Figure 2 from Identification of a Two-Gene Biomarker Correlated with Sensitivity to Combined PARP7 Inhibition and AHR Activation in Cancer Cells
Abstract
The two-gene biomarker predicts PARP7i and AHRa response in additional cancer cell lines. A, Scatter plot showing biomarker scores of synergistic and nonsynergistic cell lines in the validation set. Biomarker scores were calculated as the average mRNA expression of CCL22 and TNFSF10. A dashed line indicates the cutoff used to distinguish between synergistic and nonsynergistic groups. A Student t test was used to calculate statistical significance. B, ROC curve showing the performance of the two-gene classifier in distinguishing synergistic responses to PARP7i and AHRa in the validation set of cell lines. The dashed diagonal line represents the performance of a random classifier using the 4.638 cutoff determined in the training set (Fig. 1C and D). AUC, sensitivity, and specificity are indicated. C, Bar plots of the biomarker scores in each of the 27 synergistic cell lines and the 10 nonsynergistic cell lines in the training and validation sets. A horizontal dotted line marks the optimized cutoff of 4.638. Bottom, heatmaps display the relative mRNA expression of each of the two genes comprising the transcriptional biomarker. The scale bar shows the row Z-score of mRNA levels for each gene. Tissue of origin for each cell line is also indicated.
Fields of Study & Subjects
PARP inhibition in cancer therapy
Machine Learning in Bioinformatics
Ferroptosis and cancer prognosis
Publication details
- Publication date
- 2 January 2026