Background: The aim of this study was to determine influence of prognostic factors in addition to UICC staging systems, on cancer-specific and overall survival rates for patients with colorectal cancer (CRC) undergoing surgical treatment. Methods: Between January 1996 and December 2006, a total of 1367 CRC patients who underwent surgical treatment in Kaohsiung Medical University Hospital were analyzed. We retrospectively investigated clinicopathologic features of these patients. All patients were followed up intensively, and their outcomes were investigated completely. Results: Of 1367 CRC patients, there were seven hundred and fifty-seven males (55.4%) and 610 (44.6%) females. The median follow-up period was 60 months (range, 3–132 months). A multivariate analysis identified that low serum albumin level (P = 0.011), advanced UICC stage (P < 0.001), and high carcinoembryonic antigen (CEA) level (P < 0.001) were independent prognostic factors of cancer-specific survival. Meanwhile, a multivariate analysis showed age over 65 years (P < 0.001), advanced UICC stage (P < 0.001), and high CEA level (P < 0.001) were independent prognostic factors of overall survival. Furthermore, combination of UICC stage, serum CEA and albumin levels as predictors of cancer-specific survival showed that the poorer the prognostic factors involved, the poorer the cancer-specific survival rate. Likewise, combination of UICC stage, age and serum CEA level as predictors of overall survival showed that the poorer the prognostic factors involved, the poorer the overall survival rate. Of these prognostic factors, preoperative serum CEA level was the only significant prognostic factor for patients with stage II and III CRCs in both cancer-specific and overall survival categories. Conclusion: Preoperative serum albumin level, CEA level and age could prominently affect postoperative outcome of CRC patients undergoing surgical treatment. In addition to conventional UICC staging system, it might be imperative to take these additional characteristics of factors into account in CRC patients prior to surgical treatment.

Background: Betel quid, chewed by about 600 million people worldwide, is one of the most widely used addictive substances. Cessation factors in betel quid chewers are unknown. The present study explores prevalence and the quit rate of betel quid chewing in Taiwan aborigines. Our goal was to delineate potential predictors of chewing cessation. Methods: A stratified random community-based survey was designed for the entire aborigines communities in Taiwan. A total of 7144 participants were included between June 2003 and May 2004 in this study. Information on sociodemographic characteristics, such as gender, age, obesity, education years, marital status, ethnicity, and habits of betel quid chewing, smoking and drinking was collected by trained interviewers. Results: The prevalence of betel quid chewers was 46.1%. Betel quid chewing was closely associated with obesity (OR = 1.61; 95% CI: 1.40–1.85). Betel quid chewers were most likely to use alcohol and cigarettes together. Quit rate of betel quid chewers was 7.6%. Betel quid chewers who did not drink alcohol were more likely to quit (OR = 1.89; 95% CI: 1.43–2.50). Alcohol use is a significant factor related to cessation of betel quid chewing, but smoking is not. Conclusion: Taiwan aborigines have a high prevalence of betel quid chewers and a low quit rate. Alcohol use is strongly association with betel quid chewing. Efforts to reduce habitual alcohol consumption might be of benefit in cessation of betel quid chewing.

Although many genome-wide association studies (GWASs) of hyperuricemia or gout have been reported, the related genetic factors and the mechanisms from hyperuricemia to gouty attack remain unclear. This study aimed to identify genetic factors and pathogenesis of gout from hyperuricemia by genome-wide association study (GWAS). 747 gout patients, 747 hyperuricemia and 2071 age-matched controls were recruited and analyzed with Affymetrix 650 K chip to find the related genetic variants. The functions of the related genes were investigated in an endothelial cell (EC) with urate crystal stimulation. The GWAS results showed 36 SNPs to be strongly associated with gout compared to controls (all p-values < 10⁻⁷). Whereas the rs2231142 in ABCG2 gene had significant associations between gout and controls, between gout and hyperuricemia, and between hyperuricemia and controls (all p-values < 10⁻⁷), and the ORs were 4.34, 3.37 and 2.15 (all p-values < 0.001) after adjustment of potential confounders, respectively. The cell model showed significantly higher IL-8 release from EC combined with ABCG2 knockdown. We concluded that ABCG2 gene contributed to hyperuricemia but also gout, and that it was involved in the inflammation dysregulation via augmented IL-8 release in EC.

Objective. To explore the causal relationship between gout and Type 2 diabetes based on genetic evidence and national outpatient database. Methods. Twenty male gout patients with early-onset, gout family history, without a habit of alcohol consumption or obesity before the first attack of gout were selected from hospital in 2010; and 42 unrelated male Chinese subjects were selected from HapMap as controls for genome-wide analysis study (GWAS). The comorbid diseases with gout were revealed by applying the significant single nucleotide polymorphisms (SNPs) to MetaCore platform, and the comorbid relationship was analysed by standardized incidence ratio (SIR) from outpatient database. Results. A total of 334 SNPs were significantly related to gout in GWAS (P < 10⁻⁷), and Type 2 diabetes was the most significantly associated disease with gout as recognized by 36 gene symbols correspondent to the above significant SNPs. The analysis of national outpatient database showed that the overall incident Type 2 diabetes was 1.50 cases per 1000 person-months among gout patients, which was higher than the overall incident gout (1.06 cases) among Type 2 diabetes. The age-adjusted SIR of incident Type 2 diabetes among gout was 2.59 (95% CI 2.42, 2.78), whereas the age-adjusted SIR for incident gout among Type 2 diabetes was 1.61 (95% CI 1.48, 1.74). Conclusion. After excluding obesity and alcohol consumption behaviour, this study showed that patients with gout and Type 2 diabetes shared the common genetic factors most, and that there existed a mutual inter-dependent effect on higher incidences.

Past studies have shown inconsistent results on whether there is an association between multiple sclerosis (MS) and rheumatoid arthritis. To investigate the possible relationship between the 2 autoimmune diseases, we performed a nationwide cohort study utilizing the National Health Insurance Research Database and the Registry of Catastrophic Illness. A total of 1456 newly diagnosed patients with MS and 10,362 control patients were matched for age, sex, and initial diagnosis date. Patients with MS had a higher incidence of rheumatoid arthritis (age-adjusted standardized incidence ratio: 1.72; 95% confidence interval = 1.01–2.91). There was a positive correlation in being diagnosed with rheumatoid arthritis in patients previously diagnosed with MS when stratified by sex and age. The strength of this association remained statistically significant after adjusting for sex, age, and smoking history (hazard ratio: 1.78, 95% confidence interval = 1.24–2.56, P = 0.002). In conclusion, this study demonstrates that a diagnosis of MS increased the likelihood of a subsequent diagnosis of rheumatoid arthritis in patients, independent of sex, age, and smoking history.

Variants of transcription factor binding sites (TFBSs) constitute an important part of the human genome. Current evidence demonstrates close links between nucleotides within TFBSs and gene expression. There are multiple pathways through which genomic sequences located in TFBSs regulate gene expression, and recent genome-wide association studies have shown the biological significance of TFBS variation in human phenotypes. However, numerous challenges remain in the study of TFBS polymorphisms. This article aims to cover the current state of understanding as regards the genomic features of TFBSs and TFBS variants; the mechanisms through which TFBS variants regulate gene expression; the approaches to studying the effects of nucleotide changes that create or disrupt TFBSs; the challenges faced in studies of TFBS sequence variations; the effects of natural selection on collections of TFBSs; in addition to the insights gained from the study of TFBS alleles related to gout, its associated comorbidities (increased body mass index, chronic kidney disease, diabetes, dyslipidemia, coronary artery disease, ischemic heart disease, hypertension, hyperuricemia, osteoporosis, and prostate cancer), and the treatment responses of patients.