The Correlation Study Of Plasma Exosomal LncRNA H19?MALAT1 For Breast Cancer

bjective:to investigate the diagnostic value of plasma exosomal long non-coding RNA(lncRNA)H19?MALAT1 for breast cancer.so as to further understand the pathogenesis of breast cancer which may providing a theoreti-cal basis for early screening,diagnosis,prevention and molecular targeted therapy.Methods:From August 2016 to April 2017,50 patients were newly diagnosed with breast cancer in the Affiliated Hospital of Southwest Medical university.Before treated with surgery,radiotherapy or chemotherapy,the venous blood were drawed and collected.25 patients with bengin breast disease and 25healthy controls were selected from the physical examination center as control group during the same priod.the plasma exosomes were extracted from the venous blood.The purity OD value and integrity of RNA in plasma exosomes were tested by ultraviolet spectrophotometry,The long non-coding RNA H19levels and MALAT1 levels were measured by?sing quantitative real-time PCR(qRT-PCR).The SPSS20.0 software was used for statistical analysis to verify the difference expression of H19 and MALAT1.secondly,the correlation between plasma exosomal H19 or MALAT1 levels and clinical pathological characteristics of breast cancer were analyzed.Finally,50 patients with patients of breast cancer were treated as case gro?p.25 patients with bengin breast disease and25patients with healthy controls were treated as control group.and the re-ceiver operating characteristic(ROC)curve was used to evaluate the diagnostic value of plasma exosomal lncRNA H19 and MALAT1 in breast cancer and evaluate the value of long non-coding RNA(LncRNA)H19 and MALAT1 in the diagnoses of breast cancer.Results:1.The SPSS20.0 software was used for statitative analysis to verify H19of the three group.In plasma exosomes samples(?~2=64.277,P<0.001),it had more significantly statistical difference.The comparison results show that:(1)plasma exosomes group compared with benign breast disease,it was significantly different with statistical significance(Z=-5.162,P<0.001).(2)breast cancer exosomes group compared with healthy control group,it was signifi-cantly different with statistical significance(Z=-5.578,P<0.001).(3)The differ-ence between the benign breast group and healthy control group had not sta-tistical significance(Z=-1.504,P=0.133).The SPSS20.0 software was used for statitative analysis to verify MALAT1 of the three group.In plasma exosomes samples(?~2=10.245,P=0.006),it had more significantly statistical difference.The comparison results show that:(1)plasma exosomes group compared with benign breast disease,it was significantly different with statistical signifi-cance(Z=-2.877,P=0.004).(2)breast cancer exosomes group compared with healthy control group,it was significantly different with statistical signifi-cance(Z=-2.304,P=0.021).(3)The difference between the benign breast group and healthy control group had not statistical significance(Z=-0.262,P=0.793>0.05).2.50 cases breast cancer patients of pathological data showed that the expression level of plasma exosomal H19 in breast cancer patients re-late with the estrogen receptor(ER),progesterone receptor(PR),c-erbB-2,ki-67,P120 and lymph node metastasis(all P<0.05)and there was no correlation with age,pathological type and TNM stage.50 cases breast cancer patients of pathological data showed that the expression level of plasma exosomal MA-LAT1 in breast cancer patients relate with the estrogen recep-tor(ER),progesterone receptor(PR),c-erbB-2,ki-67and lymph node metasta-sis(all P<0.05)and there was no correlation with age,pathological type,p120and TNM stage.3.The area under the ROC curve H19(AUC)was0.882 and the sensitivity and specificity were 70%and 96%.The area under the ROC curve MALAT1(AUC)was 0.684 and the sensitivity and specificity were 84%and 52%,And the area under the ROC curve H19&MALAT1(AUC)was0.896 and the sensitivity and specificity were 74%and 92%.Conclusion:The plasma exosomal H19?MALAT1 can express steadily,and the plasma exosomal H19?MALAT1 may serve as a potential biomarker for breast cancer diagnosis and monitoring tumor dynamics.