The Suppressive Effect of Carthamin Yellow on the Proliferation and Migration of Human Breast Cancer Cells and Its Related Molecular Mechanisms / 昆明医科大学学报

Objective To study the effect of Carthamin Yellow (CY) on cell proliferation, apoptosis, migration and invasion ability of breast cancer and its related molecular mechanisms. Methods CCK-8 assay was used to detect cell viability of MDA-MB-231 human breast cancer cells by different concentrations of CY at different time;flow cytometry was used to test the apoptosis rate of MDA-MB-231 cells treated by different concentrations of CY and transwell assay was used to investigate the effect of various concentrations of CY on MDA-MB-231 cell migration and invasion.After the intervention of different concentrations of CY on MDA-MB-231 cells, apoptosis-related protein Cleaved-Caspase-3, survival protein p-Akt and metastasis-related protein MMP2 were detected by western blot. Results (1) CY could inhibit the proliferation of MDA-MB-231 cells in a dose-and-time-dependent manner. (2) CY significantly promoted the apoptosis of breast cancer cells ( <0.01) . (3) CY could decrease the expression of p-Akt and increase the expression of Cleaved-Caspase-3. (4) CY impaired migration and invasion of MDA-MB-231 cells ( <0.01), and can inhibit the expression of MMP2. Conclusion CY could promote the apoptosis of breast cancer cells through activation of apoptosis signaling, and can inhibit breast cancer cell metastasis by suppressing MMP2. And CY may be a potential therapeutic drug for human breast cancer.

A probability model for analyzing speckles in intravascular ultrasound images to facilitate image segmentation / 南方医科大学学报

Ultrasonic image speckles result from the interference of the reflected signals by the scatters in the detected tissue. The physical characteristics of the speckles are closely correlated with the structures of the biological tissues, and the probability distribution of these speckles differs across different tissues. Based on the probability characteristics of intravascular ultrasound (IVUS) speckles, a Gamma mixture model and Gaussian mixture model are proposed to describe the calcified plaque, soft plaque and normal vascular regions on IVUS images. Using KS test, KL divergence and correlation coefficient analysis, we found that the probability distributions of the speckles generated by calcified plaques and normal blood vessels were better described by the Gaussian mixture model, while the speckles caused by soft plaques were described better by the Gamma mixture model. Based on this finding, we propose a probability mixture model combining neighborhood information for plaque segmentation on IVUS images. Compared with the existing probabilistic mixture model, the segmentation accuracy was greatly improved with a reduced noise.