American Association for Cancer Research
10780432ccr120738-sup-fig1.pdf (58.93 kB)

Supplementary Figure 1 from Antitumor Activity of Targeted and Cytotoxic Agents in Murine Subcutaneous Tumor Models Correlates with Clinical Response

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journal contribution
posted on 2023-03-31, 17:07 authored by Harvey Wong, Edna F. Choo, Bruno Alicke, Xiao Ding, Hank La, Erin McNamara, Frank-Peter Theil, Jay Tibbitts, Lori S. Friedman, Cornelis E.C.A. Hop, Stephen E. Gould

PDF file, 58KB, Representative plots of mean tumor volume versus time are shown for dose ranging studies with various anti-cancer agents in xenograft/allograft mice.



Purpose: Immunodeficient mice transplanted with subcutaneous tumors (xenograft or allograft) are widely used as a model of preclinical activity for the discovery and development of anticancer drug candidates. Despite their widespread use, there is a widely held view that these models provide minimal predictive value for discerning clinically active versus inactive agents. To improve the predictive nature of these models, we have carried out a retrospective population pharmacokinetic–pharmacodynamic (PK–PD) analysis of relevant xenograft/allograft efficacy data for eight agents (molecularly targeted and cytotoxic) with known clinical outcome.Experimental Design: PK–PD modeling was carried out to first characterize the relationship between drug concentration and antitumor activity for each agent in dose-ranging xenograft or allograft experiments. Next, simulations of tumor growth inhibition (TGI) in xenografts/allografts at clinically relevant doses and schedules were carried out by replacing the murine pharmacokinetics, which were used to build the PK–PD model with human pharmacokinetics obtained from literature to account for species differences in pharmacokinetics.Results: A significant correlation (r = 0.91, P = 0.0008) was observed between simulated xenograft/allograft TGI driven by human pharmacokinetics and clinical response but not when TGI observed at maximum tolerated doses in mice was correlated with clinical response (r = 0.36, P = 0.34).Conclusions: On the basis of these analyses, agents that led to greater than 60% TGI in preclinical models, at clinically relevant exposures, are more likely to lead to responses in the clinic. A proposed strategy for the use of murine subcutaneous models for compound selection in anticancer drug discovery is discussed. Clin Cancer Res; 18(14); 3846–55. ©2012 AACR.