Genetic screening analysis of patients with hereditary diffuse gastric cancer from northern and northeastern Brazil

Background

Hereditary diffuse gastric cancer (HDGC) is a hereditary autosomal inherited syndrome associated with CDH1 germline mutations. In Brazil, gastrointestinal tumors are among the most prevalent tumor types and constitute a serious public health problem, especially in the northern and northeastern regions. This study aimed to investigate germline mutations, methylation pattern and genomic rearrangements in the CDH1 gene and quantitative changes in the DNA of HDGC patients in northern and northeastern Brazil.

Methods

Twenty-seven DNA samples from the members of four families affected by HDGC were analyzed using array comparative genomic hybridization (aCGH), DNA sequencing and methylation pattern.

Results

No evidence of gain and loss events or any rearrangements were found in any of the samples tested using aCGH. No promoter region hypermethylation was observed either. Two of the four families presented different types of germline mutations. The 185G > T and 1018A > G germline mutations detected in this study have been described in Asian and European families, respectively. The ancestors of the two families carrying these mutations had originated from those continents.

Conclusion

This is the first study to evaluate CDH1 gene germline mutations in Brazilian families with HDGC. In our study, 50% of the families showed no CDH1 gene alterations, and it is possible that in regions with a high incidence of gastric cancer, such as northern and northeastern Brazil, environmental factors might have induced the different genetic alterations analyzed in this study.     

A microRNA signature profile in EBV+ diffuse large B-cell lymphoma of the elderly

Currently, there is no characteristic microRNA (miRNA) expression pattern in Epstein-Barr virus⁺ diffuse large B-cell lymphoma of the elderly (EBV⁺DLBCLe). This study aims to characterize a signature profile and identify miRNAs that can be used as biomarkers and alternative therapeutic targets for EBV⁺DLBCLe. Seventy-one DLBCL patients aged 50 years and older were included and four EBV⁺ and four EBV– samples were analyzed in two miRNA array platforms (pilot study). A larger multicenter cohort (29 EBV⁺DLBCLe and 65 EBV–DLBCL patients) was used to validate the results by real-time polymerase chain reaction. In the pilot study, 9% of DLBCL were EBV⁺DLBCLe by in situ hybridization. In multicenter study, EBV⁺DLBCLe group showed a predominance of non-germinal center B-cell origin. Overall survival duration of EBV⁺DLBCLe was significantly inferior to that of EBV–DLBCL patients. We found 10 deregulated miRNAs in the two groups, but only seven were statistically different. We confirmed overexpression of hsa-miR-126, hsa-miR-146a, hsa-miR-146b, hsa-miR-150, and hsa-miR-222 and underexpression of hsa-miR-151 in EBV⁺DLBCLe cases compared to EBV–DLBCL cases. Hsa-miR-146b and hsa-miR-222 showed high specificity for identifying EBV⁺DLBCLe. The present study proposed a miRNA signature for EBV⁺DLBCLe and our findings suggest that hsa-miR-146b and hsa-miR-222 could be biomarkers and therapeutic targets.     

Recent advances on A₃ adenosine receptor antagonists by QSAR tools

Adenosine receptors (ARs) are widespread on virtually every human organ/tissue, and have long been considered promising therapeutic targets in a wide range of conditions, ranging from cerebral diseases to cancer, including inflammatory disorders. The knowledge acquired up to date in relation to ARs, in particular regarding the molecular biology of the A3 AR has provided a solid basis that led to the proposal of this receptor as a novel therapeutic target enabling the rational design and development of potent and selective A3 AR ligands. This review attempts to summarize the most recent developments in the A3 research field, focusing in particular on Quantitative Structure-Activity Relationships (QSAR) based studies that supported so far the design of new, potent and selective human A3 AR antagonists. In addition, a classical QSAR modeling study carried out on two series of pyrazolo-triazolopyrimidine derivatives is presented as a case study. Specifically, a systematic evaluation of linear and non-linear models along with a variety of structure representations and feature selection tools is reported. The combination of these techniques (neural networks to capture non-linear relationships in the data and feature selection to prevent over-fitting) was found to produce QSAR models with good overall accuracy and robustness, as well as predictivity on external data. Moreover, the study indicated that the antagonist activity of these derivatives is largely explained by electrostatic, steric and hydrogen-bonding factors, highlighting the role of the size, shape and type of inhibitor in forming effective blocking of the A3 AR subtype. The developed QSAR models could then be usefully employed to design new compounds selectively active towards the A3 adenosine receptor.     

High-throughput purification platform in support of drug discovery

The application of parallel synthesis is an efficient approach to explore the chemical space and to rapidly develop meaningful structure activity relationship (SAR) data for drug discovery programs. However, the effectiveness of the parallel synthesis requires a high throughput purification workflow that can process a large number of crude samples within a meaningful time frame. This paper describes a high throughput purification platform that has been adopted at Merck's Rahway research site. The platform includes the evaluation of crude samples, mass-directed HPLC purification, fraction analysis, compound registration, final compound purity assessment and assay distribution. Assisting with the sample tracking and the data management is the internally designed laboratory information management system, Light Automation Framework (LAF). Using this process and the tools described herein, the group has successfully achieved purities of 95% or greater for 90% of samples.     

The death-promoting molecule tumour necrosis factor-related apoptosis inducing ligand (TRAIL) is not required for the development of peripheral lymphopenia or granuloma necrosis during infection with virulent Mycobacterium avium

Disseminated infection with virulent Mycobacterium avium in C57Bl/6 (B6) mice leads to severe lymphocyte depletion in secondary lymphoid organs. In this study, we found an up-regulation of caspase-8 activity in spleen cell extracts from M. avium 25291-infected B6 mice compared to non-infected mice. The activation of this extrinsic apoptotic pathway correlated with an increase in inter-nucleosomal DNA fragmentation in CD4(+) spleen cells, as analysed by the terminal deoxynucleotidyl transferase dUTP nick end labelling (TUNEL) assay. These data suggest the involvement of death receptors in the induction of lymphocyte loss in the spleen, but previous work has excluded a role for tumour necrosis factor (TNF) receptors and Fas/CD95 in M. avium-induced lymphopenia. TNF-related apoptosis-inducing ligand (TRAIL) is expressed by different cell types of the immune system and induces apoptosis and killing of tumour cells while sparing normal cells. Here we used TRAIL(-/-) mice to determine if the absence of TRAIL prevented M. avium-induced immune pathology. We found that TRAIL-deficient mice still developed splenic lymphopenia during disseminated infection or granuloma necrosis during low-dose infections while exhibiting slightly increased susceptibility to M. avium 25291 when compared to B6 mice. However, in vivo proliferation of less virulent strains of M. avium was not influenced by TRAIL deficiency despite a decrease in interferon-γ production in infected B6.TRAIL(-/-) mice compared to B6 mice. Our results show that TRAIL does not play a significant role in either M. avium-induced pathology or protective immunity.