Early Detection Research Network


This study aimed to develop a serum test that could be used to discern NSCLC patients from cancer-free controls and may provide a means to indicate who should have spiral CT done. A large number of potential tumor autoantibodies for NSCLC were identified and validated. The six-analyte blood test that resulted from this study (consisting of IMPDH, phosphoglycerate mutase, ubiquilin, Annexin I, Annexin II, and HSP70-9B) possessed excellent test performance characteristics when tested against our 196 patient cohort that was composed of four clinically distinct groups, with only 13 patients misclassified overall.
A CART analysis fashioned from these six analytes was used to define a specific algorithm for classifying patients according to NSCLC disease status. This algorithm provided excellent ROC parameters for the overall study, including an AUC of 0.964, a sensitivity of 94.8%, and a specificity of 91.1%. The overall misclassification rate was 7% against the entire patient population (n = 196). The general agreement of the results yielded by the two multivariate algorithms (i.e., random forest and CART) serves as an ad hoc “internal confirmation” for the specific six analytes selected by each method and generates confidence in our methods.

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