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Background: Breast cancer is considered the most prevalent type of cancer in women and accounts for a high rate of death. A body of research has demonstrated that lncRNAs have a regulatory function in human diseases, especially cancers. ZEB2-AS1 is known as an oncogenic lncRNA in various types of cancers, and its deregulation may contribute to cancer development and progression. Therefore, we aimed to reveal the association of ZEB2-AS1 expression with epithelial-mesenchymal transition (EMT) markers, as a hallmark of cancer progression, in a clinical setting.
Methods: A recent study suggested that ZEB2-AS1 is significantly involved in EMT. Here we intended to explore the roles of lncRNA ZEB2-AS1 in breast cancer (BC) using bioinformatics tools and laboratory settings. We first evaluated the expression of ZEB2-AS1 mRNA in tumor and healthy control tissues by lnCAR database. Furthermore, ZEB2-AS1 expression level, ZEB2, E-cadherin, and vimentin was measured via qRT-PCR in 30 paired ductal and lobular carcinoma tissues from breast cancer patients and the normal adjacent ones. The correlation between the lncRNA ZEB2-AS1 expression and clinicopathological characteristics of the breast cancer patients was evaluated.
Results: ZEB2-AS1 showed an upregulation in breast cancer tissues (p = .04) compared to normal adjacent samples. In addition, its level was higher in breast cancer patients with advanced Stages (III & IV) (n = 18) compared to early Stages (I & II) (n = 12) (p = .04). Moreover, ZEB2 (p = .01) and vimentin (p = .02) expression were upregulated in the BC sample, but the expression level of E-cadherin (p = .02) was downregulated when compared with the adjacent normal tissues. By comparison of the expression of EMT-markers between different stages of breast cancer, overexpression of ZEB2 (p = .04) and vimentin (p = .04) and down expression of E-cadherin (p = .03) was observed in advance stages.
Conclusions: Collectively, our findings suggest that ZEB2-AS1 expression is significantly upregulated in tumor tissues, especially in advanced stages and ZEB2-AS1 is associated with the aggressiveness of tumors by functioning as putative oncogenic lncRNA. In addition, a combination of ZEB2-AS1 and these EMT markers in breast cancer potentiates these genes as biomarkers for tumor progression.
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http://dx.doi.org/10.1002/cnr2.1826 | 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.