Breast cancer image classification using pattern-based Hyper Conceptual Sampling method
Tooba SalahuddinFatima HaouariFahad IslamRahma AliSara Al-RasbiNada Mahmoud AboueataEman RezkAli Jaoua
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Abstract:
The increase in biomedical data has given rise to the need for developing data sampling techniques. With the emergence of big data and the rise of popularity of data science, sampling or reduction techniques have been assistive to significantly hasten the data analytics process. Intuitively, without sampling techniques, it would be difficult to efficiently extract useful patterns from a large dataset. However, by using sampling techniques, data analysis can effectively be performed on huge datasets, to produce a relatively small portion of data, which extracts the most representative objects from the original dataset. However, to reach effective conclusions and predictions, the samples should preserve the data behavior. In this paper, we propose a unique data sampling technique which exploits the notion of formal concept analysis. Machine learning experiments are performed on the resulting sample to evaluate quality, and the performance of our method is compared with another sampling technique proposed in the literature. The results demonstrate the effectiveness and competitiveness of the proposed approach in terms of sample size and quality, as determined by accuracy and the F1-measure.Keywords:
Contextual image classification
Objective : To evaluate the distributing and expression of insulin-like growth,factor-1 receptor of LN( - ) breast cancer, UN( + ) breast cancer and normal breast tissue. Methods: The IGF-1R expression on LN( - )breast cancer, LN( + ) breast cancer and normal breast tissue was tested by im-munohistochemistry. Results: The positive rateon LN( - ) breast cancer was 94.12%o(16/17), on LN/( + )breast cancer was 91.30%o(21/23) ,and on normal breast tissue was 58.33% (7/12) . The number of strongstein was 12 on LN( - )breast cancer(strong stein rayte70.59%) , and 8 on LN( + ) breast cancer(strong stein rate 34.78% ) . The positive rate on the LN( - )breast cancer and LN( + ) breast cancer was higer than it on the normal breast tissue( P 0.05) , the overexpression rate on the LN ( - ) breast cancer was higher than it on LN ( + ) breast cancer( P 0.05 ) . Conclusion : These data suggested that IGF-1R play an important role in pathogenesis and development of breast cancer. IGF-1R maybe a adjuvant indexfor diagnosing to breast cancer and estimating prognosis.
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We aimed to estimate the 15-year and lifetime risks of contralateral breast cancer in breast cancer patients according to the age of diagnosis of the first cancer and the history of breast cancer in the mother. The risks of contralateral breast cancer were estimated for all 78,775 breast cancer patients in the Swedish Family-Cancer Database (age at diagnosis of first breast cancer <70 years). The risk of experiencing a contralateral breast cancer within 15 years of diagnosis was 8.4% [95% confidence interval (CI): 8.1-8.7%] for women with an unaffected mother, was 12% (95%CI: 11-13%) for a woman with a mother with unilateral breast cancer and was 13% (95%CI: 9.5-17%) for women with a mother with bilateral breast cancer. In early-onset diagnosed women (<50 years) with an unaffected mother, the risk of contralateral breast cancer until age 80 was 23% (95%CI: 20-26%) and for late-onset (50-69 years) diagnosed women it was 17% (95%CI: 14-21%). In a woman with a mother with an early-onset unilateral breast cancer, risk of contralateral breast cancer by age 80 was 35% (95%CI: 25-46%). Women with a mother with early-onset bilateral breast cancer had 31% (95%CI: 12-67%) lifetime risk of contralateral breast cancer. The risk of contralateral breast cancer is higher for daughters of breast cancer patients than for daughters of women without breast cancer. Maternal cancer history and age at onset of first breast cancer in women should be taken into account when counseling breast cancer patients about their risk of contralateral breast cancer.
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The authors evaluated 5623 cases of primary breast cancer followed for 1 to 21 years. Overall and breast cancer death rates were determined and compared to expected rates. Breast cancer patients showed overall and breast cancer death rates significantly higher than expected and which persisted at long-term follow-up. The observed/expected overall death ratios for follow-up periods of 0-5, 6-10, 11-15 or 16-20 years were 3.61, 2.55, 1.60 and 2.11, respectively. Death rates from breast cancer at 5, 10, 15 and 20 years were 20%, 32%, 40% and 48% respectively. The evidence of a persistent excess mortality even after long-term follow-up suggests the hypothesis that breast cancer is a systemic disease when clinically diagnosed. This study provided no evidence of a "clinical" cure for breast cancer patients. Even for N- patients the 5, 10, 15 and 20 year death rates from breast cancer were 12%, 20%, 28% and 38%, respectively. N- breast cancer, which is currently considered as a localized disease cured by surgery in most cases, would be better regarded to as a slow-growing metastatic disease, although "personal" cure may be achieved in many subjects dying of causes other than breast cancer.
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Breast tissue
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Epidemiology of cancer
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BRCA Mutation
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The relationships between serum levels of trace elements and breast cancer remain relatively unknown. In this study, we investigate serum levels of seven trace elements in Korean breast cancer patients compared to controls without breast cancer. Serum trace element levels were determined using inductively coupled plasma mass spectrometry in Korean breast cancer patients before initiation of breast cancer treatment. Korean females without breast cancer served as a control group. Trace element levels were measured in the discovery cohort (n = 287) and were validated in an independent cohort (n = 142). We further investigated possible associations between trace element levels and the presence of lymph node metastasis, distant metastasis, or triple-negative breast cancer among breast cancer patients in subgroup analyses. Serum manganese and molybdenum levels were significantly higher (p < 0.05) in breast cancer patients than in controls. Serum copper levels were significantly higher in breast cancer patients with distant metastasis, while selenium levels were significantly lower. Other trace elements were neither significantly different between breast cancer patients and controls nor between subgroups of breast cancer patients. Our study provides insights about the potential roles and impacts of trace elements through an assessment of the associations between trace elements and breast cancer.
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Objective: Breast cancer is one of the most important public health problems among women worldwide. It is a major cause of morbidity especially among women in developing countries including Thailand. The purpose of this study was to study the expression of LPHN3 protein in normal breast tissue compared to breast cancer tissue. Methods: We had studied the expression of LPHN3 in 65 breast tissues using an immunohistochemistry method. The association between LPHN3 expression and breast cancer metastasis to nearby axillary lymph nodes was also examined. Results: Among the 65 breast cancer and normal breast tissues examined, LPHN3 expression with an immunohistochemistry index (IHC index) greater than 4 was more frequently found in breast cancer tissues than in normal breast tissues (P-value = 0.001, OR (95% CI) = 7.04 (2.16-23)). Moreover, a high expression of LPHN3 (IHC index > 4) was more frequently found in breast cancer tissues with negative axillary lymph nodes than in those with positive ones (P-value = 0.038, OR (95% CI) = 0.25 (0.07-0.96)). LPHN3 protein might be a new metastasis suppressor gene in breast cancer and a marker for breast cancer metastasis prevention. Conclusions: The present study indicated that a decrease of LPHN3 protein expression in breast cancer tissue might be a marker indicating the aggressiveness of breast cancer. These results also suggested that a decrease of LPHN3 expression could be functionally involved in breast cancer progression and metastasis.
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MicroRNAs have emerged as new diagnostic and therapeutic biomarkers for breast cancer. Herein, we analysed miR-99a-5p expression levels in primary tumours and plasma of breast cancer patients to evaluate its usefulness as a minimally invasive diagnostic biomarker. MiR-99a-5p expression levels were determined by quantitative real-time PCR in three independent cohorts of patients: (I) Discovery cohort: breast cancer tissues (n = 103) and healthy breast tissues (n = 26); (II) Testing cohort: plasma samples from 105 patients and 98 healthy donors; (III) Validation cohort: plasma samples from 89 patients and 85 healthy donors. Our results demonstrated that miR-99a-5p was significantly downregulated in breast cancer tissues compared to healthy breast tissues. Conversely, miR-99a-5p levels were significantly higher in breast cancer patients than in healthy controls in plasma samples from both testing and validation cohorts, and ROC curve analysis revealed that miR-99a-5p has good diagnostic potential even to detect early breast cancer. In conclusion, miR-99a-5p’s deregulated expression distinguished healthy patients from breast cancer patients in two different types of samples (tissues and plasma). Interestingly, expression levels in plasma were significantly lower in healthy controls than in early-stage breast cancer patients. Our findings suggest circulating miR-99a-5p as a novel promising non-invasive biomarker for breast cancer detection.
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