CCAAT-Enhancer-Binding Proteins ; genetics ; Cytogenetic Analysis ; Cytogenetics ; methods ; Extremities ; Humans ; Liposarcoma ; etiology ; genetics ; Liposarcoma, Myxoid ; etiology ; genetics ; Molecular Biology ; methods ; Oncogene Proteins, Fusion ; genetics ; RNA-Binding Protein FUS ; genetics ; Retroperitoneal Neoplasms ; etiology ; genetics ; Ring Chromosomes ; Soft Tissue Neoplasms ; etiology ; genetics ; Transcription Factor CHOP ; Translocation, Genetic

Objective To develop a PCR-SSP method for detection of HLA-DRB1 alleles in the patients who were hypersensitive to Platanus Acerifolia pollen allergen,and to probe into the association between the atopic subjects to Platanus Acerifolia pollen allergen and HLA-DRB1 alleles.Methods DNA in whole blood was extracted by phenol-chloroform method.Eight pairs of specific primers for alleles were synthesized,and HLA-DRB1*0401,*0402,*0403,*0404,*0405,*0406,*0407,*0408 alleles in 20 atopic patients and 36 healthy individuals of Jiangsu Province with Han nationality were detected by PCR-SSP(polymerase chain reaction-sequence specific primer).Results By optimizing the experimental conditions PCR-SSP methods for detection of the 8 alleles were established and the distributing data of above-mentioned HLA DRB1 were obtained.The frequency of HLA DRB1*0405 and *0406 in the patients group was higher than that of in healthy controls group,while the frequency of HLA DRB1*0402 in the patients group was lower than that in controls.No significant deference for the other 5 alleles was found between the 2 groups.Conclusion HLA-DRB1*0406和*0405 seems to be the likely suspected candidate alleles responsible for susceptibility to Platanus Acerifolia pollen allergen in the atopic patients,while DRB1*0402 might be contribute to the related resistance to the allergen.

Adolescent ; Adult ; CD57 Antigens ; metabolism ; Diagnosis, Differential ; Female ; Glial Fibrillary Acidic Protein ; metabolism ; Humans ; Male ; Middle Aged ; Neurilemmoma ; metabolism ; pathology ; Pelvic Neoplasms ; metabolism ; pathology ; Peripheral Nervous System Neoplasms ; metabolism ; pathology ; Retroperitoneal Neoplasms ; metabolism ; pathology ; S100 Proteins ; metabolism

Objective:To study the relationship of Guangxi Zhuang women being infected by HPV16 and suffering from cervical cancer with HLA-DQB1 allele polymorphism.Provide clues for seeking hereditary susceptibility gene or resistant gene of cervical cancer of Guangxi Zhuang women.Methods:Chose the cervical cancer diagnosed female patients and health women 171 cases respectively aged between 25 and 45 of Guangxi as subject investigated(people in the two groups were paired by age ±3 years).Took their samples to extract HPV DNA and human genome DNA.Then detected HLA-DQB1 alleles and HPV genetype applying PCR-SSP and molecular diversion hybrid technology.Finally the data were statistically analyzed.Results:(1)The total infection rate of HPV in 171 cases of cervical cancer patient was 91.22%,in which the high-risk virus accounted for 90.76%,HPV16 was the main pathogenic subtypes(43.58%).(2)The allele carrying rate of HLA-DQB1*04 in the cervical cancer group was higher than the health control group with statistically significant difference(P<0.05).The allele carrying rate of HLA-DQB1*06/09 in the cervical cancer group was lower than the health control group with statistically significant difference(P<0.05).There was no significant difference of the allele carrying rate of HLA-DQB1*02/05/07/08 between two groups(P>0.05).(3)The occurrence frequency of HLA-DQB1*04 alleles in HPV16 positive cervical cancer patients was significantly higher than HPV16 negative patients with statistically significant difference(P<0.05).Conclusion:HLA-DQB1*04 alleles are probably the susceptibility genes of cervical cancer of Guangxi Zhuang women;HLA-DQB1*06/09 alleles are probably the protective genes of cervical cancer of Guangxi zhuang women;HLA-DQB1*02/05/07/08 alleles seem irrelevant to hereditary susceptibility of cervical cancer of Guangxi Zhuang women.And Guangxi Zhuang women carried HLA-DQB1*04 alleles are more likely to infect HPV16 that increase the risk of cervical cancer.

0.05).The activity of Na~+-K~+ ATPase in SMO group was significantly higher than that in HTK group at 72 h(P

Adult ; Base Sequence ; DNA, Neoplasm ; genetics ; Exons ; Female ; Humans ; Liposarcoma ; genetics ; Liposarcoma, Myxoid ; genetics ; Male ; Middle Aged ; Molecular Sequence Data ; Oncogene Proteins, Fusion ; genetics ; Polymerase Chain Reaction ; methods ; RNA-Binding Protein EWS ; genetics ; RNA-Binding Protein FUS ; genetics ; Sequence Analysis, DNA ; Transcription Factor CHOP ; genetics ; Translocation, Genetic

Adult ; B-Lymphocytes ; pathology ; Female ; Humans ; Lymphoma, B-Cell ; pathology ; Stomach Neoplasms ; pathology

Carcinoma ; genetics ; metabolism ; pathology ; surgery ; China ; Humans ; Male ; Oncogene Proteins, Fusion ; genetics ; Prostatic Hyperplasia ; genetics ; metabolism ; pathology ; surgery ; Prostatic Neoplasms ; genetics ; metabolism ; pathology ; surgery ; Proto-Oncogene Proteins c-ets ; genetics ; metabolism ; Reverse Transcriptase Polymerase Chain Reaction ; Serine Endopeptidases ; genetics ; metabolism

Objective To investigate natural spontaneous menopausal age , menstruation span and their relationship with menarche age and parity in Pudong district of Shanghai. Methods From Jan 2007 to Jul 2008, 15 083 spontaneous menopause women undergoing cervical cancer screening were enrolled in this study. The questionnaire included menarche age, parity, spontaneous menopausal age and menstruation span. Those women were divided into four groups based on age, which were group of 56 -60, 61 -65, 66 -70 and more than 70. Analysis of variance (ANOVA) was used for comparing difference between menopausal age and menstruation span. Multiple factor regressions was used to analyze the relationship between menarche age, parity and menopausal age and menstruation span. Results (1) Spontaneous menopausal age: the minimum was 29 years old, the maximum was 61 years old, and the mean age was (50.6 ±3.7)years old. The mean spontaneous menopause age were (50.9 ± 3.4), ( 50.7 ± 3.7 ), (50.0 ± 4.1 ), (49.6 ±4.0) years in groups of 56 -60, 61 -65, 66 -70 and more than 70 years. With the increasing age range in four groups, the increasing trends of menopausal age were observed, which the difference of 1.36 year was shown between groups of 56 - 60 and more than 70 years. (2) Menstruation span: the mean of menstruation span was (34.3 ± 4.1 ) years, which the minimal age of 12 years and maximal age of 48 years were recorded. (34.6 ± 3.8), (34.3 ± 4.1 ), (33.9 ± 4.6), (33.2 ± 4. 5) were observed in groups of 56 - 60,61 -65, 66 -70 and more than 70 years. With the increasing age range in four groups, the increasing trends of menstruation span were observed, which the difference of 1.41 year was shown between groups of 56 –60 and more than 70 years. (3)The impact of menarche age on menopausal age and menstruation span: there was no correlation between menarche age and menopausal age ( r = 0.02); however, menstruation span was found to be negatively correlated with the menarche age ( r = - 0.43 ). (4) The impact of parity on menopausal age and menstruation span: the mean menopausal age of women who had 1 -2 deliveries was significantly higher than those had no delivery or more than 3 deliveries ( P < 0.05 ). However, there was no difference in menopausal age between women with 1 and 2 deliveries or between women without delivery and more than 3 deliveries (P > 0.05). Menstruation span of women with 1 delivery was significantly longer that those with more than 1 delivery( P < 0.05 ), similarly, women with 2 deliveries had longer menstruation span than women without delivery or more than 3 deliveries(P < 0.05 ). There were no difference in menstruation span between women with more than 3 deliveries and without delivery ( P >0.05 ). (5) Multifactor regression analysis for menstruation span: menarche age was correlated with menstruation span negatively ( r = - 0.97,P <0.001 ). There was significantly different menstruation span between group of 61 -65, 66 -70 or more than 70 years and group of 56-60 (r= -0. 18, P=0.020; r= -0.78,P <0.001 and r= - 1.23,P<0.001). Menstruation span in women with 1 -2 deliveries was significantly longer than that of women without delivery or more than 3 deliveries. (6)Multifactor logistic analysis of menopausal age: there was no association between menarche age and menopausal age, however, significant differences were found in mean menopausal age between different groups, which show that menopausal age of group 56 - 60 years was significant higher than the other groups, including age-group 61 -65 years ,66 -70 years and over 70 years ( r = - 0.18, P = 0.020; r = - 0.78,P < 0.001; r = - 1.23, P < 0.001 ). Menopausal age in women with 1 - 2 deliveries was significantly higher than those of women without delivery or with more than 3 deliveries,however, no difference between women with 1 and 2 deliveries or between women without deliveries and more than 3 deliveries was observed. Conclusion (1) Menopausal age and menstruation span exhibited increasing trends in Pudong district of Shanghai. (2) Menarche age and parity were the important factors influencing menopausal age and menstruation span. (3) With younger age of menarche, the menstruation span become longer. (4) Deliveries of 1 -2 times can significantly delay the menopause and prolong menstruation span, however, the multiple deliveries ( ≥ 3 times) had no significant impact on menopausal age and menstruation span.

Objective To survey age of menarehe in Pudong district in Shanghai. Methods Data in this study were derived from 56 924 women at age of 20 -81 years in screening for cervical cancer between January 2007 and July 2008 in Pudong district. The age of menarche were recorded in a questionnaire. To investigate the trends in age at menarehe in different socioeconomic status, the subjects were divided into 12 groups in 5-year birth cohorts. The mean menarche age in each group was analyzed by analysis of variance(ANOVA). The percentage of menarche age at 10- 12 years and more than 18 years was analyzed by χ2 method. Results (1 ) The minimum age of menarcbe recorded is 10 years old, and the maximum is 28 years old, with average age of menarche at 15.7 years. In all groups, the smallest average age of menarcbe is 14. 6 years in 26 - 30 years old age group, while the biggest average age of menarche age is 16. 5 years in ＞ 75 years old group; The difference showed statistical significance (P ＜ 0. 01 ). (2) The percentages for participants with early menarehe age (10 - 12 years old) or late menarehe age (＞ 18-year-old menarche) were 1.82% (1034/56 924 ) and 5.20 % (2959/56 924 ) respectively. However, the maximum percentage for early menarche was recorded in 31 -35 years old group (4. 45% ,197/4431 ), only 0. 84% (10/1191 ) of participants in ＞75 years old group was classified as early menarebe. Meanwhile, the lowest percentage for late menarehe was 0. 38% (17/4431 ) in 31 - 35 years old group, and the highest percentage was 14. 70% (91/619) in ＞ 75 years old group. The changes in the percentages for early menarche or late menarche are significantly associated with age differences (P ＜ 0. 01 ). Conclusion The study suggested that the average of onset age of menarche in Pudong district has declined over the past decades in an age-based way, accompanied with the increase of the percentage for early menarche and the decrease of percentage for late menarehe.