Objectives: To identify the frequency and types of microsatellite instability among a group of sporadic CRC patients and to correlate the findings with clinicopathological characteristics. Methods: During an 8-month period, all patients with sporadic CRC who attended to two teaching hospitals in Baghdad, Iraq were recruited to this cross-sectional study regardless of age, sex, ethnicity, or tumor characteristics. Demographic, clinical, and histopathological features were recorded. DNA was extracted from FFPE-blocks of the resected tumors and normal tissues. PCR amplification of five microsatellite mononucleotide repeat loci (BAT25, BAT26, NR-21, NR-24, and MONO-27) and 2 pentanucleotide repeat control markers (Penta C and Penta D) was performed to determine the MSI status. Capillary electrophoresis and Genetic Analyzer 3500 (Applied Biosystem, Japan) were used to separate and examine the products. Data were analyzed by Genescan software (Promega, USA). Instability of two or more loci is considered MSI-H. Result: In this study, ages of the 45 recruited patients ranged between 20-80 years, with a mean±SD of 55±12.3 years; of them, 31(68.9%) were ≥50 years; 25 (55.6%) were males. Rectal bleeding was the most frequent presenting feature [22 (48.9%)] patients; 23 (51.1%) of CRCs were located at recto-sigmoid region, 29 (64.4%) were T3 tumors, 34(75.5%) were non-mucinous adenocarcinoma, 39(86.7%) were moderately differentiated, 17 (37.8%) patients had stage III tumors; and 25 (55.5%) had lymphovascular invasion. MSI-H was seen in 5/45 (11.1%) patients; 3(60%) of them were ≥50 years, 4(80%) were males, 3(60%) were smokers, 2 (40%) presented with intestinal obstruction and altered bowel habits each; 4(80%) had T3 tumors, 3(60%) had mucinous adenocarcinomas [p=0.004], 2(40%) had stage II tumor and stage III each. Conclusion: The frequency of MSI-H among the recruited patients with CRC was 5/45 (11.1%) and it was significantly associated with mucinous adenocarcinoma subtype. NR-24 and NR-21 were the most prevalent instable markers.
Clinical keratoconus (KCN) detection is a challenging and time-consuming task. In the diagnosis process, ophthalmologists must revise demographic and clinical ophthalmic examinations. The latter include slit-lamb, corneal topographic maps, and Pentacam indices (PI). We propose an Ensemble of Deep Transfer Learning (EDTL) based on corneal topographic maps. We consider four pretrained networks, SqueezeNet (SqN), AlexNet (AN), ShuffleNet (SfN), and MobileNet-v2 (MN), and fine-tune them on a dataset of KCN and normal cases, each including four topographic maps. We also consider a PI classifier. Then, our EDTL method combines the output probabilities of each of the five classifiers to obtain a decision b
KE Sharquie, AA Noaimi, MS Younis, BS Al-Sultani, Journal of Cosmetics, Dermatological Sciences and Applications, 2015 - Cited by 8
Systemic lupus erythematosus (SLE) is an autoimmune disease, in which the etiology is not well-understood; however, interactions between environmental and genetic factors in predisposed individuals have been recognized. As a consequence, immunological alternations occur and immune cells are involved, especially T and B lymphocytes that are activated to produce different immune components. Among these components are autoantibodies that react with self-antigens aside from non-self-antigens due to the proposed theory of molecular mimicry. Accordingly, the current study was designed to examine the profile of different autoantibodies in SLE patients by using the indirect membrane based enzyme immunoassay
Background: Leukemia is a group of malignant disorders
associated with increased numbers of blood white blood
cells. Acute leukemia occurs at all ages. Because zinc
influences many body systems and functions, zinc is an
essential nutrient for tissue growth, cellular division,
protein synthesis DNA and RNA replication it also ought to
play a critical role in the growth of tumor. In this study,
serum zinc was estimated in leukemic patients and
compared with healthy subjects.
Methods: The subjects in the present study were; fourtyfour depressed patients aged (14-48 year), thirty-one
apparently healthy subjects were selected as control group.
Their sex and age were comparable to that of patients.
Determin
In recent decades, the identification of faces with and without masks from visual data, such as video and still images, has become a captivating research subject. This is primarily due to the global spread of the Corona pandemic, which has altered the appearance of the world and necessitated the use of masks as a vital measure for epidemic prevention. Intellectual development based on artificial intelligence and computers plays a decisive role in the issue of epidemic safety, as the topic of facial recognition and identifying individuals who wear masks or not was most prominent in the introduction and in-depth education. This research proposes the creation of an advanced system capable of accurately identifying faces, both with and
... Show MoreCommunity detection is useful for better understanding the structure of complex networks. It aids in the extraction of the required information from such networks and has a vital role in different fields that range from healthcare to regional geography, economics, human interactions, and mobility. The method for detecting the structure of communities involves the partitioning of complex networks into groups of nodes, with extensive connections within community and sparse connections with other communities. In the literature, two main measures, namely the Modularity (Q) and Normalized Mutual Information (NMI) have been used for evaluating the validation and quality of the detected community structures. Although many optimization algo
... Show MoreBackground: Coronavirus, which causes respiratory illness, has been a public health issue in recent decades. Because the clinical symptoms of infection are not always specific, it is difficult to expose all suspects to qualitative testing in order to confirm or rule out infection as a test. Methods: According to the scientific studies and investigations, seventy-three results of scientific articles and research were obtained using PubMed, Medline, Research gate and Google Scholar. The research keywords used were COVID-19, coronavirus, blood parameters, and saliva. Results: This review provides a report on the changes in the blood and saliva tests of those who are infected with the COVID-19.COVID-19 is a systemic infection that has
... Show MoreThe present study aims to establish an empirical correlation between biochemical oxygen demand (BOD5) and chemical oxygen demand (COD) of the sewage flowing in Al-Diwaniyah wastewater treatment plant. The strength of the wastewater entering the plant varied from medium to high. High concentrations of BOD5 and COD in the effluent were obtained due to the poor performance of the plant. This was observed from the BOD5 /COD ratios that did not confirm with the typical ratios for the treated sewage. Regression equations for BOD5 and COD removal percentages were suggested which can be used to evaluate rapid effluent assessment after the treatment processes or optimal process control to improve the performance of wastewater treatment plants.
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