Objective: To investigate the proliferation, adhesion, migration, invasion, and contraction capacities of carcinoma-associated fibroblasts (CAFs) in human breast cancer microenvironment. Methods: The protein expressions of fibronectin (FN), alpha-smooth-muscle actin (α-SMA) and fibroblast activation protein (FAP) were detected by Western blotting, so as to distinguish CAFs cells from normal fibroblasts (NFs). The proliferation of CAFs and NFs was detected by Roche xCellingence system, cell counting, and cell counting kit-8 (CCK-8) assay. The adhesion, migration, invasion and contraction capacities of CAFs were evaluated by the cell adhesion experiment, Roche xCellingence system, Transwell invasion assay and collagen gel contraction assay, respectively. Results: The primary CAFs and NFs cells which were isolated from human breast cancer grew in good condition with active proliferation. The linear types and trends of their growth curves were accorded with the cell growth characteristics. While compared with NFs, CAFs had a robust proliferation capacity, and the obviously stronger abilities of adhesion, migration, invasion, and contraction. Conclusion: There are prodigious differences of proliferation and migration between CAFs and NFs cells in human breast cancer microenvironment. CAFs have the stronger abilities of proliferation, adhesion, migration, invasion, and contraction than NFs. Copyright © 2013 by TUMOR.

PURPOSE: G-protein coupled estrogen receptor 1 (GPER) probably play important roles in the progression of breast cancer including endocrine therapeutic resistance. We evaluated GPER in primary breast cancers. METHODS: Immunohistochemistry was used to detect GPER in paraffin-embedded tissues of primary breast cancers from 423 patients and GPER expression was correlated with clinicopathological factors. RESULTS: GPER was expressed in 63.8% of specimens, coexpressed with estrogen receptor alpha (ERalpha) in 36.6% of tumors and was positive in 62.5% of the ERalpha-negative tumors. The expression of GPER had no relationship with the status of ERalpha, progesterone receptor and HER2. Although the expression of GPER was significantly inversely related with nodal status (p=0.045), no correlation between GPER expression and other clinicopathological variables (age, menstruation status, tumor size, stage, histologic grade, Nottingham Prognostic Index or pathological type) was found. CONCLUSION: GPER and ERalpha exhibited independent expression pattern of distribution in primary breast cancers. A long-term follow-up and a more definite molecular phenotype for ER are necessary in confirming studies.
Breast ; Breast Neoplasms ; Estrogen Receptor alpha ; Estrogens ; Female ; Follow-Up Studies ; GTP-Binding Proteins ; Humans ; Immunohistochemistry ; Menstruation ; Phenotype ; Receptors, Progesterone

Near-infrared spectroscopy(NIRS) combined with band screening method and modeling algorithm can be used to achieve the rapid and non-destructive detection of the traditional Chinese medicine(TCM) production process. This paper focused on the ginkgo leaf macroporous resin purification process, which is the key technology of Yinshen Tongluo Capsules, in order to achieve the rapid determination of quercetin, kaempferol and isorhamnetin in effluent. The abnormal spectrum was eliminated by Mahalanobis distance algorithm, and the data set was divided by the sample set partitioning method based on joint X-Y distances(SPXY). The key information bands were selected by synergy interval partial least squares(siPLS); based on that, competitive adaptive reweighted sampling(CARS), successive projections algorithm(SPA) and Monte Carlo uninformative variable(MC-UVE) were used to select wavelengths to obtain less but more critical variable data. With selected key variables as input, the quantitative analysis model was established by genetic algorithm joint extreme learning machine(GA-ELM) algorithm. The performance of the model was compared with that of partial least squares regression(PLSR). The results showed that the combination with siPLS-CARS-GA-ELM could achieve the optimal model performance with the minimum number of variables. The calibration set correlation coefficient R_c and the validation set correlation coefficient R_p of quercetin, kaempferol and isorhamnetin were all above 0.98. The root mean square error of calibration(RMSEC), the root mean square error of prediction(RMSEP) and the relative standard errors of prediction(RSEP) were 0.030 0, 0.029 2 and 8.88%, 0.041 4, 0.034 8 and 8.46%, 0.029 3, 0.027 1 and 10.10%, respectively. Compared with the PLSR me-thod, the performance of the GA-ELM model was greatly improved, which proved that NIRS combined with GA-ELM method has a great potential for rapid determination of effective components of TCM.
Algorithms ; Ginkgo biloba ; Least-Squares Analysis ; Plant Leaves ; Spectroscopy, Near-Infrared

Objective: To establish a dynamic syndromic surveillance system in the border areas of Yunnan Province based on information technology, evaluate its effectiveness and timeliness in the response to common communicable disease epidemics and improve the communicable disease prevention and control in border areas. Methods: Three border counties were selected for full coverage as study areas, and dynamic surveillance for 14 symptoms and 6 syndromes were conducted in medical institutions, the daily collection of information about students' school absence in primary schools and febrile illness in inbound people at border ports were conducted in these counties from January 2016 to February 2018 to establish an early warning system based on mobile phone and computer platform for a field experimental study. Results: With syndromes of rash, influenza-like illness and the numbers of primary school absence, the most common communicable disease events, such as hand foot and mouth disease, influenza and chickenpox, can be identified 1-5 days in advance by using EARS-3C and Kulldorff time-space scanning models with high sensitivity and specificity. The system is easy to use with strong security and feasibility. All the information and the warning alerts are released in the form of interactive charts and visual maps, which can facilitate the timely response. Conclusions: This system is highly effective and easy to operate in the detection of possible outbreaks of common communicable diseases in border areas in real time, so the timely and effective intervention can be conducted to reduce the risk of local and cross-border communicable disease outbreaks. It has practical application value.
Humans ; Influenza, Human ; Sentinel Surveillance ; Syndrome ; China ; Cell Phone