Associations between interleukin-1 polymorphisms and gastric cancers among three ethnicities.

Aim: To investigate the associations between interleukin (IL)-1B and IL-1RN polymorphisms and gastric cancers among the Tibet, Hui and Han ethnicities.

Methods: Genomic DNA was extracted from peripheral blood of 210, 205, and 202 healthy volunteers and from 155, 158, and 197 gastric cancer patients from the Tibet, Hui, and Han populations, respectively. Polymorphisms in IL-1B and IL-1RN were analyzed by denaturing high-performance liquid chromatography.

[Prognostic role of apoptosis-related gene Fas-1377 and -670 polymorphisms in breast cancer].

Objective: To investigate the correlations between Fas-1377 and -670 polymorphisms and survival in Chinese women with breast cancer.

Methods: Polymerase chain reaction-restriction fragment length polymorphism assay (PCR-RFLP) was used to detect the polymorphism of Fas gene in 310 breast cancer patients with a long-term follow-up (median 10.5 years, range 0.

[Alteration of early growth response 1 expression in gastroenterological cancers and its biological significance].

Objective: To investigate the expression of early growth response 1 (EGR1) in gastroenterological cancers and its significance in the pathogenesis.

Methods: RT-PCR was used to determine the expression of EGR1 in normal gastric mucosa tissues from 20 non-tumor patients, gastroenterological tumor tissues and matched para-cancer tissues normal morphologically. RT-PCR and Western blotting were used to analyze the mRNA and protein expression of EGR1 in 20 cancer cell lines.

Identification of matrix metalloproteinase 11 as a predictive tumor marker in serum based on gene expression profiling.

Purpose: Prognostic markers discovery is a strategy for early diagnosis and individualization therapy for human cancer. In this study, we focus to integrate different methods to identify specific biomarker and elucidate its clinical significance.

Experimental Design: A powerful tool named Digital Gene Expression Display online was applied to isolate differentially expressed genes correlated with gastric cancer.