[Construction and analysis of a breast cancer gene-drug network model].

OBJECTIVE: To construct a breast cancer gene-drug network model for extracting and predicting the correlations between breast cancer-related genes and drugs. METHODS: We developed an algorithm based on the ABC principle and the association rules to obtain the correlations between the biological entities. For breast cancer, we constructed 3 different correlations (gene-gene, drug-drug and gene-drug) and used the R language to implement the associated network model. The reliability of the algorithm was verified by ROC curve. RESULTS: We identified 185 breast cancer-associated genes and 98 associations between them, 97 drugs and 170 associations between them. The breast cancer genes-drugs network contained 127 genes and 77 drugs with 384 associations between them. CONCLUSIONS: We identified a large number of different correlations between the breast cancer-related genes and drugs and close correlations between some biological entity pairs that have not yet been reported, which may provide a new strategy for experimental design for testing personalized breast cancer treatment.

Consumption of vegetables may reduce the risk of liver cancer: results from a meta-analysis of case-control and cohort studies.

PURPOSE: We conducted a meta-analysis of all published case-control and cohort studies to evaluate the relationship between vegetables intake and liver cancer risk. METHODS: We searched for cohort and case-control studies published before February 2014, using Pubmed and Cochrane Library Central database. Pooled relative risk (RR) estimates and corresponding 95% confidence interval (CI) were calculated using the inverse-variance method. RESULTS: Eight case-control studies and one cohort study were included in this meta-analysis, involving a total of 136,425 subjects and 1349 liver cancer cases. Finally, we observed a statistically significant protective effect of vegetables consumption on liver cancer (RR=0.78, 95% CI [0.62, 0.99]). In the present meta-analysis, no publication bias was observed among studies using Begg's P value (P=0.532); Egger's (P=0.180) test, which suggested there was no evidence of publication bias. CONCLUSIONS: Our results suggest that vegetables consumption may reduce the risk of liver cancer. More prospective cohort studies with larger sample size, well-controlled confounding factors are warranted to further evaluate the association.

[Experimental study on dog's bone marrow stem cells transfected by pIRES2-EGFP-IGF-1 gene].

OBJECTIVE: To establish the bone marrow stem cells (MSC) model which could highly express the insulin-like growth factor 1 (IGF-1) transfected by dog's IGF-1 gene. METHODS: pIRES2-EGFP-IGF-1 was transfected into MSC by lipofectamine. Positive clones were selected with G418. The expression of IGF-1 protein in the MSC was determined by immunohistochemistry and Western blot analysis. The IGF-1 in the supernatant of the transfected MSC was detected by sandwich-in ELISA. The periodontal ligament cells (PDLC) were cultured in the supernatant of the transfected MSC. The changes of PDLC' proliferation were observed by MTT. RESULTS: IGF-1-transfected MSC could apparently express IGF-1. The IGF-1 protein in the supernatant of the transfected MSC was confirmed by sandwich-in ELISA. IGF-1 could promote the PDLC' proliferation. CONCLUSIONS: The MSC transfected by dog's IGF-1 gene can highly express IGF-1, which may lay the foundation for further study on periodontal regeneration.