Oct4 gene,a member of POU transcription factor family,is expressed in embryonic stem(ES) cells and embryonic carcinoma(EC) cells,but not in cells of differentiated tissues.It plays a critical role in maintaining pluripotent and self-renewing state of embryonic stem cells.The molecular structure,function,regulation passageway and the relationship with tumors of Oct4 gene have been briefly reviewed.

Objective To study the expression of Oct4 gene, an embryonic stem cell marker, in cervical carcinoma cell lines and tissues for the purpose of finding the relationship between this gene and cervical cancer. Methods The expression of Oct4 in normal cervical tissues and cervical carcinoma tissue and cell lines was detected by the immunohistochemistry and RT-PCR. Results ① The expression of Oct4 mRNA in cervical carcinomas (73.3%, 22/30) was significantly higher (P<0.01) than that in normal cervical tissues (25%, 3/12); ② The rate of Oct4 protein expression in cervical cancer (53.7%, 22/41) was higher (P<0.01) than that in normal cervical tissues (7.7%, 1/13); ③ Oct4 protein was expressed in cervical carcinoma cell lines and primary tumorspheres. ④ The expression of Oct4 in tumorspheres was down-regulated during cell differentiation. Conclusion Our results imply that Oct4 may be one of the cervical cancer stem cell markers, but this still needs further research data to support.

Objective To determine the role of interleukin-8 (IL-8) produced by tumor induced fibroblasts in the development of cutaneous melanoma. Methods B16 melanoma cells induced L929 fibroblasts phenotype was transdifferentiated to myofibroblasts (MF) by co-culture in vitro. MF was monitored by morphology and immunophenotype for a-SMA. The level of IL-8 was detected by ELISA. The effect on B16 cell proliferation rate was estimated using MIT method in vitro. Melanoma implanting model was constructed in C57 mice. Results L929 MF phenotype could be modulated by B16 melanoma cells-derived transforming growth factor-β1 (TGF-β1) and elevated the levels of IL-8. L929 MF did not influence the B16 melanoma cells viability in vitro, but shortened the time of tumor formation and increased the incidence rates of tumors in C57 implanting model mice. Conclusion Fibroblasts can be activated by tumor cells and produce IL-8, which acts as an inflammatory cytokine promoting the development of cutaneous melanoma.

Purpose: The influence of fasting blood glucose (FBG) and cholesterolemia primary liver cancer (PLC) in china was analyzed via a large prospective cohort study based on a community population, and the combined effects between them were investigated. Materials and Methods: Overall, 98,936 staff from the Kailuan Group who participated in and finished physical examinations between 2006 and 2007 were included in the cohort study. Their medical information was collected and they were followed up after examination. The correlations of serum FBG or TC with PLC were analyzed. Then, we categorized all staff into four groups: normal FBG/ non-hypocholesterolemia, normal FBG/hypocholesterolemia, elevated FBGon-hypocholesterolemia, elevated FBG/hypocholesterolemia and normal FBG/ non-hypocholesterolemia was used as a control group. The combined effects of elevated FBG and hypocholesterolemia with PLC were analyzed using the Age-scale Cox proportional hazard regression model. Results: During 1,134,843.68 person*years follow up, a total of 388 PLC cases occured. We found the elevated FBG and hypocholesterolemia increases the risk for PLC, respectively. Compared with the non-hypocholesterolemiaormal FBG group, the risk of PLC was significantly increased in the non-hypocholesterolemia/elevated FBG group (HR=1.19,95%CI 0.88–1.62) and hypocholesterolemiaormal FBG group (HR=1.53,95%CI 1.19–1.97), and in the hypocholesterolemia/elevated FBG group (HR=3.16 95%CI2.13-4.69). And, a significant interaction effect was found of FBG and TC on PLC. All results were independent from the influence of liver disease. Conclusion Elevated serum FBG and hypocholesterolemia are risk factors for PLC, especially when combined. Thus, for the prevention and treatment of PLC, serum FBG and TC levels should be investigated.

ObjectiveTo investigate the effect of longitudinal trajectories of body mass index (BMI) on new-onset gallstone disease. MethodsA prospective cohort study was conducted for 44168 employees who underwent physical examination in Kailuan General Hospital in 2006, 2008, and 2010, and related data, including BMI, were collected. Physical examination was performed once every two years, and the employees were followed up to observe the onset of gallstone disease. According to the longitudinal trajectories of BMI, the employees were divided into low-stable group with 14888 employees, medium-stable group with 22334 employees, and high-stable group with 6948 employees. A one-way analysis of variance was used for comparison of normally distributed continuous data between multiple groups, and the Kruskal-Wallis H test was used for comparison of continuous data with skewed distribution between multiple groups; the chi-square test was used for comparison of categorical data between groups. The Kaplan-Meier method was used to calculate the cumulative incidence rate of gallstone disease in each group, and the log-rank test was used for comparison between groups. The Cox proportional-hazards regression model was used to analyze the influence of longitudinal trajectories of BMI on the onset of gallstone disease. Resultsthe mean follow-up of 5.41 years, a total of 902 patients with gallstone disease were observed, and the cumulative incidence rates of gallstone disease in the low-stable group, the medium-stable group, and the high-stable group were 4.80%, 5.25%, and 9.45%, respectively, with a significant difference between groups based on the log-rank test (χ2=81.86, P＜0.01). After adjustment for confounding factors in the Cox proportional hazards model, compared with the low-stable group, the medium-stable group and the high-stable group had a risk of gallstone disease increased by 1.55 times (95% confidence interval［CI］: 1.31-1.84) and 2.29 times (95% CI: 1.86-2.80), respectively. ConclusionThe ncreased longitudinal trajectory of BMI is an independent risk factor for the onset of gallstone disease.

Objective To investigate the association of ideal cardiovascular health metrics with the incidence rate of nonalcoholic fatty liver disease (NAFLD), and to provide a basis for the prevention and control of NAFLD. Methods A prospective cohort study was conducted for the data of 50 511 employees of Kailuan Group who participated in physical examination from July 2006 to June 2007, and the onset of NAFLD was observed during follow-up once every two years. A one-way analysis of variance was used for comparison of normally distributed continuous data between multiple groups, and the Kruskal-Wallis H test used for comparison of continuous data with skewed distribution between multiple groups; the chi-square test was used for comparison of categorical data between groups. The subjects were divided into four groups according to the quartile of cardiovascular health score (CHS), and person-year incidence rate was used to calculate the incidence rate of NAFLD in each group. Restricted cubic spline (RCS) curve was used to calculate the dose-response relation between continuous variables and outcome events; the Cox proportional hazards model was used to analyze hazard ratio ( HR ) and 95% confidence interval ( CI ) in each group and investigate the effect of ideal cardiovascular health metrics on the incidence rate of NAFLD. Results During the mean follow-up time of 5.58 years, a total of 15 265 cases of NAFLD were observed, and the incidence rate of NAFLD was 77.88/1000 person-year in the Q1 group, 61.33/1000 person-year in the Q2 group, 46.37/1000 person-year in the Q3 group, and 33.69/1000 person-year in the Q4 group. RCS results showed a non-linear relationship between CHS continuous variable and the risk of NAFLD ( P < 0.05). The multivariate Cox proportional risk model analysis showed that compared with the Q1 group in terms of the risk of NAFLD, the Q2, Q3, and Q4 groups had an HR of 0.78 (95% CI 0.74~0.81), 0.57 (95% CI 0.54~0.59), and 0.38 (95% CI 0.36~0.41), respectively, and similar results were observed in subjects stratified by sex and age. The analysis of each component showed that ideal body mass index ( HR =0.37, 95% CI : 0.36~0.39), ideal blood glucose ( HR =0.80, 95% CI : 0.77~0.84), ideal blood pressure ( HR =0.72, 95% CI : 0.69~0.75), ideal cholesterol ( HR =0.86, 95% CI : 0.83~0.89), and ideal diet ( HR =0.94, 95% CI : 0.90~0.99) were protective factors against NAFLD. Conclusion Ideal cardiovascular health metrics are protective factors against NAFLD, and maintaining a healthy lifestyle may help to prevent the onset of NAFLD.