Benefit of longer course of taxane-anthracycline-based adjuvant chemotherapy is yet to be identified. We conducted a retrospectively matched-pair analysis to compare four cycles of fluorouracil, epirubicin and cyclophosphamide followed by four cycles of docetaxel (4FEC-4T) with three cycles of FEC followed by three cycles of docetaxel (3FEC-3T) as adjuvant chemotherapy for early-stage breast cancer. One hundred and thirty-seven patients treated with 4FEC-4T were matched to 411 in 3FEC-3T. The primary end point was event-free survival (EFS). The secondary end point was distant disease-free survival (DDFS). The 4FEC-4T resulted in significantly longer EFS than matched 3FEC-3T (p = 0.020). Furthermore, DDFS was superior in the 4FEC-4T to that in the 3FEC-3T (p = 0.046). Extending taxane-anthracycline-based regimens with identical schedules significantly improves EFS and DDFS for early-stage breast cancer.
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http://dx.doi.org/10.2217/fon-2018-0666 | DOI Listing |
East Mediterr Health J
December 2024
Department of Radiology, King Abdulaziz University, Jeddah, Saudi Arabia.
Pharm Dev Technol
January 2025
Department of Pharmacy, School of Chemistry and Chemical Engineering, Liaoning Normal University, Dalian 116029, China.
In this paper, the pH-sensitive targeting functional material NGR-poly(2-ethyl-2-oxazoline)-cholesteryl methyl carbonate (NGR-PEtOz-CHMC, NPC) modified quercetin (QUE) liposomes (NPC-QUE-L) was constructed. The structure of NPC was confirmed by infrared spectroscopy (IR) and nuclear magnetic resonance hydrogen spectrum (H-NMR). Pharmacokinetic results showed that the accumulation of QUE in plasma of the NPC-QUE-L group was 1.
View Article and Find Full Text PDFJ 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.
Int J Surg
January 2025
Computer Science and Technology, Harbin Institute of Technology (Shenzhen), Shenzhen, China.
Detection of biomarkers of breast cancer incurs additional costs and tissue burden. We propose a deep learning-based algorithm (BBMIL) to predict classical biomarkers, immunotherapy-associated gene signatures, and prognosis-associated subtypes directly from hematoxylin and eosin stained histopathology images. BBMIL showed the best performance among comparative algorithms on the prediction of classical biomarkers, immunotherapy related gene signatures, and subtypes.
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