Articles tagged with Cancer Cell Phenotypes
A new method using label-free optical microscopy and artificial intelligence effectively identifies disease phenotypes in pancreatic cancer. The approach achieved nearly 90% accuracy in predicting tissue phenotypes, demonstrating the promise of combining light-based imaging with AI for precision medicine.
A novel reporter cell experimental system enables the visualization of sequential changes during endothelial-mesenchymal transition (EndoMT) induced by transforming growth factor-β. Researchers identified CD40 as a potential partial EndoMT marker, which suppresses the transition from partial to full EndoMT.
A study published in Cancer Research identifies a novel mechanism by which liver cancer develops, involving the aberrant activation of the Wnt signaling pathway and the gene GREB1. The research reveals that GREB1 is responsible for integrating conflicting cellular states of differentiation and proliferation, leading to tumor promotion.
Researchers at Tokyo Medical and Dental University developed a new technique to detect breast cancer-related markers using transistors, offering a less invasive method for monitoring patients. The system successfully detected epidermal growth factor receptor expression on cancer cells.
Researchers discovered a type of triple-negative breast cancer cell that can trigger dormancy, evading therapies and allowing for efficient survival in distant organs. This finding highlights the need for more selective therapeutic strategies targeting both dividing and invasive dormant cells.
Scientists have developed Live-seq, an innovative approach that keeps cells alive during RNA extraction for further study. This technique uses FluidFM to manipulate tiny volumes of fluids in a sample under the microscope, allowing for the insertion and extraction of mRNA from single cells without killing them.
Researchers at Osaka University identified Src as a key molecule in the process of epithelial cells becoming invasive and cancerous. The study found that CDCP1 forms a molecular scaffold that activates Src, promoting cancer cell invasion.
A new method traces real-time cancer progression across thousands of cells, identifying rare events and distinct gene expression profiles associated with metastatic phenotypes. The approach could inform aspects of cellular cancer biology, including genetic mutations, microenvironment adaptation and resistance to therapeutic agents.