Cellular Signalling, Journal Year: 2024, Volume and Issue: 127, P. 111552 - 111552
Published: Dec. 4, 2024
Language: Английский
Cellular Signalling, Journal Year: 2024, Volume and Issue: 127, P. 111552 - 111552
Published: Dec. 4, 2024
Language: Английский
International Journal of Molecular Sciences, Journal Year: 2024, Volume and Issue: 25(16), P. 8972 - 8972
Published: Aug. 17, 2024
Epithelial-mesenchymal transition (EMT) is a process in which an epithelial cell undergoes multiple modifications, acquiring both morphological and functional characteristics of mesenchymal cell. This dynamic initiated by various inducing signals that activate numerous signaling pathways, leading to the stimulation transcription factors. EMT plays significant role cancer progression, such as metastasis tumor heterogeneity, well drug resistance. In this article, we studied molecular mechanisms, epigenetic regulation, cellular plasticity EMT, microenvironmental factors influencing process. We included vivo vitro models investigation clinical implications use curing oncological patients targeting its therapies. Additionally, review concludes with future directions challenges wide field EMT.
Language: Английский
Citations
4Cancer Informatics, Journal Year: 2025, Volume and Issue: 24
Published: Jan. 1, 2025
Backgrounds: Bladder cancer (BLCA) has a high degree of intratumor heterogeneity, which significantly affects patient prognosis. We performed single-cell analysis BLCA tumors and organoids to elucidate the underlying mechanisms. Methods: Single-cell RNA sequencing (scRNA-seq) data samples were analyzed using Seurat, harmony, infercnv for quality control, batch correction, identification malignant epithelial cells. Gene set enrichment (GSEA), cell trajectory analysis, cycle regulatory network inference clustering (SCENIC) explored functional heterogeneity between subpopulations. Cellchat was used infer intercellular communication patterns. Co-expression identified co-expression modules anti-apoptotic subpopulation. A prognostic model constructed hub genes Cox regression, nomogram performed. The tumor immune dysfunction exclusion (TIDE) algorithm applied predict immunotherapy response. Results: Organoids recapitulated cellular mutational landscape parent tumor. progression characterized by mesenchymal features, epithelial-mesenchymal transition (EMT), microenvironment remodeling, metabolic reprograming. An subpopulation identified, aberrant gene expression, transcriptional instability, burden. Key regulators this included CEBPB, EGR1, ELF3, EZH2. This interacted with stromal cells through signaling pathways such as FGF, CXCL, VEGF promote progression. Myofibroblast cancer-associated fibroblasts (mCAFs) inflammatory (iCAFs) differentially contributed metastasis. Protein-protein interaction (PPI) related apoptosis, proliferation, metabolism in 5-gene risk developed prognosis, associated checkpoint suggesting potential implications immunotherapy. Conclusions: distinct key driver significance, laying foundation development new therapeutic strategies improve outcomes.
Language: Английский
Citations
0Pathology - Research and Practice, Journal Year: 2025, Volume and Issue: 268, P. 155873 - 155873
Published: Feb. 27, 2025
Language: Английский
Citations
0Stem Cells Translational Medicine, Journal Year: 2024, Volume and Issue: 13(12), P. 1178 - 1185
Published: Oct. 10, 2024
The tumor microenvironment (TME) significantly influences cancer progression, and mesenchymal stem cells (MSCs) play a crucial role in interacting with via paracrine signaling, affecting behaviors such as proliferation, migration, epithelial-mesenchymal transition. While conventional 2D culture models have provided valuable insights, they cannot fully replicate the complexity diversity of TME. Therefore, developing 3D systems that better mimic vivo conditions is essential. This review delves into heterogeneous nature TME, spotlighting MSC-tumor cellular signaling advancements technologies. Utilizing MSCs therapy presents opportunities to enhance treatment effectiveness overcome resistance mechanisms. Understanding MSC interactions within TME leveraging can advance novel therapies improve clinical outcomes. Additionally, this underscores therapeutic potential engineered MSCs, emphasizing their targeted anti-cancer treatments.
Language: Английский
Citations
1Cellular Signalling, Journal Year: 2024, Volume and Issue: 127, P. 111552 - 111552
Published: Dec. 4, 2024
Language: Английский
Citations
0