Relationship between miR-425-5p/PTCH1 axis molecules and clinical pathological parameters and prognosis in cancer tissues of patients with primary laryngeal cancer
Objective To investigate the relationship between the Microrna-425-5p(miR-425-5p)/transmem-brane protein receptor Patched 1(PTCH1)axis molecule and clinical pathological parameters and prognosis in cancer tis-sues of patients with primary laryngeal cancer.Methods A prospective study was conducted on 108 patients with pri-mary laryngeal cancer who were admitted to the First Affiliated Hospital of Xinxiang Medical University from July 2018 to June 2021.The relative expression levels of miR-425-5p and PTCH1 mRNA in cancer tissues,tissues adjacent to the cancer,and cancer tissues with different pathological characteristics were compared.Spearman method was used to ana-lyze the correlation between miR-425-5p,PTCH1 and clinical pathological characteristics.After a 3-year follow-up,the 3-year survival rate of all patients was calculated.The relative expression levels of miR-425-5p and PTCH1 mRNA in cancer tissues of patients who survived and died were compared,and the optimal cutoff values of miR-425-5p and PTCH1 were obtained using the receiver operating characteristic(ROC)curve.The relationship between miR-425-5p,PTCH1 and prognosis was analyzed using the KM curve.Results The relative expression level of miR-425-5p in the cancerous tissue of patients with primary laryngeal cancer was 1.81±0.48,which was significantly higher than 1.08±0.23 in the adjacent tissue;the relative expression level of PTCH1 mRNA was 1.21±0.36,which was significantly lower than 1.63±0.41 in the adjacent tissue;the differences were statistically significant(P<0.05).The relative expression levels of miR-425-5p in stage Ⅲ to Ⅳ,lymph node metastasis,and low-differentiated cancer tissues were 1.97±0.46,2.09±0.42,and 2.14±0.46,respectively,which were significantly higher than 1.54±0.41,1.66±0.39,and 1.60±0.40 in stage Ⅰ to Ⅱ,no lymph node metastasis,and moderately differentiated cancer tissues;the relative expression levels of PTCH1 mRNA were 1.09±0.21,1.04±0.24,and 1.01±0.20,respectively,which were significantly lower than 1.42±0.25,1.30±0.27,and 1.34±0.23 in stage Ⅰ to Ⅱ,no lymph node metastasis,and moderately differentiated cancer tissues;the differences were statistically significant(P<0.05).Spearman analysis showed that miR-425-5p was positively correlated with clinical stage and lymph node metastasis(r=0.663,0.702,P<0.05)and negatively correlated with differentiation degree(r=-0.681,P<0.05).PTCH1 was negatively correlated with clinical stage and lymph node metastasis(r=-0.652,-0.711,P<0.05)and positively correlated with differentiation degree(r=0.694,P<0.05).The relative expression level of miR-425-5p in the cancer tissues of the deceased patients was 2.23±0.46,which was significantly higher than 1.67±0.38 in the cancer tissues of the survived;the relative expression level of PTCH1 mRNA was 0.96±0.21,which was signifi-cantly lower than 1.30±0.34 in the cancer tissues of the survived;the differences were statistically significant(P<0.05).ROC analysis results showed that the area under the curve(AUC)of miR-425-5p and PTCH1 for predicting death were 0.815(95%CI:0.727-0.884)and 0.792(95%CI:0.702-0.865),respectively,with the best cutoff values of 2.01 and 1.09,respectively.KM analysis showed that the 3-year survival rate of patients with high expression of miR-425-5p and low expression of PTCH1 was lower than that of patients with low expression of miR-425-5p and high expression of PTCH1,and the difference was statistically significant(P<0.05).Conclusion The expression of miR-425-5p is up-regulated in primary laryngeal cancer tissues,while PTCH1 expression is down-regulated.Combined detection has certain predictive value for prognosis,which can be used as an auxiliary indicator for clinical assessment of the disease and prediction of the prognosis in order to guide clinical work.
Primary laryngeal cancerMicroRNA-425-5pTransmembrane protein receptor Patched 1Patho-logical parametersPrognosis3-year survival ratePredict
万方数据
维普
