Objective: Considering the increased fracture risk in early breast cancer patients treated with aromatase inhibitors (AI), we assessed the impact of a preventive intervention conducted by a specialized osteoporosis unit on bone health at AI treatment start.
Material And Methods: Retrospective cohort of postmenopausal women who started treatment with AI after breast cancer surgical/chemotherapy treatment and were referred to the osteoporosis unit for a comprehensive assessment of bone health. Bone densitometry and fracture screening by plain X-ray were performed at the baseline visit and once a year for 5 years.
Results: The final record included 130 patients. At AI treatment start, 49% had at least one high-risk factor for fractures, 55% had osteopenia, and 39% osteoporosis. Based on the baseline assessment, 79% of patients initiated treatment with bisphosphonates, 88% with calcium, and 79% with vitamin D. After a median of 65 (50-77) months, 4% developed osteopenia or osteoporosis, and 14% improved their densitometric diagnosis. Fifteen fractures were recorded in 11 (8.5%) patients, all of them receiving preventive treatment (10 with bisphosphonates). During the follow-up period, patients with one or more high-risk factors for fracture showed a greater frequency of fractures (15% vs. 3%) and experienced the first fracture earlier than those without high-risk factors (mean of 99 and 102 months, respectively; P=0.023).
Conclusions: The preventive intervention of a specialized unit at the start of AI treatment in breast cancer survivors allows the identification of patients with high fracture risk and may contribute to preventing bone events in these patients.
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http://dx.doi.org/10.1016/j.reuma.2017.08.005 | DOI Listing |
J Transl Med
January 2025
Medical College of YiChun University, Xuefu Road No 576, Yichun, 336000, Jiangxi, People's Republic of China.
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View Article and Find Full Text PDFHum Genomics
January 2025
Population Health Program, QIMR Berghofer Medical Research Institute, Herston, QLD, 4006, Australia.
Background: TP53 variant classification benefits from the availability of large-scale functional data for missense variants generated using cDNA-based assays. However, absence of comprehensive splicing assay data for TP53 confounds the classification of the subset of predicted missense and synonymous variants that are also predicted to alter splicing. Our study aimed to generate and apply splicing assay data for a prioritised group of 59 TP53 predicted missense or synonymous variants that are also predicted to affect splicing by either SpliceAI or MaxEntScan.
View Article and Find Full Text PDFMol Cancer
January 2025
Foshan Maternity and Child Healthcare Hospital; School of Pharmaceutical Sciences, Southern Medical University, Guangzhou, 515150, China.
Background: Intratumor-resident bacteria represent an integral component of the tumor microenvironment (TME). Microbial dysbiosis, which refers to an imbalance in the bacterial composition and bacterial metabolic activities, plays an important role in regulating breast cancer development and progression. However, the impact of specific intratumor-resident bacteria on tumor progression and their underlying mechanisms remain elusive.
View Article and Find Full Text PDFBMC Cancer
January 2025
Shaanxi Engineering Research Center of Cell Immunology, Shaanxi Provincial People's Hospital, Xi'an, Shaanxi, China.
Background: Triple-negative breast cancer (TNBC) is among the most aggressive forms of breast cancer, characterized by a dismal prognosis. In the absence of drug-targetable receptors, chemotherapy remains the sole systemic treatment alternative. Recent advancements in immunotherapy, particularly immune checkpoint inhibitors (ICIs) that target programmed death 1/programmed death ligand 1 (PD-1/PD-L1) and cytotoxic T lymphocyte associated antigen 4 (CTLA-4), have provided renewed optimism for the treatment of patients with TNBC.
View Article and Find Full Text PDFBMC Cancer
January 2025
Breast Surgery Department, Hangzhou Institute of Medicine, Zhejiang Cancer Hospital, Chinese Academy of Sciences, Hangzhou, Zhejiang, China.
Adjuvant endocrine therapy (AET) is essential for improving survival and reducing mortality and recurrence rates in breast cancer (BrCa) patients. However, the adherence to AET among BrCa patients is poor, and there is no scale to measure adherence to AET or the reasons for non-adherence among BrCa patients in mainland China. The aim of this study was to assess the psychometric properties of the simple Chinese version of the Medication Adherence Reasons (MAR) scale in BrCa patients undergoing AET.
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