14 research outputs found

    Bronchial gene expression signature associated with rate of subsequent FEV1 decline in individuals with and at risk of COPD

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    Background COPD is characterised by progressive lung function decline. Leveraging prior work demonstrating bronchial airway COPD-associated gene expression alterations, we sought to determine if there are alterations associated with differences in the rate of FEV1 decline. Methods We examined gene expression among ever smokers with and without COPD who at baseline had bronchial brushings profiled by Affymetrix microarrays and had longitudinal lung function measurements (n=134; mean follow-up=6.38 +/- 2.48 years). Gene expression profiles associated with the rate of FEV1 decline were identified by linear modelling. Results Expression differences in 171 genes were associated with rate of FEV1 decline (false discovery rate <0.05). The FEV1 decline signature was replicated in an independent dataset of bronchial biopsies from patients with COPD (n=46; p=0.018; mean follow-up=6.76 +/- 1.32 years). Genes elevated in individuals with more rapid FEV1 decline are significantly enriched among the genes altered by modulation of XBP1 in two independent datasets (Gene Set Enrichment Analysis (GSEA) p<0.05) and are enriched in mucin-related genes (GSEA p<0.05). Conclusion We have identified and replicated an airway gene expression signature associated with the rate of FEV1 decline. Aspects of this signature are related to increased expression of XBP1-regulated genes, a transcription factor involved in the unfolded protein response, and genes related to mucin production. Collectively, these data suggest that molecular processes related to the rate of FEV1 decline can be detected in airway epithelium, identify a possible indicator of FEV1 decline and make it possible to detect, in an early phase, ever smokers with and without COPD most at risk of rapid FEV1 decline

    Bronchial gene expression signature associated with rate of subsequent FEV1 decline in individuals with and at risk of COPD

    No full text
    Background COPD is characterised by progressive lung function decline. Leveraging prior work demonstrating bronchial airway COPD-associated gene expression alterations, we sought to determine if there are alterations associated with differences in the rate of FEV1 decline. Methods We examined gene expression among ever smokers with and without COPD who at baseline had bronchial brushings profiled by Affymetrix microarrays and had longitudinal lung function measurements (n=134; mean follow-up=6.38 +/- 2.48 years). Gene expression profiles associated with the rate of FEV1 decline were identified by linear modelling. Results Expression differences in 171 genes were associated with rate of FEV1 decline (false discovery rate <0.05). The FEV1 decline signature was replicated in an independent dataset of bronchial biopsies from patients with COPD (n=46; p=0.018; mean follow-up=6.76 +/- 1.32 years). Genes elevated in individuals with more rapid FEV1 decline are significantly enriched among the genes altered by modulation of XBP1 in two independent datasets (Gene Set Enrichment Analysis (GSEA) p<0.05) and are enriched in mucin-related genes (GSEA p<0.05). Conclusion We have identified and replicated an airway gene expression signature associated with the rate of FEV1 decline. Aspects of this signature are related to increased expression of XBP1-regulated genes, a transcription factor involved in the unfolded protein response, and genes related to mucin production. Collectively, these data suggest that molecular processes related to the rate of FEV1 decline can be detected in airway epithelium, identify a possible indicator of FEV1 decline and make it possible to detect, in an early phase, ever smokers with and without COPD most at risk of rapid FEV1 decline.Pathogenesis and treatment of chronic pulmonary disease

    A chronic obstructive pulmonary disease related signature in squamous cell lung cancer

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    The epidemiological relationship between squamous cell lung cancer (SCC) and chronic obstructive pulmonary disease (COPD), both smoking-related diseases, suggests that they have also a genetic basis. We compared 35 SCC patients with and without COPD with whole-genome gene expression profiles of laser microdissected tissue. Validation of differential expression was performed for 25 genes using quantitative (q)RT-PCR. Subsequently, we performed array-based CGH on the same tumor samples. We found that 374 probes were differentially expressed in SCC from patients with and without COPD. Forty-four probes were derived from genes with mitochondrial functions and 34 probes were located on 5q. All these probes showed a lower expression level in SCC from non-COPD patients. For a random selection of 25 mitochondrial and 5q genes, we confirmed the differential expression by qRT-PCR. Loss of 3p, 5q and 9p was observed, via array-CGH, to be more frequent in SCC from non-COPD patients as compared to SCC from COPD patients. Combination of chromosomal aberrations and the location of the differentially expressed genes showed significant association for loss of the 5q31.2-31.3 region and reduced expression of the 5q genes. In conclusion, a more frequent loss of 5q and a low expression of genes located on 5q in SCC tumors of non-COPD patients compared to tumors from COPD patients was identified suggesting that different oncogenetic pathways are operational in patients with and without COPD

    Response to Comments on &quot;A Common Genetic Variant Is Associated with Adult and Childhood Obesity&quot;.

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    Identification of genetic variants affecting complex traits such as obesity is confounded by many types of bias, especially when effect sizes are small. Given our findings of a positive association between rs7566605 and body mass index in four out of five separate samples, a false positive finding cannot be ruled out with certainty but seems unlikely. Meta-analyses of multiple large studies will help refine the estimate of the effects of rs7566605 on body mass index

    A common genetic variant is associated with adult and childhood obesity.

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    Obesity is a heritable trait and a risk factor for many common diseases such as type 2 diabetes, heart disease, and hypertension. We used a dense whole-genome scan of DNA samples from the Framingham Heart Study participants to identify a common genetic variant near the INSIG2 gene associated with obesity. We have replicated the finding in four separate samples composed of individuals of Western European ancestry, African Americans, and children. The obesity-predisposing genotype is present in 10% of individuals. Our study suggests that common genetic polymorphisms are important determinants of obesity

    Dicer, Drosha, and outcomes in patients with ovarian cancer

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    BACKGROUND: We studied Dicer and Drosha, components of the RNA-interference machinery, in ovarian cancer. METHODS: We measured messenger RNA (mRNA) levels of Dicer and Drosha in specimens of invasive epithelial ovarian cancer from 111 patients, using a quantitative reverse-transcriptase-polymerase-chain-reaction assay, and compared the results with clinical outcomes. Validation was performed with the use of published microarray data from cohorts of patients with ovarian, breast, and lung cancer. Mutational analyses of genomic DNA from the Dicer and Drosha genes were performed in a subgroup of ovarian-cancer specimens. Dicer-dependent functional assays were performed by means of in vitro transfection with small interfering RNA (siRNA) and short hairpin RNA (shRNA). RESULTS: Levels of Dicer and Drosha mRNA correlated with the levels of expression of the corresponding protein and were decreased in 60percent and 51percent of ovarian-cancer specimens, respectively. Low Dicer expression was significantly associated with advanced tumor stage (P=0.007), and low Drosha expression with suboptimal surgical cytoreduction (P=0.02). Cancer specimens with both high Dicer expression and high Drosha expression were associated with increased median survival (&gt;11 years, vs. 2.66 years for other subgroups; P&lt;0.001). We found three independent predictors of reduced disease-specific survival in multivariate analyses: low Dicer expression (hazard ratio, 2.10; P=0.02), high-grade histologic features (hazard ratio, 2.46; P=0.03), and poor response to chemotherapy (hazard ratio, 3.95; P&lt;0.001). Poor clinical outcomes among patients with low Dicer expression were validated in additional cohorts of patients. Rare missense mutations were found in the Dicer and Drosha genes, but their presence or absence did not correlate with the level of expression. Functional assays indicated that gene silencing with shRNA, but not siRNA, may be impaired in cells with low Dicer expression. CONCLUSIONS: Our findings indicate that levels of Dicer and Drosha mRNA in ovarian-cancer cells have associations with outcomes in patients with ovarian cancer. 2008 Massachusetts Medical Societ
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