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. 2022 Aug 29;31(11):2020–2029. doi: 10.1158/1055-9965.EPI-22-0689

Figure 4.

Figure 4. Development of a RT-qPCR based lung cancer-related immune-score (ISC) for the analysis of PBMC samples. A, Heatmap reporting the correlations (Pearson R) between the gene expression values measured by RT-qPCR of 14 genes representative and the values of the 4 immune subset (T CD8+ PD-1+, I-Mo, M-MDSC, and PMN-MDSC) evaluated by flow cytometry on PBMC samples of the validation set. Genes are highlighted with the same color/s of the represented immune subset/s. ROC curves and respective AUCs evaluating the discriminatory capacity of the RT-qPCR based ISC considering the whole series (B) as well as the subsets composed by MSC-positive (C) and MSC-negative (D) subjects.

Development of a RT-qPCR based lung cancer-related immune-score (ISC) for the analysis of PBMC samples. A, Heatmap reporting the correlations (Pearson R) between the gene expression values measured by RT-qPCR of 14 genes representative and the values of the 4 immune subset (T CD8+ PD-1+, I-Mo, M-MDSC, and PMN-MDSC) evaluated by flow cytometry on PBMC samples of the validation set. Genes are highlighted with the same color/s of the represented immune subset/s. ROC curves and respective AUCs evaluating the discriminatory capacity of the RT-qPCR based ISC considering the whole series (B) as well as the subsets composed by MSC-positive (C) and MSC-negative (D) subjects.