The expression of leucine zipper EF-hand domain transmembrane protein 1, sodium hydrogen exchange protein 1 and adenylate cyclase related protein 2 in gastric cancer tissues and their predictive value for postoperative recurrence
10.3760/cma.j.cn115455-20210524-00689
- VernacularTitle:亮氨酸拉链EF-hand结构域跨膜蛋白1、钠氢交换蛋白1和腺苷酸环化酶相关蛋白2在胃癌组织中的表达及对术后复发的预测价值
- Author:
Jian ZHANG
1
;
Ying SHEN
;
Weiwei GE
Author Information
1. 海门市人民医院病理科，海门 226100
- Keywords:
Stomach neoplasms;
Neoplasm recurrence, local;
Leucine zipper/EF-hand-containing transmembrane protein 1;
Sodium hydrogen exchange protein 1;
Adenylate cy
- From:
Chinese Journal of Postgraduates of Medicine
2022;45(1):60-66
- CountryChina
- Language:Chinese
-
Abstract:
Objective:To investigate the expression of leucine zipper EF-hand domain transmembrane protein 1 (LETM1), sodium hydrogen exchange protein 1 (NHE-1) and adenylate cyclase related protein 2 (CAP2) in gastric cancer tissues and the predictive value for postoperative recurrence.Methods:The clinical data of 92 patients with early gastric cancer who underwent surgical treatment from January 2017 to January 2020 in Jiangsu Haimen People′s Hospital were retrospectively analyzed. According to the recurrence condition 6 months after operation, the patients were divided into recurrence group (16 cases) and non recurrence group (76 cases). The expression levels of LETM1, NHE-1 and CAP2 mRNA in cancer tissues and adjacent tissues were detected by real time fluorescent quantitative polymerase chain reaction. Multifactor Logistic regression analysis was used to analyze the related influencing factors of postoperative recurrence. The receiver operating characteristic (ROC) curve was drawn, and the effectiveness of LETM1, NHE-1 and CAP2 mRNA in predicting recurrence was analyzed. The Kaplan-Meier survival curve was drawn, and the survival rate was analyzed in patients with different expression levels of LETM1, NHE-1 and CAP2 mRNA.Results:The LETM1, NHE-1 and CAP2 mRNA in cancer tissues were significantly higher than those in adjacent tissues (0.41±0.12 vs. 0.22±0.07, 0.85±0.27 vs. 0.49±0.15 and 0.31±0.10 vs. 0.19±0.06), and there were statistical differences ( P<0.01). The proportion of N 1 stage in recurrent group was significantly higher than that in non recurrent group: 9/16 vs. 22.37% (17/76), and there was statistical difference ( P<0.05); the LETM1, NHE-1 and CAP2 mRNA of cancer tissues in recurrent group were significantly higher than those in non recurrent group (0.61±0.20 vs. 0.37±0.13, 1.24±0.38 vs. 0.77±0.21 and 0.60±0.19 vs. 0.25±0.10), and there were statistical differences ( P<0.01). Multifactor Logistic regression analysis result showed that, after controlled N stages, the LETM1, NHE-1 and CAP2 mRNA were still independent risk factors for postoperative recurrence in patients with gastric cancer ( OR = 1.52, 3.11 and 1.21; 95% CI 1.26 to 1.82, 2.36 to 4.09 and 1.04 to 1.41; P<0.01). ROC curve analysis result showed that the area under the curve (AUC) of LETM1, NHE-1 and CAP2 mRNA for predicting postoperative recurrence in patients with gastric cancer were 0.768, 0.802 and 0.850, respectively. The AUC of combination the indexes for predicting postoperative recurrence in patients with gastric cancer was 0.965. According to the cut-off value of ROC curve, the patients were divided into LETM1 mRNA high expression (>0.54, 30 cases) and low expression (≤0.54, 62 cases), NHE-1 mRNA high expression (>1.09, 35 cases) and low expression (≤1.09, 57 cases), CAP2 mRNA high expression (>0.49, 28 cases) and low expression (≤0.49, 64 cases). Kaplan-Meier survival curve analysis result showed that the survival rates in patients with high expression of LETM1, NHE-1 and CAP2 mRNA were significantly lower than those in patients with low expression (73.33% vs. 98.39%, 80.00% vs. 96.49% and 78.57% vs. 95.31%), and there were statistical differences ( χ2 = 15.08, 6.95 and 6.75, P<0.01). Conclusions:LETM1, NHE-1 and CAP2 mRNA are related to the recurrence of early gastric cancer after surgery. The detection of the 3 markers is expected to provide a new strategy for the prediction of postoperative recurrence.
