Predictive Value of Combined Detection of RAP2B,CREB1 and RGS16 Levels in Esophageal Cancer Tissue for Short-term Prognosis After Surgery

Li Jing; Chang Tingmin

doi:10.3969/j.issn.1004-5775.2025.08.011

Abstract：Objective:To investigate the predictive value of combined detection of RAS-related protein 2B(RAP2B),cyclic AMP response element binding protein 1(CREB1),and G protein signaling regulatory factor 16(RGS16)expression in esophageal cancer tissues for short-term prognosis after surgery.Methods:Patients with esophageal cancer in the hospital from June 2021 to January 2024 were selected as the research object(n=77).The levels of RAP2B,CREB1 and RGS16 in cancer tissues and adjacent tissues were compared.According to the different prognosis after 6 months,the patients were divided into good prognosis group and poor prognosis group.The univariate and multivariate prognostic factors of patients with esophageal cancer after operation were analyzed by cohort analysis,and the predictive value of combined detection for postoperative prognosis was analyzed.Results:The levels of RAP2B,CREB1 and RGS16 in cancer tissues were higher than those in adjacent tissues,with statistically significant difference(t=33.863,22.539,61.924;P＜0.05).The proportions of lymph node metastasis and lesion diameter ≥3 cm in the poor prognosis group were higher than those in the good prognosis group,and the levels of RAP2B,CREB1 and RGS16 were higher than those in the good prognosis group,with statistically significant difference(x2=15.188,11.052;t=8.314,6.940,11.506;P＜0.05).Logistic regression analysis showed that lymph node metastasis,lesion diameter,RAP2B,CREB1 and RGS16 were risk factors for poor prognosis(OR=3.720,3.717,2.427,4.616,3.600;P＜0.05).The ROC curve showed that the AUC of RAP2B,CREB1 and RGS16 combined predicted poor prognosis at admission was 0.787.Conclusion:The increased expression of RAP2B,CREB1 and RGS16 in esophageal cancer tissues is considered an independent risk factor for poor prognosis in patients.Early detection of their expression can be used as an effective biomarker for predicting patient prognosis in clinical practice,assisting early clinical treatment,and improving patient prognosis.