Enhancing Therapeutic Response and Overcoming Resistance to Checkpoint Inhibitors in Ovarian Cancer through Cell Cycle Regulation.

Int J Mol Sci

State Key Laboratory of Radio Frequency Heterogeneous Integration, Key Laboratory of Optoelectronic Devices and Systems of Guangdong Province and Ministry of Education, College of Physics and Optoelectronic Engineering, Shenzhen University, Shenzhen 518060, China.

Published: September 2024

AI Article Synopsis

  • Tumor cells invade nearby tissues through division, and this study examines how changes in cell cycle regulation affect the immune response in ovarian cancer.
  • Researchers used a Förster resonance energy transfer (FRET) sensor to observe real-time cell activity and how apoptosis-induced changes impact fluorescence in cells.
  • The study found that altering the cell cycle process improves the effectiveness of immunotherapy in tumor mouse models, suggesting a potential strategy to boost the immune response against ovarian cancer.

Article Abstract

Tumor cells invade normal surrounding tissues through continuous division. In this study, we hypothesized that cell cycle regulation changes the immune efficacy of ovarian cancer. To investigate this hypothesis, a Förster resonance energy transfer (FRET) sensor was constructed to characterize the cell activity in real time. Cell shrinkage caused by apoptosis induces the aggregation of proteins on the cell membrane, leading to variations in the fluorescence lifetime of FRET sensors. Moreover, we tracked cell activity across various cycles following co-culture with an immune checkpoint inhibitor. Consequently, we assessed how cell cycle regulation influences immunotherapy in a tumor mouse model. This approach, which involves inhibiting typical cell cycle processes, markedly enhances the effectiveness of immunotherapy. Our findings suggest that modulating the cycle progression of cancer cells may represent a promising approach to enhance the immune response of ovarian cancer cells and the efficacy of immunotherapy based on immune checkpoint inhibitors.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11431879PMC
http://dx.doi.org/10.3390/ijms251810018DOI Listing

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