Analysis on correlation between quantitative results and semi-quantitative scores from ultrasound elastography and distribution of myofibroblasts in breast tumor / 吉林大学学报(医学版)

Objective To investigate the correlation between the quantitative results,the semi-quantitative scores from ultrasound elastography and the distribution of myofibroblasts (MFS)in breast tumor,and to analyze the value of quantitative results and the semi-quantitative score from ultrasound elastography in the diagnosis of breast tumor.Methods Thirty eight patients with breast lesions underwent ultrasound elasticity examinations,tissue dispersion quantitative analysis technique was used to assess the 11 characteristic quantities and the corresponding strain ratios in all lesions,and the score of ultrasonic elastography was evaluated.38 cases were divided into benign and malignant group according to pathological diagnosis results.The expression levels of CD34 andα-SMA protein in breast tissue were examined by immunohistochemistry.The distribution patterns of MFS in breast tumor were analyzed. The correlation between the quantitative results, the semi-quantitative scores from ultrasound elastography and the distribution of MFS in breast tumor was studied.Results The expression level of CD34 in malignant group was significantly higher than that in benign group, while the expression level of α-SMA was significantly higher than that in benign group;the differences in the expression levels of CD34 andα-SMA between benign and malignant breast tumor patients were statistically significant (P 0.05).The α-SMA espression was positively correlated with kurtosis (r = 0.356 9,P = 0.027 8),skewness (r = 0.323 0,P =0.047 9),area ratio of low-strain region (r=0.382 0,P =0.021 6)and strain ratio (r=0.403 3,P =0.012 0). Conclusion The features and its scores of ultrasound elastography are correlated with the distribution of MFS in breast tumor,suggesting that the ultrasound elastography is very informative and helpful in the diagnosis of breast tumor.

Construction of protein profiling models for diagnosis of pancreatic carcinoma / 中华消化杂志

Objective To establish diagnostic models for pancreatic carcinoma(PC)and to find out the biomarkers related to PC.Methods Serum samples obtained from subjects including PC patients,pancreatic benign disease patients and normal controls were examined with strong anionic exchange chromatography(SAX2)chips for protein profiling using surface enhanced laser desorption/ionization-time of flight-mass spectrometry(SELDI-TOF-MS).The decision tree models and logistic regression models for evaluating the value of serum biomarkers were assessed.SELDI immunoassay and ELISA were used to identify the biomarker and its level in serum respectively.Results Twentysix mass peaks were different between PC patients and normal controls(P＜0.0 1)and 16 mass peaks were different between patients with PC and with pancreatic benign disease(P＜0.05).The decision tree model had a sensitivity of 83.3%and a specificity of 100.0%in differentiation of PC,which was better than that of CA19-9 by ROC curve.There were significant differences in 6 mass peaks among different stages of PC(P＜0.01).Logistic regression model showed a sensitivity of 81.6%and a specificity of 80.6%in diagnosis of early PC.The M/Z 28068 protein was identified as C14orf166 with a sensitivity of more than 82%and a specificity of more than 88%in diagnosis of PC.Conclusions The diagnostic models based on SELDI-TOF-MS were superior to CA19-9 in diagnosis of PC.The identified biomarker C14orf166 is expected to play a role in the diagnosis of PC.