Breast cancer is the most prevalent malignancy among women worldwide, in Iraq it ranks the first among the population and the leading cause of cancer related female mortality. This study is designed to investigate the correlations between serum and tissue markers in order to clarify their role in progression or regression breast cancer. Tumor Markers are groups of substances, mainly proteins, produced from cancer cell or from other cells in the body in response to tumor. The study was carried out from April 2018 to April 2019 with total number of 60 breast cancer women. The blood samples were collected from breast cancer women in postoperative and pretherapeutic who attended teaching oncology hospital of the medical city in Baghdad and the serum markers evaluated by ELISA technique are Carbohydrate Antigen 15-3 (Ca 15-3), Carbohydrate Antigen 27.29 (Ca 27.29), Anti-Mullerian Hormone (AMH), Tumor Necrosis Factor-Alpha (TNF-α), Interleukin-6 (IL-6), Interleukin-10 (IL-10) and Human Epidiymis Protein-4 (HE4). Tissue samples were collected for the same breast cancer women who attended medical city, Baghdad with total number 30. The tissue markers evaluated by Immunohistochemical technique are Estrogen Receptor (ER), Progesterone Receptor (PR), Human Epidermal Growth Factor Receptor 2 (Her 2/neu) and Cyclin E. The results showed a positive significant correlation (p = 0.017) between Ca 27.29 and Her-2/neu, (p = 0.038) between IL-6 and cyclin E phenotype, (p = 0.051) between TNF-α and Cyclin E intensity, (p = 0.005) between HE4 and Her-2/neu, and negative significant correlation (p = 0.058) between IL-10 and ER score and (p = 0.045) between HE4 with Cyclin E intensity. We conclude from these correlations that positive correlations increasing disease progression, like correlation between Ca 27.29 and Her-2/neu, cyclin E with IL-6 and cyclin E with TNF-α. And the negative correlations may contribute to delay disease, like correlation between IL-10 and ER. From the correlations results in this study, it is clear that the Ca 27.29, Her-2 / neu, cyclin E markers play an important role in disease progression.
Background: Excision repair cross-complementing group 2 gene (ERCC2) polymorphisms have been linked as being a risk factor for colorectal cancer (CRC) emergence. However, data from several studies are contradictory. To validate genetic biomarkers of the CRC; the impact of the following ERCC2 polymorphism (rs1799793 and rs238406) was examined on CRC susceptibility among sample of Iraqi population. Methods: A total of 126 subjects were enrolled in this case control study; 78 CRC patients and 48 apparently healthy individuals who are age, gender, smoking status and BMI matched. Polymerase chain reaction (PCR) was used for genotyping, followed by sequencing then the association between genetic polymorphisms and CRC risk was investigate
... Show MoreBackground: Breast cancer is the commonest type of malignancy worldwide and in Iraq. It is a serious disease that affects the general health and cause systemic changes that affect the physical and chemical properties of saliva leading to adverse effects on oral health. This study was conducted toassess the tumor marker CA15-3 and selected elements in saliva and their relation to oral health status among breast cancer patients compared to control group. Materials and Methods: The total sample consisted of 60 women aged 35-45 years. 30 women were newly diagnosed with breast cancer before taking any treatment and surgery (study group) and 30 women without clinical signs and symptoms of breast cancer as a control group. Dental caries was record
... Show MoreEmpirical equation has been presented to predict the optimum hydrodynamic
pressure gradient with optimum mud flow rate (one equation) of five Iraqi oil wells
to obtain the optimum carrying capacity of the drilling fluid ( optimum transport
cuttings from the hole to the surface through the annulus).
This equation is a function of mud flow rate, mud density and penetration
rate without using any charts or graphs.
The correlation coefficient accuracy is more than 0.9999.
The research (The Aesthetics of Lumia Art in Contemporary Textile Arts: An Analytical Study) included four chapters, the first to explain the research problem summarized by the question: Does the art of Lumia achieve aesthetic values in contemporary textile arts?, and aims to: Identify the aesthetics of Lumia art and its applied uses in contemporary textile arts, within the time period (2013-2022). The third chapter included: research procedures and sample analysis (4) models according to the descriptive analytical approach, and the fourth chapter dealt with: results, conclusions and recommendations as well as sources.
Psoriasis is a chronic inflammatory condition that requires effective treatment. Genetic variability, particularly in the Tumour Necrosis Factor-alpha (TNF-α) gene, may influence patients’ response to biological therapies such as etanercept. This study evaluated the association of four TNF-α gene polymorphisms (rs361525 G/A, rs673 G/A, rs1800629 G/A, and rs1800750 G/A) with serum TNF-α levels and response to etanercept in Iraqi patients with psoriasis. A retrospective study was conducted on 80 patients with moderate-to-severe psoriasis who received etanercept for at least six months. Patients were categorised as responders (≥ 75% PASI reduction) or non-responders (≤ 50% PASI reduction). Genotyping was performed using PCR and
... Show MoreThe problem of the study and its significance:
Due to the increasing pressures of life continually, and constant quest behind materialism necessary and frustrations that confront us daily in general, the greater the emergence of a number of cases of disease organic roots psychological causing them because of severity of a lack of response to conventional treatments (drugs), and this is creating in patients a number of emotional disorders resulting from concern the risk of disease
That is interested psychologists and doctors searchin
... Show MoreMammography is at present one of the available method for early detection of masses or abnormalities which is related to breast cancer. The most common abnormalities that may indicate breast cancer are masses and calcifications. The challenge lies in early and accurate detection to overcome the development of breast cancer that affects more and more women throughout the world. Breast cancer is diagnosed at advanced stages with the help of the digital mammogram images. Masses appear in a mammogram as fine, granular clusters, which are often difficult to identify in a raw mammogram. The incidence of breast cancer in women has increased significantly in recent years.
This paper proposes a computer aided diagnostic system for the extracti
AN Adil A, F Basman M, 2009