Researches have indicated that matrix metalloproteinases (MMP) and vascular endothelial growth factors (VEGF) play a key role in the metastasis of nasopharynx carcinoma (NPC). They promote tumor cell infiltration and metastasis by proteolysis of extracellular matrix proteolysis of tumor cells and induction of angiogenesis and lymphangioenesis. Researches on the mechanism of MMPs and VEGFs on NPC may help to further understand the metastasis of NPC and develop new methods for the diagnosis and treatment of NPC and other tumors as well.

Objective To identify the significance of neuropsychological single-item scales in the diagnosis of mild cognitive impairment (MCI) and Alzheimer's disease (AD).Methods A total of 676 elderly people living around Dongzhimen district in Beijing were recruited using multistage sampling method.Cognitive function was assessed by minimum mental state examination (MMSE)and other scales.MCI was diagnosed based on the criteria proposed by Petersen (1999),and AD was diagnosed based on the NINCDS-ADRDA.Subjects were divided into normal cognitive group (n=213 cases,31.5％),Alzheimer's disease (AD) group (n=167 cases,24.7％),amnestic mild cognitive impairment (aMCI) group (n=186 cases,27.5 ％) and non-AD dementia group (110 cases,16.3 ％).Results The MMSE scores in AD,aMCI and normal groups were 23.0 ± 5.9,25.9±2.6,8.1 ± 1.7,respectively.There were significant differences in MMSE scores between AD,aMCI and NC groups separately (all P＜0.01).Compared with MCI and NC group,th scores of time orientation,attention,calculation and immediate recall and delayed recall were significantly decreased in AD group (all P＜0.01).Comparing with normal group,the scores of attention and calculation were reduced in aMCI group (both P＜0.01).The delayed story recall (DSR) scores in AD,aMCI and NC groups were 15.7 ± 11.7,7.6 ± 4.9,26.5 ± 9.3,respectively.There were significant differences in mean DSR scores between AD,aMCI and NC groups separately (all P＜0.01).Compared with normal group,the clinical dementia rating (CDR) scores were higher and the mean clock drawing task (CDT)scores were lower in AD and aMCI groups (both P＜0.01).Conclusions Both neuropsychological assessment tools such as MMSE and single-item scales such as delayed story recall have the certain significance in the diagnosis of MCI and AD.

Objective To investigate the risk factors for mild cognitive impairment (MCI) in elderly people in Beijing.Methods Using multistage cluster random sampling,129 elderly people aged 60-80 years living around Dongzhimen communities were interviewed by mini-mental state examination (MMSE) and National Institute of Neurological and Communicative Diseases and Stroke/ Alzheimer's Disease and Related Disorders Association (NINCDS-ADRDA) criteria for screening MCI and Alzheimer's disease (AD).Results Thirty-seven cases (28.7%) had amnestic MCI (aMCI),thirty-six cases (27.9%) had AD,and fifty-six cases (43.4%) were with normal cognitive state (NCS).The age was older in aMCI patients or AD patients than in NCS[(67.6±7.5)y vs.(62.5±7.9)y,(67.6±7.5)y vs.(62.5±7.9)y,both P<0.01],Andthe aMCI or AD patients had low level of education (P<0.05).The blood pressure was higher in the patients suffered from aMCI or AD than in people with NCS more or less (P<0.05).The prevalence of aMCI was related to the body mass index (BMI) (P<0.05),while that of AD had no significant relation with BMI (P>0.05).The prevalence of aMCI or AD was not significantly different between male and female or between different birth months.(all P>0.05).Conclusions The prevalence of aMCI increases with age,lower level of education,higher level of blood pressure and BMI,while it has no significant relations with gender or birth month.

Objective: To investigate the biological phenotype and cell cycle distribution characteristics of nasal and/or nasopharyngeal epithelia of TgN(p53mt-LMP1)/HT mice.Methods: The biological phenotype changes(mainly the incidence of precancerous lesion) in nasal and nasopharyngeal epithelial tissues of the generation G4 of TgN(p53mt-LMP1)/HT mice aged 5,11,15 and 18 months were determined by H-E staining,and the cell cycle characteristics of nasal and nasopharyngeal epithelia detected by flow cytometry(FCM).Results: The incidences of precancerous lesion in the nasal and nasopharyngeal epithelia were 0,50%,60% and 75% respectively in the 5,11,15 and 18 mos groups of the positively expressed transgenic mice,and 0 in the four age groups of the negatively expressed ones.Compared with the negatively expressed transgenic mice,the number of nasal or nasopharyngeal epithelial cells was markedly decreased in the G0/G1 phase,but obviously increased in the S and G2/M phases,with the proliferation index(PI) significantly enhanced(P

Objective To explore the application of serum SELDI proteomic patterns to screen breast cancer biomarkers.Methods Serum protein profiles of 110 breast cancer patients and 100 healthy controls were analyzed with surface-enhanced laser desorption/ionization time-of-flight mass spectrometry (SELDI-TOFMS).The spectra were generated on weak cation exchange (WCX2) chips and protein peaks clustering and classification analyses were made using Biomaker Wizard software.Differences in protein intensity between breast cancer cases and controls were measured with the Mann-Whitney U test and adjusted for confounding in a multivariate logistic regression model.Results Forty-nine of these proteins were found to have statistically differential expression levels between breast cancer and normal control sera (P ＜ 0.05).Based on literatures reported,six protein biomarkers,with mass-to-charge ratio (M/Z) (4376,8126,8924,3264,3968,and 9180) were selected.Proteins with M/Z 4376,4126,and 8924 were statistically significantly decreased in breast cancer cases compared to those in healthy controls (P ＜ 0.05).Proteins with M/Z 3264,3968,and 9180 were significantly increased in breast cancer cases compared to those in healthy controls,Protein with M/Z 9180 was associated with TNM stage and Her-2 expression in breast cancer (P ＜ 0.05).Protein with M/Z 8926 was related with lymph node metastasis (P ＜0.05).Conclusion These results suggest that serum SELDI protein profiling can distinguish breast cancer patients from normal subjects with relatively high sensitivity and specificity.SELDI-TOF-MS plays a valuable role in the diagnosis of breast cancer and the discovery of new tumor-specific protein biomarkers.

This study was aimed to analyze the bioinformatics of proteomics of rat bone marrow mesenchymal stem cells (MSCs) intervened by active principle region of Yang-Xin Tong-Mai Formula (apr-YTF). The latest versions of bioinformatics tools including DAVID (http://david.abcc.ncifcrf.gov/) and GO (http://www.geneontology.org/) were combined to assign a precise function to rat bone marrow MSCs intervened by apr-YTF. KEGG and VISANT were assigned with a precise function to rat bone marrow MSCs intervened by apr-YTF. The results showed that a total of 102 biological processes were mainly involved, with 35 cellular components and 6 molecular functions. These proteins interacted in 3 signal transduction pathways. It was concluded that the following proteins and signal transduction pathways played an important role in the process of apr-YTF inducing BMSCs differentiation into cardiomyocytes. Presenilin-1 and Presenilin-2 were in the Notch signaling pathway. And syntaxin-4 protein was in soluble N-ethylmaleimide sensitive fusion protein attachment protein (SNARE). The apr-YTF played a role on MSCs from multiple sites, with multiple links through different biological processes. The bioinformatics of proteomics can predict action mechanism of traditional Chinese medicine (TCM) from the holism concept. The validation in combination with molecularbiology was a good way for TCM modernization.

Objective To explore the application of serum SELDI proteomic patterns to distinguish breast cancer patients from healthy individuals.Methods All serum samples from 101 breast cancer patients and 45 healthy individuals were analyzed by surface-enhanced laser desorption/ionization time-of-fight mass spectrometry (SELDI-TOF-MS).The spectra were generated on weak cation exchange (WCX2) chips,and protein peaks clustering and classification analysis were made using Biomaker Wizard software and Biomarker Pattern software (BPS).Then the pattern was evaluated by blinded test.Results 49 different proteins were found to have statistically differential expression levels between breast cancer and normal control sera (P ＜ 0.05).A diagnostic model consisting of three protein peaks (M/Z 5627,8124 and 2864) could do the best in the diagnosis between breast cancer and healthy individual.When the diagnostic model was tested with the blinded test set,it yielded a positive value of 95 ％ (139/146),a sensitivity of 97 ％ (98/101) and a specificity of 91％ (41/45).Conclusion These results suggested that serum SELDI protein profiling can distinguish breast cancer patients from normal subjects with relatively high sensitivity and specificity.SELDI-TOF-MS plays a valuable role in the diagnosis of breast cancer and the discovery of new tumor-specific protein biomarkers.

Decision-making aid for cancer patients is of great significance in the diagnosis and treatment for diseases. Breast cancer is one of the most common malignant tumors in women all over the world, and breast cancer patients have become the main target population for decision-aided research. Application of decision-making assistance for patients in Western countries has developed to a certain extent, while relevant research in China is still at the early stage. There are kinds of intervention forms for patients' decision aids, including traditional brochures and videos, decision aids systems, decision coaching, multidisciplinary breast cancer teams, etc. The tools for decision-making quality evaluation include the patients' awareness for decision-making, participation, decision-making conflict, decision-making satisfaction, decision-making regret, which can provide important guidance for the application of decision-making aid treatment in breast cancer patients in the future.
Breast Neoplasms/therapy* ; China ; Decision Making ; Emotions ; Female ; Humans ; Personal Satisfaction