Glut-1 Expression Correlates with Basal-like Breast Cancer

INTRODUCTION: Glucose transporter 1 (Glut-1) is a facilitative glucose transporter expressed in many cancers including breast cancer. Basal-like breast cancer (BLBC) is a high-risk disease associated with poor prognosis and lacks the benefit of targeted therapy. The aim of this study was to characterize the immunohistochemical (IHC) expression of Glut-1 in patients with BLBC compared with non-BLBC. MATERIALS AND METHODS: We identified 523 cases of invasive breast carcinoma from our database. The clinicopathologic findings and the biologic markers including estrogen receptor (ER), progesterone receptor (PR), and human epidermal growth factor receptor 2 (Her2) status were reviewed. IHC stains for cytokeratin 5/6 (CK5/6), epidermal growth factor receptor (EGFR), p53, and Glut-1 were performed on tissue microarray using standard procedures. BLBC was defined as ER-,PR-, Her2-, and CK5/6+ and/or EGFR+. RESULTS: Of informative cases, 14.7% were categorized as BLBC versus 85.3% as non-BLBC. Glut-1 was expressed in 42 (76.4%) of 55 BLBCs, whereas only 55 (23.8%) of 231 non-BLBCs showed immunostaining for Glut-1 (P < .001). Overall, Glut-1 expression was significantly associated with high histologic grade, ER negativity, PR negativity, CK5/6 positivity, EGFR expression, and high p53 expression (P < .001). However, there was no correlation between Glut-1 immunostaining and patient's outcome. CONCLUSIONS: Our results show that Glut-1 is significantly associated with BLBC and might be a potential therapeutic target for this aggressive subgroup of breast cancer, and this warrants further investigations.     

Effect of X-radiation of soaked cotton seeds upon growth,fruiting and yield

Summary Egyptian cotton seeds var. Menoufi were soaked in water for 24 hours and then subjected to X-irradiation doses of 250, 500, and 10000 r. The seeds were then sown and observations on growth, flowering, and fruiting were recorded. A stimulatory effect was observed with the three radiation doses. The 500 r caused the highest stimulation with regard to boll setting and yield.     

Role of fine needle aspirate mapping and touch imprint preparations in the evaluation of azoospermia

OBJECTIVE: To assess the utility of fine needle aspiration cytology (FNAC) and touch imprint cytology (TIC) in the evaluation of azoospermia. STUDY DESIGN: FNAC, TIC and open testicular biopsy (OTB) were used to evaluate 31 azoospermic men. RESULTS: OTB revealed normal spermatogenesis (10), spermatogenic arrest (12), Sertoli cell only syndrome (SCO) (7) and unsatisfactory cases (2). Cytologic examinations (TIC vs. FNAC) revealed normal spermatogenesis (11 vs. 9), spermatogenic arrest (13 vs. 7), SCO (2 vs. 1) and unsatisfactory cases (5 vs. 5). Sensitivity and specificity of TIC and FNAC were 98% vs. 83% and 100% vs. 93%, respectively. CONCLUSION: Testicular FNAC is a reliable and simple method for the evaluation of azoospermia.     

An interactional network of genes involved in chitin synthesis in Saccharomyces cerevisiae

Background

The identification of disease-associated genes using single nucleotide polymorphisms (SNPs) has been increasingly reported. In particular, the Affymetrix Mapping 10 K SNP microarray platform uses one PCR primer to amplify the DNA samples and determine the genotype of more than 10,000 SNPs in the human genome. This provides the opportunity for large scale, rapid and cost-effective genotyping assays for linkage analysis. However, the analysis of such datasets is nontrivial because of the large number of markers, and visualizing the linkage scores in the context of genome maps remains less automated using the current linkage analysis software packages. For example, the haplotyping results are commonly represented in the text format.

Results

Here we report the development of a novel software tool called CompareLinkage for automated formatting of the Affymetrix Mapping 10 K genotype data into the "Linkage" format and the subsequent analysis with multi-point linkage software programs such as Merlin and Allegro. The new software has the ability to visualize the results for all these programs in dChip in the context of genome annotations and cytoband information. In addition we implemented a variant of the Lander-Green algorithm in the dChipLinkage module of dChip software (V1.3) to perform parametric linkage analysis and haplotyping of SNP array data. These functions are integrated with the existing modules of dChip to visualize SNP genotype data together with LOD score curves. We have analyzed three families with recessive and dominant diseases using the new software programs and the comparison results are presented and discussed.

Conclusions

The CompareLinkage and dChipLinkage software packages are freely available. They provide the visualization tools for high-density oligonucleotide SNP array data, as well as the automated functions for formatting SNP array data for the linkage analysis programs Merlin and Allegro and calling these programs for linkage analysis. The results can be visualized in dChip in the context of genes and cytobands. In addition, a variant of the Lander-Green algorithm is provided that allows parametric linkage analysis and haplotyping.     

Proinflammatory cytokines (TNF-alpha and IL-6) in Egyptian patients with SLE: its correlation with disease activity

BACKGROUND: Systemic Lupus Erythematosus (SLE) is an autoimmune disease characterized by a wide variety of autoantibodies, some of which are pathogenic. In recent years it has become more evident that the polyclonal B cell activation in SLE is T-cell dependent. The stimulation of the autoantibody producing B cells is likely mediated by the TH2 subtype of T cells producing IL-4, IL-5, IL-6 and IL- 10, whereas the TH1 subtype secreting IL-2 and IFN-gamma predominates in cell-mediated immune response. Tumor Necrosis Factor (TNF-alpha) is both a proinflammatory and an immunoregulatory cytokine. TNF-alpha has differential effects on B cells, on T cells and on dendritic cells as well as on the process of programmed cell death. Understanding how the immune system integrates the pleiotropic properties of TNF-alpha is a challenge, particularly so in diseases like SLE. Meanwhile the role of IL-6 in the pathogenesis of SLE is controversial. Objective: To investigate whether serum levels of TNF-alpha and IL-6 is higher in Egyptian patients with SLE than healthy control volunteers and its correlation with the clinical activity in patients with different activity scores as measured by Systemic Lupus Erythmatosus Disease Activity Index (SLEADI). Methods: Sixty individuals (40 patients with Systemic lupus Erythmatosus and 20 healthy control volunteers) were the subject of this study, they were subjected to thorough clinical examination, laboratory investigations, their clinical disease activity was scored according to SLEDAI, and serum sampling was obtained for TNF-alpha and IL-6 levels assay. Renal biopsy was carried out and examined by light microscopy by a pathologist blinded with the clinical activity. Results: The mean level of TNF-alpha was (766.95+/-357.82Pg/ml) for patients with active disease while it was (314.01+/-100.87Pg/ml) for those with inactive disease and (172.7+/-39.19Pg/ml) for the healthy control group. The difference was statistically significant (P=.002). The mean level of IL-6 was (135.4+/-54.23Pg/ml) for patients with active disease while it was (47.33+/-18.61Pg/ml) for those with inactive disease and (21.15+/-10.99Pg/ml) for the healthy control group. The difference was statistically significant (P=.002). A significant correlations between TNF-alpha and IL-6 serum levels and the SLEDAI score was observed (r=.743 and .772, respectively). Conclusion: Serum TNF-alpha and IL-6 are sensitive markers of SLE disease activity. They may be useful independent markers for prediction of SLE disease activity and to differentiate normal subjects from those having SLE. Possible therapeutic implications in the treatment of SLE in the future deserve wide scale trials.     

Leishmania donovani: Genetic diversity of isolates from Sudan characterized by PCR-based RAPD

Drug unresponsiveness in patients with visceral leishmaniasis (VL) is a problem in many endemic areas. This study aimed to determine genetic diversity of Leishmania donovani isolates from a VL endemic area in Sudan as a possible explanation for drug unresponsiveness in some patients. Thirty clinically stibogluconate (SSG)-sensitive isolates were made SSG-unresponsive in vitro by gradually increasing SSG concentrations. The sensitive isolates and their SSG-unresponsive counterparts were typed using mini-circle kDNA and categorized using PCR-RAPD. All the isolates were typed as L. donovani, the resulting PCR-RAPD characterization of the SSG-sensitive isolates gave three distinct primary genotypes while, the SSG-unresponsive isolates showed only a single band. L. donovani isolates from eastern Sudan are diverse; this probably resulted from emergence of new L. donovani strains during epidemics due to the pressure of widespread use of antimonials.In this communication the possible role of isolates diversity in antimonial unresponsiveness and the in vitro changing PCR-RAPD band pattern in SSG-unresponsive strains were discussed.     

A neural network model for reconstructing EMG signals from eight shoulder muscles: consequences for rehabilitation robotics and biofeedback

This paper demonstrates the ability of a fully connected feed forward neural network (FFNN) using the backpropagation training algorithm to predict the electromyography (EMG) signal from eight muscles of the shoulder for both exercises not used for training and EMG signals from subjects not used for training. The network showed a good predictive ability for subjects not used for training (r(2) between 0.33 and 0.84) and for activities not used for training (r(2) between 0.56 and 0.89). This may have applications for patients, physical therapists and doctors to monitor patient performance by reviewing the level of agreement between the patient EMG and the predicted EMG. Coupled with traditional methods of evaluation, EMG can provide an excellent measure of how well a patient has responded or is responding to treatment. Incorporating robotic technology could facilitate the use of EMG as an input to an intelligent decision making algorithm used to increase or decrease the level of difficulty according to patient performance.