Purpose: We conducted a meta-analysis of randomized trials that evaluated the efficacy of incorporating taxanes into anthracycline-based regimens for early breast cancer (EBC). We aimed to determine whether this approach improves disease-free survival (DFS) and overall survival (OS) and whether benefits are maintained across relevant patient subgroups.
Methods: Studies were retrieved by searching the PubMed database and the proceedings of major conferences. We extracted hazard ratios (HR) and 95% CIs for DFS and OS from each trial and obtained pooled estimates using an inverse-variance model.
Results: Thirteen studies were included in the meta-analysis (N = 22,903 patients). The pooled HR estimate was 0.83 (95% CI, 0.79 to 0.87; P < .00001) for DFS and 0.85 (95% CI, 0.79 to 0.91; P < .00001) for OS. Risk reduction was not influenced by the type of taxane, by estrogen receptor (ER) expression, by the number of axillary metastases (N1 to 3 v N4+), or by the patient's age/menopausal status. Sensitivity analysis showed that taxanes given in combination with anthracyclines, unlike sequential administration, did not significantly improve OS. However, the test for interaction showed that HR did not differ between the two schedules (P = .54). Taxane administration resulted in an absolute 5-year risk reduction of 5% for DFS and 3% for OS.
Conclusion: The addition of a taxane to an anthracycline-based regimen improves the DFS and OS of high-risk EBC patients. The DFS benefit was independent of ER expression, degree of nodal involvement, type of taxane, age/menopausal status of patient, and administration schedule.
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http://dx.doi.org/10.1200/JCO.2007.11.3787 | DOI Listing |
J Med Econ
January 2025
UNESCO-TWAS, The World Academy of Sciences, Trieste, Italy.
Aim: Dynamic cancer control is a current health system priority, yet methods for achieving it are lacking. This study aims to review the application of system dynamics modeling (SDM) on cancer control and evaluate the research quality.
Methods: Articles were searched in PubMed, Web of Science, and Scopus from the inception of the study to November 15th, 2023.
Public Health Nutr
January 2025
Department of Pediatrics, Division of General Academic Pediatrics, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania, United States.
Objective: To explore mothers' and early childhood (EC) educators' experiences of breastfeeding/breast milk provision and breastfeeding support in child care centers (CCCs) in the United States (U.S.).
View Article and Find Full Text PDFInt J Gen Med
December 2024
Department of Thyroid and Breast Surgery, Quzhou People's Hospital, Quzhou, 324000, People's Republic of China.
Objective: This study aims to demonstrate the impact of sarcopenia on the prognosis of early breast cancer and its role in early multimodal intervention.
Methods: The clinical data of patients (n=285) subjected to chemotherapy for early-stage breast cancer diagnosed pathologically between January 1, 2016, and December 31, 2020, in our hospital were retrospectively analyzed. Accordingly, the recruited subjects were divided into sarcopenia (n=85) and non-sarcopenia (n=200) groups according to CT diagnosis correlating with single-factor and multifactorial logistic regression analyses.
Cureus
December 2024
General Surgery, Rajendra Institute of Medical Sciences, Ranchi, IND.
Phyllodes tumor is a type of fibroepithelial neoplasm involving the breast. This tumor is rarely reported in adolescents and the elderly and has a peak incidence in middle-aged women. Histologically, phyllodes tumors are classified as benign, borderline, or malignant.
View Article and Find Full Text PDFPurpose: The development of endocrine resistance remains a significant challenge in the clinical management of estrogen receptor-positive ( ) breast cancer. Metabolic reprogramming is a prominent component of endocrine resistance and a potential therapeutic intervention point. However, a limited understanding of which metabolic changes are conserved across the heterogeneous landscape of ER+ breast cancer or how metabolic changes factor into ER DNA binding patterns hinder our ability to target metabolic adaptation as a treatment strategy.
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