Mapping of global proteomics results from CB vs. NCB groups to protein networks and pathways. A, Network analysis via String-DB plot of high-confidence protein–protein interactions among proteins that are significantly different between CB and NCB group. Edges represent lines of evidence of protein–protein interactions. Line colors indicate different evidence types: known interactions from curated databases (teal) or published experiments (pink), predicted interactions based on gene location (green), fusion (red), or co-occurrence (blue), or observed co-expression (black), protein homology (purple), or textmining relationships (lime). Major clusters are labeled according to shared features within the cluster. Nodes are overlaid from the Cytoscape visualization, with fold-change shown by color. Node size increases as the P-value decreases. B, Top 20 canonical pathways that are significantly differentially activated between clinical benefit (CB) and no clinical benefit (NCB) groups, based on assessment with Fisher’s exact test in Qiagen IPA. The height of the bar corresponds to the confidence of an association, with a threshold of P < 0.01. IPA’s Z-score indicates the direction of regulation and extreme z-scores are depicted with increased color intensity. Orange bars represent increased activation in the NCB group whereas blue bars represent upregulated activity in the CB group. White bars indicate pathways with fewer than four mapped proteins or z-scores close to zero, indicating that the direction of regulation of individual pathway members does not strongly match a prespecified pattern. Gray bars indicate pathways for which no prediction can be made due to available evidence in the database.
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Sobsey et al. (2024) studied this question.
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