ObjectiveTo understand the function of trace element and amino acids detection in early diagnosis of breast cancer, and explore the correlation between plasma amino acid and trace element changes.
MethodsFifty-five patients with breast cancer and 50 normal controls were included in our study from May 2012 to June 2013. Trace elements were detected by atomic absorption spectrophotometer, and the level of amino acids was detected by Hitachi L-8900 amino acids analyzer. Then, we analyzed the correlation between the two indexes.
ResultsCompared with the normal controls, breast cancer patients had a higher level of Cu and Fe (P<0.05), and a lower level of Zn (P<0.05). Seven kinds of amino acids had significant changes (P<0.05), including three kinds of increased amino acids, and four reduced. Amino acids and trace element correlation analysis showed that Mg was negatively correlated with Leu, Tyr, Lys, and His; and Ca was negatively correlated with Lys and His.
ConclusionThere are many kinds of changes of plasma amino acids and trace elements in breast cancer patients. Serum trace element and amino acids detection in patients with breast cancer are helpful in the severity judgment and regimen design.
【Abstract】ObjectiveTo evaluate the localized biopsy of nonpalpable breast lesions (NPBLs) and its role in the early diagnosis and treatment of breast cancer. MethodsOne hundred and fifty-eight NPBLs from a series of 141 women detected by mammography were resected with wire localization technique. ResultsForty-two lesions (26.6%, 42/158) in 42 patients were diagnosed with malignant result, including 12(28.6%) patients with stage 0 breast cancer, 24(57.1%) with stageⅠ, 2(4.8%) with stage Ⅱ and 4(9.5%) with stage Ⅲ disease according to American Joint Committee on Cancer (AJCC) staging system（the 6th edition）. The contralateral axillary lymph nodes metastasis were found in only one (2.4%) patient with stage Ⅲ disease and the other fortyone patients remained free of recurrent disease at a median follow-up of 31 months.ConclusionThe results showed that the most nonpalpable breast cancers detected by mammography were earlystage breast cancers and had good prognosis. The NPBLs should get a localized biopsy in order to facilitate the early diagnosis and treatment of nonpalpable breast cancers.
【Abstract】Objective Stromal cell-derived factor-1(SDF-1, CXCL12) is a member of the CXC subfamily of chemokines which, through its cognate receptor (CXCR4), plays an important role in tumor invasion and metastasis. This study analyzed quantitatively the expression of SDF-1 and its relation with clinicopathologic feature and clinical outcome in human breast cancer.Methods Expression of SDF-1 mRNA in 8 breast cancer cell lines, an endothelial cell line HECV and a fibroblast cell MRC5 was studied by using RT-PCR. In addition, the expression of SDF-1 was investigated at both protein (immunohistochemistry) and mRNA(real-time PCR) levels in a group of human normal mammary(n=32) and tumour tissues(n=120). Results SDF-1 expression was identified in MRC5, MDA-MB435s, MDA-MB436, MCF7 cell lines, breast tumour and normal tissues. Significantly higher level of SDF-1 was seen in lymph node positive than in lymph node negative tumours (399.00±210.00 vs 0.89±0.47), P=0.048. The level of SDF-1 expression in patients who developed local recurrence or metastasis, or patients who died of breast cancer was higher than in patients who were disease free as well, (670.00±346.00 vs 0.83±0.35), P=0.01. It was most notable that level of SDF-1 was significantly correlated with over survival (P=0.01) and incidence free survival (P=0.035, by Cox proportion analysis).Conclusion SDF-1 is a factor that is expressed in both stromal cells and some breast cancer cells. Its level are correlated with lymph node involvement, prognosis and survival in patients with breast cancer. SDF-1 may therefore have a potential prognostic value in breast cancer.
Breast cancer is a malignancy caused by the abnormal proliferation of breast epithelial cells, predominantly affecting female patients, and it is commonly diagnosed using histopathological images. Currently, deep learning techniques have made significant breakthroughs in medical image processing, outperforming traditional detection methods in breast cancer pathology classification tasks. This paper first reviewed the advances in applying deep learning to breast pathology images, focusing on three key areas: multi-scale feature extraction, cellular feature analysis, and classification. Next, it summarized the advantages of multimodal data fusion methods for breast pathology images. Finally, the study discussed the challenges and future prospects of deep learning in breast cancer pathology image diagnosis, providing important guidance for advancing the use of deep learning in breast diagnosis.
Objective To detect the expressions of osteopontin （OPN）， breast tumor kinase （Brk）， and vascular endothelial growth factor （VEGF） in the breast cancer tissue， the adjacent （2cm） normal breast tissue， and the distal（＞5cm） normal breast tissue， and analyze their clinical significances. Method The immunohistochemical method was used to detect the expressions of OPN， Brk， and VEGF in the breast cancer tissue， the adjacent （2cm） normal breast tissue， and the distal （＞5cm） normal breast tissue from 40 cases of breast cancer. Results ① The expressions of OPN，Brk， and VEGF in the breast cancer tissue were significantly higher than those of the adjacent （2cm） normal breast tissue and the distal （＞5cm） normal breast tissue （P＜0.01）， the expression of Brk in the adjacent （2cm） normal breast tissue was significantly higher than that of the distal （＞5 cm） normal breast tissue （P＜0.05）. ② In the breast cancer tissue， the OPN and Brk protein expressions were not associated with age， tumor diameter， and histological grade （P＞0.05），were associated with lymph node metastasis and TNM stage （P＜0.05）. The VEGF protein expression was not associated with age and tumor diameter （P＞0.05）， but was associated with histological grade， lymph node metastasis， and TNM staging （P＜0.05）. ③ In the breast cancer tissue， OPN， Brk， and VEGF had positive correlation with each other （P＜0.05）， but not in the adjacent （2cm） normal breast tissue and the distal （＞5 cm） normal breast tissue （P＞0.05）. Conclusions The expressions of OPN and Brk from the same signal pathway increase by turns in the distal （＞5 cm） normal breast tissue， adjacent （2cm） normal breast tissue， and breast cancer tissue. OPN induced the adhesion and migration of endothelial cells to accelerate vascular repair through VEGF and Brk has correlation with the progress of tumor invasion and metastasis through participating in tumor vascularization.
Objective To study the expressions of Delta-like ligand 4 （DLL4） and S100A4 in breast carcinoma of differect molecular subtypes and explore its clinical significance. Methods The expressions of DLL4 and S100A4 in all molecular subtypes were tested by SP immunohistochemistry in 108 cases of breast carcinoma and 40 cases of paracancerous tissues from Taihe Hospital. The Luminal A， Lumianl B， HER-2 over-expression， and basal-like subtypes was 51， 26， 17， and 14 cases， respectively. Then the correlation of DLL4 and S100A4 expression with patients’ clinical and pathological features were analyzed. Results The positive expression rates of DLL4 and S100A4 in breast carcinoma was 67.6%（73/108）and 62.0%（67/108）respectively， which were significantly higher than those in paracancerous tissues〔22.5%（9/40） and 45.0%（18/40）〕， P＜0.05. The positive expression rates of DLL4 and S100A4 in breast carcinoma tissues of HER-2 over-expression and basal-like subtypes were significantly higher than those in breast carcinoma tissues of Luminal A and Luminal B subtypes （P＜0.05）. The expressions of DLL4 and S100A4 in breast carcinoma tissues with lymph node metastasis and without lymph node metastasis were significantly different（P＜0.05）. There was positiver elationship between the expressions of DLL4 and S100A4 in breast carcinoma tissues（rs=0.217，P＜0.01）. Conclusions DLL4 and S100A4 are highly expressed in breast carcinoma tissues of HER-2 over-expression and basal-like subtypes， and are all related with prognosis of breast carcinoma. These results suggest that they might be important factors in breast carcinogenesis and tumor development， metastasis. These proteins are indicators of metastasis and predictors for prognosis of breast carcinoma.
ObjectivesTo explore the construction method of prediction model of absolute risk for breast cancer and provide personalized breast cancer management strategies based on the results.MethodsA case-control design was conducted with 2 747 individuals diagnosed as primary breast cancer by pathology in West China Hospital of Sichuan University from 2000 to 2017 and 6 307 healthy controls from Breast Cancer Screening Cohort in Sichuan Women and Children Center and Chengdu Shuangliu District Maternal and Child Health Hospital. Standardized questionnaires and information management systems in hospital were used to collect information. Decision trees, logistic regression, the formula in Gail model and registration data in China were used to estimate the probability of 5-year risk of breast cancer. Eventually a ROC (receiver operating characteristics) curve was drawn to identify optimal cut-off value, and the power was evaluated.ResultsThe decision tree exported 4 variables, which were urban or rural sources, number of live birth, age and age at menarche. The median 5-year risk and interquartile range of the controls was 0.027% and 0.137%, while the median 5-year risk and interquartile range of the cases was 0.219% and 0.256%. The ROC curve showed the cut-off value was 0.100%. Through verification, the sensitivity was 0.79, the specificity was 0.73, the accuracy was 0.75, and the AUC (area under the curve) was 0.79.ConclusionsThe methods used in our study based on 9 054 female individuals in Sichuan province could be used to predict the 5-year risk for breast cancer. Predictor variables include urban or rural sources, number of live birth, age, and age at menarche. If the 5-year risk is more than 0.100%, the person will be judged as a high risk individual.
Objective To study a new method of treatment for upper limb lymphedema after radical mastectomy. Methods From Jun. 2001 to Sep. 2003, 11 cases(2with complication of erysipelas ) of upper limb lymphedema being treated with radical mastectomy for more than 2 years were used as model. All the edema of limbs was sucked from hypodermis with liposuction technique and compressed with compression garment. Three months after operation, elasticity stress was conducted every night. Results The reduction of the edema of upper limbswas remarkable. The average decrease of circumference was 4 cm. No erysipelas was observed. Conclusion The liposuction technique and elasticity stress is a new and effective approach to the treatment of upper limb lymphedema.
ObjectiveTo explore the scientific method of hospital disease cost management under the disease payment system.MethodsThe data of " breast mass” disease in the case hospital of 2018 were collected, and the cost accounting of the disease was calculated by the income and expenditure ratio method, cost-to-charge ratio method, project-adding method, clinical path method, and activity cost method, respectively. Comprehensive evaluation was conducted for the five methods.ResultsThe direct costs of the disease calculated by income and expenditure ratio method, cost-to-charge ratio method, project-adding method, clinical path method, and activity-based cost method were 3 021.14, 3 387.79, 3 744.45, 3 997.44, and 4 297.18 yuan, respectively, and accounting for 63%, 67%, 70%, 74%, and 80% of total cost, respectively. The standard deviations of direct cost were 514.37, 495.23, 231.22, 317.33, and 197.47, respectively, of which the standard deviation of direct cost of the activity-based costing method was the smallest. The comprehensive scores of key performance indicator of the income and expenditure ratio method, cost-to-charge ratio method, project-adding method, clinical path method, and activity-based cost method were 4.15, 5.40, 7.85, 7.10, and 8.55, respectively.ConclusionsIn terms of the cost results and index evaluation of the disease, the activity-based costing method is the optimal method. The accounting process is close to the real path, which can track the cost drivers, enhance the cost controllability, and is conducive to the management of disease resource consumption.
Breast cancer is the most common malignant tumor among Chinese females. We should focus on the research of risk assessment models of gene-environmental factors to guide primary and secondary prevention, and this public health strategy is expected to maximize the health benefits of the population. This paper introduces previous studies of risk factors and predictive models for Chinese breast cancer and provides three points for future research. Firstly, we should explore the specific risk factors related to breast cancer risk in Chinese population, such as overweight or reproductive control measures. Secondly, we should use evidence-based and machine learning methods to select environmental-genetic risk factors. Finally, we should set up an information collective platform for breast cancer risk factors to test the validity of prediction models based on a long-term follow-up cohort of Chinese females.
