with positive expression of them (both P<0.001). Furthermore, the positive EGFR was an independent prognostic factor affecting the survival of patients with GA.

CONCLUSION

The expression of c-MET, EGFR and HER-2 proteins is correlated with clinical characteristics of patients with GA, and patients with positive expression of them face a higher recurrence rate. Additionally, EGFR protein may affect patients' survival.