• Title/Summary/Keyword: Breast Tumor

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Mouse models of breast cancer in preclinical research

  • Park, Mi Kyung;Lee, Chang Hoon;Lee, Ho
    • Laboraroty Animal Research
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    • v.34 no.4
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    • pp.160-165
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    • 2018
  • Breast cancer remains the second leading cause of cancer death among woman, worldwide, despite advances in identifying novel targeted therapies and the development of treating strategies. Classification of clinical subtypes (ER+, PR+, HER2+, and TNBC (Triple-negative)) increases the complexity of breast cancers, which thus necessitates further investigation. Mouse models used in breast cancer research provide an essential approach to examine the mechanisms and genetic pathway in cancer progression and metastasis and to develop and evaluate clinical therapeutics. In this review, we summarize tumor transplantation models and genetically engineered mouse models (GEMMs) of breast cancer and their applications in the field of human breast cancer research and anti-cancer drug development. These models may help to improve the knowledge of underlying mechanisms and genetic pathways, as well as creating approaches for modeling clinical tumor subtypes, and developing innovative cancer therapy.

A Clinical Database of Breast Cancer Patients Reveals Distinctive Clinico-pathological Characteristics: a Study From Central China

  • Wang, Lin-Wei;Yang, Gui-Fang;Chen, Jia-Mei;Yang, Fang;Yuan, Jing-Ping;Sun, Sheng-Rong;Chen, Chuang;Hu, Ming-Bai;Li, Yan
    • Asian Pacific Journal of Cancer Prevention
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    • v.15 no.4
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    • pp.1621-1626
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    • 2014
  • Background: Breast cancer is the most common malignant tumor in females worldwide. Many differences exist in clinico-pathological characteristics of breast cancer patients between China and Western countries. This study aimed to analyze clinico-pathological characteristics of breast cancer from central China. Methods: Clinico-pathological information on breast cancer from three hospitals in central China was collected and analyzed. Results: From 1994 to 2012, 2,525 patients with a median age 50 years were included in this study. The 45-49-year age group and invasive ductal carcinoma not otherwise specified accounted for the highest proportions (19.1%, 480/2,525 and 81.0%, 1,982/2,446). Stages 0-I, II and III accounted for 28.0% (682/2,441), 48.4% (1,180/2,441), and 23.7% (578/2,441), respectively. Distribution of N stage showed that N0 accounted for 53.2% (1,344/2,525), and proportion of N0 rose from 51.1% (157/307) in 30-39-year age group to 64.3% (110/171) in ${\geq}$ 70-year age group, with an average increase of 2.1% in each age group. Modified radical mastectomy, radical mastectomy, breast-conserving surgery and simple mastectomy were performed for 71.8% (1,812/2,525), 18.0% (454/2,525), 5.2% (131/2,525) and 2.6% (66/2,525), respectively. Proportions of breast-conserving surgery in age ${\leq}$ 44-year group (68/132, 51.5%) and simple mastectomy in age ${\geq}$ 60-year group (57/89, 64.0%) were higher than in the other age groups. Breast cancers positive for estrogen receptor accounted for 53.0% (1,107/ 2,112). The comparisons among this study and other reports showed higher proportion of younger patients, lower proportion of breast-conserving surgery and positive estrogen receptor patients in China than western countries. Conclusions: Clinico-pathological characteristics in this study demonstrated clear differences between the center of China than Western countries. Additional classification systems should be developed to guide grading of early breast cancer more accurately, especially for N0 patients. Invasive ductal carcinoma is a focus for intensive research.

Effects of Differential Distribution of Microvessel Density, Possibly Regulated by miR-374a, on Breast Cancer Prognosis

  • Li, Jian-Yi;Zhang, Yang;Zhang, Wen-Hai;Jia, Shi;Kang, Ye;Tian, Rui
    • Asian Pacific Journal of Cancer Prevention
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    • v.14 no.3
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    • pp.1715-1720
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    • 2013
  • Background: The discovery that microRNAs (miRNAs) regulate proliferation, invasion and metastasis provides a principal molecular basis of tumor heterogeneity. Microvessel distribution is an important characteristic of solid tumors, with significant hypoxia occurring in the center of tumors with low blood flow. The distribution of miR-374a in breast tumors was examined as a factor likely to be important in breast cancer progression. Methods: Breast tissue samples from 40 patients with breast cancer were classified into two groups: a highly invasive and metastatic group (HIMG) and a low-invasive and metastatic Group (LIMG). Samples were collected from the center and edge of each tumor. In each group, six specimens were examined by microRNA array, and the remaining 14 specimens were used for real-time RT-qPCR, Western blot and immunohistochemical analyses. Correlation analysis was performed for the miRNAs and target proteins. Follow-up was carried out during 28 months to 68 months after surgery, and survival data were analyzed. Results: In the LIMG, the relative content of miR-374a was lower in the center of the tumor than at its edge; in the HIMG, it was lower at the edge of the tumor, and miR-374a levels were lower in breast cancer tissues than in normal tissues. There was no difference between VEGF-A and VCAM-1 mRNA levels at the edge and center of the tumor; however, we observed a significant difference between VEGF-A and VCAM-1 protein expression levels in these two regions. There was a negative correlation between miR-374a and target protein levels. The microvessel density (MVD) was lower in the center of the tumor than at its edge in HIMG, but the LIMG vessels were uniformly distributed. There was a significant positive correlation between MVD and the number of lymph node metastases (Pearson correlation, r=0.912, P<0.01). The median follow-up time was 48.5 months. LIMG had higher rate of disease-free survival (100%, P=0.013) and longer median survival time (66 months) than HIMG, which had a lower rate of 75% and shorter median survival time (54 months). Conclusions: Our data demonstrated miR-374a to be differentially distributed in breast cancer; VEGF-A and VCAM-1 mRNA had coincident distribution, and the distribution of teh respective proteins was uneven and opposite to that for the miR-374a. These data might explain the differences in the distribution of MVD in breast cancer and variation in breast cancer prognosis.

Malignant Phyolldes Tumor of the Breast Metastatic to the Lung - A Case Report of Fine Needle Aspiration Cytologic Features - (폐로 전이한 유방의 악성 엽상종양 - 세침흡인 세포학적 소견의 1례 보고 -)

  • Yim, Hyun-Ee;Lee, Kwang-Gil
    • The Korean Journal of Cytopathology
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    • v.4 no.2
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    • pp.160-165
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    • 1993
  • Phyllodes tumor of the breast, especially malignant, is a rare tumor which has characteristic cytologic features. We recently experienced a case of fine needle aspiration cytology of malignant phyllodes tumor of the breast metastatic to the lung. The aspirate showed cellular smear with biphasic population of epithelial and stromal cells. Many individual large cells with round hyperchromatic nuclei were found in the necrotic background and stromal cell atypia was also present. Chondrosarcomatous fragments were also seen in cytologic specimens.

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Clinicopathological and Prognostic Characteristics of Triple-Negative Breast Cancer (TNBC) in Chinese Patients: A Retrospective Study

  • Li, Chun-Yan;Zhang, Sheng;Zhang, Xiao-Bei;Wang, Pei;Hou, Guo-Fang;Zhang, Jin
    • Asian Pacific Journal of Cancer Prevention
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    • v.14 no.6
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    • pp.3779-3784
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    • 2013
  • Aims: To determine the clinical, pathological and prognostic features associated with triple-negative breast cancer (TNBC). Methods: Clinical and histologic data of 21,749 breast cancer patients who were treated at Tianjin Medical University Cancer Institute and Hospital between July 2002 and December 2011 were collected. Patients were divided into two groups: those with TNBC and those with other types of breast cancer. Patients and tumor characteristics were compared between the two groups using the Chi-square test. The prognostic results of 9,823 patients in the study population were also analyzed to determine long-term survival rates in the two groups of breast cancer patients. Results: Among the breast cancer patients treated in our hospital between 2003 and 2011, 10.4%-13.5% of them had triple-negative breast cancers. Data analyses revealed significant differences in disease onset age, family history of breast cancer, tumor size, tumor histologic grade, lymph note positivity and metastatic status between TNBC and non-TNBC patients. There were also significant differences in 5-year, 7-year and 9-year disease-free and 7-year and 9-year overall survival probability between the groups. Conclusions:TNBC are associated with younger disease onset age, larger tumor size, higher rate of axillary lymph node positivity, and higher tumor histologic grade. TNBC is also related to family history of breast cancer, increased metastatic risk and poor prognosis.

Common plasma protein marker LCAT in aggressive human breast cancer and canine mammary tumor

  • Park, Hyoung-Min;Kim, HuiSu;Kim, Dong Wook;Yoon, Jong-Hyuk;Kim, Byung-Gyu;Cho, Je-Yoel
    • BMB Reports
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    • v.53 no.12
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    • pp.664-669
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    • 2020
  • Breast cancer is one of the most frequently diagnosed cancers. Although biomarkers are continuously being discovered, few specific markers, rather than classification markers, representing the aggressiveness and invasiveness of breast cancer are known. In this study, we used samples from canine mammary tumors in a comparative approach. We subjected 36 fractions of both canine normal and mammary tumor plasmas to high-performance quantitative proteomics analysis. Among the identified proteins, LCAT was selectively expressed in mixed tumor samples. With further MRM and Western blot validation, we discovered that the LCAT protein is an indicator of aggressive mammary tumors, an advanced stage of cancer, possibly highly metastatic. Interestingly, we also found that LCAT is overexpressed in high-grade and lymph-node-positive breast cancer in silico data. We also demonstrated that LCAT is highly expressed in the sera of advanced-stage human breast cancers within the same classification. In conclusion, we identified a possible common plasma protein biomarker, LCAT, that is highly expressed in aggressive human breast cancer and canine mammary tumor.

Serum Phospholipid Fatty Acids in Benign Breast Tumor and Breast Cancer (양성 유방 종양과 유방암 환자의 혈청 인지질 지방산 조성)

  • Shim, Eu-Gene;Ahn, Sei-Hyun;Hwang, You-Jeong;Leekim, Yang-Cha
    • Journal of Nutrition and Health
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    • v.42 no.3
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    • pp.213-220
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    • 2009
  • Studies on the relationship between blood fatty acids and the risk of breast cancer have not yielded definite conclusions. The role of fatty acids in the development and progression of breast cancer is unclear. We conducted a case-control study to determine serum phospholipid fatty acid composition in benign breast tumor and breast cancer. Subjects consisted of 27 benign breast tumor and 68 breast cancer patients, and 28 matched controls. The levels of fatty acids were measured by gas chromatography. Higher arachidonic and palmitic acids were observed in breast cancer patients as compared with control and benign breast tumor patients. The percentage of total saturated fatty acids in breast cancer was higher than in control and benign breast tumor patients. The level of stearic acid was lower in benign breast tumor and breast cancer patients. Saturation index, the ratio of stearic to oleic acid, was lower in benign breast tumor and breast cancer patients compared to the control. Moreover, stearic acid was negatively and arachidonic acid was positively correlated with the cancer stage. In conclusion, our results support that serum phospholipid compositions of specific fatty acids are associated with the risk of benign breast tumor as well as breast cancer. Further studies are necessary to investigate mechanisms linked to the breast cancer etiology.

Bcl-2 Gene Expression in Human Breast Cancers in Iran

  • Rostamizadeh, Leila;Fakhrjou, Ashraf;Montazeri, Vahid;Estiar, Mehrdad Asghari;Naghavi-Behzad, Mohammad;Hosseini, Somayyeh;Sakhinia, Masoud;Sakhinia, Ebrahim
    • Asian Pacific Journal of Cancer Prevention
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    • v.14 no.7
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    • pp.4209-4214
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    • 2013
  • Background: Breast cancer is among the five most common cancers and ranks first among cancers diagnosed in Iranian women. Screening and treatment of this disease with molecular methods, especially regarding high incidences at early age and advanced stage, is essential. Several genes with altered expression have been identified by cDNA microarray studies in breast cancer, with the Bcl-2 gene indicated as a likely candidate. In this study, we studied Bcl-2 gene expression levels in parallel tumor and non-tumor breast tissues. Materials and Methods: Forty samples including 21 tumor, 16 non tumor (marginal) and 3 benign breast tissues which were all pathologically diagnosed, were subjected to RNA extraction and polyA RT-PCR with the expression level of Bcl-2 quantified using real-time PCR. Results: There is higher expression levels of the Bcl-2 gene in tumor samples compared with marginal samples, but not attaining significance(p>0.05). Bcl-2 expression in 14 (66.7%) of the cases of tumor samples and 9 (56.3%) cases of the marginal samples were positive. Comparison of the expression of the Bcl-2 gene in histological grade showed that a high expression of Bcl-2 was associated with a high histological grade (p<0.41). Conclusions: Our data suggests that dysregulated Bcl-2 gene expression is potentially involved in the pathogenesis of breast cancer. Using gene expression analysis may significantly improve our ability for screening cancer patients and will prove a powerful tool in the diagnosis and prognostic evaluation of the disease whilst aiding the cooperative group trials in the Bcl-2 based therapy project.

Inhibitory Effect of D-pinitol on Both Growth and Recurrence of Breast Tumor from MDA-MB-231 Cancer Cells (D-Pinitol의 유방암 증식 및 재발 억제 효능)

  • Kim, Yoon-Seob;Park, Ji-Sung;Kim, Minji;Hwang, Bang Yeon;Lee, Chong-Kil;Song, Sukgil
    • Korean Journal of Pharmacognosy
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    • v.45 no.2
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    • pp.174-180
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    • 2014
  • D-Pinitol, an anti-diabetic substance, is a naturally occurring compound found in legumes. In this study, we investigated the inhibitory effect of D-pinitol on growth and recurrence of breast cancer. When D-pinitol was treated on MDA-MB-231 or MCF-7 breast cancer cells, it was observed that the viability of the two cancer cell lines was reduced in MTT assay. In order to examine the effect on the growth of breast tumor, mouse xenograft assay was carried out. On day 0, nine millions cells of MDA-MB-231 were injected subcutaneously into nude mouse and D-pinitol was administered orally at the dose of 500 mg/kg or 1000 mg/kg body weight for consecutive 45 days. Tumor size was reduced in dose-dependent manner upto 95.4% in 1000 mpk-treated group, compared with the non-treated control group. When D-pinitol was co-administrated with $4{\mu}g$ of doxorubicin, recurrence of breast tumor was delayed by two weeks, compared with the mouse group of doxorubicin monotherapy. Consistent with this data, it was observed that the population of cancer stem cells (CSCs), responsible for recurrence of cancer, within tumor mass was significantly reduced. Taken together, D-pinitol inhibits the growth of breast cancer and relapse of the tumor by suppressing the proliferation of CSCs.

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%.