Modelling the risk-benefit impact of H1N1 influenza vaccines

BACKGROUND: Shortly after the H1N1 influenza virus reached pandemic status in June 2009, the benefit-risk project team at the European Medicines Agency recognized this presented a research opportunity for testing the usefulness of a decision analysis model in deliberations about approving vaccines soon based on limited data or waiting for more data. Undertaken purely as a research exercise, the model was not connected to the ongoing assessment by the European Medicines Agency, which approved the H1N1 vaccines on 25 September 2009. METHODS: A decision tree model constructed initially on 1 September 2009, and slightly revised subsequently as new data were obtained, represented an end-of-September or end-of-October approval of vaccines. The model showed combinations of uncertain events, the severity of the disease and the vaccines' efficacy and safety, leading to estimates of numbers of deaths and serious disabilities. The group based their probability assessments on available information and background knowledge about vaccines and similar pandemics in the past. RESULTS: Weighting the numbers by their joint probabilities for all paths through the decision tree gave a weighted average for a September decision of 216 500 deaths and serious disabilities, and for a decision delayed to October of 291 547, showing that an early decision was preferable. CONCLUSIONS: The process of constructing the model facilitated communications among the group's members and led to new insights for several participants, while its robustness built confidence in the decision. These findings suggest that models might be helpful to regulators, as they form their preferences during the process of deliberation and debate, and more generally, for public health issues when decision makers face considerable uncertainty

Potent and selective inhibitors of breast cancer resistance protein (ABCG2) derived from the p-glycoprotein (ABCB1) modulator tariquidar

The efflux pumps ABCB1 (p-gp, MDR1) and ABCG2 (BCRP) are expressed to a high extent by endothelial cells at the blood-brain barrier (BBB) and other barrier tissues, and are involved in drug resistance of tumor (stem) cells. Whereas numerous ABCB1 inhibitors are known, only a few ABCG2 modulators with submicromolar activity have been published. Starting from tariquidar (4) analogs as ABCB1 modulators, minimal structural modifications resulted in a drastic shift in favor of ABCG2 inhibition. Highest potency was found when the 3,4-dimethoxy-2-(quinoline-3-carbonylamino)benzoyl moiety in 4 was replaced with a 4-methoxycarbonylbenzoyl moiety bearing a hetarylcarboxamido group in 3-position, e.g. quinoline-3-carboxamido (5, IC50: 119 nM) or quinoline-2-carboxamido (6, IC50: 60 nM, flow cytometric mitoxantrone efflux assay, topotecan-resistant MCF-7 breast cancer cells); the selectivity for ABCG2 over ABCB1 was about 100-500 fold; the compounds were inactive at ABCC2 (MRP2). Chemosensitivity assays against MCF-7/Topo cells revealed that the non-toxic inhibitor 6 completely reverted ABCG2-mediated topotecan resistance at concentrations >100 nM, whereas 5 showed ABCG2 independent cytotoxicity. ABCG2 inhibitors might be useful for cancer treatment with respect to reversal of multidrug-resistance, overcoming the BBB and targeting of tumor stem-cells

ABCG2 impairs the activity of the aurora kinase inhibitor tozasertib but not of alisertib.

BACKGROUND Recently, we have shown that the ATP-binding cassette (ABC) transporter ABCB1 interferes with the anti-cancer activity of the pan-aurora kinase inhibitor tozasertib (VX680, MK-0457) but not of the aurora kinase A and B inhibitor alisertib (MLN8237). Preliminary data had suggested tozasertib also to be a substrate of the ABC transporter ABCG2, another ABC transporter potentially involved in cancer cell drug resistance. Here, we studied the effect of ABCG2 on the activity of tozasertib and alisertib. RESULTS The tozasertib concentration that reduces cell viability by 50 % (IC50) was dramatically increased in ABCG2-transduced UKF-NB-3(ABCG2) cells (48.8-fold) compared to UKF-NB-3 cells and vector-transduced control cells. The ABCG2 inhibitor WK-X-34 reduced tozasertib IC50 to the level of non-ABCG2-expressing UKF-NB-3 cells. Furthermore, ABCG2 depletion from UKF-NB-3(ABCG2) cells using another lentiviral vector expressing an shRNA against the bicistronic mRNA of ABCG2 and eGFP largely re-sensitised these cells to tozasertib. In contrast, alisertib activity was not affected by ABCG2 expression. CONCLUSIONS Tozasertib but not alisertib activity is affected by ABCG2 expression. This should be considered within the design and analysis of experiments and clinical trials investigating these compounds

Points to consider in the development of seed stocks of pluripotent stem cells for clinical applications: International Stem Cell Banking Initiative (ISCBI)

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