The fungal drug cordycepin (3-deoxyadenosine) is known to exert anti-tumor activities, preferentially by interfering with RNA synthesis. We have investigated the effect of cordycepin on human breast epithelial cell lines, ranging from non-malignant MCF10A cells to highly de-differentiated MDA-MB-435 cancer cells. Treatment of human breast cancer cells with cordycepin caused either apoptosis or persistent cell cycle arrest that was associated with reduced clonal growth of cordycepin-treated breast cancer cells. Highly de-differentiated breast cancer cell lines, such as MDA-MB-231 and MDA-MB-435, reacted more sensitive to cordycepin than less aggressive breast cancer cell lines (MCF7, T47D) or non-malignant breast epithelial cells (MCF10A), which poorly reacted to cordycepin. In cordycepin-sensitive breast cancer cells, a marked induction of the DNA damage response (DDR), including the phosphorylation of ATM, ATR, and histone γH2AX could be observed. These data indicate that cordycepin, which was believed to cause cancer cell death by inhibition of RNA synthesis, induces DNA double strand breaks in breast cancer cells. The genotoxic effect of cordycepin on breast cancer cells indicates a new mechanism of cordycepin-induced cancer cell death, and its activity against highly undifferentiated breast cancer cells provides a new perspective of how cordycepin may be used in the treatment of advanced breast cancer.
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http://dx.doi.org/10.1007/s10637-012-9859-x | DOI Listing |
Acta Oncol
January 2025
Psychological Aspects of Cancer, Cancer Survivorship, The Danish Cancer Institute, Copenhagen, Denmark.
Introduction: To target psychological support to cancer patients most in need of support, screening for psychological distress has been advocated and, in some settings, also implemented. Still, no prior studies have examined the appropriate 'dosage' and whether screening for distress before cancer treatment may be sufficient or if further screenings during treatment are necessary. We examined the development in symptom trajectories for breast cancer patients with low distress before surgery and explored potential risk factors for developing burdensome symptoms at a later point in time.
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January 2025
Department of Pharmacy, Health and Nutritional Sciences, University of Calabria, Arcavacata Di Rende, 87036, Cosenza, Italy.
Breast cancer is the most commonly diagnosed type of cancer and the leading cause of cancer-related death in women worldwide. Highly targeted therapies have been developed for different subtypes of breast cancer, including hormone receptor (HR)-positive and human epidermal growth factor receptor 2 (HER2)-positive breast cancer. However, triple-negative breast cancer (TNBC) and metastatic breast cancer disease are primarily treated with chemotherapy, which improves disease-free and overall survival, but does not offer a curative solution for these aggressive forms of breast cancer.
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January 2025
Department of Genetics, The University of Alabama at Birmingham, Birmingham, AL, USA.
Nowadays, chemotherapy and immunotherapy remain the major treatment strategies for Triple-Negative Breast Cancer (TNBC). Identifying biomarkers to pre-select and subclassify TNBC patients with distinct chemotherapy responses is essential. In the current study, we performed an unbiased Reverse Phase Protein Array (RPPA) on TNBC cells treated with chemotherapy compounds and found a leading significant increase of phosphor-AURKA/B/C, AURKA, AURKB, and PLK1, which fall into the mitotic kinase group.
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January 2025
Chair of Obstetrics Development, Faculty of Health Sciences, Medical University of Lublin, Lublin, Poland.
The aim of the study is to analyze the relationship between personality traits of women with hereditary predisposition to breast/ovarian cancer and their obstetric history and cancer-preventive behaviors. A total of 357 women, participants of 'The National Program for Families With Genetic/Familial High Risk for Cancer', were included in the study. The Neo Five-Factor Inventory (NEO-FFI) and a standardized original questionnaire designed for the purpose of the study were used.
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January 2025
College of Information Science and Technology, Hainan Normal University, Haikou, 571158, China.
Breast cancer is one of the most aggressive types of cancer, and its early diagnosis is crucial for reducing mortality rates and ensuring timely treatment. Computer-aided diagnosis systems provide automated mammography image processing, interpretation, and grading. However, since the currently existing methods suffer from such issues as overfitting, lack of adaptability, and dependence on massive annotated datasets, the present work introduces a hybrid approach to enhance breast cancer classification accuracy.
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