Alterations of gut microbiota diversity, composition and metabonomics in testosterone-induced benign prostatic hyperplasia rats.

BACKGROUND: Studies had shown many diseases affect the stability of human microbiota, but how this relates to benign prostatic hyperplasia (BPH) has not been well understood. Hence, this study aimed to investigate the regulation of BPH on gut microbiota composition and metabonomics. METHODS: We analyzed gut samples from rats with BPH and healthy control rats, the gut microbiota composition and metabonomics were detected by 16S rDNA sequencing and liquid chromatography tandem mass spectrometry (LC-MS/MS). RESULTS: High-throughput sequencing results showed that gut microbiota beta-diversity increased (P < 0.01) in the BPH group vs. control group. Muribaculaceae (P < 0.01), Turicibacteraceae (P < 0.05), Turicibacter (P < 0.01) and Coprococcus (P < 0.01) were significantly decreased in the BPH group, whereas that of Mollicutes (P < 0.05) and Prevotella (P < 0.05) were significantly increased compared with the control group. Despite profound interindividual variability, the levels of several predominant genera were different. In addition, there were no statistically significant differences in several bacteria. BPH group vs. control group: Firmicutes (52.30% vs. 57.29%, P > 0.05), Bacteroidetes (46.54% vs. 41.64%, P > 0.05), Clostridia (50.89% vs. 54.66%, P > 0.05), Ruminococcaceae (25.67% vs. 20.56%, P > 0.05). LC-MS/MS of intestinal contents revealed that differential metabolites were mainly involved in cellular processes, environmental information processing, metabolism and organismal systems. The most important pathways were global and overview maps, lipid metabolism, amino acid metabolism, digestive system and endocrine system. Through enrichment analysis, we found that the differential metabolites were significantly enriched in metabolic pathways, steroid hormone biosynthesis, ovarian steroidogenesis, biosynthesis of unsaturated fatty acids and bile secretion. Pearson correlation analysis (R = 0.94) showed that there was a strong correlation between Prevotellaceae, Corynebacteriaceae, Turicibacteraceae, Bifidobacteriaceae and differential metabolites. CONCLUSION: Our findings suggested an association between the gut microbiota and BPH, but the causal relationship between the two groups is unclear. Thus, further studies are warranted to elucidate the potential mechanisms and causal relationships between BPH and gut microbiota.

Genome-wide analysis of cell-Free DNA methylation profiling with MeDIP-seq identified potential biomarkers for colorectal cancer.

BACKGROUND: Colorectal cancer is the most common malignancy and the third leading cause of cancer-related death worldwide. This study aimed to identify potential diagnostic biomarkers for colorectal cancer by genome-wide plasma cell-free DNA (cfDNA) methylation analysis. METHODS: Peripheral blood from colorectal cancer patients and healthy controls was collected for cfDNA extraction. Genome-wide cfDNA methylation profiling, especially differential methylation profiling between colorectal cancer patients and healthy controls, was performed by methylated DNA immunoprecipitation coupled with high-throughput sequencing (MeDIP-seq). Logistic regression models were established, and the accuracy of this diagnostic model for colorectal cancer was verified using tissue-sourced data from The Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO) due to the lack of cfDNA methylation data in public datasets. RESULTS: Compared with the control group, 939 differentially methylated regions (DMRs) located in promoter regions were found in colorectal cancer patients; 16 of these DMRs were hypermethylated, and the remaining 923 were hypomethylated. In addition, these hypermethylated genes, mainly PRDM14, RALYL, ELMOD1, and TMEM132E, were validated and confirmed in colorectal cancer by using publicly available DNA methylation data. CONCLUSIONS: MeDIP-seq can be used as an optimal approach for analyzing cfDNA methylomes, and 12 probes of four differentially methylated genes identified by MeDIP-seq (PRDM14, RALYL, ELMOD1, and TMEM132E) could serve as potential biomarkers for clinical application in patients with colorectal cancer.

ZNF281 Regulates Cell Proliferation, Migration and Invasion in Colorectal Cancer through Wnt/ß-Catenin Signaling.

BACKGROUND/AIMS: Zinc Finger Protein 281 (ZNF281) was recently identified as a novel oncogene in several human carcinomas. However, the clinical significance of ZNF281 in colorectal cancer (CRC) and the molecular mechanisms by which ZNF281 promotes the growth and metastasis of CRC remain unknown. METHODS: ZNF281 expression in CRC tissues was assessed, and the outcomes were analyzed to determine the clinical importance of ZNF281 expression. Cell Transwell assays and a wound healing assay were performed to assess the effects of ZNF281 on CRC cell migration and invasion in vitro. Western blotting was applied to analyze the potential mechanisms. RESULTS: ZNF281 mRNA and protein levels were significantly increased in CRC tissues compared with normal colon tissues, and high ZNF281 expression was associated with advanced T stage, N stage, TNM stage and differentiation. Therefore, ZNF281 expression might be an independent prognostic indicator in CRC patients. Moreover, knockdown of ZNF281 expression suppressed cell proliferation, migration and invasion by inhibiting the Wnt/ß-catenin pathway. CONCLUSION: Our study indicates that ZNF281 plays a critical role in the progression and metastasis of CRC and could represent a potential therapeutic target for CRC.

XRCC2-Deficient Cells are Highly Sensitive to 5-Fluorouracil in Colorectal Cancer.

BACKGROUND/AIMS: Inhibition of the repair of 5-fluorouracil (5-FU)-induced DNA lesions may improve the responses of tumors to anticancer agents. XRCC2 is a key factor in DNA repair. However, the role of XRCC2 in the chemoresistance of colorectal cancer (CRC) treated with 5-FU remains unclear. The aim of this study is to investigate whether XRCC2 expression affects the chemosensitivity of colorectal cancer. METHODS: XRCC2 expression in CRC tissues was assessed, and the outcomes were analyzed to determine the clinical importance of XRCC2 expression. Following treatment with 5-FU, the effect of XRCC2 on proliferation was evaluated via a CCK-8 assay, the effects on cell cycle distribution and apoptosis were analyzed using flow cytometry, and γH2AX foci formation assays were performed to examine the influence of 5-FU on DNA Double-strand breaks(DSBs) repair in CRC cells. RESULTS: XRCC2 expression in CRC tissues was significantly higher than that in normal tissues, and this increased XRCC2 expression was associated with advanced T staging, M staging, TNM staging, Duke's staging, and greater liver and lymph node metastases. XRCC2 expression might be an independent prognostic indicator for CRC patients. Patients with negative XRCC2 expression exhibit greater sensitivity to treatment with 5-FU-based chemotherapy than those with positive XRCC2 expression. Moreover, our observations revealed that the knockdown of XRCC2 in CRC cells increased the sensitivities to 5-FU in terms of cell proliferation, apoptosis and cell cycle arrest. DNA DSBs repair was slower in the XRCC2-deficient cells than in the XRCC2-wild type cells. CONCLUSION: Our study demonstrated that XRCC2 might play an important role in CRC and function as a novel prognostic indicator and that the down-regulation of XRCC2 may be useful for sensitizing CRC cells during 5-FU chemotherapy.

XRCC2 as a predictive biomarker for radioresistance in locally advanced rectal cancer patients undergoing preoperative radiotherapy.

XRCC2 has been shown to increase the radioresistance of some cancers. Here, XRCC2 expression was investigated as a predictor of preoperative radiotherapy (PRT) treatment response in locally advanced rectal cancer (LARC). XRCC2 was found to be overexpressed in rectal cancer tissues resected from patients who underwent surgery without PRT. In addition, overall survival for LARC patients was improved in XRCC2-negative patients compared with XRCC2-positive patients after treatment with PRT (P < 0.001). XRCC2 expression was also associated with an increase in LARC radioresistance. Conversely, XRCC2-deficient cancer cells were more sensitive to irradiation in vitro, and a higher proportion of these cells underwent cell death induced by G2/M phase arrest and apoptosis. When XRCC2 was knocked down, the repair of DNA double-strand breaks caused by irradiation was impaired. Therefore, XRCC2 may increases LARC radioresistance by repairing DNA double-strand breaks and preventing cancer cell apoptosis. Moreover, the present data suggest that XRCC2 is a useful predictive biomarker of PRT treatment response in LARC patients. Thus, inhibition of XRCC2 expression or activity represents a potential therapeutic strategy for improving PRT response in LARC patients.

XRCC1 R399Q polymorphism and colorectal cancer risk in the Chinese Han population: a meta-analysis.

X-ray repair cross-complementing group 1 (XRCC1) plays a key role in DNA repair, genetic instability, and tumorigenesis. The XRCC1 R399Q polymorphism has been reported in some studies to influence the risk of colorectal cancer (CRC), though this remains controversial. We performed a meta-analysis to determine the association of XRCC1 R399Q polymorphisms with CRC risk in the Chinese Han population. A literature search was conducted using PubMed, EMBASE, and the China National Knowledge Infrastructure to identify eligible studies published before June 2014. The pooled odds ratio (OR) and corresponding 95% confidence interval (CI) were used to estimate the effect of XRCC1 R399Q polymorphisms on CRC risk. Eleven case-control studies with a total of 3194 CRC cases and 4472 controls were identified. No significant association between the XRCC1 R399Q polymorphism and CRC risk was observed in the Chinese Han population (Gln/Gln vs. Arg/Arg, OR = 1.26, 95% CI = 0.85-1.87, P OR = 0.242; Arg/Gln vs. Arg/Arg, OR = 0.95, 95% CI = 0.70-1.18, P OR = 0.651; dominant model, OR = 1.09, 95% CI = 0.86-1.38, P OR = 0.480; and recessive model, OR = 1.24, 95% CI = 0.91-1.70, P OR = 0.177). After excluding two studies that deviated from the Hardy-Weinberg equilibrium, there remained no significant association between XRCC1 R399Q and CRC risk. No publication bias was found using the funnel plot and Egger's test. Our meta-analysis results suggest that the XRCC1 R399Q polymorphism is not associated with increased risk of CRC in the Chinese Han population.