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Statistical Analysis of EN2 Expression in Cancer vs. Non-Cancer Samples

This study presents a comprehensive statistical analysis of EN2 expression across cancerous and non-cancerous samples. The results indicate significant differences, with p-values of 0.0081, 0.0004, and <0.0001 observed, highlighting the potential of EN2 as a biomarker. The area under the curve (AUC) for the predictive model was 0.844 for cancer versus all and improved to 0.908 when differentiating between normal and cancerous samples. These findings could guide future research in cancer diagnostics and treatment strategies.

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Statistical Analysis of EN2 Expression in Cancer vs. Non-Cancer Samples

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  1. Figure 4 a b C C N p=0.0081 p=0.0004 p=.0457 p<0.0001 EN2 p<0.0001 p<0.0001 55 28 27 466 251 113 102 111 140 215 n c All Ca v all non-Ca normal only AUC 0.844 AUC 0.908

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