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tel-00827710, version 1 - 29 May 2013 and inhibitory drugs to limit immunosuppressive conditions in tumor microenvironment. Each of these strategies individually revealed only a limited efficiency, but promising results were obtained when several of them were given in combination (Dougan et al., 2010, Balachandran et al., 2011, Hodi et al., 2008). Interactions between the different approaches should be studied further to determine the best strategy(ies) to treat cancer. Bioavailability of the different molecules or vaccines, step of the immune response that is targeted and tumor growth, are all factors that should be taken into consideration to determine the optimal dose, sequence and timing for the application of the different treatment strategies. (i) Multiple effects of a given reagent Each of these strategies was developed to target one single element of the tumor development. Often side effects are observed and also must be considered when treatment combinations are planned. The response to a given vaccine may involve the contribution of unknown mechanims that could be modified by a second therapy given concurrently. As we observed in our model, a given cytokine, type I IFN, has pleiotropic roles on both immune and non- immune cells; a given adjuvant, poly I:C, is responsible for its direct effect through TLR and RLR engagement but also provides a second wave of activation through type I IFN (Figures 52 and 54). Interestingly, molecules developed to target signaling pathways implicated in tumor survival and growth have been demonstrated to also be involved in the activation and differentiation of immune cells (Vanneman and Dranoff, 2012). For example, cetuximab is an anti-tumor agent composed of neutralizing antibodies directed against the EGF receptor. It blocks the growth signaling pathway in tumor cells; however it has also been demonstrated to facilitate the uptake of tumor cells by inducing the formation of immune complexes (Correale et al., 2012). IAP inhibitors that sensitize tumor cells to apoptosis actually enhance T and NK cell function (Fesik, 2005; Dougan et al., 2010). This dual activity illustrates the need for an in-depth understanding of the various actions of a given molecule on tumor cells, but also in the context of the immune response, such that optimal administration conditions can be determined and potential combinatorial side effects can be identified and predicted. (ii) Opposite effects of reagents depending on the timing of administration We observed in our model that early delivery of poly I:C inhibited subsequent priming while, if delivered a few days later, it boosted the same response (Figure 37). The same functionally opposing effects have been observed for other molecules depending on the timing of administration. Sunitinib is an inhibitor of tyrosine kinase receptors such as VEGF or PDGF receptors and this inhibition results in limiting tumor growth. Moreover it also acts on 174
tel-00827710, version 1 - 29 May 2013 immune cells, reducing the immunosuppressive action of regulatory T cells and MDSCs. Farsaci et al. tested combinations of sunitinib with a vaccine in a mouse tumor model (Farsaci et al., 2012). Co-administration of sunitinib with vaccine, or sequential injection of vaccine and then sunitinib did not show an anti-tumor benefit compared to sunitinib alone. In contrast, when vaccine was administered after sunitinib treatment, it induced a better anti-tumor response. The possible explanation is that sunitinib triggered a less immunosuppressive environment, favoring the development of a more robust immune response once vaccine was administered. (iii) Determine optimal sequence and timing to combine several treatments From our knowledge regarding mechanism, processing and interactions between the different molecules, we would eventually be able to predict what may be the optimal timing and treatment strategy for their administration and combination (Figure 57). Although, for this, a much more thorough understanding of their multiple actions on tumors and on the immune system is absolutely necessary. Once established and confirmed by experimental model data, these predictions would then have to be tested in pre-clinical trials. Page 175 of 256
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tel-00827710, version 1 - 29 May 2013<br />
immune cells, reducing the immunosuppressive action of regulatory T cells and MDSCs.<br />
Farsaci <strong>et</strong> al. tested combinations of sunitinib with a vaccine in a mouse tumor mo<strong>de</strong>l (Farsaci<br />
<strong>et</strong> al., 2012). Co-administration of sunitinib with vaccine, or sequential injection of vaccine<br />
and then sunitinib did not show an anti-tumor benefit compared to sunitinib alone. In contrast,<br />
when vaccine was administered after sunitinib treatment, it induced a b<strong>et</strong>ter anti-tumor<br />
response. The possible explanation is that sunitinib triggered a less immunosuppressive<br />
environment, favoring the <strong>de</strong>velopment of a more robust immune response once vaccine was<br />
administered.<br />
(iii) D<strong>et</strong>ermine optimal sequence and timing to combine<br />
several treatments<br />
From our knowledge regarding mechanism, processing and interactions b<strong>et</strong>ween the different<br />
molecules, we would eventually be able to predict what may be the optimal timing and<br />
treatment strategy for their administration and combination (Figure 57). Although, for this, a<br />
much more thorough un<strong>de</strong>rstanding of their multiple actions on tumors and on the immune<br />
system is absolutely necessary. Once established and confirmed by experimental mo<strong>de</strong>l data,<br />
these predictions would then have to be tested in pre-clinical trials.<br />
Page 175 of 256