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. 2022 Aug 23;13:4953. doi: 10.1038/s41467-022-32598-1

Fig. 6. Cancer detection across cancer types.

Fig. 6

Receiver Operating Characteristic (ROC) curve for sample classification from the DELFI cohort, which included 199 individuals with cancer and 206 healthy individuals. A random forest model using ten-fold nested cross-validation with 500 iterations was used to classify samples as either healthy or cancer. This cohort consisted of stage I–IV NSCLC (n = 27); stage I–III breast cancer (n = 48); stage I–IV CRC (n = 27); stages I–IV, 0 and X gastric cancer (n = 27); stage I–IV ovarian cancer (n = 26); and stage I–III pancreatic cancer (n = 34). All ROC curves from 500 iterations are shown. Classification performance by individual cancer type and stage is shown in Supplementary Fig. 15. Source data are provided as a Source data file. AUC area under the curve; CI confidence interval; CV cross validation.