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. Author manuscript; available in PMC: 2017 Oct 1.
Published in final edited form as: Clin Cancer Res. 2016 Jun 28;22(19):4880–4889. doi: 10.1158/1078-0432.CCR-15-2900

Figure 4.

Figure 4

The Tumor-Nonmalignant signature is validated on the TCGA dataset, which consists of 979 lung tumors and 108 non-malignant lung tissues. The prediction accuracies are 98% for tumors and 100% for non-malignant lung (overall: 98%, Table 1). Many tumor samples have negative scores which could be due to larger stromal infiltration. A score plot for the MDACC dataset, which has tumor samples only, shows an accuracy of 92% (Table 1).