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Park, J. A.

Publications and source records attributed to Park, J. A..

2 recordsLinked to original sources

Overcoming Tumor Heterogeneity by Ex Vivo Arming of T Cells Using Multiple Bispecific Antibodies

PurposeTumoral heterogeneity is a hallmark of tumor evolution and cancer progression, being a longstanding challenge to targeted immunotherapy. Ex vivo armed T cells (EATs) using IgG-[L]- scFv bispecific antibodies (BsAbs) are potent tumor-specific cytotoxic effectors. To improve the anti-tumor efficacy of EATs against heterogeneous solid tumors, we explored multi-antigen targeting approaches. MethodsEx vivo expanded T cells were armed with BsAbs built on the IgG-[L]-scFv platform, where an anti-CD3 (huOKT3) scFv was attached to the carboxyl end of both light chains of a tumor specific IgG. Multispecificity was created by combining monospecific EATs, combining BsAbs on the same T cell, or combining specificities on the same antibody. Three multi-antigens targeting EAT strategies were tested: (1) pooled EATs (simultaneous combination of monospecific EATs or alternate EATs (alternating combination of monospecific EATs), (2) dual-EATs or multi- EATs (T cells simultaneously armed with [≥] 2 BsAbs), and (3) TriAb-EATs [T cells armed with BsAb specific for two tumor targets besides CD3 (TriAb)]. The properties and efficiencies of these 3 strategies were evaluated by flow cytometry, in vitro cytotoxicity, cytokine release assays, and in vivo studies performed in BALB-Rag2-/-IL-2R-{gamma}c-KO (BRG) mice xenografted with cancer cell line (CDX) or patient-derived tumor (PDX). ResultsMulti-EATs retained target antigen specificity and anti-tumor potency. Cytokine release with multi-EATs in the presence of tumor cells was substantially less than when multiple BsAbs were mixed with unarmed T cells. When tested against CDXs or PDXs, dual- or multi-EATs effectively suppressed tumor growth without clinical toxicities. Most importantly, dual- or multi- EATs were highly efficient in preventing clonal escape while mono- or TriAb- EATs were not as efficient. ConclusionArming T cells with multiple BsAbs enabled multi-specific T cell immunotherapy which overcomes tumor heterogeneity without excessive cytokine release.

cancer biology↗

Homogenization of a Reaction Diffusion Equation can Explain Influenza A Virus Load Data

We study the influence of spatial heterogeneity on the antiviral activity of mouse embryonic fibroblasts (MEF) infected with influenza A. MEF of type Ube1L-/- are composed of two distinct sub-populations, the strong type that sustains a strong viral infection and the weak type, sustaining a weak viral load. We present new data on the virus load infection of Ube1L-/-, which have been micro-printed in a checker board pattern of different sizes of the inner squares. Surprisingly, the total viral load at one day after inoculation significantly depends on the sizes of the inner squares. We explain this observation by using a reaction diffusion model and we show that mathematical homogenization can explain the observed inhomogeneities. If the individual patches are large, then the growth rate and the carrying capacity will be the arithmetic means of the patches. For finer and finer patches the average growth rate is still the arithmetic mean, however, the carrying capacity uses the harmonic mean. While fitting the PDE to the experimental data, we also predict that a discrepancy in virus load would be unobservable after only half a day. Furthermore, we predict the viral load in different inner squares that had not been measured in our experiment and the travelling distance the virions can reach after one day.

microbiology↗