The cancer stem cell marker, EpCAM, is an important indicator of Wnt/β-catenin signaling activation and a functional component of hepatocellular tumor-initiating cells. A high-throughput screening assay was developed to identify inhibitors of EpCAM-dependent growth of hepatocellular carcinoma (HCC) cells. EpCAM(+) and EpCAM(-) HCC cell lines were assessed for differential sensitivity to a Wnt/β-catenin pathway inhibitor. Libraries comprising 22 668 pure compounds and 107 741 crude or partially purified natural product extracts were tested, and 12 pure compounds and 67 natural product extracts were identified for further study. Three active compounds and the positive control were further characterized in terms of effects on EpCAM expression. Treatment of EpCAM(+) Hep3B cells resulted in loss of EpCAM expression as assessed by flow cytometry. This reduction was incomplete (most cells continued to express EpCAM), but resulted in generation of cell populations expressing lower levels of EpCAM. Sublethal concentrations (~IC50 ) reduced median EpCAM expression to 28% of control after 1 day and 19% of control after 2 days. Reduction in EpCAM expression preceded growth inhibition suggesting that a threshold of EpCAM expression may be required for growth of EpCAM-dependent cells. The identification of compounds with a variety of possible molecular targets suggests a likelihood of multiple mechanisms for modulation of EpCAM-dependent cell growth.
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http://dx.doi.org/10.1111/cbdd.12146 | DOI Listing |
PLoS Pathog
January 2025
Department of Cancer and Genomic Sciences, College of Medicine and Health, University of Birmingham, Birmingham, United Kingdom.
Upon infection, human papillomavirus (HPV) manipulates host cell gene expression to create an environment that is supportive of a productive and persistent infection. The virus-induced changes to the host cell's transcriptome are thought to contribute to carcinogenesis. Here, we show by RNA-sequencing that oncogenic HPV18 episome replication in primary human foreskin keratinocytes (HFKs) drives host transcriptional changes that are consistent between multiple HFK donors.
View Article and Find Full Text PDFVet Comp Oncol
January 2025
Laboratory of Comparative and Translational Oncology, Department of Veterinary Medicine, Faculty of Animal Science and Food Engineering, University of São Paulo, Pirassununga, São Paulo, Brazil.
Inflammatory mammary carcinoma (IMC) is the most aggressive variant of invasive mammary tumours in dogs and in women. Decorin is an extracellular matrix molecule whose expression can be reduced or absent in various human cancers, which is associated with a poor prognosis. E-cadherin is a cell adhesion protein whose expression is reduced in several neoplasms.
View Article and Find Full Text PDFTzu Chi Med J
September 2024
School of Medicine, Tzu Chi University, Hualien, Taiwan.
Objectives: Gastric cancer (GC) is one of the most malignant tumors. Mounting studies highlighted gastric cancer stem cells (GCSCs) were responsible for the failure of treatment due to recurrence and drug resistance of advanced GC. However, targeted therapy against GCSC for improving GC prognosis suffered from lack of suitable models and molecular targets in terms of personalized medicine.
View Article and Find Full Text PDFAntibodies (Basel)
January 2025
Department of Urology, Medical Center-University of Freiburg, 79106 Freiburg im Breisgau, Germany.
Background/objectives: Photoimmunotherapy (PIT) is an innovative approach for the targeted therapy of cancer. In PIT, photosensitizer dyes are conjugated to tumor-specific antibodies for targeted delivery into cancer cells. Upon irradiation with visible light, the photosensitizer dye is activated and induces cancer-specific cell death.
View Article and Find Full Text PDFRedox Rep
December 2025
Department of Pediatrics, Shengjing Hospital of China Medical University, Shenyang, People's Republic of China.
Objectives: Asthma, a prevalent chronic disease, poses significant health threats and burdens healthcare systems. This study focused on the role of bronchial epithelial cells in asthma pathophysiology.
Methods: Bioinformatics was used to identify key asthmarelated genes.
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