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Purpose: MicroRNAs are evolutionarily conserved non-coding components of the transcriptome that can post-transcriptionally control gene expression. Altered microRNA expression has been found to be a common feature of several cancers, including lung carcinomas. The biogenesis and maturation of microRNAs is known to be mediated by the ribonucleases Drosha, Dicer and Ago2. The purpose of the present study was to investigate the expression and distribution of Drosha, Dicer and Ago2 in human non-small cell lung carcinomas (NSCLC) and to relate the respective expression patterns to clinocopatholical features. Methods: We used five human NSCLC-derived cell lines and primary formalin-fixed paraffin-embedded tissue samples from 83 NSCLC patients. Drosha, Dicer and Ago2 mRNA and protein expression levels, and their sub-cellular distributions, were assessed using RT-PCR, Western blotting, immunofluorescence and immunohistochemistry, respectively. Results: We found that Drosha, Dicer and Ago2 were expressed in all the cell lines and primary neoplastic and non-neoplastic tissue samples tested. The intensity of the immunohistochemical staining was found to be significantly lower in stage I tumors compared to normal lung tissues. Dicer expression was found to be significantly higher in stage II compared to stage I tumors, and in stage III compared to stage II and stage I tumors. Conclusions: Our results point at a role of Drosha, Dicer and Ago2 in the development of NSCLC and suggest that Dicer may be implicated in the progression of these tumors to advanced stages. [ABSTRACT FROM AUTHOR]

Inappropriate expression or activation of transcription factors can drive patterns of gene expression, leading to the malignant behavior of breast cancer cells. We have found that the transcriptional repressor BCL6 is highly expressed in breast cancer cell lines, and its locus is amplified in about half of primary breast cancers. To understand how BCL6 regulates gene expression in breast cancer cells, we used chromatin immunoprecipitation followed by deep sequencing to identify the BCL6 binding sites on a genomic scale. This revealed that BCL6 regulates a unique cohort of genes in breast cancer cell lines compared with B-cell lymphomas. Furthermore, BCL6 expression promotes the survival of breast cancer cells, and targeting BCL6 with a peptidomimetic inhibitor leads to apoptosis of these cells. Finally, combining a BCL6 inhibitor and a signal transducer and activator of transcription3 inhibitor provided enhanced cell killing in triple-negative breast cancer cell lines, suggesting that combination therapy may be particularly useful. Thus, targeting BCL6 alone or in conjunction with other signaling pathways may be a useful therapeutic strategy for treating breast cancer. [ABSTRACT FROM AUTHOR]

To understand the mechanisms of action of (R)-roscovitine and (S)-CR8, two related pharmacological inhibitors of cyclin-dependent kinases (CDKs), we applied a variety of '-omics' techniques to the human neuroblastoma SH-SY5Y and IMR32 cell lines: (1) kinase interaction assays, (2) affinity competition on immobilized broad-spectrum kinase inhibitors, (3) affinity chromatography on immobilized (R)-roscovitine and (S)-CR8, (4) whole genome transcriptomics analysis and specific quantitative PCR studies, (5) global quantitative proteomics approach and western blot analysis of selected proteins. Altogether, the results show that the major direct targets of these two molecules belong to the CDKs (1,2,5,7,9,12), DYRKs, CLKs and CK1s families. By inhibiting CDK7, CDK9 and CDK12, these inhibitors transiently reduce RNA polymerase 2 activity, which results in downregulation of a large set of genes. Global transcriptomics and proteomics analysis converge to a central role of MYC transcription factors downregulation. Indeed, CDK inhibitors trigger rapid and massive downregulation of MYCN expression in MYCN-amplified neuroblastoma cells as well as in nude mice xenografted IMR32 cells. Inhibition of casein kinase 1 may also contribute to the antitumoral activity of (R)-roscovitine and (S)-CR8. This dual mechanism of action may be crucial in the use of these kinase inhibitors for the treatment of MYC-dependent cancers, in particular neuroblastoma where MYCN amplification is a strong predictor factor for high-risk disease. [ABSTRACT FROM AUTHOR]

Very little is known about the role of the innate immune system in the course of human type 1 diabetes. Here we investigated neutrophil numbers along with other leukocyte populations in patients at diagnosis of type 1 diabetes and during prediabetes. Complete and differential blood counts were analyzed from 107 adult patients with newly diagnosed type 1 diabetes, 21 children with persistent islet autoantibodies and a family history of type 1 diabetes, and 1 238 age and gender matched control subjects, all individuals without any signs of acute infection. Adult patients with newly diagnosed type 1 diabetes had significantly lower total WBC (p < 1 × 10 - 6 ), neutrophil (p < 1 × 10 - 6 ), basophil (p < 1 × 10 - 6 ), monocyte (p = 4 × 10 - 6 ) and lymphocyte (p < 1 × 10 - 6 ) counts compared to control subjects. Erythrocyte, eosinophil and platelet counts did not differ between groups. Similarly, children with persistent islet autoantibodies had decreased WBC (p = 0.001), neutrophils (p = 0.003), and lymphocytes (p = 0.006) in comparison to control children. Our findings demonstrate a perturbation of leukocyte homeostasis at and prior to onset of type 1 diabetes suggesting a general involvement of the innate immune system in the pathogenesis of type 1 diabetes. [ABSTRACT FROM AUTHOR]

Genome-wide association studies have identified gene regions associated with type 1 diabetes. The aim of this study was to determine how the combined allele frequency of multiple susceptibility genes can stratify islet autoimmunity and/or type 1 diabetes risk. Children of parents with type 1 diabetes and prospectively followed from birth for the development of islet autoantibodies and diabetes were genotyped for single-nucleotide polymorphisms at 12 type 1 diabetes susceptibility genes (ERBB3, PTPN2, IFIH1, PTPN22, KIAA0350, CD25, CTLA4, SH2B3, IL2, IL18RAP, IL10 and COBL). Non-human leukocyte antigen (HLA) risk score was defined by the total number of risk alleles at these genes. Receiver operator curve analysis showed that the non-HLA gene combinations were highly effective in discriminating diabetes and most effective in children with a high-risk HLA genotype. The greatest diabetes discrimination was obtained by the sum of risk alleles for eight genes (IFIH1, CTLA4, PTPN22, IL18RAP, SH2B3, KIAA0350, COBL and ERBB3) in the HLA-risk children. Non-HLA-risk allele scores stratified risk for developing islet autoantibodies and diabetes, and progression from islet autoimmunity to diabetes. Genotyping at multiple susceptibility loci in children from affected families can identify neonates with sufficient genetic risk of type 1 diabetes to be considered for early intervention. [ABSTRACT FROM AUTHOR]