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Background: Neoadjuvant chemotherapy (NACT) is the standard-of-care treatment for patients with locally advanced breast cancer (LABC), providing crucial benefits in tumor downstaging. Clinical parameters, such as molecular subtypes, influence the therapeutic impact of NACT. Moreover, severe adverse events delay the treatment process and reduce the effectiveness of therapy.

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Breast cancer patterns by age groups in Brazil: insights from population-based registries data.

BMC Cancer

January 2025

Division of Clinical Research and Technological Development, Brazilian National Cancer Institute, 37 Andre Cavalcanti Street, 5th floor, Annex Building, 20231050, Rio de Janeiro, Brazil.

Background: Breast cancer (BC) has exhibited varied epidemiological trends based on distinct age categories. This research aimed to explore the incidence and mortality rates of BC within pre-defined age groups in the Brazilian population.

Methods: BC incidence trends were assessed from 2010 to 2015 using Brazilian Population-Based Cancer Registries, employing age-standardized ratios and annual average percentage change (AAPC).

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Automatic image generation and stage prediction of breast cancer immunobiological through a proposed IHC-GAN model.

BMC Med Imaging

January 2025

Electronics and Communications, Arab Academy for Science, Heliopolis, Cairo, 2033, Egypt.

Invasive breast cancer diagnosis and treatment planning require an accurate assessment of human epidermal growth factor receptor 2 (HER2) expression levels. While immunohistochemical techniques (IHC) are the gold standard for HER2 evaluation, their implementation can be resource-intensive and costly. To reduce these obstacles and expedite the procedure, we present an efficient deep-learning model that generates high-quality IHC-stained images directly from Hematoxylin and Eosin (H&E) stained images.

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Purpose: While previous research has highlighted treatment delay inequities in early-stage breast cancer and identified potential contributing factors, there is limited research on disparities in treatment delays for metastatic breast cancer (MBC). This study investigates these disparities in MBC treatment initiation, aiming to identify key factors crucial for improving timely access to care.

Method: Nationwide Flatiron Health electronic health records-derived deidentified database, including females aged 18+ diagnosed with either De novo or relapsed MBC in the U.

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