Background: Oral squamous cell carcinoma (OSCC) is the most prevalent malignant neoplasm of the oral cavity and constitutes a major health problem in developing. In the last 30 years, the 5-year survival rate of patients with oral SCC has not improved despite advance in diagnostic techniques. To improve early diagnosis for this deadly disease, new biological markers are needed. HOX genes encode homeodomain-containing transcription factors involved in the regulation of cellular proliferation and differentiation during embryogenesis. HOX gene expression has been described in several adult tissues, where they performed important roles in maintaining homeostasis. Few studies have suggested that HOXA1 plays a role in tumorigenesis. Besides being overexpressed in several tumors, HOXA1 influences numerous cellular processes including proliferation, apoptosis and epithelialmesenchymal transition (EMT), and HOXA1 overexpression is sufficient for malignant transformation ofnontumorigenic epithelial cells. Ki-67 is a specific marker of proliferation and the expression of which is strictly associated with cell proliferation and is widely used in pathology as a proliferation marker to measure the growth fraction of cells in human tumors.The aims of this study were to evaluate the immunohistochemical expression of HOXA1 & Ki-67 in OSCC & to correlate the expression of the studied markers with the clinicopathological findings and with each other Materials and Methods: Thirty formalin-fixed, paraffin- embedded tissue blocks of oral squamous cell carcinoma were included in this study. H&E stain was done for each block for reassessment of histological examination. An immunohistochimical stain was performed using anti HOXA1 and anti Ki-67 poly clonal antibodies. Results:The expression of HOXA1 and Ki-67were positive in all oral squamous cell carcinoma cases & in all layers (100%), while the expression was restricted to the basal and supra basal layer in normal oral mucosa. Statistically non-significant correlation observed between each marker with clinico-pathological parameters. While a statistically significant association was found between the expressions of two markers, (p-value= 0.027). Conclusion: The statistically significant association observed between expressions of HOXA1 with the specific marker of proliferation Ki-67. This suggested important role in oral SCC development and progression.
Olmesartan medoxomil (OM) has low bioavailability and limited solubility. To enhance bioavailability, fast dissolving films (FDF) with mixed micelles of soluplus (SPL) and solutol HS15 (STL H15) were developed using solvent casting. The optimised formula, FM2, used polyvinyl alcohol (PVA) and showed high entrapment efficiency, rapid disintegration, and significant improvement in OM bioavailability compared to the market tablet (Olmetec®). FM2 also demonstrated stability and potential for enhanced drug delivery.
In this research, we studied the effect of concentration carriers on the efficiency of the N749-TiO2 heterogeneous solar cell based on quantum electron transfer theory using a donor-acceptor scenario. The photoelectric properties of the N749-TiO2 interfaces in dye sensitized solar cells DSSCs are calculated using the J-V curves. For the 〖(CH_3)〗_3 COH solvent, the N749-TiO2 heterogeneous solar cell shows that the concentration carrier together with the strength coupling are the main factors affecting the current density, fill factor and efficiency. The current density and current increase as the concentration increases and the strength coupling increases as the N749-TiO2 heterogeneous in solar cell. However, the efficiency is more sens
... Show MoreThe influx of data in bioinformatics is primarily in the form of DNA, RNA, and protein sequences. This condition places a significant burden on scientists and computers. Some genomics studies depend on clustering techniques to group similarly expressed genes into one cluster. Clustering is a type of unsupervised learning that can be used to divide unknown cluster data into clusters. The k-means and fuzzy c-means (FCM) algorithms are examples of algorithms that can be used for clustering. Consequently, clustering is a common approach that divides an input space into several homogeneous zones; it can be achieved using a variety of algorithms. This study used three models to cluster a brain tumor dataset. The first model uses FCM, whic
... Show MoreThe current study aims to identify the artistic expression as well as the aspects of artistic expression by the painting among the kindergarten children. In order to fulfill the research's goals, a sample of (400) children were chosen randomly from 19 public kindergartens of 6 directorates at Al-Rusafa and Al-Karkh in Baghdad city. The children were asked to draw a particular view. The researcher has adopted Al-Hamedawi scale (2009) consisted of (16) items, which was exposed to group of (25) experts in psychology, education, measurement and evaluation, artistic education by painting and plastics to show the items reliability. As the researcher applied T-test for 
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