Figure 3 Drug cycling with collateral sensitivity

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Optimization of personalized therapies for anticancer treatment Alexei Vazquez The Cancer Institute of New Jersey.

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Figure 2 Response after initial increase in total tumour burden

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Volume 1, Issue 5, Pages (November 2007)

Figure 4 Example of PK/PD simulation to optimize a vinorelbine treatment regimen Figure 4 | Example of PK/PD simulation to optimize a vinorelbine treatment.

Figure 2 Multiscale modelling in oncology

Figure 5 Schematic illustration of different clinical trial designs

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Figure 1 Generations of cancer vaccine antigens

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Figure 3 Monitoring clonal evolution using liquid biopsies

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Figure 4 Possible combination therapies CDK4/6 inhibitors

Figure 2 Therapeutic targeting of the PI3K/AKT/mTOR pathway

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Figure 1 Treatment-induced resistance and evolution to lineage crisis

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Figure 2 The association between CD8+ T‑cell density of the tumour

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Figure 2 Differences between MC and AC

Figure 3 Possible modalities for reconciliation of patient's and physician's report of symptomatic treatment-associated toxicities Figure 3 | Possible.

chemotherapy for patients with MC versus those with AC

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Figure 1 Critical signalling pathways involved in PDAC pathogenesis

Figure 4 Treatment plans using stereotactic body radiotherapy (SBRT)

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Presentation transcript:

Figure 3 Drug cycling with collateral sensitivity Figure 3 | Drug cycling with collateral sensitivity. Drug cycling with collateral sensitivity uses rational drug-pairing to eradicate treatment-resistant cancer cells. Tumours that have become resistant to a drug should be rationally treated with a new combination of drugs. The application of consecutive cycles of complementary anticancer drugs could, in principle, be more effective than conventional single-agent or drug-pairing protocols that lack the benefits of collateral sensitivity. The cyclical application of drug partners working through collateral sensitivity could maximize cytotoxic effects while, at the same time, minimizing toxicities in patients. Roubaud, G. et al. (2016) Strategies to avoid treatment-induced lineage crisis in advanced prostate cancer Nat. Rev. Clin. Oncol. doi:10.1038/nrclinonc.2016.181