• Journal of Breast Disease
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• v.6 no.2
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• pp.73-78
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• 2018

Primary angiosarcoma of the breast is extremely rare and is observed in 0.0005% to 0.05% of primary breast tumor cases. The diagnosis of this tumor is difficult due to its undefined characteristics. Radiologic findings are often nonspecific and appear completely normal in one-third of patients with primary angiosarcomas. The prognosis is usually poor, and the treatment choices include mastectomy or wide excision. Radiotherapy and chemotherapy produce varying results. We report a patient with primary angiosarcoma of the breast to further our understanding of the characteristics of this tumor and facilitate the correct diagnosis of breast angiosarcoma.

• 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%.

• Investigative Magnetic Resonance Imaging
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• v.21 no.4
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• pp.269-272
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• 2017

Periductal stromal sarcoma (PSS) is a type of rare malignant fibroepithelial tumor. PSS is a recently introduced diagnostic entity and there are few reports about radiological features of this tumor. Pre-operative diagnosis is difficult because it reveals similar symptoms with other benign and malignant tumors with absence of specific radiologic findings. We present a woman age 30 that underwent mammotome biopsy for a BI-RADS 4 lesion on her left breast and received histopathology diagnosis of a phyllodes tumor. Additionally, she underwent a wide excision depending on her histopathology diagnosis. Her final diagnosis was PSS. Six months later, no recurrence was detected. However, frequent follow-up is needed because PSS can develop into phyllodes tumor or entity of breast cancer.

• The Korean Journal of Cytopathology
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• v.18 no.2
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• pp.157-160
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• 2007

Granular cell tumor (GCT) of the breast is a rare clinical entity, and is believed to be of schwannian origin and to follow a benign clinical course. A 50-year-old woman presented with a slowly growing mass in the right breast. Fine needle aspiration cytology revealed a cellular smear containing isolated or clustered cells showing round to oval nuclei with abundant oncocytic granular cytoplasm. Nuclei showed a fine granular chromatin pattern and occasional small single nucleoli. Cell boundaries were poorly defined, and naked nuclei were frequently found, Histologically, the tumor showed features of typical GCT, and immunohistochemical staining findings strongly supported the diagnosis. The present study demonstrates that GCT of the breast can mimic malignant lesions of breast both clinically and radiologically. The recognition of its cytologic features and suspicion of this lesion would undoubtedly aid the correct diagnosis of mammary GCT.

• Journal of Korea Society of Industrial Information Systems
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• v.21 no.6
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• pp.13-21
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• 2016

Feature selection is the one of important issue in the field of data mining and machine learning. It is the technique to find a subset of features which provides the best classification performance, from the source data. We propose a feature subset selection method using the neighborhood rough set model based on information granularity. To demonstrate the effectiveness of proposed method, it was applied to select the useful features associated with breast tumor diagnosis of 298 shape features extracted from 5,252 breast ultrasound images, which include 2,745 benign and 2,507 malignant cases. Experimental results showed that 19 diagnostic features were strong predictors of breast cancer diagnosis and then average classification accuracy was 97.6%.

• Asian Pacific Journal of Cancer Prevention
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• v.17 no.2
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• pp.759-765
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• 2016

Background: Breast cancer is the most frequent cancer of women in Pakistan with the majority presenting with stage III or IV lesionsat initial diagnosis. Patient and health system related factors are well known determinants of delay in presentation and diagnosis. Additionally, breast cancer being a heterogeneous disease, the various molecular subtypes featuring different aggressiveness also need to be considered. The present study evaluated the association of stage at initial diagnosis of breast cancer with these two factors in local women at a tertiary level health care facility in Lahore, Pakistan. Materials and Methods: Patient and tumor features were recorded separately during diagnostic workup in Breast Clinics at INMOL and at Services Hospital, Lahore. Data were entered in MS Excel and analyzed by descriptive statistics and Chi-Square test. Results: Among the 261 patients, 64% were staged as late breast cancer (LBC), the mean age was 46.8 with standard deviation of 13 years. Some 92% had invasive ductal carcinoma (IDC), 61% had luminal types (LT) of non-aggressive tumor while 39% had the non-luminal types (NLT) of of HER2-enriched or basal aggressive tumors. While 70% of patients presented within one year of symptomatic disease (early report group "ERG"), 30% reported after a mean delay of 4 years with a standard deviation of 3.75 years. The stage distribution among ERG patients was not statistically different from those reporting late (P=0.123). Statistically larger proportion of patients with NLT presented as LBC as compared to the LT (P =0.034). Among the ERG, statistically different stage distribution of disease was observed for the NLT versus LT (P=0.047). Among those presenting late, this difference was insignificant (P=0.416). Conclusions: Breast cancer is a distinct disease in Pakistan with a high frequency of aggressive molecular types affecting younger women, with the majority presenting as LBC. Association of NLT with higher stage at diagnosis is statistically significant whereas time delay in diagnosis is not. Further research is required to define the risk profile and features in local patients. The burden of LBC can be reduced by promoting breast health awareness and by establishing easily accessible dedicated breast care set ups in the hospitals.

• Asian Pacific Journal of Cancer Prevention
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• v.16 no.3
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• pp.1047-1049
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• 2015

Background: This systematic analysis was conducted to investigate pathological diagnosis of vertebral tumor metastasis with unknown primaries. Methods: Clinical studies conducted to pathologically investigate vertebral tumor metastasis were identified using a predefined search strategy. Pooled diagnosis (PD) of each pathological confirmation was calculated. Results: For vertebral tumor metastasis, 5 clinical studies which included 762 patients were considered eligible for inclusion. Systematic analysis suggested that, for all patients with vertebral tumor metastasis, dominant PD was pathologically confirmed with lung cancer in 21.7% (165/762), with breast cancer in 26.6% (203/762) and with prostate cancer in 19.2% (146/762). Other diagnosis that could be confirmed included lymphoma, multiple myeloma, renal cancer, for example, in this cohort of patients. Conclusions: This systemic analysis suggested that breast, lung and prostate lesions could be the most common pathological types of cancer for vertebral tumor metastasis formunknown primaries, and other common diagnoses could include lymphoma, multiple myeloma, renal cancer.

• Asian Pacific Journal of Cancer Prevention
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• v.15 no.1
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• pp.265-271
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• 2014

Interleukin-7 (IL-7) is a potent anti-apoptotic cytokine that enhances immune effector cell functions and is essential for lymphocyte survival. While it known to induce differentiation and proliferation in some haematological malignancies, including certain types of leukaemias and lymphomas, little is known about its role in solid tumours, including breast cancer. In the current study, we investigated whether IL-7 could enhance the in vivo antitumor activity of tumor-reactive $CD8^+$ T cells with induction of IFN-${\gamma}$ in a murine breast cancer model. Human IL-7 cDNA was constructed into the eukaryotic expression plasmid pcDNA3.1, and then the recombinational pcDNA3.1-IL-7 was intratumorally injected in the TM40D BALB/C mouse graft model. Serum and intracellular IFN-${\gamma}$ levels were measured by ELISA and flow cytometry, respectively. $CD8^+$ T cell-mediated cytotoxicity was analyzed using the MTT method. Our results showed that IL-7 administration significantly inhibited tumor growth from day 15 after direct intratumoral injection of pcDNA3.1-IL-7. The anti-tumor effect correlated with a marked increase in the level of IFN-${\gamma}$ and breast cancer cells-specific CTL cytotoxicity. In vitro cytotoxicity assays showed that IL-7-treatment could augment cytolytic activity of $CD8^+$ T cells from tumor bearing mice, while anti-IFN-${\gamma}$ blocked the function of $CD8^+$ T cells, suggesting that IFN-${\gamma}$ mediated the cytolytic activity of $CD8^+$ T cells. Furthermore, in vivo neutralization of $CD8^+$ T lymphocytes by CD8 antibodies reversed the antitumor benefit of IL-7. Thus, we demonstrated that IL-7 exerts anti-tumor activity mainly through activating $CD8^+$ T cells and stimulating them to secrete IFN-${\gamma}$ in a murine breast tumor model. Based on these results, our study points to a potential novel way to treat breast cancer and may have important implications for clinical immunotherapy.

• Asian Pacific Journal of Cancer Prevention
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• v.16 no.3
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• pp.1063-1067
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• 2015

Background: Tumor associated fatigue (TAF) or cancer related fatigue (CRF) is not a new concept. Nonetheless, no real headway has been made in the quantitative analysis of its successful treatment via cognitive behavioral therapy. Since 20 to 30% of all breast cancer patients suffer from anxiety and/or depression within the first year of their diagnosis, this issue needs to be addressed and a standard treatment protocol has to be developed. This study focused on developing a simple, reproducible and short (8 weeks) protocol for the cognitive behavioral therapy support of tumor associated fatigue patients. Materials and Methods: Between the year 2011 and 2012, 23 breast cancer patients fulfilled the diagnosis TAF requirements and were introduced into this study. Our method focused on a psycho-oncological support group using a predetermined, highly structured and reproducible, cognitive behavioral therapy treatment manual. Eight weekly, 90 minute sessions were conducted and patients were evaluated before and after this eight session block. Tumor fatigue specific questionnaires such as the multidimensional fatigue inventory (MFI) as well as the hospital anxiety and depression scale (HADS) were used in order to quantitatively evaluate patient TAF. Results: Of the 23 patients enrolled in the study, only 7 patients fulfilled the TAF diagnostic criteria after the psycho-oncological group treatment. This represents a 70% reduction in diagnosable tumor associated fatigue. The HADS analysis showed a 33% reduction in patient anxiety as well as a 57% reduction in patient depression levels. The MFI scores showed a significant reduction in 4 of the 5 evaluate categories. With the exception of the "mental fatigue" MFI category all results were statistically significant. Conclusions: This study showed that a highly structured, cognitive behavioral therapy group intervention will produce significant improvements in breast cancer patient tumor associated fatigue levels after only 8 weeks.

• Asian Pacific Journal of Cancer Prevention
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• v.14 no.4
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• pp.2433-2437
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• 2013

Vascular endothelial growth factor (VEGF) is a potent regulator of angiogenesis and thereby involved in the development and progression of solid tumours. Associations between three VEGF gene polymorphisms (-634 G/C, +936 C/T, and +1612 G/A) and breast cancer risk have been extensively studied, but the currently available results are inconclusive. Our aim was to investigate associations between three VEGF gene polymorphisms and breast cancer risk in Chinese Han patients. We performed a hospital-based case-control study including 680 female incident breast cancer patients and 680 female age-matched healthy control subjects. Polymerase chain reaction restriction fragment length polymorphism (PCR-RFLP) analysis was performed to detect the three VEGF gene polymorphisms. We observed that women carriers of +936 TT genotypes [odds ratio (OR) =0.46, 95% confidence interval (CI) = 0.28, 0.76; P=0.002] or 936 T-allele (OR=0.81, 95% CI= 0.68, 0.98; P=0.03) had a protective effect concerning the disease. Our study suggested that the +1612G/A polymorphism was unlikely to be associated with breast cancer risk. The -634CC genotype was significantly associated with high tumor aggressiveness [large tumor size (OR=2.63, 95% CI=1.15, 6.02; P=0.02) and high histologic grade (OR=1.47, 95% CI= 1.06, 2.03; P=0.02)]. The genotypes were not related with other tumor characteristics such as regional or distant metastasis, stage at diagnosis, or estrogen or progesterone receptor status. Our study revealed that the VEGF -634 G/C and +936 C/T gene polymorphisms may be associated with breast cancer in Chinese Han patients.