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2<br />

Outlining the Gap Between Preclinical<br />

Models and Clinical Situation<br />

INTRODUCTION<br />

Daniel L. Levey<br />

Antigenics Inc., New York, New York, U.S.A.<br />

This chapter discusses preclinical models of cancer immunotherapy with emphasis<br />

on autologous (i.e., personalized) approaches, and the value of these models in<br />

predicting outcomes in human disease. No model is perfect, and transplantable<br />

rodent tumor cell lines are particularly challenging tools because of their rapid<br />

rate of growth from the moment of injection. In contrast, human cancers may be<br />

latent due to slow growth over a period of many months to years before manifesting<br />

themselves. It would thus seem unlikely that a rodent tumor cell line that<br />

progresses from an inoculum to a lethal mass four weeks later can teach us<br />

anything about the human disease. Nevertheless, because models of spontaneous<br />

tumors are not amenable to autologous immunotherapy approaches comprising<br />

each tumor’s unique constellation of mutated antigens, we currently must rely on<br />

established cell lines that generally become selected for rapidly dividing clones.<br />

Despite this challenging setting, the literature definitively shows that treatment<br />

of rodents with minimal tumor burden (wherein treatment begins no later than<br />

about 10 days post-tumor challenge or within a few days of surgical resection of<br />

the primary tumor) with personalized cancer vaccines improves survival to a<br />

significant degree. Such efficacy has been observed using several vaccine<br />

approaches. Treatment of longer established disease is less effective with these<br />

same approaches. Encouragingly, evidence has accumulated beyond just the<br />

31

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