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Introduction: Estrogen receptors (ERs), progesterone receptors (PRs), and human epidermal growth factor receptors 2 (HER2s) are crucial for the molecular subtype classification and therapy decision-making in breast cancer. Core needle biopsy (CNB) serves as an essential preoperative diagnostic tool for biomarker evaluation, offering minimal invasiveness and convenience. However, CNB has limitations including insufficient sampling volume, sampling errors, underestimation and false results. This study evaluated the discordance of ER, PR, HER2, and molecular subtype between CNB and surgical specimen (SS) in breast cancer, explored the factors associated with discordance and discussed which specific breast cancer cases were recommended for retesting.
Materials And Methods: Medical records of invasive breast cancer patients admitted to Fujian Medical University Union Hospital from January 2014 to January 2020 were retrospectively collected. Immunohistochemistry and fluorescence in situ hybridization were used to assess the status of ER, PR, and HER2 in both CNB and SS. The agreement analyses were performed using the Kappa test. Univariable and multivariable logistic regressions were employed to identify factors associated with discordance of biomarkers and molecular subtypes.
Results: A total of 2099 patients were included in the study. Discordance rates were 3.9% (n = 82) for the ER, 4.8% (n = 101) for PR and 1.2% (n = 25) for HER2. High agreement was observed between CNB and SS for ER (κ=0.899), PR (κ=0.896) and HER2 (κ=0.972). There were 344 cases of molecular typing discordance, with the majority (n = 226, 65.7%) occurring between Luminal A and Luminal B (HER2-). Factors of ER discordance were large tumor size (OR = 8.715, P < 0.001), ER-low biopsy status (OR = 49.959, P < 0.001) and PR-high biopsy status (OR = 0.046, P < 0.001. Factors of molecular subtype discordance were carcinoma in situ (OR = 1.930, P = 0.007), ER-low biopsy status (OR = 40.527, P < 0.001) and Ki67-high biopsy status (OR = 0.332, P < 0.001).
Conclusions: CNB showed good accuracy in evaluating ER, PR, HER2, and molecular subtypes in breast cancer. However, concerning the factors associated with discordance, we recommend retesting for three CNB cases (1) ER-negative and PR-positive, (2) ER low-expression and PR-negative, and (3) Luminal A subtype with tumors ≤2 cm, which might offer a valuable reference for clinical decision-making.
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http://dx.doi.org/10.1016/j.jss.2025.01.010 | DOI Listing |
EBioMedicine
September 2025
Department of Radiology, Yantai Yuhuangding Hospital, Qingdao University, Yantai, Shandong, 264000, PR China; Big Data and Artificial Intelligence Laboratory, Yantai Yuhuangding Hospital, Qingdao University, Yantai, Shandong, 264000, PR China. Electronic address:
JMIR 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.
Cien Saude Colet
August 2025
Faculdade de Medicina da Universidade Federal de Pelotas. Pelotas RS Brasil.
The objective of this study was to analyze the characteristics of avoidable mortality in the population aged five to 69 years living in the city of Pelotas/RS, comparing it with the rest of the state of Rio Grande do Sul, from 2000 to 2021. An ecological study was conducted analyzing avoidable mortality coefficients according to sex and age, from 2000 to 2021. The data source was the Mortality Information System, and the trend analysis was performed using Prais-Winsten regression, with standardization of coefficients.
View Article and Find Full Text PDFCien Saude Colet
August 2025
Programa de Pós-Graduação em Nutrição e Saúde, Universidade Estadual do Ceará. R. Betel 1958, Itaperi. 60714-230 Fortaleza CE Brasil.
This study aimed to evaluate mortality due to female breast cancer attributable to overweight and obesity and to estimate the number of preventable deaths with a reduction in the Body Mass Index in Brazil. An ecological study was carried out with investigation of information on overweight, obesity, sociodemographic characteristics based on a national survey carried out in 2013-14; breast cancer mortality rate in 2019 using the Online Atlas of Mortality and Relative Risk Meta-Analyses. The Potential Impact Fraction analysis was carried out, considering the following counterfactual scenarios related to the reduction in BMI: Scenario A - population contingent of women that make up the prevalence of overweight and obesity now composes the prevalence of eutrophy; Scenario B - population contingent of women that make up the prevalence of overweight starts to make up the prevalence of eutrophy; Scenario C - population contingent of women that make up the prevalence of obesity becomes part of the prevalence of overweight.
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