The paracrine hormone for the GUCY2C tumor suppressor, guanylin, is universally lost in colorectal cancer.

BACKGROUND: Although colorectal cancer is a disease characterized by sequential accumulation of mutations in epithelial cells, mechanisms leading to genomic vulnerability contributing to tumor initiation remain undefined. GUCY2C has emerged as an intestine-specific tumor suppressor controlling epithelial homeostasis through circuits canonically disrupted in cancer. Surprisingly, the GUCY2C tumor suppressor is universally overexpressed by human colorectal cancer cells. This apparent paradox likely reflects silencing of GUCY2C through loss of its paracrine hormone guanylin. Here, we quantified expression of guanylin mRNA and protein in tumors and normal epithelia from patients with colorectal cancer. METHODS: Guanylin mRNA was quantified in tumors and normal adjacent epithelia from 281 patients by the reverse transcriptase-polymerase chain reaction. Separately, the guanylin protein was quantified by immunohistochemistry in 54 colorectal tumors and 30 specimens of normal intestinal epithelium. RESULTS: Guanylin mRNA in colorectum varied more than a 100-fold across the population. Guanylin mRNA was reduced 100- to 1,000-fold in >85% of tumors compared with matched normal adjacent mucosa (P < 0.001). Loss of guanylin mRNA was greatest in tumors from patients <50 years old (P < 0.005) and with the highest expression in normal adjacent mucosa (Spearman correlation coefficient = 0.61; P < 0.001). In a separate validation cohort, guanylin protein was detected in all 30 normal colorectal mucosa specimens, but in none of 54 colorectal tumors. CONCLUSIONS: Colorectal cancer may initiate as a disease of paracrine hormone insufficiency through loss of guanylin expression, silencing the GUCY2C tumor suppressor and disrupting homeostatic mechanisms regulating colorectal epithelia cells. IMPACT: Intestinal tumorigenesis may be prevented by oral GUCY2C hormone replacement therapy.

Selection of optimal reference genes for normalization in quantitative RT-PCR.

BACKGROUND: Normalization in real-time qRT-PCR is necessary to compensate for experimental variation. A popular normalization strategy employs reference gene(s), which may introduce additional variability into normalized expression levels due to innate variation (between tissues, individuals, etc). To minimize this innate variability, multiple reference genes are used. Current methods of selecting reference genes make an assumption of independence in their innate variation. This assumption is not always justified, which may lead to selecting a suboptimal set of reference genes. RESULTS: We propose a robust approach for selecting optimal subset(s) of reference genes with the smallest variance of the corresponding normalizing factors. The normalizing factor variance estimates are based on the estimated unstructured covariance matrix of all available candidate reference genes, adjusting for all possible correlations. Robustness is achieved through bootstrapping all candidate reference gene data and obtaining the bootstrap upper confidence limits for the variances of the log-transformed normalizing factors. The selection of the reference gene subset is optimized with respect to one of the following criteria: (A) to minimize the variability of the normalizing factor; (B) to minimize the number of reference genes with acceptable upper limit on variability of the normalizing factor, (C) to minimize the average rank of the variance of the normalizing factor. The proposed approach evaluates all gene subsets of various sizes rather than ranking individual reference genes by their stability, as in the previous work. In two publicly available data sets and one new data set, our approach identified subset(s) of reference genes with smaller empirical variance of the normalizing factor than in subsets identified using previously published methods. A small simulation study indicated an advantage of the proposed approach in terms of sensitivity to identify the true optimal reference subset in the presence of even modest, especially negative correlation among the candidate reference genes. CONCLUSIONS: The proposed approach performs comprehensive and robust evaluation of the variability of normalizing factors based on all possible subsets of candidate reference genes. The results of this evaluation provide flexibility to choose from important criteria for selecting the optimal subset(s) of reference genes, unless one subset meets all the criteria. This approach identifies gene subset(s) with smaller variability of normalizing factors than current standard approaches, particularly if there is some nontrivial innate correlation among the candidate genes.

Diallyl sulfide inhibits PhIP-induced DNA strand breaks in normal human breast epithelial cells.

Heterocyclic amines (HCAs) are formed when meat products such as beef, chicken, pork and fish are cooked at high temperatures. The most abundant HCA found in the human diet is 2-amino-1-methyl-6-phenylimidazo[4,5-b] pyridine (PhIP). PhIP causes mammary carcinomas in female rats and mice, and is associated with an increased risk of developing colon, breast, and prostate cancer in humans. PhIP is metabolized by cytochrome P-450s producing N-OH-PhIP. The N-OH-PhIP can be esterified by phase II enzymes forming an arylnitrenium ion that binds to DNA causing adducts. Furthermore, N-OH-PhIP may be reduced by cytochrome b5 reductase producing superoxide anions and hydroxyl radicals causing DNA strand breaks. Diallyl sulfide (DAS) has been shown to prevent cancer in several animal models, presumably by metabolic modulation. We hypothesize that PhIP produces reactive oxygen species causing DNA strand breaks and that DAS will inhibit the formation of PhIP induced DNA strand breaks. To test this hypothesis we treated normal breast epithelial (MCF-10A) cells with PhIP, DAS and a combination of PhIP and DAS. The detection of lipid peroxides was used as a surrogate for ROS. Lipid peroxides were detected using a PeroxiDetect kit (Sigma). PhIP increased the production of lipid peroxides and DAS decreased the PhIP-induced peroxidation by 47%. To determine if PhIP causes DNA strand breaks in MCF-10A cells, cells were treated for 3, 6, 9, and 24 h with PhIP (100 microM), DAS (100 microM) and a combination of PhIP (100 microM) and DAS (100 microM). DNA strand breaks were evaluated using the Comet assay. PhIP produced DNA strand breaks in a dose- and time-dependent fashion. We have shown that DAS inhibits PhIP-induced DNA strand breaks by inhibiting the production of reactive oxygen species. Therefore, we propose that DAS can prevent PhIP-induced breast cancer.

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Cytochrome P450 expression and metabolic activation of cooked food mutagen 2-amino-1-methyl-6-phenylimidazo[4,5-b]pyridine (PhIP) in MCF10A breast epithelial cells.

The cytochrome P450 expression profile was determined in the MCF10A human breast epithelial cell line, as was the ability of this cell line to catalyze the bioactivation of the cooked food mutagen, 2-amino-1-methyl-6-phenylimidazo[4,5-b]pyridine (PhIP). Using non-quantitative reverse transcription-polymerase chain reaction (RT-PCR), transcripts for CYP1B1, CYP2J2, CYP2R1, CYP2U1, CYP2W1, CYP4B1, CYP4F, CYP4V2, CYP4X1 and CYP4Z1 were detected in both sub-confluent and confluent MCF10A cells. By contrast, CYP1A2 mRNA was detected only in confluent MCF10A cells, while CYP1A1, CYP2S1 and CYP2F1 were detected predominantly or exclusively in sub-confluent cultures. 2,3,7,8-Tetrachlorodibenzo-p-dioxin treatment of confluent MCF10A cells markedly induced microsomal ethoxyresorufin O-deethylase activity and CYP1A1, CYP1A2 and CYP1B1 mRNA levels, as determined by real-time RT-PCR, while treatment with 10(-4)M PhIP had little effect on these P450 transcript levels. Treatment of confluent MCF10A cells with PhIP (10(-4)M) for 24, 48 or 72 h produced time-dependent increases in the amounts of DNA adducts, as measured by (32)P-post-labeling. These results indicate that multiple P450s, including those known to catalyze PhIP N-oxidation, are expressed in MCF10A cells, and that this non-neoplastic human breast epithelial cell line contains sufficient enzymatic machinery to support PhIP bioactivation and generate DNA damage.

Diallyl sulfide inhibits the oxidation and reduction reactions of stilbene estrogens catalyzed by microsomes, mitochondria and nuclei isolated from breast tissue of female ACI rats.

Previously, it has been demonstrated that microsomal, mitochondrial and nuclear enzymes isolated from the liver of male Sprague-Dawley rats catalyzed the oxidation of diethylstilbestrol (DES) to DES quinone. In the present study we have shown that diallyl sulfide (DAS) inhibits the oxidation of DES to DES quinone in all three subcellular fractions (microsomes, mitochondria and nuclei) isolated from breast tissue of female ACI rats. UV analysis of mitochondrial and microsomal fractions revealed that DAS decreased the rate of DES oxidation to DES quinone and DAS also decreased the rate in which DES quinone was reduced to DES. Lineweaver-Burk plots of the rate of DES quinone formation at various DES and DAS concentrations demonstrated that DAS inhibited the oxidation of DES and the reduction of DES quinone in a non-competitive fashion. In both microsomal and mitochondrial oxidation reactions the K(m) remained constant whereas the V(max) decreased with increasing DAS (0, 186 and 373 microM) concentrations (microsomes K(m) = 80 microM; V(max) = 5.56, 4.16 and 3.33 nmol/mg protein/min; mitochondria K(m) = 35.7 microM; V(max) = 3.45, 2.44 and 1.82 nmol/mg protein/min). Results were similar for reduction reactions. HPLC analysis revealed that a concentration of 186 microM DAS inhibited the mitochondrial, microsomal and nuclear oxidation by 27, 35 and 40%, respectively. A concentration of 373 microM DAS inhibited the mitochondrial, microsomal and nuclear oxidation by 50, 52 and 60% respectively. The data provide direct evidence that the breast tissue contain the metabolic machinery required to oxidize DES to reactive intermediates that may lead to genetic instability and cancer. This inhibition may play a role in the chemoprevention of stilbene estrogen-induced breast cancer.