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Introduction: This study aims to examine the impact of Rukangyin (RKY) and its components, LSQR and QTSS, on various cellular processes and signaling mechanisms in MDA-MB-231 triple-negative breast cancer (TNBC) cells.
Methods: Twenty-five Sprague-Dawley (SD) rats were randomly assigned to five groups according to the administered drugs, including the RKY group, LSQR group, QTSS group, fluorouracil group, and blank control group (n=5 in each group). The serum samples from each group were then used as a medicated medium for the culture of the TNBC cell line MDA-MB-231. Cell viability tests, apoptosis detection tests, and migration and invasion tests were used to evaluate the cytotoxicity of treated serum. YAP, TAZ, MST1, and LATS1 protein expression and phosphorylation were examined using conventional western blotting methods.
Results: RKY and its QTSS and LSQR components significantly inhibited cell growth and promoted apoptosis in MDA-MB-231 cells. RKY also significantly blocked cell motility with a comparable effect to that of fluorouracil. All serum groups suppressed YAP and TAZ expressions while increasing p-YAP, p-TAZ, MST1, and LATS1 levels, with RKY showing superior efficacy.
Discussion: In TNBC cells, RKY appears to enhance the tumor-suppressing signals of the Hippo signaling pathway via MST1, LATS1 activation, while restricting its pro-oncogenic action via YAP and TAZ blockade. However, in vivo and animal model experiments are required to confirm these findings.
Conclusion: RKY-medicated serum effectively inhibits growth, induces apoptosis, and reduces motility in the MDA-MB-231 cell line of breast cancer. This therapeutic potential of RKY on TNBC cells draws attention to the need for more investigations.
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http://dx.doi.org/10.2174/0113892010402625250730085430 | 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.