Objective To explore the value of retinoblastoma binding protein 4 ( RBBP4 ) in diagnosing prostate cancer ( PCa).Methods From January 2015 to December 2015, the prostate tissue after prostatectomy were collected and the differentially expressed degree of RBBP4 protein was analyzed in PCa and adjacent tissues by 2D-DIGE technology.The RBBP4 score of prostate tissue chip which contains 3 normal prostate tissues, 7 cancer adjacent normal prostate tissues, 50 adenocarcinoma and 20 hyperplasia tissue was checked by immunohistochemistry( IHC).In 50 patients with PCa, 4 cases were less than 60 years old and 46 cases were more than 60 years.In those patients, the Gleason scores were less than 7 scores in 18 cases, and more than 7 scores in 30 cases.22 cases were confirmed less than Ⅱ stage, and 28 cases were confirmed more than Ⅲ stage.Finally, the RBBP4 IHC score and the clinic-pathological parameters such as age, Gleason score and clinical stage of PCa patients were analyzed together.Results We found that the protein of RBBP4 increased by 2.15 times in PCa tissues compared to adjacent tissues by using 2D-DIGE technology( P=0.008).The expression of RBBP4 was higher than that in benign tissues by IHC ( F=43.972,P=0.000).And the expression of RBBP4 was positive correlation with Gleason score( t=5.589, P=0.000) and clinical stage(t=5.620,P=0.000), but was negative correlation with age(t=1.125,P=0.266).Conclusions The detection of RBBP4 can help to separate PCa from benign tissues.The overexpression of RBBP4 might result in the rapid growth of malignant cells.It may have certain value in determine the clinical staging and pathological grading of PCa.

Objective: To explore the relation of the serum level of sIL-2R in relapse patients with acute lymphoblastic leukemia(ALL). Methods:With ELISA, we determined the levels of sIL-2R of 48 patients with ALL after their first diagnoses,complete remission 1 and relapse. The levels of sIL-2R of 30 patients from complete remission 1 to relapse were monitored. Results: The levels of sIL-2R were higher in the relapse group and first diagnosed group than in the control. The levels of sIL-2R were higher in the relapse group and first diagnosed group than in the complete remission 1 group. However,the difference between the complete remission 1 and the control had no statistical significance. When we determined the levels of sIL-2R dynamically, we found that after complete remission ,the levels of sIL-2R decreased,however, before one month of hematological relapse, the levels of sIL-2R increased. Conclusion: Monitor of the level of sIL-2R can predict impending relapse of patients with ALL and is helpful to early diagnosis of relapse.

Objective We used the dataset base on high throughput sequencing data to construct a diagnosis model by ANN and GA.Methods We screened the Taylor_prostate datasets from GEO according to,then we used the GA to screen the datas further. Finally we used the ANN to analyze the datas and construct a diagnosis model. To validate the model,we used 10-folds crossvalidation as the inner validation and the datas from Grasso dataset( GPL6480 and GPL6848) were used as the outter validation.Results We got 5 genes ACADL,ACTG2, CACNA2D1,PCP4 and SPARCL1.And we used spss to get the AUC of the model which is 94.62.The result of validation is good.Conclusion The performance of the model is good because the AUC is larger than 0.5.