Leveraging chromatin packing domains to target chemoevasion in vivo
Frederick, J.; Virk, R. K. A.; Ye, I. C.; Almassalha, L. M.; Wodarcyk, G. M.; VanDerway, D.; Carrillo Gonzalez, P.; Nap, R. J.; Agrawal, V.; Anthony, N. M.; Carinato, J.; Li, W. S.; Dunton, C. L.; Medina, K. I.; Kakkaramadam, R.; Jain, S.; Shahabi, S.; Ameer, G.; Szleifer, I. G.; Backman, V.
Show abstract
Cancer cells exhibit a remarkable resilience to cytotoxic stress, often adapting through transcriptional changes linked to alterations in chromatin structure. In several types of cancer, these adaptations involve epigenetic modifications and restructuring of topologically associating domains (TADs). However, the underlying principles by which chromatin architecture facilitates such adaptability across different cancers remain poorly understood. To investigate the role of chromatin in this process, we developed a physics-based mechanistic model that connects chromatin organization to cell fate decisions, specifically survival following chemotherapy. Our model builds on the observation that chromatin forms packing domains, which influence transcriptional efficiency through macromolecular crowding. The model accurately predicts chemoevasion in vitro, suggesting that changes in packing domains affect the likelihood of survival. Consistent results across diverse cancer types indicate that the model captures fundamental principles of chromatin-mediated adaptation, independent of the specific cancer or chemotherapy mechanisms involved. Based on these insights, we hypothesized that compounds capable of modulating packing domains, termed Transcriptional Plasticity Regulators (TPRs), could prevent cellular adaptation to chemotherapy. Using live-cell chromatin imaging, we conducted a compound screen that identified several TPRs which synergistically enhanced chemotherapyinduced cell death. The most effective TPR significantly improved therapeutic outcomes in a patient-derived xenograft (PDX) model of ovarian cancer. These findings underscore the central role of chromatin in cellular adaptation to cytotoxic stress and present a novel framework for enhancing cancer therapies, with broad potential across multiple cancer types.
Matching journals
The top 4 journals account for 50% of the predicted probability mass.
Similar papers in this journal
Similar papers in this journal
Similar papers in this journal
Similar papers in this journal
Similar papers in this journal
- The transcriptomic response of cells to a drug combination is more than the sum of the responses to the monotherapies 94%
- Single-cell growth inference of Corynebacterium glutamicum reveals asymptotically linear growth 94%
- Limited inhibition of multiple nodes in a driver network blocks metastasis 94%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.