Correlation between the expression level of serum tRNA derived fragment tRF-17-79MP9PP and the prognosis of breast canc-er patients
Objective To investigate the expression level of serum tRNA derived tRF-17-79MP9PP(tRF-17)in patients with breast cancer and evaluate its correlation with the prognostic of the patients.Methods The serum samples were collected from 70 patients with breast cancer admitted to Jiangsu Cancer Hospital during June 2016 and December 2019 and 25 age-matched healthy women,and the clinical data of the patients were recorded.The expression level of serum tRF-17 was detected by real-time fluorescence quantitative PCR(qRT-PCR).The receiver operating characteristics(ROC)curve was used to evaluate the diagnosis value of tRF-17 in breast cancer patients.The correlations of tRF-17 with blood inflammatory indicators and tumor markers were analyzed by Spearman correlation analysis.The deadline for follow-up was April 2023.The factors influencing the prognosis of breast cancer were analyzed by the univari-ate and multivariate COX regression analysis.Results The expression levels of serum tRF-17 in breast cancer patients(3.99[0.70,10.46])were significantly lower than that in healthy controls(14.09[5.14,21.34],Z=-3.575,P＜0.01).The area under the ROC curve of tRF-17 for diagnosing breast cancer was 0.742(95％CI:0.635-0.849,P＜0.01).The average survival time of patients with high expression of tRF-17 was significantly higher than that of patients with low expression(75.97 months vs 56.06 months,log-rank P＜0.01).The COX proportional hazards model analysis showed that lymph node metastasis and the expression level of serum tRF-17 were independent risk factors affecting the prognosis of the patients(HR=1.723,95％Cl:1.084-2.739,P＜0.05;HR=0.189,95％CI:0.041-0.862,P＜0.05).Conclusion Serum tRF-17 is low expressed in breast cancer patients,and its expression level is an inde-pendent risk factor affecting the prognosis of breast cancer patients,which may be used as a biomarker to evaluate the prognosis of the patients.
万方数据
维普
