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178 Bot and Obrocea<br />
types at maximum, via a set of randomized trials carried out in parallel. This<br />
approach would achieve a faster evaluation, in an objective fashion, of the efficacy<br />
of the cancer vaccine as opposed to using historical controls (a usual source for<br />
bias in the case of first–in-class investigational drugs). If used properly, this<br />
approach may prevent transition to phase 3 if the drug is not likely to be effective;<br />
conversely, this strategy may offer significant information and even anticipate the<br />
optimal design of the phase 3 program. In addition, due to the fact that cancer<br />
vaccines can be applied as adjuvants in minimal residual disease post-standard<br />
therapy, they can be used as a companion to standard therapy (combination<br />
approach) or in late stages, in refractory setting as monotherapy. Ideally, all these<br />
indications should be explored in parallel in a randomized phase 2b program to<br />
provide a data set to make appropriate recommendations for one or multiple<br />
pivotal phase 3 trials necessary for defining the product profile and registration.<br />
CONCLUSIONS<br />
In conclusion, due to cancer vaccines’ intrinsic nature (targeted therapies with<br />
indirect MOA) and scarcity of benchmarks in terms of late-stage or approved<br />
products, a re-designed translational approach would be fully beneficial for the<br />
development of such therapies. The critical element of this approach is the<br />
stratified medicine concept—essentially encompassing biomarker-guided R&D.<br />
This approach can be done through an iterative translational strategy aimed to<br />
optimize the investigational drug and define the target population prior to<br />
randomized trials. In addition, innovative, flexible, and adaptive clinical trial<br />
designs will support early generation of relevant data in humans. While there are<br />
differences in between technology platforms explored as cancer vaccines, these<br />
principles apply irrespectively and should result in an increased likelihood of<br />
success. To extract the essence of R&D in the post–human genome project era of<br />
molecular targeted approaches, we no longer develop drugs alone but also<br />
therapeutic approaches, encompassing both the means to identify the patient and<br />
the appropriate medicament.<br />
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1. Gattinoni L, Powell DJ Jr., Rosenberg SA, Restifo NP. Adoptive immunotherapy for<br />
cancer: building on success. Nat Rev Immunol 2006; 6(5):383–393.<br />
2. Dudley ME, Wunderlich JR, Robbins PF, et al. Cancer regression and autoimmunity<br />
in patients after clonal repopulation with antitumor lymphocytes. Science 2002;<br />
298:850–854.<br />
3. Quezada SA, Peggs KS, Curran MA, et al. CTLA4 blockade and GM-CSF combination<br />
immunotherapy alters the intratumor balance of effector and regulatory<br />
T cells. J Clin Invest 2006; 116(7):1935–1945.<br />
4. Weber JS, Mulé JJ. How much help does a vaccine-induced T-cell response need?<br />
J Clin Invest 2001; 107(5):553–554.