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August 15, 2025Open Access

Supplementary Fig. S2 from Mathematical Modeling and Association Analysis Decipher the Impact of the Gut Microbiome on Cancer Immunotherapy

Andreas G. Hadjigeorgiou Constantinos Harkos Aditya K. Mishra Golnaz Morad Sarah B. Johnson Nadim J. Ajami Jennifer A. Wargo Lance L. Munn Triantafyllos Stylianopoulos Rakesh K. Jain

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Key Points

Model predictions align with experimental tumor growth curves, suggesting effective parameter settings.
Baseline parameter values were defined through comparison of growth curves and model simulations.
This analysis utilized mathematical methods to assess interactions between the gut microbiome and cancer treatment efficacy.
Understanding these dynamics may enhance cancer immunotherapy strategies by leveraging microbiome data.

Implication

Mathematical modeling shows tumor growth predictions in the context of gut microbiome, indicating its role in immunotherapy outcomes.

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Cite This Study

Hadjigeorgiou et al. (2025) studied this question.

synapsesocial.com/papers/68af50a1ad7bf08b1ead8a8f https://doi.org/10.1158/0008-5472.29918663

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Keep reading

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

1Supplementary Fig. S6 from Mathematical Modeling and Association Analysis Decipher the Impact of the Gut Microbiome on Cancer Immunotherapy2025
2Supplementary Fig. S4 from Mathematical Modeling and Association Analysis Decipher the Impact of the Gut Microbiome on Cancer Immunotherapy2025
3Supplementary Fig. S5 from Mathematical Modeling and Association Analysis Decipher the Impact of the Gut Microbiome on Cancer Immunotherapy2025
4Supplementary Fig. S1 from Mathematical Modeling and Association Analysis Decipher the Impact of the Gut Microbiome on Cancer Immunotherapy2025
5Supplementary Information from Mathematical Modeling and Association Analysis Decipher the Impact of the Gut Microbiome on Cancer Immunotherapy2025

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