Distinct evolutionary patterns of tumor immune escape and elimination determined by ECM architectures
Fan, Y.; George, J. T.
Show abstract
Cancer progression remains a significant clinical challenge. Phenotypic adaptation by tumor cells results in disease hetero-geneity, which drives treatment resistance and immune escape. T cell immunotherapy, while effective at treating some cancer subtypes, can also fail due to limits on tumor immunogenicity or T cell recognition. For example, one potential contributor to immune escape involves the density and alignment of the extracellular matrix (ECM) surrounding tumors, also known as Tumor-Associated Collagen Signature (TACS). However, the specific mechanisms by which aligned fibers contribute to decreased patient survival rates have not yet been decoupled. Here, we developed our EVO-ACT (EVOlutionary Agent-based Cancer T cell interaction) model to study how TACS affects tumor evolution and dynamic tumor-T cell interactions. We identified a variety of TACS-specific dynamical features that influence T cell infiltration, cancer immunoediting, and ultimate immune escape. Our model demonstrates how TACS and phenotypic adaptation together explain overall survival trends in breast cancer.
Matching journals
The top 5 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- Circulating immune cell phenotype dynamics reflect the strength of tumor-immune cell interactions in patients during immunotherapy 95%
- Impact of crowding on the diversity of expanding populations 95%
- Polymerization force-regulated actin filament-Arp23 complex interaction dominates self-adaptive cell migrations 95%
Similar papers in this journal
- Population Dynamics of Immunological Synapse Formation Induced by Bispecific T-cell Engagers Predict Clinical Pharmacodynamics and Treatment Resistance 95%
- Size-dependent patterns of cell proliferation and migration in freely-expanding epithelia 95%
- Catalytic growth in a shared enzyme pool ensures robust control of centrosome size 95%
Similar papers in this journal
Similar papers in this journal
- Gene networks with transcriptional bursting recapitulate rare transient coordinated expression states in cancer 94%
- Markov Field network integration of multi-modal data predicts effects of immune system perturbations on intravenous BCG vaccination in macaques 93%
- Synthetic coevolution reveals adaptive mutational trajectories of neutralizing antibodies and SARS-CoV-2 93%
Similar papers in this journal
- Epithelial competition determines gene therapy potential to suppress Fanconi Anemia oral cancer risk 95%
- A Boolean network model of hypoxia, mechanosensing and TGF-β signaling captures the role of phenotypic plasticity and mutations in tumor metastasis 94%
- Early exposure to broadly neutralizing antibodies may trigger a dynamical switch from progressive disease to lasting control of SHIV infection 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.