Breast disease最新文献

Breast Cancer is the leading form of cancer found in women and a major cause of increased mortality rates among them. However, manual diagnosis of the disease is time-consuming and often limited by the availability of screening systems. Thus, there is a pressing need for an automatic diagnosis system that can quickly detect cancer in its early stages. Data mining and machine learning techniques have emerged as valuable tools in developing such a system. In this study we investigated the performance of several machine learning models on the Wisconsin Breast Cancer (original) dataset with a particular emphasis on finding which models perform the best for breast cancer diagnosis. The study also explores the contrast between the proposed ANN methodology and conventional machine learning techniques. The comparison between the methods employed in the current study and those utilized in earlier research on the Wisconsin Breast Cancer dataset is also compared. The findings of this study are in line with those of previous studies which also highlighted the efficacy of SVM, Decision Tree, CART, ANN, and ELM ANN for breast cancer detection. Several classifiers achieved high accuracy, precision and F1 scores for benign and malignant tumours, respectively. It is also found that models with hyperparameter adjustment performed better than those without and boosting methods like as XGBoost, Adaboost, and Gradient Boost consistently performed well across benign and malignant tumours. The study emphasizes the significance of hyperparameter tuning and the efficacy of boosting algorithms in addressing the complexity and nonlinearity of data. Using the Wisconsin Breast Cancer (original) dataset, a detailed summary of the current status of research on breast cancer diagnosis is provided.

Introduction: Alopecia is one of the main adverse events of chemotherapy in breast cancer. However, its impact is often ignored and underestimated by clinicians. Our aim was to evaluate the quality of life of breast cancer patients with chemotherapy induced alopecia.

Methods: We conducted a prospective study including 72 breast cancer patients who developed alopecia on or after stopping chemotherapy in the last 6 months. Clinical information and characteristics of alopecia were assessed using a self-prepared questionnaire. DLQI score was used to evaluate patients' quality of life.

Results: We interviewed a total of 72 women with a mean age of 53.5 ± 6 years. Alopecia appeared soon after the first course in 62.5%. All patients actively tried to hide induced hair fall (either by a hat in 6.9% or by a headscarf in 93.1%). Quality of life was impacted in 97.2% of patients with a median DLQI score of 6.5. Women who did not underwent mastectomy were significantly more bothered by hair loss than those who had radical surgery (78.1% vs 55%, p = 0.04). Working status was a significant predictor factor of a bad quality of life due to alopecia (100% in working women vs 58.3% in homemaker or retired patients, p = 0.006).

Conclusion: Chemotherapy induced alopecia had a negative impact on quality of life of patients with breast cancer, especially in working women and those who did not have radical surgery. Prior wearing of headscarves did not impact significantly the DLQI score.

Background: Male breast cancer (MBC) accounts for one percent of all breast cancers. Due to the lack of awareness and routine screening programs, most patients present with systemic disease at the time of diagnosis with low overall survival.

Objectives: This study aims to investigate the prognostic factors of male breast cancer and its correlation with established prognostic parameters and patient outcomes.

Methods: Thirty-eight male breast cancer patients are identified from the MKA Breast Cancer Clinic database, and their corresponding clinical and pathological characteristics are obtained. Cut-off values of 1% and 10% are applied to further classify ER and PR results.

Results: Older men are more likely to develop MBC than younger men and are more likely to have spread to axillary lymph nodes. Invasive ductal carcinoma is a more common histologic type in MBC. All the tested patients have ER and PR positivity. Distant metastasis developed in 17/38 (44.7%) patients. Bone metastasis is seen commonly in metastatic MBC.

Conclusions: According to our cohort, MBC is seen in older males, presents in later stages, and shows hormone receptor positivity and a tendency to bone involvement. MBC is a heterogenous but distinct biological entity requiring a specific clinical and pathological approach.

Background: Breast cancer (BC) patients' diagnosis and management was affected by a global reorganization after the Coronavirus disease 2019 (COVID-19). Our study aimed to assess the impact of the pandemic on the pathological stage of newly diagnosed patients with BC compared to pre-pandemic and to identify predictive factors of tumor advanced stage.

Methods: Pathological records of all consecutive newly operated BC patients between March 2020 and December 2021 were reviewed retrospectively. Clinical and pathological prognostic factors of BC were collected and compared between pre-pandemic and pandemic periods. Then, predictive factors of tumor advanced stage were identified.

Results: Of the 225 cases included in the analysis, 98.7% were females and 1.3% were males. The median time from first histological diagnosis to first surgical treatment was enlarged by 42 days with a significant difference between the two periods (p = 0.002). Newly diagnosed BC patients during the COVID-19 pandemic were operated at a more advanced stage (54.1% vs 36.2%, p = 0.007), had a greater lymphovascular invasion (p = 0.002), lymph node metastasis (p = 0.015) and are more commonly of IBC NST histological type (p = 0.005). Moreover, multivariate analyses showed that the pandemic period (AOR = 2.28; p = 0.016) and the lympho-vascular invasion (p < 0.001) were independently associated with advanced stage of tumors.

Conclusion: Our findings proved an increase in alarming rates of advanced stage BC associated with the COVID-19 crisis. These findings support recommendations for a quick restoration of BC screening at full capacity, with adequate prioritization strategies to mitigate harm.

An 85-year-old Chinese lady presented with a 5-day history of a painless left breast lump. There was no fever, nipple discharge, or history of trauma. She had a past medical history of atrial fibrillation that was managed with an oral anticoagulant. Mammography demonstrated a dense mass in the upper outer quadrant of the left breast. Ultrasound showed an irregular, heterogeneous 4.7 cm lesion containing debris and cystic spaces with raised peripheral vascularity at the 2 o'clock position, 3 cm from nipple. No internal vascularity was detected. This was managed as a haematoma and rivaroxaban was withheld. Follow-up imaging 3-weeks later showed persistence of the lesion. Bedside needle aspiration yielded haemoserous fluid with immediate reduction in size of the lesion. However, 2 weeks after aspiration, there was recurrence of the 'haematoma'. Multidisciplinary review of the clinical history, examination and imaging was sought, and biopsy of the irregularly thickened areas with vascularity along the periphery of the lesion was recommended. Vacuum-assisted biopsy was performed, and histology returned as metaplastic carcinoma. A recurring 'haematoma' should always prompt a search for a secondary cause, with features such as irregular thickened walls and papillary/nodular components requiring further evaluation with biopsy for histopathological correlation.

Introduction: Housewives are a population at high risk of breast cancer due to repeated or chronic exposure to stress. Prevention in a simple yet evidence-based manner is needed.

Methods: This study is a narrative review of the potential of massage as breast cancer prevention through stress and immune system mechanisms.

Results: Massage is able to prevent chronic stress through improved sleep and fatigue and lower stress levels. Prevention of chronic stress will maximize the function of cells that eliminate cancer cells, such as B cells, T cells, and natural killer (NK) cells, and improve the balance of Foxp3 Tregulator cells. Partnered delivery massage will bring effective benefits for stress reduction.

Conclusions: Massage can provide indirect prevention of breast cancer, and partnered delivery massage can be a good choice to reduce stress.

Introduction: Chemotherapy is conventionally offered to non-stage IV breast cancer patients with metastatic nodes. However, the RxPONDER trial showed that chemotherapy can be omitted in selected patients with 1-3 metastatic nodes if the 21-gene assay recurrence score is ≤25. We aimed to investigate if axillary ultrasound can identify this group of patients with limited nodal burden so that they can undergo upfront surgery followed by gene assay testing, to potentially avoid chemotherapy.

Methods: T1-3, node positive, hormone receptor-positive and HER2-negative breast cancer patients ≥50 years old with axillary lymph node dissection (ALND) were reviewed from 2 centres. Patients with neoadjuvant chemotherapy and bilateral cancers were excluded. Number of ultrasound-detected abnormal axillary nodes, demographic and histological parameters were correlated with the number of metastatic nodes found on ALND.

Results: 138 patients were included, 59 (42.8%) and 79 (57.2%) patients had 1-3 and >3 metastatic nodes on ALND respectively. On logistic regression and ROC analysis, the number of ultrasound-detected abnormal nodes was significant (p < 0.001) for predicting limited nodal burden (ROC AUC = 0.7135). Probabilities of <4 metastatic nodes with ultrasound cut-offs of 5, 6 and 8 abnormal nodes were 0.057, 0.026 and 0.005 respectively, with 100% specificity.

Conclusion: A cut-off of ≤5 ultrasound-detected abnormal nodes can distinguish between patients with limited versus high nodal burden, with high specificity. Hence, incorporating the number of abnormal ultrasound-detected nodes into clinical practice may prove useful in guiding between upfront surgery and gene assay testing or neoadjuvant chemotherapy in this group of patients.

Background: Breast cancer (BC) cases in Makassar, Indonesia, are on the rise, with 2723 cases recorded in 2018. Tumor cells in the blood indicate metastasis, emphasizing the need for early diagnosis and monitoring. Pleiotrophin (PTN) is associated with various human malignancies, and recent studies suggest a correlation between PTN expression and advanced BC stages; therefore, PTN could serve as an independent predictor of metastasis. This study aimed to determine the correlation between serum PTN level, histopathological grading, and metastasis occurrence in BC patients in Makassar, Indonesia.

Methods: This study used an observational cross-sectional design. Pleiotrophin serum levels were examined using enzyme-linked immunosorbent assays. This study used a t-test and ROC curve analysis for the statistical tests.

Results: Of the 64 samples used in this study, metastasis was present in 26 cases and absent in 38 samples. The mean PTN serum levels in metastatic and non-metastatic breast cancer patients were 4.311 and 1.253, respectively. The PTN receiver operating characteristic curve showed an area under the curve of 2.47 ng/dL, which was statistically significant (p < 0.001). A significant relationship was found between PTN level and metastasis (p < 0.001). The correlation coefficient was 0.791, indicating a positive correlation.

Conclusion: This study revealed that the serum PTN level among breast cancer patients had a cut-off value of 2.47 ng/dL. The research established a clear correlation between PTN level and metastasis occurrence in breast cancer patients, indicating a higher likelihood of distant metastasis with elevated PTN concentration.

Background: Breast cancer tumor microenvironment (TME) is a promising target for immunotherapy. Autophagy, and cancer stem cells (CSCs) maintenance are essential processes involved in tumorigenesis, tumor survival, invasion, and treatment resistance. Overexpression of angiogenic chemokine interleukin-8 (IL-8) in breast cancer TME is associated with oncogenic signaling pathways, increased tumor growth, metastasis, and poor prognosis.

Objective: Thus, we aimed to investigate the possible anti-tumor effect of neutralizing antibodies against IL-8 by evaluating its efficacy on autophagic activity and breast CSC maintenance.

Methods: IL-8 monoclonal antibody supplemented tumor tissue culture systems from 15 females undergoing mastectomy were used to evaluate the expression of LC3B as a specific biomarker of autophagy and CD44, CD24 as cell surface markers of breast CSCs using immunofluorescence technique.

Results: Our results revealed that anti-IL-8 mAb significantly decreased the level of LC3B in the cultured tumor tissues compared to its non-significant decrease in the normal breast tissues.Anti-IL-8 mAb also significantly decreased the CD44 expression in either breast tumors or normal cultured tissues. While it caused a non-significant decrease in CD24 expression in cultured breast tumor tissue and a significant decrease in its expression in the corresponding normal ones.

Conclusions: Anti-IL-8 monoclonal antibody exhibits promising immunotherapeutic properties through targeting both autophagy and CSCs maintenance within breast cancer TME.