Akademik Veri Yönetim Sistemi
Cancer Genomics and Proteomics, cilt.23, sa.2, ss.300-321, 2026 (SCI-Expanded, Scopus)
Background/Aim: Reprogramming somatic cells to an embryonic state opens a transformative pathway to convert cancer cells into benign ones. By delving into the changes that occur during this process, we can enhance our understanding of tumor development and unlock groundbreaking therapeutic strategies. In this study, we successfully reprogrammed the bladder cancer cell line using Yamanaka factors and conducted a stage-specific, comprehensive proteomic analysis of the resulting molecular changes. Materials and Methods: The bladder cancer cell line HTB-4 was reprogrammed and cultured on vitronectin-coated surfaces following Sendai virus reprogramming, enabling a thorough evaluation of pluripotent marker expression. Both parental and reprogrammed cells were tested for proliferation, migration, invasion, and colony formation. nLC-MS/MS analysis was performed to identify molecular differences between parental bladder cancer cells and reprogrammed cells across initial passages. Results: Reprogrammed HTB-4 cells retain their ability to adhere and exhibit significant expression of pluripotency-associated proteins, forming colony-like structures. Stage-specific proteomic analyses reveal notable differences between reprogrammed cells and progenitor cells, particularly in pathways related to epithelial-mesenchymal transition, stem cell maintenance, and differentiation. Conclusion: We developed an in vitro model of bladder cancer reprogramming that identifies biomarkers associated with the induction of stem-like states and cellular plasticity. Our findings reveal significant stage-specific proteomic changes offering insights into the hierarchical organization of bladder cancer and the molecular mechanisms underlying the cancer stem cell phenotype. These results facilitate the development of more precise, patient-specific in vitro models for studying tumor recurrence and treatment resistance. However, further mechanistic studies are needed to translate effectively potential biomarkers into clinical practice.