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Ribba2018 - Mathematical Model of Tumor Uptake for Immunocytokine-Based Cancer Immunotherapy


ABSTRACT:

This is a model developed to predict concentrations of cergutuzumab amunaleukin (CEA-IL2v) after various systemic dosing intensities.

SUBMITTER: Johannes Meyer 

PROVIDER: MODEL1909050002 | biostudies-other |

SECONDARY ACCESSION(S): 29463551

REPOSITORIES: biostudies-other

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Publications

Prediction of the Optimal Dosing Regimen Using a Mathematical Model of Tumor Uptake for Immunocytokine-Based Cancer Immunotherapy.

Ribba Benjamin B   Boetsch Christophe C   Nayak Tapan T   Grimm Hans Peter HP   Charo Jehad J   Evers Stefan S   Klein Christian C   Tessier Jean J   Charoin Jean Eric JE   Phipps Alex A   Pisa Pavel P   Teichgräber Volker V  

Clinical cancer research : an official journal of the American Association for Cancer Research 20180220 14


<b>Purpose:</b> Optimal dosing is critical for immunocytokine-based cancer immunotherapy to maximize efficacy and minimize toxicity. Cergutuzumab amunaleukin (CEA-IL2v) is a novel CEA-targeted immunocytokine. We set out to develop a mathematical model to predict intratumoral CEA-IL2v concentrations following various systemic dosing intensities.<b>Experimental Design:</b> Sequential measurements of CEA-IL2v plasma concentrations in 74 patients with solid tumors were applied in a series of differe  ...[more]

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