Biochemistry and molecular biology is one of the most important professional basic courses for students in medical universities.Constructing scientific teaching quality control system for biochemistry and molecular biology is essential for improving its teaching quality.This paper discussed on some principles needed to be followed in constructing the teaching quality control system for biochemistry and molecular biology in medical universities and elucidated the three leveled frame of this system including university,college and department.This paper also illuminated on the main contents,implementation,organization system,evaluation system and incentive measures of this teaching quality control system.

Objective:To establish the prediction model of postoperative Gleason score (GS) risk of prostatic cancer (PCa), and to compare the diagnostic efficacy of the model and each independent risk factor for PCa medium-high risk group.Methods:The clinical data of 362 patients who accepted transrectal prostate biopsy in the Run Run Shaw Hospital Affiliated to Zhejiang University School of Medicine from January 2018 to December 2019 were analyzed retrospectively, and a total of 343 patients with prostate cancer who met the enrollment criteria were selected. According to the GS grading system, these patients were divided into low risk group, moderate risk group and high risk group. At first, the single factor analysis and Spearman rank correlation were used to find out the effective indicators with good correlation with GS risk. Then, multiple linear regression equation was applied for multi-factor analysis to obtain the independent risk factors and the prediction model for predicting GS risk, and then the ROC curve was used to compare the diagnostic efficacy of each independent risk factor and prediction model for PCa medium-high risk group.Results:In the single factor analysis, the differences of all indicators in GS risk were statistically significant (all P<0.05). In the correlation analysis with GS risk, except for the indicators of prostate volume (all P>0.05), the other indexes had linear correlations with the different risks of GS (all P<0.05). Among them, the total prostate specific antigen and two-dimensional ultrasound (2D-US) score showed moderate positive correlations( rs=0.402, 0.579, all P<0.001), contrast enhanced ultrasound (CEUS) score showed a high positive correlation ( rs=0.709, P<0.001), and the rest indexes showed low positive correlations. Multiple linear regression was used to obtain two independent risk factors of 2D-US score ( X1) and CEUS score ( X2) for the prediction of GS risk, then, a prediction model was established: Y=0.863+ 0.066 X1+ 0.27 X2, the corresponding linear coefficient differences were statistically significant(all P<0.05). By the ROC analysis, the areas under the curves of 2D-US score, CEUS score and the prediction model were 0.838, 0.906 and 0.907, respectively. Conclusions:2D-US score and CEUS score are independent risk factors for predicting postoperative GS risk, and the diagnostic efficacy of the prediction model is higher than those of the 2D-US score and CEUS score for the medium-high risk group.

Objective To observe the effect and the mechanisms of ferulic acid on radiationinduced damage of mice peripheral blood and bone marrow hematopoietic function.Methods Ninety-six mice were randomly divided into sham irradiation group,irradiation group,positive drug group and 10,30,90 mg·kg-1 ·d-1 ferulic acid group,16 mice per group.Mice were exposed to 3.5 Gy γ-rays 24 h after first drug taken.Then,mice were given drugs for 7 d after irradiation.White blood cells in peripheral blood of 10 mice per group were counted 2 d before irradiation and 3,7,10,15 and 22 days after irradiation.The bone narrow of the other six mice was taken to detect the micronuclei frequency of polychromatic erythrocyte,the hematopoietic progenitor cell colony formation capacity,Thbd and HMGB1 protein expressions in mice bone marrow on the seventh day after irradiation.Results Compared with the irradiation alone group,the treatment of mice with ferulic acid 90 mg· kg-1 · d-1 increased the number of white blood cells in peripheral blood at 3,10,15 and 22 d after irradiation (t =2.267,2.399,1.945,2.828,P ＜ 0.05).Treatment with mice with ferulic acid 90 mg· kg-1 · d 1 decreased the micronuclei rate of erythrocytes in irradiated bone marrow (t =4.013,P ＜ 0.05),increased the clone numbers of CFU-E,BFU-E and CFU-GM of hematopoietic progenitor cells (t =2.366,2.953,3.115,P ＜0.05),improved the relative expression of the Thbd protein in bone marrow and the HMGB1 protein in nuclear (t =17.75,23.39,P ＜ 0.01).Conclusions Ferulilc acid could protect the bone marrow hematopoietic of mice exposed to irradiation by regulating the expressions of Thbd and HMGB1 protein,and then accelerate the peripheral cells recovery.

Objective:To establish a predictive model of lateral lymph node metastasis in patients with papillary thyroid carcinoma(PTC), and further to compare the diagnostic efficiency of this model with the suspected abnormal lymph node thyroglobulin in fine-needle aspirate fluid (FNA-Tg) for lateral lymph node metastasis.Methods:The preoperative clinical and ultrasonographic data of 110 patients (257 lymph nodes) who underwent PTC cervical lymph node dissection were retrospectively analyzed. According to the postoperative pathological results, they were divided into lateral lymph node metastasis and non-metastasis group. Regression analysis was used to screen out independent risk factors affecting lateral lymph node metastasis and establish a predictive model. The ROC curve was used to evaluate the diagnostic efficacy and the best diagnostic cut-off point.Results:Prediction model: Logit( P)=-2.987+ 2.189(S/L ratio of lymph nodes)+ 1.748(hilum absent)+ 2.030(hyperechoic)+ 1.849(vascular abnormalities). The sensitivity, specificity, accuracy and AUC of the prediction model in the diagnosis of lateral lymph node metastasis were 92.1%, 83.9%, 87.9% and 0.929, respectively. The Homser-Lemeshow goodness of fit test showed that the Logistic model has a good fitting effect. The sensitivity, specificity, accuracy, and AUC of FNA-Tg in the diagnosis of lateral lymph node metastasis were 87.4%, 95.4%, 90.3% and 0.968, respectively. The sensitivity, specificity, accuracy, and AUC of the combined diagnosis of the predictive model and FNA-Tg were 92.9%, 96.9%, 94.2% and 0.989, respectively. Conclusions:The model has a good predictive value for PTC cervical lymph node metastasis. Combined with FNA-Tg, it can improve its diagnostic efficiency and provide more valuable information for the decision-making of clinical surgical procedures.