Introduction: Differences in breast cancer survival by race and ethnicity are often assumed to be a fairly recent phenomenon, and are hypothesized to have arisen due to gaps in receipt of screening or therapy. The emergence of these differences in calendar time have implications for identification of their origin. We sought to determine whether breast cancer survival differences by race or ethnicity arose in tandem with the advent of screening or therapeutic advances.
Materials And Methods: A cohort of women diagnosed with invasive breast cancer from 1975-2009 in 18 population-based registries were followed for five-year breast cancer cause-specific survival. Differences in survival according to race/ethnicity and estrogen receptor status were quantified in Cox proportional hazards models, with estimation of hazard ratios (HR), 95% confidence intervals (CI), and absolute risk differences. For 2010, we also assessed differences in survival by breast cancer subtypes defined by hormone receptor and Her2/neu status.
Results: Among over 930,000 women, initial differences in five-year breast cancer-specific survival by race became apparent among 1975-1979 diagnoses and continued to be evident, with stronger disparities apparent in those of Black vs. White Non-Hispanic (WNH) race and among estrogen-receptor positive vs. negative disease. Within breast cancer subtype, all included race/ethnic groups experienced disparate survival in comparison with WNH women for triple-negative disease. Black women had a consistent gap in absolute survival of .10-.12, compared with WNH women, from 1975-1979 through all included time periods, such that 5- year survival of Black women diagnosed in 2005-09 lagged more than 20 years behind that of WNH women.
Discussion: Survival differed by race for diagnoses that predate the introduction of mammographic screening and most therapeutic advances. Absolute differences in survival by race and ethnicity have remained almost constant over 40 years of observation, suggesting early origins for some contributors.
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http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6812853 | PMC |
http://journals.plos.org/plosone/article?id=10.1371/journal.pone.0224064 | PLOS |
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.
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