• Title/Summary/Keyword: breast cancer tissue

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Microbiota of Breast Tissue and Its Potential Association with Regional Recurrence of Breast Cancer in Korean Women

  • Kim, Hyo-Eun;Kim, Jongjin;Maeng, Sejung;Oh, Bumjo;Hwang, Ki-Tae;Kim, Bong-Soo
    • Journal of Microbiology and Biotechnology
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    • v.31 no.12
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    • pp.1643-1655
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    • 2021
  • Recent studies have reported dysbiosis of the microbiome in breast tissue collected from patients with breast cancer and the association between the microbiota and disease progression. However, the role of the microbiota in breast tissue remains unclear, possibly due to the complexity of breast cancer and various factors, including racial and geographical differences, influencing microbiota in breast tissue. Here, to determine the potential role of microbiota in breast tumor tissue, we analyzed 141 tissue samples based on three different tissue types (tumor, adjacent normal, and lymph node tissues) from the same patients with breast cancer in Korea. The microbiota was not simply distinguishable based on tissue types. However, the microbiota could be divided into two cluster types, even within the same tissue type, and the clinicopathologic factors were differently correlated in the two cluster types. Risk of regional recurrence was also significantly different between the microbiota cluster types (p = 0.014). In predicted function analysis, the pentose and glucuronate interconversions were significantly different between the cluster types (q < 0.001), and Enterococcus was the main genus contributing to these differences (q < 0.01). Results showed that the microbiota of breast tissue could interact with the host and influence the risk of regional recurrence. Although further studies would be recommended to validate our results, this study could expand our understanding on the breast tissue microbiota, and the results might be applied to develop novel prediction methods and treatments for patients with breast cancer.

Expression and Clinical Significance of Osteopontin in Calcified Breast Tissue

  • Huan, Jin-Liang;Xing, Li;Qin, Xian-Ju;Gao, Zhi-Guang;Pan, Xiao-Feng;Zhao, Zhi-Dong
    • Asian Pacific Journal of Cancer Prevention
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    • v.13 no.10
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    • pp.5219-5223
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    • 2012
  • Osteopontin (OPN) is an integrin-binding protein, believed to be involved in a variety of physiological cellular functions. The physiology of OPN is best documented in the bone where this secreted adhesive glycoprotein appears to be involved in osteoblast differentiation and bone formation. In our study, we used semi-quantitative RT-PCR of osteopontin in calcification tissue of breast to detect breast cancer metastasis. The obtained data indicate that the expression of osteopontin is related to calcification tissue of breast, and possibly with the incidence of breast cancer. The expression strength of OPN by RT-PCR detection was related to the degree of malignancy of breast lesions, suggesting a close relationship between OPN and breast calcification tissue. The results revealed that expression of OPN mRNA is related to calcification of breast cancer tissue and to the development of breast cancer. Determination of OPN mRNA expression can be expected to be a guide to clinical therapy and prediction of the prognosis of breast cancer patients.

Texture Analysis for Classifying Normal Tissue, Benign and Malignant Tumors from Breast Ultrasound Image

  • Eom, Sang-Hee;Ye, Soo-Young
    • Journal of information and communication convergence engineering
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    • v.20 no.1
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    • pp.58-64
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    • 2022
  • Breast ultrasonic reading is critical as a primary screening test for the early diagnosis of breast cancer. However, breast ultrasound examinations show significant differences in diagnosis based on the difference in image quality according to the ultrasonic equipment, experience, and proficiency of the examiner. Accordingly, studies are being actively conducted to analyze the texture characteristics of normal breast tissue, positive tumors, and malignant tumors using breast ultrasonography and to use them for computer-assisted diagnosis. In this study, breast ultrasonography was conducted to select 247 ultrasound images of 71 normal breast tissues, 87 fibroadenomas among benign tumors, and 89 malignant tumors. The selected images were calculated using a statistical method with 21 feature parameters extracted using the gray level co-occurrence matrix algorithm, and classified as normal breast tissue, benign tumor, and malignancy. In addition, we proposed five feature parameters that are available for computer-aided diagnosis of breast cancer classification. The average classification rate for normal breast tissue, benign tumors, and malignant tumors, using this feature parameter, was 82.8%.

Down-Regulation of CYP1A1 Expression in Breast Cancer

  • Hafeez, S.;Ahmed, A.;Rashid, Asif Z.;Kayani, Mahmood Akhtar
    • Asian Pacific Journal of Cancer Prevention
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    • v.13 no.5
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    • pp.1757-1760
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    • 2012
  • Breast cancer is a major cause of death in women worldwide. Mammary tissue expressing xenobiotic metabolizing enzymes metabolically activate or detoxify potential genotoxic breast carcinogens. Deregulation of these xenobiotic metabolizing enzymes is considered to be a major contributory factor to breast cancer. The present study is focused on the expression of the xenobiotic metabolizing gene, CYP1A1, in breast cancer and its possible relationships with different risk factors. Twenty five tumors and twenty five control breast tissue samples were collected from patients undergoing planned surgery or biopsy from different hospitals. Semi-quantitative reverse transcriptase polymerase chain reaction (RT-PCR) and western-blotting were used to investigate the expression of CYP1A1 in breast cancer control and disease samples. mRNA expression of CYP1A1 was down-regulated in 40% of breast tumor samples. Down-regulation was also observed at the protein level. Significnat relations were noted with marital status and tumour grade but not histopathological type. In conclusion, CYP1A1 protein expression was markedly reduced in tumor breast tissues samples as compared to paired control tissue samples.

Expression and Clinical Significance of Sushi Domain-Containing Protein 3 (SUSD3) and Insulin-like Growth Factor-I Receptor (IGF-IR) in Breast Cancer

  • Zhao, Shuang;Chen, Shuang-Shuang;Gu, Yuan;Jiang, En-Ze;Yu, Zheng-Hong
    • Asian Pacific Journal of Cancer Prevention
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    • v.16 no.18
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    • pp.8633-8636
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    • 2016
  • Background: To investigate the expression of insulin-like growth factor-I receptor (IGF-IR) and sushi domain containing protein 3 (SUSD3) in breast cancer tissue, and analyze their relationship with clinical parameters and the correlation between the two proteins. Materials and Methods: The expression of IGF-IR and SUSD3 in 100 cases of breast cancer tissues and adjacent normal breast tissues after surgery was detected by immunohistochemical technique MaxVisionTM, and the relationship with clinical pathological features was further analyzed. Results: The positive rate of IGF-IR protein was 86.0% in breast cancer, higher than 3.0% in adjacent normal breast tissue (P<0.05). The positive expression rate of SUSD3 protein was 78.0% in breast cancer, higher than 2.0% in adjacent normal breast tissue (P<0.05). The expression of IGF-IR and SUSD3 was related to estrogen receptor and pathological types (P<0.05),but not with age, stage, the expression of HER-2 and Ki-67 (P>0. 05). The expression of IGF-IR and SUSD3 in breast cancer tissue was positively related (r=0.553, P<0.01). Conclusions: The expression of IGF-IR and SUSD3 may be correlated to the occurrence and development of breast cancer. The combined detection of IGF-IR, SUSD3 and ER may play an important role in judging prognosis and guiding adjuvant therapy after surgery of breast cancer.

Superoxide Dismutase Isoenzyme Activities in Plasma and Tissues of Iraqi Patients with Breast Cancer

  • Hasan, Hathama Razooki;Mathkor, Thikra Hasan;Al-Habal, Mohammed Hasan
    • Asian Pacific Journal of Cancer Prevention
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    • v.13 no.6
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    • pp.2571-2576
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    • 2012
  • Breast cancer is the first of the most common ten cancers in Iraq. Its etiology is multifactorial, oxidative stress and lipid peroxidation being suggested to play important roles in carcinogenesis. The purpose of this study was to investigate the oxidant-antioxidant status in breast cancer patients, by measuring SOD isoenzyme activities (total SOD, CuZn-SOD, Mn-SOD and EC-SOD) in plasma and breast tumors, and by estimating thiobarbituric reactive substances (TBRS) in tissue homogenates. General increase in total SOD activity was observed in plasma and tissue samples of breast tumors, greater in the malignant when compared to benign group (p<0.05). Mn-SOD showed a significant decrease in tissue malignant samples (p<0.05), and insignificant decrease in plasma malignant samples compared with control and benign samples. Plasma EC-SOD activity in both patient benign and malignant breast tumors demonstrated 3.5% and 22.8% increase, respectively. However, there was a decrease in tissue EC-SOD activity in malignant breast tumors when compared with benign. A similar tendency was noted for TBRS. We suggest that elevated total SOD might reflect a response to oxidative stress, and then may predict a state of excess reactive oxygen species in the carcinogenesis process. If there is proteolytic removal of the heparin binding domain, EC-SOD will lose its affinity for the extracellular matrix and diffuse out of the tissue. This will result in a decreased EC-SOD activity, thus leading to an increase in the steady-state concentration of $O^{2-}$ in this domain, and increase in EC-SOD activity in the extracellular fluid. This might explain the results recorded here concerning the decrease in tissue EC-SOD activity and increase in plasma of breast cancer patients.

Mitochondrial DNA Levels in Blood and Tissue Samples from Breast Cancer Patients of Different Stages

  • Xia, Peng;Wang, Hui-Juan;Geng, Ting-Ting;Xun, Xiao-Jie;Zhou, Wen-Jing;Jin, Tian-Bo;Chen, Chao
    • Asian Pacific Journal of Cancer Prevention
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    • v.15 no.3
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    • pp.1339-1344
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    • 2014
  • Aims: Alterations in mitochondrial DNA (mtDNA) have been implicated in carcinogenesis and tumor progression. We here evaluated the diagnostic and prognostic potential of mtDNA as a biomarker for breast cancer. Methods: Using multiplex real-time polymerase chain reaction, nuclear DNA (nDNA) and mtDNA levels in serum, buffy coat, tumor, and tumor-adjacent tissue samples from 50 breast cancer patients were determined and assessed for associations with clinicopathological features. To evaluate mtDNA as a biomarker for distinguishing between the four sample types, we created receiver operating characteristic (ROC) curves. Results: The mtDNA levels in buffy coat were significantly lower than in other sample types. Relative to tumor-adjacent tissue, reduced levels of mtDNA were identified in buffy coat and tumor tissue but not in serum. According to ROC curve analysis, mtDNA levels could be used to distinguish between buffy coat and tumor-adjacent tissue samples with good sensitivity (77%) and specificity (83%). Moreover, mtDNA levels in serum and tumor tissue were positively associated with cancer TMN stage. Conclusions: The mtDNA levels in blood samples may represent a promising, non-invasive biomarker in breast cancer patients. Additional, large-scale validation studies are required to establish the potential use of mtDNA levels in the early diagnosis and monitoring of breast cancer.

CD103+ Cells and Chemokine Receptor Expression in Breast Cancer

  • Eun-Hye Seo;Ga-Yun Song;Chung-Sik Oh;Seong-Hyop Kim;Wan-Seop Kim;Seung-Hyun Lee
    • IMMUNE NETWORK
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    • v.23 no.3
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    • pp.25.1-25.15
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    • 2023
  • Mucosal environments harbour lymphocytes, which express several adhesion molecules, including intestinal homing receptors and integrin αE/β7 (CD103). CD103 binds E-cadherin, an integrin receptor expressed in intestinal endothelial cells. Its expression not only enables homing or retention of T lymphocytes at these sites but is also associated with increased T lymphocyte activation. However, it is not yet clear how CD103 expression is related to the clinical staging of breast cancer, which is determined by factors such as the size of the tumor (T), the involvement of nearby lymph nodes (N), and presence of metastasis (M). We examined the prognostic significance of CD103 by FACS in 53 breast cancer patients and 46 healthy controls enrolled, and investigated its expression, which contributes to lymphocyte recruitment in tumor tissue. Patients with breast cancer showed increased frequencies of CD103+, CD4+CD103+, and CD8+CD103+ cells compared to controls. CD103 was expressed at a high level on the surfaces of tumor-infiltrating lymphocytes in patients with breast cancer. Its expression in peripheral blood was not correlated with clinical TNM stage. To determine the localisation of CD103+ cells in breast tissue, tissue sections of breast tumors were stained for CD103. In tissue sections of breast tumors stained for CD103, its expression in T lymphocytes was higher compared to normal breast tissue. In addition, CD103+ cells expressed higher levels of receptors for inflammatory chemokines, compared to CD103- cells. CD103+ cells in peripheral blood and tumor tissue might be an important source of tumor-infiltrating lymphocyte trafficking, homing, and retention in cancer patients.

Detection of mass type-Breast Cancer using Homogeneity and Ranklets on Dense Mammographic Images (Homogeneity와 Ranklets를 이용한 치밀 유방에서의 종괴(mass)형 암 검출)

  • Park, Jun-Young;Chon, Min-Su;Kim, Won-Ha;Kim, Sung-Min
    • Proceedings of the KIEE Conference
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    • 2006.10c
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    • pp.148-150
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    • 2006
  • In this paper, we propose a new method for detection of mass-type breast cancer in dense mammogram. As the proposed method analyzes texture of the breast tissue using method by fusing Homogeneity and Ranklets, improve problem of traditional method. Homogeneity gives the measure of uniform density, and Ranklets determine orientation selective property at vertical, horizontal and diagonal in mass region. The proposed method is suitable to dense mammogram with tangled normal tissue and cancer tissue. SVM(Support Vector Machine) classifier is used for effective detection of mass-type breast cancer in dense mammogram.

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