Purpose: This study explores the predictive factors for axillary pathological complete response(apCR) during neoadjuvant therapy(NAT) for elderly breast cancer patients to supplement the indications for retaining the axilla.
Methods: Comprehensive clinical information was gathered from November 2016 to July 2023 from elderly patients with pathology-confirmed invasive breast cancer who underwent NAT and surgery in the Breast Department of Sichuan Cancer Hospital. The relationships between clinicopathological characteristics and apCR were investigated via retrospective analysis. Univariate analysis of the clinicopathological parameters and efficacy was performed via the chi-square test or Fisher's exact test, while multivariate analysis was conducted via binary logistic regression.
Results: This study included 109 elderly patients with breast cancer, with an overall apCR rate of 46.8%. The univariate analysis results showed that the initial clinical lymph nodes negative(cN0) stage, Human Epidermal Growth Factor Receptor 2(HER2) positivity and breast pathological complete response(bpCR) were significantly correlated with high apCR rates(all P < 0.05). Multivariate analysis revealed that apCR exhibited a significant association with initial cN0 stage and HER2 positivity. The apCR rate for HER2-positive elderly patients with initial cN0 disease is 100.0%,whereas the lowest apCR rate is observed in HER2-negative and clinical lymph nodes positive(cN+) patients(36.0%). Subgroup analysis revealed a close relationship between molecular subtypes and apCR.
Conclusion: This study indicates that initial cN0 stage and HER2 positivity can serve as independent predictive factors for apCR after NAT in elderly breast cancer patients. HER2-positive elderly patients with initial cN0 stage can be considered exempt from axillary lymph node dissection(ALND) after standard NAT.
Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.1186/s12885-025-13571-9 | DOI Listing |
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11773802 | PMC |
J Med Internet Res
January 2025
Cancer Screening, American Cancer Society, Atlanta, GA, United States.
Background: The online nature of decision aids (DAs) and related e-tools supporting women's decision-making regarding breast cancer screening (BCS) through mammography may facilitate broader access, making them a valuable addition to BCS programs.
Objective: This systematic review and meta-analysis aims to evaluate the scientific evidence on the impacts of these e-tools and to provide a comprehensive assessment of the factors associated with their increased utility and efficacy.
Methods: We followed the 2020 PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) guidelines and conducted a search of MEDLINE, PsycINFO, Embase, CINAHL, and Web of Science databases from August 2010 to April 2023.
Cien Saude Colet
January 2025
Universidade Federal do Ceará. R. Alexandre Baraúna 1115, Rodolfo Teófilo. 60430-160 Fortaleza CE Brasil.
Mammography is one of the main methods available for breast cancer screening in Brazil. However, differences in timely access and performance of the exam can be highlighted based on social determinants of health, considered relevant due to their influence on the health situation of a population. Thus, the present study aimed to identify the social determinants of health associated with access to and performance of mammography in Brazilian women.
View Article and Find Full Text PDFCien Saude Colet
January 2025
Instituto René Rachou, Fundação Oswaldo Cruz (Fiocruz Minas). Av. Augusto de Lima 1715, Barro Preto. 30190-002 Belo Horizonte MG Brasil.
This article aims to identify the relationship between material deprivation and mortality from breast, cervical, and prostate neoplasms in the Brazilian adult population and the relationship between ethnicity/skin color and material deprivation. This cross-sectional ecological study calculated the mean mortality rate per 100,000 inhabitants, and deaths were standardized by age and gender and redistributed per to ill-defined causes, stratified by age group and ethnicity/skin color. We applied the Negative Binomial model, containing the interaction between ethnicity/skin color and the Brazilian Deprivation Index (IBP).
View Article and Find Full Text PDFBrief Bioinform
November 2024
Center for Artificial Intelligence Research, Wake Forest University School of Medicine, Winston-Salem, NC 27101, United States.
Pathway analysis plays a critical role in bioinformatics, enabling researchers to identify biological pathways associated with various conditions by analyzing gene expression data. However, the rise of large, multi-center datasets has highlighted limitations in traditional methods like Over-Representation Analysis (ORA) and Functional Class Scoring (FCS), which struggle with low signal-to-noise ratios (SNR) and large sample sizes. To tackle these challenges, we use a deep learning-based classification method, Gene PointNet, and a novel $P$-value computation approach leveraging the confusion matrix to address pathway analysis tasks.
View Article and Find Full Text PDFCancer Res
January 2025
INSERM U1194, Montpellier Cedex 05, Occitanie, France.
BRCA1 deficiency is observed in approximately 25% of triple-negative breast cancer (TNBC). BRCA1, a key player of homologous recombination (HR) repair, is also involved in stalled DNA replication fork protection and repair. Here, we investigated the sensitivity of BRCA1-deficient TNBC models to the frequently used replication chain terminator gemcitabine, which does not directly induce DNA breaks.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!