Objective To explore the relationship between mutations in basic core promoter (BCP) of hepatitis B virus (HBV) and familial clustering of hepatocellular carcinoma (HCC) in Guangxi. Methods 153 pairs of members with HBsAg-positive were selected and matched from HCC high-incidence families and carcinoma-free families in Guangxi. The BCP genes were amplified and sequenced. Results The hotspot sites of the previous five mutations in BCP were T1762, A1764, G1775, V1753, G1803. In univariant analysis, HBV DNA≥105 copies/mL, T1762, A1764 and V1753 mutations were associated with the HCC high-incidence (P <0.05). The multivariate logistic analysis showed that HBV DNA≥105 copies/mL and A1764 were independent risk factors for it. Conclusion HBV DNA level, the mutations in BCP showed correlations with familial clustering of HCC in Guangxi.

Objective To explore the distribution and characteristics of hepatitis B virus (HBV) genotype in the region in Guangxi with high incidence of primary liver cancer (PLC). Methods 103 pairs of samples from the sex- and age-matched members with HBsAg-positive from PLC-clustering families (the experimental group) and carcinoma-free families (control group) were collected. Nested polymerase chain reaction (PCR) and sequencing methods were applied for the analysis of HBV genotype. Results Four HBV genotypes: B, C, B/C and D, were detected, the percentages of them in the two groups were 31.1%, 63.1%, 1.9%, 1.9% and 30.1%, 55.3%, 6.8%, 2.9%, respectively, showed no significant differences (P > 0.05). HBeAg positive rates were significantly different between genotype C and B (P < 0.05), but no significant differences were showed in such factors as gender, age, ethnic group and HBV DNA level in them (P > 0.05). Conclusions The main genotypes were types B and C besides a small number of combined genotypes B/C and D in the regions of Guangxi with a high incidence of PLC. There may be few relationships between HBV genotypes and the high incidence of PLC for familial clustering in Guangxi.

ObjectiveTo elucidate the association of immune response to hepatitis B vaccination with HLA-DRB1 * 12 allele as well as the level of IL-4 and IFN-γ.MethodsSeventy-four healthy college students from Guangxi province who had non- or hypor -response to recombinant hepatitis B vaccination and 64 medium- or hyper-responders with the conditions of similar were selected randomly and involved in this study.HLA-DRB1 * 12 was detected by PCR-SSP,the level of IFN-γ and IL-4 cytokines were examined by ELISA.Results(1)The allelic frequencies of HLA-DRB1 * 12 was lower in the non- or hypor-responders than that in the medium- or hyper-responders ( 10.8％ vs 32.8％,P=0.002) ; (2)The expression level of IFN-γ in the non- or hypor-responders ( 7.21±7.92 ) ng/ml was much less than that of the medium- or hyper- responders ( 16.36± 11.00) ng/ml ( P=0.000).(3) The expression level of IL-4 in the non- or hyporresponders (3.18±4.45) ng/ml was much less than that of the medium- or hyper- responders (7.76±5.71 ) ng/ml(P=0.000).(4)No significant differences was seen between the expression level of IFN-γ in the HLA-DRB1 * 12 positive ( 13.18± 11.24) ng/ml and the negative ( 11.00± 10.29 ) ng/ml ( P =0.349 ).(5)No significant differences was seen between the expression level of IL-4 in the HLA-DRB1 * 12 positive (5.947±4.530) ng/ml and the negative (5.132±5.800) ng/ml (P=0.423).ConclusionHLA-DRB1 * 12 might be the allele enhanced immune response to hepatitis B vaccination.The expression levels of IFN-γand IL-4 correlating to Thl/Th2 cells might affect on the immune response to hepatitis B vaccination.

Objective To explore the common causes of epilepsy and the etiologic characteristics in different age groups of patients with epilepsy.Methods A retrospective survey was made in 5572 epilepsy patients in Epileptic Center of Guangdong 999 Brain Hospital from January 2003 to December 2009.According to the diagnostic criteria published in 2005 from ILAE,all the diagnoses of 5572 cases were made by epileptic specialists.Based on history,cranial MRI or CT and pathologic data,causes of epilepsy were classified into idiopathic,symptomatic and cryptogenic epilepsy.The cases of symptomatic epilepsy were further arranged into different categories in different age grades,such as head trauma,perinatal injuries,infection in central nervous system, cerebral vascular disease, brain tumor, disorders of cortical development,neurocutaneous syndrome and others.The cases with febrile seizures and family history were collected,and positive ratio of febrile seizures and family history were contrasted in different categories of cases by Kruskal-Wallis test ( nonparametric test ).Results In 5572 cases,66 were idiopathic,2834 symptomatic,2672 cryptogenic,and the ratio of these causes was 1％,51％,48％ respectively.Among 2834 cases of symptomatic epilepsy,822 were head trauma,497 were perinatal injuries,360 were infection in central nervous system,249 were brain tumor,150 were cerebral vascular disease,135 were disorders of cortical development,62 were neurocutaneous syndrome and 559 were others. In brief,head trauma,perinatal injuries,infection in central nervous system,brain tumor and cerebral vascular disease were top 5 causes of symptomatic epilepsy. Hippocampal sclerosis was found in 744 cases in those of eryptogenic epilepsy.The importance of febrile seizures( idiopathic:15.2％ ( 10/66 ),symptomatic:6.5％ ( 185/2834 ),cryptogenic:9.4％ ( 250/2672 ) ; x2 =181.393,P =0.000 ) and family history ( idiopathic:83.3％ ( 55/66 ),symptomatic:1.1％ (31/2834),cryptogenic:0.4％ (12/2672) ; x2 =68.354,P =0.000) was statistically different in different causes of epilepsy.Febrile seizures was the most frequent in cases with hippocampal sclerosis than those with other causes,and family history was the most frequent in neurocutaneous syndrome in symptomatic cases.Perinatal injurics was thc first causc in cases of infancy and childhood,head trauma was the top one in those of juvenile and adulthood,and cerebral vascular disease was the main cause in senile cases. Conclusions In the whole epileptic cases of 5572, 1％ was idiopathic,51％ was symptomatic,and 48％ cryptogenic. The main causes of them were head trauma,perinatal injuries,infection in central nervous system,brain tumor,and cerebral vascular disease.

Objective To explore the relationship between radiomics signatures based on DWI and dynamic contrast-enhanced MRI (DCE-MRI) and molecular subtypes of breast cancer.Methods A retrospective analysis of 79 female breast cancer patients, with single mass, clear molecular subtypes and preoperative breast MRI scanning (obtaining DCE-MRI and ADC images), of Guangdong General Hospital from June 2015 to June 2016,were performed.Traditional quantitative parameters,including ADC value and initial enhancement rate(IER),were recorded.Texture analysis were performed on ADC map and DCE map, with manual segmentation and extraction of radiomic features,and Manual segmentation was performed on ADC map and DCE map, radiomics features were extracted and 10 radiomics signatures were finally selected after dimension reduction. Four molecular subtypes of breast cancer were classified by immunohistochemical detection of pathological specimens, including Luminal A, Luminal B, human epidermal growth factor receptor 2 (HER2) overexpression and triple negative (TN). Univariate logistic regression analysis was used for assessing the performance of ADC values, IER values and radiomics signatures to independently predict molecular subtypes groups.Multivariate logistic regression analysis was performed to establish predicting models, then receiver operating characteristic curves (ROC) were drawn and areas under ROC curve were calculated to compare the diagnostic performance of each model. The Hosmer-Lemeshow test was performed to test the goodness of model fitness. Results There were 29 cases of Luminal A, 39 cases of Luminal B, 5 cases of HER2 overexpression and 6 cases of TN breast cancer patients.Univariate logistic regression analysis was used to assess the ability of traditonal MRI parameters of ADC and IER values and ten of the radiomics siganitures in classifying molecular subtypes,results showed that the AUC values of ADC and IER values, were both less than 0.70 (range 0.516 to 0.605), which indicated valueless;at least one radiomic signature had AUC greater than 0.70 when identifying each molecular subtype, and AUC of DCE_L_G_2.5_autocorrelation achieved the highest value of 0.941 in identifying TN and non-TN subtypes.Multivariate logistic regression analysis were performed to obtain the best model, results showed that the AUCs for classifying Luminal A and non-Luminal A, Luminal B and non-Luminal B, TN and non-TN subtypes were 0.786 and 0.733 And 0.941, respectively. The Hosmer-Lemeshow test showed that the P values of all models were larger than 0.10 (0.156, 0.204 and 0.820,respectively),indicating that there was no significant difference between the predicted and observed values of each model established, these models were all fitted good. Conclusion The radiomics features based on ADC map and DCE map can help to identify the molecular subtypes of breast cancer,especially for the identification of TN type breast cancer.