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Obesity and Breast Cancer: Circulating Adipokines and Their Potential Diagnostic as Risk Biomarkers
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Obesity and cancer are two major epidemics of this century. Obesity is related to a higher risk of many types of cancer. Studies have accessed circulating adipokines, as key-mediators in obesity and breast cancer. The study is aimed to examine the circulating levels of insulin-like growth factor-1, leptin, adiponectin, and resistin in premenopausal Iraqi women with breast cancer. The current study was performed during the period from June 2019 to December 2019 at Oncology unit/ Medical City Hospital-Baghdad. A total of 90 premenopausal women with BC/ stage II and III after 2nd dose of chemotherapy were contributed in this study as patients group. Their ages ranged from (35- 50) years in addition to 90 premenopausal healthy women were designated as a control group. There was a substantial rise (p < 0.05) in fasting serum glucose, total serum cholesterol, triacylglycerol, low-density lipoprotein cholesterol, CA15-3, insulin-like growth factor-1, leptin, leptin/adiponectin ratio, and resistin. While there was a substantial decrease (p= 0.01) in serum adiponectin in patients as paralleled to healthy. There was a considerable rise (p ≤ 0.05) in serum insulin-like growth factor-1, leptin, and resistin, while there was a reduced in serum adiponectin in obese patients as paralleled to overweight, but it was not significant. Additionally, circulating levels of insulin-like growth factor-1, leptin, and resistin were significantly increased (p= 0.001) in patients who had tumour size > 5 cm paralleled to those with tumour size 2-5 cm.Higher levels of serum leptin, resistin, and leptin to adiponectin ratio are related to improved breast cancer risk in Iraqi women. The clinical and pathological features of the tumour recommended that these adipokines might affect the development of breast cancer. Thus adipokines, in complicated and interrelated mechanisms, maybe drive breast cancer instigation and progression.

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Publication Date
Mon Jan 01 2018
Journal Name
Research Journal Of Pharmacy And Technology
Molecular Genetic variability in the D-loop region for females with Breast Cancer and the effect of the Chemotherapy
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Publication Date
Tue Jan 03 2023
Journal Name
The Egyptian Journal Of Hospital Medicine
High Tumor Levels of Ki-67, VEGF and Endostatin Are Associated with Progression of Breast Cancer in Iraqi Women
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Background: Breast cancer (BC) is the most widespread cancer among women worldwide. Its incidence and mortality rates have risen in the previous three decades as a result of changes in risk factor profiles, improved cancer registry, and cancer detection. Objective: The study's goals were to establish if Ki-67 could be used as a potential marker in serum of cancer disease patients as well as their interaction with vascular endothelial growth factor (VEGF) and ES in various stages of breast cancer to assess their function in the progression of BC. Materials and Methods: The levels of Ki-67, VEGF and endostatin (ES) in serum were assessed by commercial enzyme linked immunosorbent assay (ELISA) kits in 60 women diagnosed with breast cancer

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Publication Date
Wed Feb 01 2023
Journal Name
Asian Pacific Journal Of Cancer Prevention
Cytotoxic Activity of the Ethyl Acetate Extract of Iraqi Carica papaya Leaves in Breast and Lung Cancer Cell Lines
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Publication Date
Thu Jan 09 2025
Journal Name
Al Kut Journal Of Economics And Administrative Sciences
Use of the Bootstrap in the logistic regression model for Breast cancer disease
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The logistic regression model is one of the oldest and most common of the regression models, and it is known as one of the statistical methods used to describe and estimate the relationship between a dependent random variable and explanatory random variables. Several methods are used to estimate this model, including the bootstrap method, which is one of the estimation methods that depend on the principle of sampling with return, and is represented by a sample reshaping that includes (n) of the elements drawn by randomly returning from (N) from the original data, It is a computational method used to determine the measure of accuracy to estimate the statistics, and for this reason, this method was used to find more accurate estimates. The ma

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Publication Date
Tue Aug 15 2023
Journal Name
Journal Of Economics And Administrative Sciences
Machine Learning Techniques for Analyzing Survival Data of Breast Cancer Patients in Baghdad
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The Machine learning methods, which are one of the most important branches of promising artificial intelligence, have great importance in all sciences such as engineering, medical, and also recently involved widely in statistical sciences and its various branches, including analysis of survival, as it can be considered a new branch used to estimate the survival and was parallel with parametric, nonparametric and semi-parametric methods that are widely used to estimate survival in statistical research. In this paper, the estimate of survival based on medical images of patients with breast cancer who receive their treatment in Iraqi hospitals was discussed. Three algorithms for feature extraction were explained: The first principal compone

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Publication Date
Sun Jan 03 2016
Journal Name
Journal Of The Faculty Of Medicine Baghdad
Initiating opportunistic breast cancer screening program for asymptomatic self-referring women in Iraq
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Background: Breast cancer is the most frequently diagnosed cancer in women worldwide and organized national mammographic screening has been adopted as gold standard for breast cancer early detection in most developed countries in the world.
Objectives: to evaluate and emphasize the performance of the initiative opportunistic breast cancer screening program in Iraq and to determine the incident malignancy rate of breast cancer among asymptomatic self-referring women aged 40 years or older via digital mammography by mean of the breast imaging reporting and data system (BI-RADS©).
Patients and methods: this retrospective study included a total of 809 asymptomatic self-referring women over age 40 years, mostly consisted of employees o

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Publication Date
Thu Jun 30 2011
Journal Name
Al-kindy College Medical Journal
The Expression of Epstein-Barr virus in Breast cancer in relation to age
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Background: Breast cancer is the most common
malignancy affecting females worldwide. The association
of Epstein-Barr virus (EBV) with this cancer is a longstanding
interest to this field.
Aim: to investigate the presence of EBV in breast tumor
tissue in relation to age.
Patients and Methods: Paraffin-embedded tissue blocks
from 45 female patients with breast tumors (ranged in age
from 28 to 85 years) were retrieved. The cases were
grouped into two categories: group (A): included 30 cases
with breast carcinoma and group (B): included 15 cases
with benign breast diseases as a control group .The
expression of EBV protein was examined
immunohistochemically.
Results: Twelve (40%) of the 30 breast canc

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Publication Date
Mon Oct 14 2019
Journal Name
Turkish Journal Of Biology
E2F6 is essential for cell viability in breast cancer cells during replication stress
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Abstract: E2F6 is a member of the E2F family of transcription factors involved in regulation of a wide variety of genes through both activation and repression. E2F6 has been reported as overexpressed in breast cancers but whether or not this is important for tumor development is unclear. We first checked E2F6 expression in tumor cDNAs and the protein level in a range of breast cancer cell lines. RNA interference-mediated depletion was then used to assess the importance of E2F6 expression in cell lines with regard to cell cycle profile using fluorescence-activated cell sorting and a cell survival assay using (3-(4,5-dimethylthiazol-2-yl)-2,5-diphenyltetrazolium bromide (MTT). The overexpression of E2F6 was confirmed in breast tumor cDNA samp

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Publication Date
Mon Apr 01 2013
Journal Name
Journal Of The Faculty Of Medicine Baghdad
Molecular Study of Human Mammary Tumor Virus in Iraqi Women with Breast Cancer
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Background: Earlier reports related the presence of Mouse Mammary Tumor Virus -like gene sequences to human breast carcinoma. Mouse Mammary Tumor Virus -like gene is a retrovirus, namely, a virus containing reverse transcriptase which transcript its RNA to DNA in a process that enables genetic material from the retrovirus to become a part of the genes of an infected cell permanently. The virus that found in women was designated as Human Mammary Tumor Virus by the authors, who have investigated the presence of Human Mammary Tumor Virus sequences in a many human breast tissues and in many countries.

Objectives: Detect HMTV genome in Iraqi women of breast cancer.

Patients and Methods

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Publication Date
Mon Apr 01 2019
Journal Name
Biochemical And Cellular Archives
Association Of Human Cytomegalovirus With Her2 Protooncogene Overexpression In Iraqi Breast Cancer Patients
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Human cytomegalovirus (HCMV) has a worldwide distribution and common infections. The presence of HCMV genome and antigens has been detected in many kinds of human cancers. The proto-oncogene Her2/neu is overexpressed in 25% to 30% of human breast cancers and frequently associated with tumor aggressiveness and worse prognosis. Examination was applied to detect different HCMV antigens and to demonstrate their correlation with Her2/neu overexpression in breast cancer. The present study includes samples from 70 women of 60 breast cancer patients and 10 normal breast tissues. Formalin-fixed paraffin embedded tissue blocks were obtained from each woman according to ethical approval. Human cytomegalovirus early antigen expression was detected in 5

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