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Objective To investigate the effect of genetic variants in STAT4 and its interaction with exercise on the pathological characteristics of patients with liver cancer. Methods In the 601 new patients with primary liver cancer,
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Objective To investigate the influencing factors for liver cancer by gender in Shunde region, and to explore the potential interactions among influencing factors for liver cancer in males. Methods The relative excess risk of interaction (RERI) and other indices were used to evaluate the pair-wise interaction, and the classification and regression tree (CART) model was applied to explore the potential multi-factors interaction. Results This study included 1 037 male cases and 1 069 controls, together with 166 female cases and 185 controls. Chronic hepatitis B virus infection (CHB) and family history of liver cancer were significantly associated with increased risk of liver cancer both in males and females (both P<0.001). In males, positive additive interactions were observed between CHB and smoking or alcohol drinking, as well as between smoking and drinking. The RERI for CHB and smoking was 121.90(95% CI：52.85%-190.95%). Negative additive interactions were observed between exercise and CHB or smoking. Further, the CART analysis suggested that the CHB males who smoked and drank alcohol had the highest risk of liver cancer. Conclusions CHB and family history of liver cancer are important risk factors for liver cancer in both males and females. CHB, smoking, and alcohol drinking synergistically promote the incidence of liver cancer for males. Exercise can antagonize the hepatocarcinogenic effect of CHB and smoking.
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<p><b>OBJECTIVE</b>To study the correlation of polymorphisms of CYP1A1 MSPI and glutathiones S-transferase (GST-M1) independently and in combination with the risk of lung cancer.</p><p><b>METHODS</b>A case control study which included 91 cases of lung cancer and 138 controls collected from the First Affiliated Hospital of Sun Yat-sen University of Medical Sciences, Guangzhou Tumor Hospital and The Red Cross Hospital of Guangzhou or conmunity area. All subjects were investigated with a uniform questionnaire. Blood samples were collected from all cases and controls for detecting CYP1A1 MSPI and GST-M1 polymorphisms which were analyzed by PCR and RFLP.</p><p><b>RESULTS</b>It showed that there was no significant difference in frequencies of this genotypes of CYP1A1 MSPI between the two groups. The frequency of GST-M1 null (0/0) genotype was higher in the case group than in the control group, with an OR of 1.38 (95% CI 0.81 - 2.38), but there was no statistical significance. However, combination of several genotypes was strongly associated with lung cancer. There was a synergistic interaction between the m2m2 genotype of CYP1A1 MSPI and GST-M1 (0/0) genotype, with an OR of 2.47 (95% CI 1.03 - 5.90).</p><p><b>CONCLUSION</b>The combination of two genetic polymorphisms significantly increases the risk of lung cancer.</p>
Subject(s)
Adult , Aged , Aged, 80 and over , Female , Humans , Male , Middle Aged , Case-Control Studies , Cytochrome P-450 CYP1A1 , Genetics , Genotype , Glutathione Transferase , Genetics , Lung Neoplasms , Genetics , Polymorphism, Genetic , Risk , SmokingABSTRACT
<p><b>OBJECTIVE</b>Serum p53 protein overexpression was detected in population exposed to traffic exhaust gas to study the relation between traffic exhaust gas and the increased risk in p53 gene mutation.</p><p><b>METHODS</b>Serum p53 protein expression was measured by enzyme-linked immunosorbent assay. Relationship between different types of job and serum p53 protein overexpression were studied by pearson Chi-square tests.</p><p><b>RESULTS</b>Results on serum p53 protein overexpression on jobs outside of office (5.74%) were not significantly higher than jobs inside the office. However, it suggested that traffic police men (12.12%) working outside of office, with whose length of service longer than 30 years had a significant overexpression of serum p53 protein than the others (5.36%) whose length of service was less than 30 years (P < 0.05, OR = 2.43, 95% CI: 1.11 - 5.33). Overexpression rate of p53 protein appeared to be 6.89% in the group whose average weekly exposure hours were more than 40 hours, which was significant higher than the group whose exposed hours were less than 40 hours (P < 0.05, OR = 1.71, 95% CI: 1.03 - 2.81).</p><p><b>CONCLUSION</b>The result suggested that traffic exhaust gas was likely to cause mutation of p53 gene and increasing the incidence of lung cancer.</p>