Objective To explore the value of dynamic contrast-enhanced MRI radiomics in predicting androgen receptor(AR)expression in breast cancer.Methods A total of 166 patients with pathological confirmed breast cancer and underwent dynamic con-trast-enhanced MRI were selected.All patients were randomly divided into training set(n=116)and test set(n=50)in a ratio of 7∶3.The 116 patients in the training set were divided into AR positive group(n=71)and AR negative group(n=45)according to the results of AR immunohistochemical.The clinical and radiomics prediction models were established by using the clinical data and radiomics characteristics of the patients,respectively.The combined prediction model was constructed by integrative both the Radiomics score(Radscore)and relevant clinical factors,and the prediction performance of the models was evaluated.Results The clinical model was 1.255+1.109×tumor diameter+0.801×lymph node metastasis+0.255×histological grade+0.215×TNM stage+0.226×estro-gen receptor(ER)+0.359×human epidermal growth factor receptor 2(HER-2)+0.311×Ki-67.The radiomics model was constructed based on the 5 potential predictors screened by least absolute shrinkage and selection operator(LASSO)model,Radscore=1.342+1.393×Orig_Shape_MAL+1.248×Wave_LHH_GLSZM_GLNU+0.888×Wave_HHH_GLDM_DE+0.714×Wave_HLL_FO_Minimum+1.138×Wave_HHH_FO_TE.The combined prediction model was 1.928+1.043×tumor diameter+1.012×lymph node metasta-sis+0.332×histological grade+0.309×TNM stage+1.059×ER+1.017×HER-2+0.893×Ki-67+1.259×Radscore.The receiver operating characteristic(ROC)curves showed that all of the three models had good prediction performance in both the training set and the test set.DeLong test showed that the area under the curve(AUC)of the combine model was significantly higher than that of the clinical and radiomics models in the training set and test set(P＜0.05).Calibration curve showed that the three models had good fitting effect in the training and test sets.The clinical deci-sion curve showed that the combine model had higher clinical practical value than the other two models both in the training set and test set.Conclusion The combined prediction model constructed by dynamic contrast-enhanced MRI radiomics and clinical characteristic can be used to predict AR expression and has high clinical application value.

Objective To explore the value of dynamic contrast-enhanced MRI radiomics in predicting androgen receptor(AR)expression in breast cancer.Methods A total of 166 patients with pathological confirmed breast cancer and underwent dynamic con-trast-enhanced MRI were selected.All patients were randomly divided into training set(n=116)and test set(n=50)in a ratio of 7∶3.The 116 patients in the training set were divided into AR positive group(n=71)and AR negative group(n=45)according to the results of AR immunohistochemical.The clinical and radiomics prediction models were established by using the clinical data and radiomics characteristics of the patients,respectively.The combined prediction model was constructed by integrative both the Radiomics score(Radscore)and relevant clinical factors,and the prediction performance of the models was evaluated.Results The clinical model was 1.255+1.109×tumor diameter+0.801×lymph node metastasis+0.255×histological grade+0.215×TNM stage+0.226×estro-gen receptor(ER)+0.359×human epidermal growth factor receptor 2(HER-2)+0.311×Ki-67.The radiomics model was constructed based on the 5 potential predictors screened by least absolute shrinkage and selection operator(LASSO)model,Radscore=1.342+1.393×Orig_Shape_MAL+1.248×Wave_LHH_GLSZM_GLNU+0.888×Wave_HHH_GLDM_DE+0.714×Wave_HLL_FO_Minimum+1.138×Wave_HHH_FO_TE.The combined prediction model was 1.928+1.043×tumor diameter+1.012×lymph node metasta-sis+0.332×histological grade+0.309×TNM stage+1.059×ER+1.017×HER-2+0.893×Ki-67+1.259×Radscore.The receiver operating characteristic(ROC)curves showed that all of the three models had good prediction performance in both the training set and the test set.DeLong test showed that the area under the curve(AUC)of the combine model was significantly higher than that of the clinical and radiomics models in the training set and test set(P＜0.05).Calibration curve showed that the three models had good fitting effect in the training and test sets.The clinical deci-sion curve showed that the combine model had higher clinical practical value than the other two models both in the training set and test set.Conclusion The combined prediction model constructed by dynamic contrast-enhanced MRI radiomics and clinical characteristic can be used to predict AR expression and has high clinical application value.

Clustered regularly interspaced short palindromic repeats (CRISPR) is an acquired immune system existing in archaea and bacteria with the long-term process of evolutionary.CRISPR/Cas9 gene editing system is a new type of gene editing technology developed based on the system.CRISPR/Cas9 is a more efficient method for gene targeting than the previous methods.It has been successfully applied for gene-modified of eukaryotes since 2012,but the reports about pathogenic microorgaisms are rarely.Here,the research progress in the structure,mechanism of CRISPR/Cas9 system and its applications on pathogenic microorgaisms is reviewed.

Objective To investigated cerebral structural connectivity and its relationship to neuroleptic-na?ve individuals with first episode early-onset schizophrenia using diffusion tensor imaging (DTI) which could demonstrate the white matter integrity . Methods We recruited subjects with first episode DSM-Ⅳearly-onset schizophrenia who had never been exposed to antipsychotic medication(n=19) and sex ,age-matched healthy volunteers (n= 19) .All subjects received DTI and structural magnetic resonance imaging scans .Voxel-based analysis was performed to investigate brain regions fractional anisotropy (FA) values .Results Statistics revealed that schizophrenia patients showed significant FA reduction in left inferior frontal gyrus ,left temporal gyrus ,left occipital lobe and right middle temporal gyrus as compared to healthy subjects .Conclusion Deficits of white matter integrity in widespread brain regions of the first episode neuroleptic-na?ve early-onset schizophrenia patients .The presence of white matter abnormalities in the early-onset patients is suggestive of being related to the etilology of schizophrenia .