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Fig. 6 | BMC Cancer

Fig. 6

From: GRcalculator: an online tool for calculating and mining dose–response data

Fig. 6

grbrowser use-case with gCSI data. An example use-case of the grbrowser with the gCSI dataset, reproducing a result from Hafner et al. [3]. Steps show how to use the grbrowser to filter the dataset to breast cancer cell lines treated with lapatinib and compare the sensitivity of wild-type PTEN cell lines with that of mutant PTEN cell lines using GR 50 and IC 50 . In this case, use of the GR 50 produces a known result (p-value 0.0033), that PTEN loss-of-function mutations mediate resistance to lapatinib in breast cancer cells, which IC 50 fails to produce at a statistically significant level (p-value 0.12) because of large differences in growth rates between the wild-type and mutant cell lines. p-values were calculated using a two-sided Wilcoxon rank-sum test. IC 50 and GR 50 values were capped at 31 μM

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