98%
921
2 minutes
20
Purpose: Statin use has been consistently associated with improved clinical outcomes (especially recurrence) in breast cancer in multiple observational studies backed by compelling preclinical evidence. The strength of this evidence warrants a clinical trial to test the efficacy of statin exposure on breast cancer recurrence.
Patients And Methods: The double-blind, phase III, randomized, placebo-controlled MASTER (MAmmary cancer STatins in ER positive breast cancer) trial includes women diagnosed with early-stage, estrogen receptor-positive (ER+) breast cancer who are candidates for systemic (neo)adjuvant therapy. Enrolled patients are given standard (neo)adjuvant therapy and additionally randomized to either atorvastatin (80 mg/day) or placebo for two years. The trial's primary outcome is invasive disease-free survival (IDFS), with a target accrual of 3360 patients in total to achieve 80% power (two-sided alpha=0.05) to detect a 25% reduction in the risk of an IDFS event comparing the statin and placebo arms. At 3-, 6-, 12-, and 24-month follow-up time points, patients will have blood drawn for biomarker studies, answer patient-reported outcome (PRO) questionnaires, and control for adverse events. Subsequently, patients will receive annual PRO-criteria for Adverse Events (CTCAE) questionnaires until the completion of their 10 years of follow-up. Secondary endpoints include additional clinical endpoints; pathological response (neo-adjuvant treated patients), recurrence-free survival, distant-recurrence-free interval, overall survival and cardiac death-free interval, co-morbidity, and health-related quality-of-life measured by PRO-CTCAE questionnaires during and beyond study medication. Translational endpoints are evaluated in collected blood- and tumor samples.
Discussion: If a protective effect of statins on breast cancer recurrence is supported by evidence from the MASTER trial, then the indications for a safe, well-tolerated, and inexpensive treatment can be expanded towards improved clinical outcomes for breast cancer patients.
Download full-text PDF |
Source |
---|---|
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC12011050 | PMC |
http://dx.doi.org/10.2147/CLEP.S509873 | DOI Listing |
JCO Glob Oncol
May 2025
Department of Biochemistry, All India Institute of Medical Sciences, New Delhi, India.
Purpose: Breast cancer remains a significant public health challenge globally, as well as in India, where it is the most frequently diagnosed cancer in females. Significant disparities in incidence, mortality, and access to health care across India's sociodemographically diverse population highlight the need for increased awareness, policy reform, and research.
Design: This review consolidates data from national cancer registries, global cancer databases, and institutional findings from a tertiary care center to examine the epidemiology, clinical challenges, and management gaps specific to India.
J Med Screen
September 2025
The Cancer Registry of Norway, Department of Screening programs, Norwegian Institute of Public Health, Oslo, Norway.
ObjectiveTo study the implications of implementing artificial intelligence (AI) as a decision support tool in the Norwegian breast cancer screening program concerning cost-effectiveness and time savings for radiologists.MethodsIn a decision tree model using recent data from AI vendors and the Cancer Registry of Norway, and assuming equal effectiveness of radiologists plus AI compared to standard practice, we simulated costs, effects and radiologist person-years over the next 20 years under different scenarios: 1) Assuming a €1 additional running cost of AI instead of the €3 assumed in the base case, 2) varying the AI-score thresholds for single vs. double readings, 3) varying the consensus and recall rates, and 4) reductions in the interval cancer rate compared to standard practice.
View Article and Find Full Text PDFJ Natl Cancer Inst
September 2025
Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Rockville, Maryland, United States.
Background: Among childhood cancer survivors, germline rare variants in autosomal dominant cancer susceptibility genes (AD CSGs) could increase subsequent neoplasm (SNs) risks, but risks for rarer SNs and by age at onset are not well understood.
Methods: We pooled the Childhood Cancer Survivor Study and St Jude Lifetime Cohort (median follow-up = 29.7 years, range 7.
PLoS One
September 2025
Institute of Computational Science and Technology, Guangzhou University, Guangzhou, China.
MicroRNAs (miRNAs) are critical regulators of gene expression in cancer biology, yet their spatial dynamics within tumor microenvironments (TMEs) remain underexplored due to technical limitations in current spatial transcriptomics (ST) technologies. To address this gap, we present STmiR, a novel XGBoost-based framework for spatially resolved miRNA activity prediction. STmiR integrates bulk RNA-seq data (TCGA and CCLE) with spatial transcriptomics profiles to model nonlinear miRNA-mRNA interactions, achieving high predictive accuracy (Spearman's ρ > 0.
View Article and Find Full Text PDFPLoS One
September 2025
Department of Hepatobiliary Surgery, The First Affiliated Hospital of Kunming Medical University, Kunming, Yunnan, China.
Objective: This study employs integrated network toxicology and molecular docking to investigate the molecular basis underlying 4-nonylphenol (4-NP)-mediated enhancement of breast cancer susceptibility.
Methods: We integrated data from multiple databases, including ChEMBL, STITCH, Swiss Target Prediction, GeneCards, OMIM and TTD. Core compound-disease-associated target genes were identified through Protein-Protein Interaction (PPI) network analysis.