Résumé
As is known to all, it is difficult for the quality control of herbs and products of Chinese materia medica (CMM) because of its complex composition and unstable source. Fingerprint technology is an effective process analysis tool, which can be used in the quality control of CMM. Among them, the electrochemical fingerprint method based on oscillatory chemistry is convenient, sensitive, and accurate, which has been used in qualitative and quantitative analysis and process quality control of CMM. In this paper, we reviewed the development history of oscillatory chemistry, the types of oscillatory systems, and the application of oscillatory chemical fingerprint in the quality control of herbs and products of CMM. Besides, the existing problems in data testing and analysis and the possible improvement direction have been introduced. The paper aimed to provide a new method or new idea for the scientific and systematical quality control of CMM.
Résumé
Objective@#To investigate the value of circulating miR-152 in the early prediction of postoperative biochemical recurrence of prostate cancer.@*METHODS@#Sixty-six cases of prostate cancer were included in this study, 35 with and 31 without biochemical recurrence within two years postoperatively, and another 31 healthy individuals were enrolled as normal controls. The relative expression levels of circulating miR-152 in the serum of the subjects were detected by qRT-PCR, its value in the early diagnosis of postoperative biochemical recurrence of prostate cancer was assessed by ROC curve analysis, and the correlation of its expression level with the clinicopathological parameters of the patients were analyzed.@*RESULTS@#The expression of circulating miR-152 was significantly lower in the serum of the prostate cancer patients than in the normal controls (t = －5.212, P = 0.001), and so was it in the patients with than in those without postoperative biochemical recurrence (t = －5.727, P = 0.001). The ROC curve for the value of miR-152 in the early prediction of postoperative biochemical recurrence of prostate cancer showed the area under the curve (AUC) to be 0.906 (95% CI: 0.809－0.964), with a sensitivity of 91.4% and a specificity of 80.6%. The expression level of miR-152 was correlated with the Gleason score, clinical stage of prostate cancer, biochemical recurrence, and bone metastasis (P 0.05).@*CONCLUSIONS@#The expression level of circulating miR-152 is significantly reduced in prostate cancer patients with biochemical recurrence after prostatectomy and could be a biomarker in the early prediction of postoperative biochemical recurrence of the malignancy.