The current study aims to investigate the significance of N 6-methyladenosine (m 6 A) methylationrelated genes in the clinical prognosis of hepatocellular carcinoma (HCC) using bioinformatics analyses based on The Cancer Genome Atlas (TCGA) database. Transcriptome data and corresponding clinical data on m 6 A methylation-related genes (including 15 genes) were obtained from TCGA database. Differential expression of 15 genes was identified. Survival curves of subgroups based on m 6 A methylation-related gene expression levels were plotted. We selected potential predictive genes and analyzed their prognostic values using bioinformatics methods. Eleven genes (METTL3,
The RAD51 gene is essential for the repair of damaged DNA related to tumor development. Although a number of genetic studies have attempted to link the 135G/C polymorphism of RAD51 gene to the risk of cancer, the results were inconclusive. The present study aimed at investigating the pooled association using the more comprehensive meta-analysis. The PubMed, EBSCO, and BIOSIS databases were searched to identify eligible studies which were published in English before March 2014. Data were extracted using standardized methods. The association was assessed by odds ratio (OR) with 95 % confidence interval (CI). Begg's test was used to measure publication bias. Sensitivity analyses were also performed to assess the stability of the results. A total of 45 eligible studies with 28,956 patients and 28,372 controls were included in this meta-analysis. Overall, significant association was detected between 135G/C polymorphism and increased cancer risk (C allele vs. G allele: OR 1.23, 95 % CI 1.18-1.28; CC vs. GG: OR 2.41, 95 % CI 2.12-2.74; CC vs. CG: OR 3.86, 95 % CI 3.41-4.37; recessive model: OR 3.57, 95 % CI 3.19-4.00). In further stratified analysis, significantly elevated cancer risk was observed among Caucasians but not Asians. Subgroup analysis by different cancers also showed their significant associations in breast cancer, hematologic malignances, ovarian cancer, colorectal cancer and endometrial cancer, but not in head and neck cancer. Our results indicated that the RAD51 135G/C polymorphism was a candidate for susceptibility of cancer. The effect of the variants on the expression levels and the possible functional role of the variants in different cancers should be addressed in further studies.
Taurine upregulated gene 1 (TUG1) has been found to promote bladder cancer cell growth in our recent research. In this study, TUG1-depleted bladder cancer cells were used to identify potent players in bladder cancer. Human gene expression arrays were used for transcriptome profiling of TUG1-depleted bladder cancer cells. Cell proliferation was analyzed by MTT assay. Cell apoptosis and cell cycle were analyzed by flow cytometry. Colony formation assay was used to observe the changes of colony formation rates. Xenograft formation assay was performed in nude mice. Immunohistochemical staining was used to test the gene expression levels in tissues from bladder cancer patients. We found that deregulated genes were strongly enriched in cell cycle or pathways in cancer in TUG1-depleted bladder cancer cells. Structural maintenance of chromosomes 2 (SMC2) was inhibited after TUG1 knockdown. The depletion of TUG1 or SMC2 led to G2/M phase arrest in bladder cancer cells. SMC2 depletion inhibited bladder cancer cell proliferation, promoted apoptosis, decreased colony formation, and reduced tumor growth in xenograft nude mice. Overexpression of SMC2 restored the growth of TUG1-depleted cells. The expression levels of SMC2 were higher in human bladder cancer tissues than that in paired normal tissues. Our data suggest that SMC2 is an oncogene in bladder cancer and depletion of SMC2 might have potential therapeutical significance in bladder cancer.
The present study analyzed the association of tumor protein p53 (TP53) Pro72Arg polymorphism with esophageal squamous cell carcinoma (ESCC) in the Mongolian population of Tongliao (Inner Mongolia, China). Restriction fragment length polymorphism-polymerase chain reaction was used to detect the genotype distribution of TP53 Pro72Arg polymorphism in 100 patients with ESCC and 50 healthy controls from the same population. Besides, the correlation between ESCC in Mongolian patients and various factors such as age, sex, cigarette smoking and alcohol consumption was analyzed. χ2 test revealed significant associations between alcohol consumption (P=0.00006) and cigarette smoking (P=0.00076) and ESCC in Mongolian patients. Notably, the Pro72 allele was significantly enriched in patients with ESCC compared with its abundance in the healthy control group, and the genotype of Pro/Arg on p53 codon 72 was confirmed to exhibit a significant correlation with ESCC in Mongolian patients. The present study demonstrated that alcohol drinking and cigarette smoking were risk factors for ESCC in the Mongolian population. Mongolian patients who carry the partocular genotype of Arg/Pro or Pro/Pro on p53 codon 72 may be more likely to develop ESCC. Compared with the p53 codon 72 genotype Arg/Arg, the TP53 Pro72 allele increased the risk of ESCC in Mongolian patients by 1.659-fold.
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