ArticleScientific reports2019
Sequential adjustment of cytotoxic T lymphocyte densities improves efficacy in controlling tumor growth.
Article in Scientific reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
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Who cites it
14 citing papers in PubMed, 19 citations in OpenAlex.
- Decoupling T cell cytotoxicity: a CCL21+ICAM1-based synthetic immune niche enhances tumor elimination by accelerating lytic hit delivery.BMC cancer · 2026Article
- Mathematical modeling of immune counter-regulation predicts efficacy of fractionated CD8Scientific reports · 2026Article
- Measurement of T Cell Migration by T Cell-Dependent Bispecific Antibody in Cancer Cells and T Cell Cross-Linking.Methods in molecular biology (Clifton, N.J.) · 2026Article
- Cell-associated galectin 9 interacts with cytotoxic T cells confers resistance to tumor killing in nasopharyngeal carcinoma through autophagy activation.Cellular & molecular immunology · 2025Article
- A mechanistic quantitative systems pharmacology model platform for translational efficacy evaluation and checkpoint combination design of bispecific immuno-modulatory antibodies.Frontiers in pharmacology · 2025Article
- Agent-based modeling in cancer biomedicine: applications and tools for calibration and validation.Cancer biology & therapy · 2024Review
- Mechanistic model of radiotherapy-induced lung fibrosis using coupled 3D agent-based and Monte Carlo simulations.Communications medicine · 2024Article
- "Digital twins elucidate critical role of TNPJ systems biology and applications · 2024Article
- Cytotoxic T Lymphocytes Control Growth of B16 Tumor Cells in Collagen-Fibrin Gels by Cytolytic and Non-Lytic Mechanisms.Viruses · 2023Article
- Mathematical modeling suggests cytotoxic T lymphocytes control growth of B16 tumor cells in collagin-fibrin gels by cytolytic and non-lytic mechanisms.bioRxiv : the preprint server for biology · 2023Article
- Review
- Tumor-specific cytolytic CD4 T cells mediate immunity against human cancer.Science advances · 2021Article
- Evaluation of CD8 T cell killing models with computer simulations of 2-photon imaging experiments.PLoS computational biology · 2020Article
- To Remember or to Forget: The Role of Good and Bad Memories in Adoptive T Cell Therapy for Tumors.Frontiers in immunology · 2020Review
Corrections and comments
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Authors and funding
5 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Understanding the human cytotoxic T lymphocyte (CTL) biology is crucial to develop novel strategies aiming at maximizing their lytic capacity against cancer cells. Here we introduce an agent-based model, calibrated on population-scale experimental data that allows quantifying human CTL per capita killing. Our model highlights higher individual CTL killing capacity at lower CTL densities and fits experimental data of human melanoma cell killing. The model allows extending the analysis over prolonged time frames, difficult to investigate experimentally, and reveals that initial high CTL densities hamper efficacy to control melanoma growth. Computational analysis forecasts that sequential addition of fresh CTL cohorts improves tumor growth control. In vivo experimental data, obtained in a mouse melanoma model, confirm this prediction. Taken together, our results unveil the impact that sequential adjustment of cellular densities has on enhancing CTL efficacy over long-term confrontation with tumor cells. In perspective, they can be instrumental to refine CTL-based therapeutic strategies aiming at controlling tumor growth.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.