Foxp3 expression in CD4CD25Foxp3regulatory T cells promotes development of colorectal cancer by inhibiting tumor immunity / 华中科技大学学报（医学）（英德文版）

The mechanism underlying CD4CD25Foxp3regulatory T cells (Tregs) promoting the development of colorectal cancer (CRC) was elucidated in the present study. Forty-eight cases of colorectal carcinomas, 22 cases of colon polyps and 21 cases of normal colorectal tissues were collected. The correlation among Foxp3, IL-10 and Stat3, and the clinical relevance of these three indexes were analyzed. The results showed that the levels of Foxp3 expressed in infiltrating CD4CD25Foxp3Tregs, and IL-10 and Stat3 in CRC tissues were all significantly higher than those in polypus tissues and normal colon tissues (P< 0.01). Pearson correlation analysis indicated that the expression level of Foxp3 was positively correlated with Stat3 at mRNA level (r=0.526, P=0.036), and was positively correlated with IL-10 at protein level (r=0.314, P=0.030). The Foxp3 expressed in CD4CD25Foxp3Tregs was correlated with the histological grade, lymph node metastasis and TNM stage of CRC (P<0.05 for all). The IL-10 expression was correlated with the histological grade and TNM stage (both P<0.05). The Stat3 expression was correlated with the lymph node metastasis and TNM stage (both P<0.05). It was concluded that CD4CD25Foxp3Tregs can inhibit tumor immunity in combination with some other related inhibitory cytokines and that Foxp3 expression in CD4CD25Foxp3Tregs correlates with CRC progression.

Models for risk assessment and prediction in breast cancer / 中华流行病学杂志

In the areas of prevention and life skills counseling for breast cancer, risk assessment and prediction can assist clinicians to decide if chemoprevention or prophylactic surgery is needed or suggestions on improving the quality of life for their clients. Several mathematical models, namely Gail Model, Claus Model, BRCAPRO Model and Cuzick-Tyrer Model etc. have been developed to make predictions, clinically. This paper has reviewed the development, operation, advantage versus disadvantage and areas of application for the four models. Having family history of breast cancer, one subject was calculated on the risks by the four models and different results were found. Up to 45 years old, the accumulative risks from the four models and population risk were 1.9%, 11.8%, 2.5%, 5.0% and i.6%, respectively. To 75 years old, they were 20.2%,32.5%, 13.1%, 25.0% and 8.5%, respectively. The subject had a relatively high breast cancer risk during her lifetime. A new model is supposed to include a variety of important risk factors and to be validated by large scale of case-control samples. Incidence of breast cancer in China had significantly increased during the last ten years, but the research on developing assessment methods of breast cancer risk had never been reported, suggesting that the development of models for Chinese population is necessary.

Study on the relationship between polymorphisms of genes (CYP17, CYP19 and SULT1A1) and susceptibility to breast cancer in Chinese women / 中华流行病学杂志

<p><b>OBJECTIVE</b>To investigate the relationship between polymorphisms of genes (CYP17, CYP19 and SULT1A1) involved in estrogen metabolism and susceptibility to breast cancer in Chinese women.</p><p><b>METHODS</b>A case-control study was performed. PCR-base restriction fragment length polymorphism (PCR-RFLP) and short tandem repeat polymorphism (STRP) assays were used to detect the polymorphism distribution of CYP17, CYP19 and SULT1A1 in 213 breast cancer cases and 430 matched controls. Logistic regression analyses were used to determine the OR, multivariate adjusted OR and 95% CI of each and all three genes and estrogen exposure factors on the risk of breast cancer. Relationship between polymorphisms and clinic-pathological features was also assessed.</p><p><b>RESULTS</b>The frequency of A2 allele of CYP17 was 49.8% in cases and 49.1% in controls (P > 0.05). The frequency His allele of SULT1A1 in cases (13.6%) was significant higher than that of controls (9.5%) (P = 0.03). There was also significant difference in the frequencies of (TTTA)10 allele CYP19 which was 12.4% in cases and 8.2% in controls (P = 0.02). Multigenic model indicated that there was an increased risk of breast cancer with more numbers of high-risk genotypes in a dose-response effect (trend P = 0.05). Data from multivariate analysis showed that the allele of SULT1A1 His and CYP19 (TTTA)10 was positively associated with the risk of breast cancer. Other well-established risk factors as higher estrogen exposure including total years of menstrual, early menarche etc, and women with a higher BMI and WHR were all served as independent risks.</p><p><b>CONCLUSION</b>This study indicated that the polymorphisms of estrogen-metabolizing genes were related to breast cancer.</p>