Objective: To assess the different effects between non-treatment, estrogen and estrogen-progestin regimens on changes in mammographic density in postmenopausal women.
Study Design: A historical cohort of 105 postmenopausal women who attended the Menopause Clinic, Srinagarind Hospital, Khon Kaen, Thailand, and received 1 of 3 regimens: nontreatment, estrogen or estrogen-progestin (35 in each group). Mammographic examinations were done before and after a 12-24-month period of hormone therapy. Breast density (mammographic density, recorded in the medical records) between the 2 examinations in each group were compared.
Results: An increase in mammographic density occurred among women receiving hormone therapy: 40% (14 of 35) in the estrogen-progestin group and 20% (7 of 35) in the estrogen-only group, but no variation in density was observed in the nontreatment group. The increase in mammographic density occurring in women on hormone therapy, as compared to the nontreatment group, was statistically significant (estrogen-progestin, 95% CI 20.91-59.09; estrogen, 95% CI 3.89-36.11). When the different treatment types were compared, the estrogen-progestin group tended to have a higher prevalence of mammographic density change than the estrogen-only group, but the difference was not statistically significant (95% CI -3.81-43.81).
Conclusion: Hormone therapy was associated with increased mammographic density. Apparently the estrogen-progestin regimen affects breast density more than estrogen-only does.
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J Transl Med
January 2025
Department of Medical and Surgical Sciences (DIMEC), University of Bologna, Bologna, Italy.
Background: HER2-targeted therapies have revolutionized the treatment of HER2-positive breast cancer patients, leading to significant improvements in tumor response rates and survival. However, resistance and incomplete response remain considerable challenges. Proprotein convertase subtilisin/kexin type 9 (PCSK9) inhibition is a novel therapeutic strategy for the management of dyslipidemia by enhancing the clearance of low-density lipoprotein cholesterol receptors, however recent evidence also shows links between PCSK9 and cancer cells.
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Department of Geoinformatics, University of Kashmir, Hazratbal Srinagar 190006, Jammu and Kashmir, India.
Accurate estimates of forest dynamics and above-ground forest biomass for the topographically challenging Himalaya are crucial for understanding carbon storage potential, assessing ecosystem services, and guiding conservation efforts in response to climate change. This dataset provides a manually delineated multi-temporal forest inventory and a comprehensive record of above-ground biomass (AGB) across the Kashmir Himalaya, generated from field observations, advanced remote sensing and machine learning. Data were collected and generated through remote sensing techniques and extensive in-situ measurements of 6220 trees (n=275 plots), including tree diameter at breast height, species composition, and tree density to map forest area and model AGB across varied terrain.
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Department of Hematology and Oncology, Houston Methodist Dr Mary and Ron Neal Cancer Center, Houston, Texas, USA.
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March 2025
Department of Diagnostic Imaging, Oncological Radiotherapy, and Hematology, Diagnostic Imaging Area, Italy.
Pregnancy-associated breast cancer (PABC) presents unique challenges. This type of breast cancer is often more aggressive than that diagnosed in nonpregnant women, and its diagnosis is frequently delayed. Several factors contribute to this delay, including the physiological changes that occur during pregnancy, such as breast enlargement, breast tenderness and increased tissue density, which can mask early signs of malignancy.
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