Q-omics provides the consensus-scored CPP profile across patient tissues and cancer cell-line models. CPP expression is associated with patient survival in 19 of 34 cancer types, with the highest sampling consensus in KICH. Among the 18 cancer types available for tumor–normal comparison, CPP is differentially expressed in 10, with the highest sampling consensus in KIRC. Additionally, CPP RNA expression shows 11,657 significant gene co-expression associations, with the highest sampling consensus in DLBC. Together, these results highlight KICH, KIRC, and DLBC as cancer lineages where CPP shows reproducible signals across survival, tumor–normal expression, and patient cross-omics analyses.
Every result is evaluated using two consensus scores. Sampling consensus measures how consistently a finding is reproduced within a cancer lineage across different conditions. Lineage consensus measures how broadly the result is shared across cancer types, distinguishing pan-cancer signals from lineage-specific patterns.
Premium analyses for CPP — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes CPP survival associations across molecular data types. CPP RNA expression shows survival associations in the most cancer types (19). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible CPP RNA expression–survival associations across cancer types. High CPP expression shows unfavorable associations in KICH, LGG, ESCA and KIRP, but favorable associations in ACC and UCS. The KICH Kaplan–Meier curve shows clear separation, with the high-expression group declining faster, consistent with the unfavorable association (log-rank p = .001). Together, the overview and detailed table identify KICH as the clearest survival context for CPP RNA expression.
This table summarizes CPP tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 10. The strongest signals are observed in KIRC for RNA.
This table ranks reproducible tumor–normal expression differences for CPP. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. CPP shows lower tumor expression in COAD, KICH and THCA and higher tumor expression in KIRC, LUAD and UCEC. The KIRC box plot shows higher CPP RNA expression in tumor versus normal tissue (log2 FC = +1.417, t-test p < 0.001).
This table shows molecular features associated with CPP in patient tissues and cancer cell lines. In patient samples, CPP shows the broadest associations at the RNA and protein expression levels, with DLBC recurring as the lineage with the largest associated feature set.
