• Title/Summary/Keyword: breast diseases

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Cellulitis in Broiler Chickens

  • AMER, Mohamed M.;MEKKY, Hoda M.;FEDAWY, Hanaa S.;AMER, Aziza M.;ELBAYOUMI, Khalid M.
    • The Korean Journal of Food & Health Convergence
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    • v.6 no.5
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    • pp.1-10
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    • 2020
  • Cellulitis in broiler chickens is one of the economically important problems that facing the broiler industry due to the presence of the lesion leads to condemnation of part of /or the entire carcasses. Broiler with cellulitis lesions showed lower body weight. Cellulitis was recorded on different body regions including the head, dorsum, thighs, breast, legs, and abdomen. Cellulitis results from the invasion of subcutaneous (s.c.) tissues by bacteria through disruption of skin integrity. Lesions revealed the existence of the characteristic s.c colored exudate varies from yellowish to green, which were either serosanguineous, fibrinous s.c exudate yellowish, greenish or suppurative. Many bacterial isolates including E. coli, Staphylococci, Clostridia, Aeromonas spp., Enterobacter spp., Proteus mirabilis, P. aeruginosa, and Streptococci were isolated from the lesion. Chickens exposed to immunosuppression proved to have a greater probability of developing cellulitis. The condition was experimentally induced by s.c inoculation of 25-day-old broiler chickens with E. coli, S. aureus and clostridia. Usually, bacterial isolates were multidrug-resistant. The usage of Bifidobacterium bifidum or antibiotic with avoiding immunosuppression can reduce lesion and condemnation rate resulted from cellulitis. The objective of this review is to collect different literature written about cellulitis to be available to students, researchers, and veterinarians in poultry practical.

Practice Rate of Breast Self- examination and Its Related Factors among Women in a Rural Area (일부 농촌지역 여성의 유방자가검진 실천율과 관련요인)

  • Lee, Eun-Il;Kang, Pock-Soo;Yun, Sung-Ho;Kim, Seok-Beom;Lee, Kyeong-Soo
    • Journal of agricultural medicine and community health
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    • v.26 no.2
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    • pp.147-159
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    • 2001
  • A questionnaire survey of 568 women over the age of 30 in 11 dongs of Goryeong- gun was performed to identify the practice rate of breast self- examination and its related factors. It was found that the practice rate of breast self- examination was 28.2%, with 9.7% of those surveyed performing breast self- examinations more than once a month. The practice rate of breast self- examination showed significant differences according to factors, such as age, presence of spouse, educational level, occupation, economic status, smoking, regular exercise and chronic disease. According to age, the highest practice rate of breast self-examination was between the ages of 40-49 and the lowest over the age of 60. The practice rate increased with higher the educational level and presence of spouse. According to occupation, administrative and managerial occupations presented the highest practice rate of breast self- examination. Higher economic status, regular exercise and positive family history of breast cancer each presented high practice rates of breast self- examination. The practice rate revealed higher in those who did not smoke and who had no chronic diseases than others. The greatest reason for performing breast self- examination was decided by myself for health reasons, followed by effect of mass media and promotion by health center. The most common reasons for not performing breast self- examination were don't feel the need, followed by don't know how to perform the exam and don't know about the exam itself. Multiple logistic regression analysis showed that factors, such as over the age of 60, less education, and no experience with mammography all lowered the practice rate of self-breast examination. Inconclusion, the rates of breast self- examination and regular check-ups of people in rural areas, who are characteristically older and have low educational backgrounds, were 28.2% and 9.7%. These results show the immediate need for the education of the methods for breast self- examination to be carried out by health centers in these areas. Such efforts and programs could increase the practice rate of breast self- examination and thereby improve health and enhance the quality of life of women in rural areas.

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Chrysanthemum zawadskii var. latilobum Extracts Inhibits of TPA-induced Invasion by Reducing MMP-9 Expression Via the Suppression of NF-${\kappa}B$ Activation in MCF-7 Human Breast Carcinoma Cells (유방암세포에서 구절초 추출물의 암전이 억제 효과)

  • Hwang, Jin Ki;Kim, Jeong Mi;Kim, Mi Seong;Kim, Ha Rim;Park, Yeon Ju;You, Yong Ouk;Kwon, Kang Beom;Lee, Young Rae
    • Journal of Physiology & Pathology in Korean Medicine
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    • v.27 no.6
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    • pp.782-788
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    • 2013
  • Chrysanthemum zawadskii Herbich var. latilobum Kitamura (Compositae), colloquially known "Gujulcho" in Korea, has been used in traditional medicine for the treatment of various diseases, including cough, common cold, bladder-related disorders, gastroenteric disorders, hypertension, and inflammatory diseases, such as pneumonia, bronchitis, pharyngitis, and rheumatoid arthritis (RA) However, the effect of Chrysanthemum zawadskii var. latilobum on breast cancer invasion is unknown. In this study, we investigated the inhibitory effect of Chrysanthemum zawadskii var. latilobum extract (CZE) on 12-O-tetradecanoylphorbol-13-acetate (TPA)-induced matrix metalloproteinase-9 (MMP-9) expression and cell invasion, as well as the molecular mechanisms involved in MCF-7 cells. CZE were not cytotoxic up to 100 ${\mu}g/ml$ concentration in the MCF-7 cell line. CZE decreased MMP-9 expression. TPA substantially increased NF-${\kappa}B$ DNA binding activity. Pre-treatment with CZE inhibited TPA-stimulated NF-${\kappa}B$ binding activity and NF-${\kappa}B$ related protein expression. To identify invasion ability of MCF-7 cells decreased by CZE, we used martrigel invasion assay. As a result, it is significantly decreased cell invasion. These results indicate that CZE-mediated inhibition of TPA-induced MMP-9 expression and cell invasion involves the suppression of the NF-${\kappa}B$ pathway in MCF-7 cells. Chrysanthemum zawadskii var. latilobum may have potential value in restricting breast cancer metastasis.

Spectrum of Cytological Findings in Fine Needle Aspiration Cytology of Breast Lumps with Histopathology Correlation: Experience in a Tertiary Care Rural Hospital in India

  • Kochhar, Ajay Kumar;Jindal, Umesh;Singh, Karandeep
    • Asian Pacific Journal of Cancer Prevention
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    • v.14 no.12
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    • pp.7257-7260
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    • 2013
  • To determine the pattern of disease in patients presenting with breast lumps and to determine the sensitivity and specificity of fine needle aspiration cytology of benign and malignant diseases as a diagnostic tool by correlating with histopathology findings. This retrospective study was carried out in the Department of Pathology, Maharaja Agrasen Medical College, Agroha, from Jan 2008 to April 2012. Fine needle aspiration cytology was performed on 370 cases and out of these 52 cases were received in the Department for histopathological examination. Fibroadenoma was the most common disease encountered, in 88 (24%), with a peak incidence in second and third decade of life. Fibrocystic disease was second, being common in the third and fourth decades of life. Peak incidences of duct ectasia, granulomatous and tubercular mastitis were seen in the third decade. Gynaecomastia showed two peak incidences in second and sixth decades of life. Out of total 370 cases undergoing fine needle aspiration, benign cases were 316 (85.4%), malignant and suspicious were 54 (14.6%) and 10 (2.70%) respectively. Out of total 22 histological confirmed malignant lesions 19 were interpreted as malignant cytologically while two as suspicious and one as benign. All thirty histologically confirmed benign cases were diagnosed as benign cytologically. The sensitivity, specificity, positive and negative predictive values were 98%, 100%, 100% and 96.4% respectively. FNA cytology is highly accurate for diagnosis of breast masses. However, the clinician should correlate FNA cytological results with physical examination and imaging findings to prevent false negative and false positive events and to obtain optimal management of their patients.

The Utility Evaluation of Reconstructed 3-D Images by Maximum Intensity Projection in Magnetic Resonance Mammography and Cholangiopancreatography

  • Cho, Jae-Hwan;Lee, Hae-Kag;Park, Cheol-Soo;Kim, Ham-Gyum;Baek, Jong-Geun;Kim, Eng-Chan
    • Journal of Magnetics
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    • v.19 no.4
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    • pp.365-371
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    • 2014
  • The aim of this study was to evaluate the utility of 3-D images by comparing and analyzing reconstructed 3-D images from fast spin echo images of MRI cholangiopancreatography (MRCP) images using maximum intensity projection (MIP) with the subtraction images derived from dynamic tests of magnetic resonance mammography. The study targeted 20 patients histologically diagnosed with pancreaticobiliary duct disease and 20 patients showing pancreaticobiliary duct diseases, where dynamic breast MR (magnetic resonance) images, fast spin echo imaged of pancreaticobiliary duct, and 3-D reconstitution images using a 1.5T MR scanner and 3.0T MR scanner were taken. As a result of the study, the signal-to-noise ratio in the subtracted breast image before and after administering the contrast agent and in the reconstructed 3-D breast image showed a high ratio in the reconstructed image of lesional tissue, relevant tissue, and fat tissue. However, no statistically meaningful differences were found in the contrast-to-noise ratio of the two images. In the case of the MRCP image, no differences were found in the ratios of the fast spin echo image and reconstructed 3-D image.

Induction of p53-Dependent G1 Cell Cycle Arrest by Rhus verniciflua. Stokes Extract in Human Breast Carcinoma MCF-7 Cells (MCF-7 인체 유방암 세포에서 옻나무 추출물이 p53-Dependent G1 Cell Cycle에 미치는 영향)

  • Hong, Sang-hoon;Han, Min-ho;Choi, Yung-hyun;Park, Sang-eun
    • The Journal of Internal Korean Medicine
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    • v.36 no.1
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    • pp.13-21
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    • 2015
  • Objectives : In Korea, Rhus verniciflua Stokes (RVS) has been used in traditional medicine for various diseases such as back pain, syndromes of the blood system in women, gastrointestinal disease, and cancer. However, the molecular mechanisms of its anti-cancer activity have not been clearly elucidated yet. Methods : This study investigated the possible mechanisms by which RVS extract (RVE) exerts its anti-proliferative action in cultured human breast carcinoma MCF-7 cells. Results : Treatment with RVE in MCF-7 cells resulted in inhibition of cell viability through G1 arrest of the cell cycle and induction of apoptosis in a time- and concentration-dependent manner, as determined by MTT assay and flow cytometry analysis. The induction of G1 arrest by RVE treatment was associated with the inhibition of cyclin D1, cyclin-dependent kinase (Cdk) 2, retinoblastoma protein (pRB), and mouse double minute 2 (MDM2) expression. Moreover, RVE treatment concentration dependently increased the levels of tumor suppressor p53, which was associated with the marked induction of Cdk inhibitors such as p21 (Waf1/Cip1) and p27 (Kip1). However, the inhibition of p53 function by the wild-type p53-specific inhibitor, pifithrin-α, abolished the above-mentioned effects of RVE, showing that p53 was responsible for the cytotoxicity of RVE Conclusions : These data indicate that a molecular pathway involving p53-dependent G1 cell cycle arrest plays a pivotal role in the cellular response to RVE, and demonstrate the potential applications of RVE as an anti-cancer drug for breast cancer treatment.

Neural Transdifferentiation: MAPTau Gene Expression in Breast Cancer Cells

  • Lara-Padilla, E;Miliar-Garcia, A;Gomez-Lopez, M;Romero-Morelos, P;Bazan-Mendez, CI;Alfaro-Rodriguez, A;Anaya-Ruiz, M;Callender, K;Carlos, A;Bandala, C
    • Asian Pacific Journal of Cancer Prevention
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    • v.17 no.4
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    • pp.1967-1971
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    • 2016
  • Background: In tumor cells, aberrant differentiation programs have been described. Several neuronal proteins have been found associated with morphological neuronal-glial changes in breast cancer (BCa). These neuronal proteins have been related to mechanisms that are involved in carcinogenesis; however, this regulation is not well understood. Microtubule-associated protein-tau (MAP-Tau) has been describing in BCa but not its variants. This finding could partly explain the neuronal-glial morphology of BCa cells. Our aim was to determine mRNA expression of MAP-tau variants 2, 4 and 6 in breast cancer cell lines. Materials and Methods: Cultured cell lines MCF-10A, MDA-MB-231, SKBR3 and T47D were observed under phase-contrast microscopy for neural morphology and analyzed for gene expression of MAP-Tau transcript variants 2, 4 and 6 by real-time PCR. Results: Regarding morphology like neural/glial cells, T47D line shown more cells with these features than MDA-MB-231 and SKBR. In another hand, we found much greater mRNA expression of MAP-Tau transcript variants 2, and to a lesser extent 4 and 6, in T47D cells than the other lines. In conclusion, regulation of MAP-Tau could bring about changes in cytoskeleton, cell morphology and motility; these findings cast further light on neuronal transdifferentiation in BCa.

Reduction of TNFα expression by Chungkookjang extracts in human breast cancer MDA-MB-231 cells (인간유방암 MDA-MB-231 세포에서 청국장추출물에 의한 TNFα 발현억제)

  • Park, Jameon;Kang, Choong Kyung;Kim, Han Bok
    • Korean Journal of Microbiology
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    • v.52 no.3
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    • pp.380-382
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    • 2016
  • Chungkookjang, fermented soybeans, contains diverse peptides produced during fermentation. Fermented soybean extracts containing the peptides can affect cellular signal transduction. Proliferation of human breast cancer MDA-MB-231 cells were repressed dependent on concentrations of fermented soybean extracts. Since fermented soybean extracts inhibited breast cancer cell's growth, and inflammation is related to cancer, it is determined whether it can suppress inflammatory $TNF{\alpha}$ expression. $TNF{\alpha}$ expression in MDA-MB 231 cells treated with fermented soybean extracts was repressed by that extracts. $TNF{\alpha}$ inhibitors were developed as drugs for autoimmune diseases. Since fermented soybean extracts suppressed $TNF{\alpha}$ expression, it can be developed as those drugs.

Effective Medicinal Plants in the Treatment of the Cyclic Mastalgia (Breast Pain): A Review

  • Niazi, Azin;Rahimi, Vafa Baradaran;Hatami, Hooman;Shirazinia, Reza;Esmailzadeh-dizaji, Reza;Askari, Nafiseh;Askari, Vahid Reza
    • Journal of Pharmacopuncture
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    • v.22 no.3
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    • pp.131-139
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    • 2019
  • Introduction: Mastalgia is the most common benign breast disorder during the fertility period of women. So far a wide range of natural or complementary medicines is used to cure mastalgia. Sanitary organizations need complete and suitable details to help women, for making the proper decision for alternative treatment based on the evidence. The aim of the present study is to introduce medicinal plant-based treatments about mastalgia and summarizes clinical trials about this disorder. Method: The articles were provided using mixture of keywords including cyclic pain, breast, treatment, therapeutics, therapy, clinical trial, herbal, drug, mastalgia and all the probable terms, in national and international databases SID, Iran Medex, Magiran, PubMed, Scopus, Medline, Science direct and Cochrane library, in both Persian and English languages. All cross-sectional and review articles about herbal treatment of mastalgia until 2018 November were studied. Results: Nineteen articles from all of the available articles (45 cases) and a sample size about of (1987 cases) were included in our study. The articles were clinical trials. The results revealed that mastalgia could be healed by Nigella sativa, Vitex agnus-castus, curcumin, Hypericum perforatum, Citrus sinensis, wheat germ, and Ginkgo biloba. Conclusion: Most of the evaluated medicinal plants possessing antioxidant compounds with anti-inflammatory and analgesic properties, exhibited healing effects in the treatment of mastalgia. Thus, medicinal plants can be considered in the treatment of mastalgia; however, further investigations are needed to obtain more details about their probable side effects.

A Review on Advanced Methodologies to Identify the Breast Cancer Classification using the Deep Learning Techniques

  • Bandaru, Satish Babu;Babu, G. Rama Mohan
    • International Journal of Computer Science & Network Security
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    • v.22 no.4
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    • pp.420-426
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    • 2022
  • Breast cancer is among the cancers that may be healed as the disease diagnosed at early times before it is distributed through all the areas of the body. The Automatic Analysis of Diagnostic Tests (AAT) is an automated assistance for physicians that can deliver reliable findings to analyze the critically endangered diseases. Deep learning, a family of machine learning methods, has grown at an astonishing pace in recent years. It is used to search and render diagnoses in fields from banking to medicine to machine learning. We attempt to create a deep learning algorithm that can reliably diagnose the breast cancer in the mammogram. We want the algorithm to identify it as cancer, or this image is not cancer, allowing use of a full testing dataset of either strong clinical annotations in training data or the cancer status only, in which a few images of either cancers or noncancer were annotated. Even with this technique, the photographs would be annotated with the condition; an optional portion of the annotated image will then act as the mark. The final stage of the suggested system doesn't need any based labels to be accessible during model training. Furthermore, the results of the review process suggest that deep learning approaches have surpassed the extent of the level of state-of-of-the-the-the-art in tumor identification, feature extraction, and classification. in these three ways, the paper explains why learning algorithms were applied: train the network from scratch, transplanting certain deep learning concepts and constraints into a network, and (another way) reducing the amount of parameters in the trained nets, are two functions that help expand the scope of the networks. Researchers in economically developing countries have applied deep learning imaging devices to cancer detection; on the other hand, cancer chances have gone through the roof in Africa. Convolutional Neural Network (CNN) is a sort of deep learning that can aid you with a variety of other activities, such as speech recognition, image recognition, and classification. To accomplish this goal in this article, we will use CNN to categorize and identify breast cancer photographs from the available databases from the US Centers for Disease Control and Prevention.