Exploring tumor dynamics and responses of prostate cancer to IL-27 based treatment combinations through biodynamic imaging and RNA sequencing analyses.
기술보고
1/5 보강
The tumor microenvironment (TME) is a highly dynamic network shaped by immune, vascular, and stromal interactions, further modulated by extracellular factors.
APA
Kumar S, Lim D, et al. (2025). Exploring tumor dynamics and responses of prostate cancer to IL-27 based treatment combinations through biodynamic imaging and RNA sequencing analyses.. Scientific reports, 15(1), 42265. https://doi.org/10.1038/s41598-025-26300-w
MLA
Kumar S, et al.. "Exploring tumor dynamics and responses of prostate cancer to IL-27 based treatment combinations through biodynamic imaging and RNA sequencing analyses.." Scientific reports, vol. 15, no. 1, 2025, pp. 42265.
PMID
41298674
Abstract
The tumor microenvironment (TME) is a highly dynamic network shaped by immune, vascular, and stromal interactions, further modulated by extracellular factors. The high tumor heterogeneity complicates treatment due to evolving resistance. Biodynamic imaging (BDI), a 3D coherence-gated holography technique, quantifies intracellular motion to assess phenotypic responses to therapy. We applied BDI to prostate cancer (PCa) treated with IL-27-based combinations to evaluate the dynamic responses of immunotherapy. This study is the first to integrate BDI with RNA-seq to correlate physiological changes with gene expression. Using a subcutaneous PCa model, tumors were treated ex vivo with chemotherapy and immunomodulatory agents. BDI enabled capturing motion frequency shifts (0.01-12.5 Hz), while RNA-seq revealed the molecular changes in the tumors. IL-27 showed potential to modulate the immunologically "cold" TME and enhance therapeutic efficacy. This integrative approach offers a novel platform for evaluating combination strategies in PCa and may inform more effective treatment decisions.
MeSH Terms
Male; Prostatic Neoplasms; Humans; Tumor Microenvironment; Animals; Interleukin-27; Sequence Analysis, RNA; Mice; Cell Line, Tumor; Immunotherapy; Gene Expression Regulation, Neoplastic
같은 제1저자의 인용 많은 논문 (5)
- Proteasome Assembly Chaperone 3 Defines Metabolic-Immune Programs and Poor Prognosis in Breast Cancer via Multi-Omics Approaches.
- Molecular heterogeneity of Glioblastoma-associated microglia and macrophages and myeloid-derived suppressor cells: Insights from single-cell omics and therapeutic implications.
- Comment on «Comparing Prostatype® P-score and traditional risk models for predicting prostate cancer outcomes in Spain».
- Patterns of Disease Progression in Advanced Breast Cancer Patients Treated With Cyclin D Kinase 4/6 Inhibitors: Prognostic and Therapeutic Implications.
- Exploring vulnerable building blocks in protein-protein interaction networks of breast tumor and adjacent normal tissues.