Fig. 2: The WID™-qtBC index distinguishes breast cancer cases and controls in cervical and breast samples. | npj Precision Oncology

Fig. 2: The WID™-qtBC index distinguishes breast cancer cases and controls in cervical and breast samples.

From: DNA methylation at quantitative trait loci (mQTLs) varies with cell type and nonheritable factors and may improve breast cancer risk assessment

Fig. 2

a Outline of classifier development and validation strategy. b The WID™-qtBC index is increased in cervical samples from current breast cancer cases compared to controls in the validation set (p = 1.2e-07 in two-tailed Student’s t-test). c The WID™-qtBC has an AUC of 0.71 and is unaffected by estrogen receptor (ER) status. d Permutation analysis of index training featuring randomly selected CpGs indicates that the WID™-qtBC AUC in the validation set is higher than expected by chance. Shaded area indicates 95% confidence interval from permutation testing. e The WID™-qtBC index is increased in normal tissue adjacent to breast cancer compared to normal breast tissue. f ROC curve for discrimination of normal to normal-adjacent tissue based on the WID™-qtBC index. Boxplot boxes indicate median (centre line), interquartile range (bounds of box), and 95% confidence interval (whiskers). AUC area under the receiver operating characteristic curve, ER- estrogen receptor negative breast cancer, ER+ estrogen receptor positive breast cancer.

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