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Context.—: Neoadjuvant systemic therapy refers to the use of systemic agent(s) for malignancy prior to surgical treatment and has recently emerged as an option for most breast cancer patients eligible for adjuvant systemic therapy. Consequently, treated breast carcinomas have become routine specimens in pathology practices. A standard protocol has not yet been universally adopted for the evaluation and reporting of these specimens. The American Joint Committee on Cancer staging system recognizes the challenges in staging breast carcinomas after neoadjuvant treatment and provides important data points but does not currently provide detailed guidance in estimating the residual tumor burden in the breast and lymph nodes. The Residual Cancer Burden system is the only Web-based system that quantifies treatment response as a continuous variable using residual tumor burden in the breast and the lymph nodes.
Objective.—: To provide clarifications and guidance for evaluation and reporting of postneoadjuvant breast specimens, discuss issues with the current staging and reporting systems, and provide specific suggestions for future modifications to the American Joint Committee on Cancer system and the Residual Cancer Burden calculator.
Data Sources.—: English-language literature on the subject and the data from the I-SPY 2, a multicenter, adaptive randomization phase 2 neoadjuvant platform trial for early-stage, high-risk breast cancer patients.
Conclusions.—: This article highlights challenges in the pathologic evaluation and reporting of treated breast carcinomas and provides recommendations and clarifications for pathologists and clinicians. It also provides specific recommendations for staging and discusses future directions.
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http://dx.doi.org/10.5858/arpa.2022-0021-EP | DOI Listing |
Nihon Shokakibyo Gakkai Zasshi
September 2025
Department of Pathology, Japanese Red Cross Okayama Hospital.
An 86-year-old woman was under follow-up at the Breast Surgery Department of our hospital for postoperative treatment for right breast cancer. During this period, a 22-mm cystic mass was identified in the pancreatic head. Its size gradually increased, and she was eventually referred to our department.
View Article and Find Full Text PDFMethods Cell Biol
September 2025
LR18ES03 Laboratory of Neurophysiology, Cellular Physiopathology and Valorisation of Biomolecules, Faculty of Science of Tunis, University Tunis El Manar, Tunis, Tunisia. Electronic address:
Breast cancer (BC) represents a major socio-economic challenge worldwide due to its high morbidity and mortality rates. Despite various therapeutic strategies, the heterogeneity of breast cancer and the resistance of tumour cells often lead to treatment failure. Consequently, the use of animal models of BC is crucial for understanding the cellular and molecular mechanisms involved in the different stages of carcinogenesis and for screening new drugs to assess their efficacy, potential safety and side effects.
View Article and Find Full Text PDFNucleic Acids Res
September 2025
Department of Molecular Life Sciences and SIB Swiss Institute of Bioinformatics, University of Zurich, 8057 Zurich, Switzerland.
Spatial omics allow for the molecular characterization of cells in their spatial context. Notably, the two main technological streams, imaging-based and high-throughput sequencing-based, give rise to very different data modalities. The characteristics of the two data types are well known in spatial statistics as point patterns and lattice data.
View Article and Find Full Text PDFJMIR Cancer
September 2025
Cancer Patients Europe, Rue de l'Industrie 24, Brussels, 1000, Belgium.
Background: Breast cancer is the most common cancer among women and a leading cause of mortality in Europe. Early detection through screening reduces mortality, yet participation in mammography-based programs remains suboptimal due to discomfort, radiation exposure, and accessibility issues. Thermography, particularly when driven by artificial intelligence (AI), is being explored as a noninvasive, radiation-free alternative.
View Article and Find Full Text PDFEpidemiol Serv Saude
September 2025
Universidade Estadual do Norte do Paraná, Programa de Pós-Graduação em Enfermagem em Atenção Primária à Saúde Bandeirantes, PR, Brazil.
Objectives: To analyze the temporal trend and identify spatial clusters of breast cancer mortality in Paraná state between 2012 and 2021.
Methods: This was a time series study, with spatial analysis of breast cancer mortality rates in the 399 municipalities of Paraná. Data were selected from the Mortality Information System.