Elevated Levels of MUC and JADE1 Predict Poor Prognosis of Patients with Gastric Cancer

MUC和JADE1水平升高预示胃癌患者预后不良

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Abstract

OBJECTIVE: This study aimed to investigate the relationship between the expression of mucin (MUC) and JADE family PHD finger factor 1 (JADE1) and Helicobacter pylori (HP) infection as well as depth of tumor invasion in gastric cancer. METHODS: According to the results of immunohistochemical staining, 132 gastric cancer patients diagnosed and treated in our hospital from March 2018 to May 2019 were divided into MUC2 negative group (n=43), MUC2 positive group (n=89), JADE1 negative group (n=36) and JADE1 positive group (n=96). The relationship between MUC2 and JADE1 expression and clinicopathological features of gastric cancer was analyzed. The diagnostic value of MUC2 and JADE1 alone or in combination in gastric cancer was analyzed using ROC curve. RESULTS: The MUC2 and JADE1 expressions in gastric cancer tissues was increased (P<0.05). MUC2 and JADE1 expressions were related to different tumor size, differentiation degree, HP infection, lymph node metastasis, depth of tumor invasion and Lauren classification (P<0.05). Kaplan-Meier survival analysis showed that the survival rate of patients with negative expression of MUC2 and JADE1 was significantly lower than that of patients with positive expression of MUC2 and JADE1 (P<0.05). The area under the curve, sensitivity and specificity of MUC2 alone, JADE1 alone and the two combined in detection of gastric cancer was 0.774, 72.46% and 80.03%, 0.796, 82.14% and 76.48%, and 0.918, 91.34% and 89.57%, respectively. CONCLUSION: The expressions of MUC2 and JADE1 in gastric cancer tissues were significantly increased, and their expressions were associated with tumor size, differentiation degree, HP infection, lymph node metastasis, depth of tumor infiltration, Lauren's staging. The combined detection of the two has a high value in the diagnosis of gastric cancer. Analysis of the relationship between MUC2 and JADE1 expression and HP infection is helpful for clinical medical staff to effectively evaluate the condition of patients.

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