background: human epidermal growth factor receptor-2 (her2/neu) is related to growth factor receptors with alkaline kinase activity and it is regarded as important prognostic and therapeutic factor that can depended on in breast cancer therapy. HER2/neu expression by immunohistochemistry (IHC) is submitted to a great in terob server inconsistency. Subsequently additional confirmatory tests for assessment of gene alterations and amplification status are needed for patients with early or metastatic breast cancer. In situ hybridization techniques and specifically Chromogenic in situ hybridization (CISH) was arise as a practical, cost-effective, and alternative to fluorescent in situ hybridization in testing for gene alterationAims of the study: was to determinate her2/neu gene amplification in (27) breast cancer cases with equivocal her2/neu (2+) detected by IHC by using dual-color chromogenic in situ hybridization (CISH) method and to compare the results with clinic-pathological parameters of those patients like age, stage, grade, ER, PR and ki-67.Methods: twenty seven breast-cancer cases with equivocal HER2-IHC(2+) test results were prospectively collected and reanalyzedusing dual-color CISH (Zyto- Vision) detection kit for further identification of her2/neu gene amplification.Results: Cases with equivocal staining for her2/neu were about 27 cases; these cases were involved in chromogenic in situ hybridization technique to determine the status of her2/neu gene. After CISH study 12(44.4%)cases show her2/neu gene amplification (her2/neu/CEN17 ratio > 2.2).In15 (55.5%) cases out of 27 cases, no amplification of the HER2 gene was shown (her2/neu/CEN17 ratio <1.8).Conclusions: A significant proportion of patients with equivocal IHC(2+) test results show amplification of the HER2 gene by ISH.CISH method has the advantage of diagnosis of gene amplification and revealing tissue histopathology under light microscope.
The purpose of this paper is to identifying the level of analytical thinking and its relationship to the skills of response and simple response to the foil weapon for students of the College of Physical Education and Sports Sciences, University of Basra. Achieving the objectives of the research requires the use of a research method, and accordingly, the researchers used the descriptive method using the survey method .The two researchers identified the research community with the students of the third stage - College of Physical Education and Sports Sciences / University of Basra / for the academic year (2021-2022). Their number is (45) students and the two researchers chose the entire research community to represent th
... Show MoreThis work presents the modeling of the electrical response of monocrystalline photovoltaic module by using five parameters model based on manufacture data-sheet of a solar module that measured in stander test conditions (STC) at radiation 1000W/m² and cell temperature 25 . The model takes into account the series and parallel (shunt) resistance of the module. This paper considers the details of Matlab modeling of the solar module by a developed Simulink model using the basic equations, the first approach was to estimate the parameters: photocurrent Iph, saturation current Is, shunt resistance Rsh, series resistance Rs, ideality factor A at stander test condition (STC) by an ite
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The level of adipokines (interleukin-6 and vaspin) in hyperthyroid patients treated with carbimazole drug was determined. Eighty-five male and female participated in this study, with mean age from 20-70 years. They included: negative control group of thirty euthyroid persons represented group 1, twenty-five hyperthyroid patient (positive control) included in the second group and thirty hyperthyroid patients treated with carbimazole drug for one year or less comprised the third group. By vein puncture, blood was collected, and serum was isolated and preserved at –20 C. Adipokines (interleukin-6 and vaspin) were estimated by using ELISA method. The results demonstrated that the the increase of IL-6 level was highly significant
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Because of inhalation of the volatile substances and unintended ingestion, the risk of health problems for fuelling employees exposed to gasoline vapours in gas stations is increased. Therefore, the goal of the study was to compare the oxidative stress state of healthy volunteers, who served as the control group, to Iraqi male fuelling staff, who served as the exposed groups. The levels of total oxidant status (TOS), total antioxidant status (TAS) and oxidative stress index (OSI), malondialdehyde (MDA), Uric acid (UA), and total peroxidase activity were measured. A total of 102 subjects divided into three groups according to the duration of fuel vapours exposure: 25 exposed for 1-10 years (G1), 50 exposed for 11-19 years (G2)
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Background: The present study was conducted to highlight the importance of environmental pollution and its negative impacts on aquatic, plants and animals lives, especially in industrial areas.
Objective: This research involved studying the hydrogeochemistry of the groundwater and assessing its quality for irrigation and domestic purposes using quality parameters. In this study, 33 groundwater samples were collected from wells during May 2013 and were analyzed for major ions and TDS.
Results: The hydrogeochemical facies of groundwater were identified using the Gibbs model and Chloro – alkaline indices. The results of the Gibbs graph suggest that groundwater
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Problem: Cancer is regarded as one of the world's deadliest diseases. Machine learning and its new branch (deep learning) algorithms can facilitate the way of dealing with cancer, especially in the field of cancer prevention and detection. Traditional ways of analyzing cancer data have their limits, and cancer data is growing quickly. This makes it possible for deep learning to move forward with its powerful abilities to analyze and process cancer data. Aims: In the current study, a deep-learning medical support system for the prediction of lung cancer is presented. Methods: The study uses three different deep learning models (EfficientNetB3, ResNet50 and ResNet101) with the transfer learning concept. The three models are trained using a
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