British Journal of Cancer

FIGURES AND TABLES

FROM:

Relationship of imatinib-free plasma levels and target genotype with efficacy and tolerability

N Widmer, L A Decosterd, S Leyvraz, M A Duchosal, A Rosselet, M Debiec-Rychter, C Csajka, J Biollaz and T Buclin

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Figure 1 - Unfortunately we are unable to provide accessible alternative text for this. If you require assistance to access this image, please contact help@nature.com or the author

Figure 1.

Relationship between free drug exposure (AUCu) and toxicity in CML (upper part) and GIST patients (lower part). Left panel: scatter plot of AUCu according to side effects score (0=no side effects, 1=1 side effect, 2=2 side effects and 3=3 or more side effects). Right panel: probability of side effects according to the per-sample PK–PD analyses. The histograms represent the percentages observed for the three types of response at three typical AUCu range values (side effects score: white box=0; light grey box=1; grey box=2; dark grey box=3). The curves, modelled by a four-level ordered logistic regression, show the probability of side effects according to AUCu.

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Figure 2 - Unfortunately we are unable to provide accessible alternative text for this. If you require assistance to access this image, please contact help@nature.com or the author

Figure 2.

Relationship between free drug exposure (AUCu) and response in GIST patients. Upper part: exon 11 KIT genotype; lower part: exon 9 or wt KIT genotype. Left panel: scatter plot of AUCu according to RECIST score; white box=PD+SD (score 0; n=23 for exon 9/wt, 46 for exon 11); grey box=OR, OR=CR+PR (score 1; n=10 for exon 9/wt, 32 for exon 11). Right panel: probability of response according to the per-sample PK–PD analysis for both main genotypes of GIST patients. The histograms represent the percentages observed for the two types of response at three typical AUCu range values. The curve, modelled by a two-level ordered logistic regression, shows the probability of response according to AUCu.

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Table 1 - Patient demographics of the 58 patients evaluated in this concentration-effect analysis (providing 280 plasma samples) - Unfortunately we are unable to provide accessible alternative text for this. If you require assistance to access this image, please contact help@nature.com or the author

Table 1 - Patient demographics of the 58 patients evaluated in this concentration–effect analysis (providing 280 plasma samples).

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Table 2 - Results of the per-sample multivariate logistic regression analysis related to total and free drug exposure - Unfortunately we are unable to provide accessible alternative text for this. If you require assistance to access this image, please contact help@nature.com or the author

Table 2 - Results of the per-sample multivariate logistic regression analysis related to total and free drug exposure.

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