血清sMICA、PCNA、GASP-1、TIMP-1在非小细胞肺癌患者中的表达及相关性分析

Expression and correlation analysis of serum sMICA,PCNA,GASP-1 and TIMP-1 in patients with non-small cell lung cancer

目的探讨血清可溶性MHC-I类链相关蛋白A(sMICA)、增殖细胞核抗原(PCNA)、G蛋白偶联受体相关分选蛋白1(GASP-1)、组织金属蛋白酶抑制剂1(TIMP-1)在非小细胞肺癌(NSCLC)患者中的表达及与病理分型的相关性。方法2020年7月至2022年8月诊治的86例NSCLC患者作为研究对象,并设立为观察组,同期选取43例健康体检者设立为对照组;并根据不同病理分型将观察组分为腺癌组(n=33)和鳞癌组(n=53),对比血清sMICA、PCNA、GASP-1、TIMP-1;并采用Logistic回归模型分析sMICA、PCNA、GASP-1、TIMP-1对非小细胞肺癌的影响;采用ROC曲线模型分析sMICA、PCNA、GASP-1、TIMP-1诊断非小细胞肺癌的AUC、敏感度及特异度。结果观察组的sMICA、PCNA、GASP-1、TIMP-1均高于对照组(P<0.05)。腺癌组的sMICA、PCNA、GASP-1、TIMP-1均高于鳞癌组(P<0.05)。二元Logistic回归模型分析显示,sMICA、PCNA、GASP-1、TIMP-1高表达会对非小细胞肺癌的发生产生影响(P<0.05)。ROC曲线分析显示,sMICA、PCNA、GASP-1、TIMP-1及四项联合诊断NSCLC的AUC值分别为(0.750、0.654、0.819、0.788、0.843,P均<0.05),敏感度分别为57.00%、46.50%、67.40%、90.70%、79.10%;特异度分别为93.00%、93.00%、88.40%、58.10%、86.00%。结论sMICA、PCNA、GASP-1、TIMP-1在NSCLC患者中呈高表达趋势,其表达水平会随病理分型而升高。

Objective To investigate the expression of soluble MHC-I chain-associated protein A(sMICA),proliferating cell nuclear antigen(PCNA),G protein-coupled receptor-associated sorting protein 1(GASP-1)and tissue metalloproteinase inhibitor 1(TIMP-1)in patients with non-small cell lung cancer(NSCLC)and their correlation with pathological types.Methods From July 2020 to August 2022,86 patients with NSCLC were selected as the research object and set as the observation group,while 43 healthy people were selected as the control group.According to different pathological types,the observation group was divided into the adenocarcinoma group(n=33)and the squamous cell carcinoma group(n=53),and the serum sMICA,PCNA,GASP-1 and TIMP-1 were compared.Logistic regression model was used to analyze the effect of sMICA,PCNA,GASP-1 and TIMP-1 on non-small cell lung cancer.ROC curve model was used to analyze the AUC,sensitivity and specificity of sMICA,PCNA,GASP-1 and TIMP-1 in the diagnosis of non-small cell lung cancer.Results sMICA,PCNA,GASP-1 and TIMP-1 in the observation group were higher than those in the control group(P<0.05).SMICA,PCNA,GASP-1 and TIMP-1 in the adenocarcinoma group were higher than those in the squamous cell carcinoma group(P<0.05).The analysis of binary Logistic regression model showed that the high expression of sMICA,PCNA,GASP-1 and TIMP-1 would affect the occurrence of non-small cell lung cancer(P<0.05).ROC curve analysis showed that the AUC values of sMICA,PCNA,GASP-1,TIMP-1 and the four combined diagnoses of NSCLC were 0.750,0.654,0.819,0.788 and 0.843,respectively(P<0.05).The sensitivity was 57.00%,46.50%,67.40%,90.70%,79.10%,and the specificity was 93.00%,93.00%,88.40%,58.10%and 86.00%,respectively.Conclusion sMICA,PCNA,GASP-1 and TIMP-1 are highly expressed in patients with NSCLC,and their expression levels will increase with pathological classification.