Fulvestrant is a novel endocrine therapy for breast cancer, with a unique structure and mode of action. It binds competitively to the oestrogen receptor (ER), with high affinity, and downregulates ER by functional blockade and increased turnover. Fulvestrant has reached the clinic via extensive pre-clinical and clinical trials, which demonstrated fulvestrant's unique characteristics and showed that they translate to equivalent or improved clinical efficacy compared to established endocrine agents. Fulvestrant is currently licensed for use in postmenopausal women with hormone receptor positive advanced breast cancer which has progressed on prior endocrine therapy. As a pure oestrogen antagonist, fulvestrant avoids the risk of detrimental side effects of selective ER modulators such as tamoxifen, which has partial agonist activity. Fulvestrant, the only parenteral agent in this setting, has a good side effect profile and is well tolerated. Due to its unique mode of action, fulvestrant lacks cross-resistance with existing agents. Fulvestrant is the subject of much ongoing research, which utilises knowledge of its novel mechanism and pharmacokinetic profile in order to optimise clinical efficacy and explore new roles, including first-line use in advanced breast cancer, use in combination with existing agents, in males, and in premenopausal women, and use as an adjuvant therapy.
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http://dx.doi.org/10.2174/092986710790820633 | DOI Listing |
East Mediterr Health J
December 2024
Department of Radiology, King Abdulaziz University, Jeddah, Saudi Arabia.
Background: Breast cancer is often thought to occur at a younger age among Arab women based on the mean or median age at diagnosis, or the proportion of women diagnosed with breast cancer at a young age.
Objective: To compare age-specific breast cancer incidence rates among women from selected Arab countries with selected high- and middle-income countries.
Methods: We examined population-based, age-specific, national or regional breast cancer incidence data for 2008-2012 and 2013-2017 from Australia, Brazil, Canada, Germany, Japan, United Kingdom, and United States of America, and compared them with data from Algeria, Bahrain, Jordan, Kuwait, Morocco, Qatar, and 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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