Q-omics provides the consensus-scored PPIAP9 profile across patient tissues and cancer cell-line models. PPIAP9 expression is associated with patient survival in 21 of 34 cancer types, with the highest sampling consensus in UVM. Among the 18 cancer types available for tumor–normal comparison, PPIAP9 is differentially expressed in 8, with the highest sampling consensus in COAD. Additionally, PPIAP9 RNA expression shows 10,479 significant gene co-expression associations, with the highest sampling consensus in ACC. Together, these results highlight UVM, COAD, and ACC as cancer lineages where PPIAP9 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 PPIAP9 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes PPIAP9 survival associations across molecular data types. PPIAP9 RNA expression shows survival associations in the most cancer types (21). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible PPIAP9 RNA expression–survival associations across cancer types. High PPIAP9 expression shows unfavorable associations in UVM, STAD, LGG and LIHC, but favorable associations in READ and THCA. The UVM Kaplan–Meier curve shows clear separation, with the high-expression group declining faster, consistent with the unfavorable association (log-rank p < 0.001). Together, the overview and detailed table identify UVM as the clearest survival context for PPIAP9 RNA expression.
This table summarizes PPIAP9 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 8. The strongest signals are observed in COAD for RNA.
This table ranks reproducible tumor–normal expression differences for PPIAP9. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. PPIAP9 shows higher tumor expression in COAD, LIHC, BRCA, LUAD, HNSC and KIRP. The COAD box plot shows higher PPIAP9 RNA expression in tumor versus normal tissue (log2 FC = +0.574, t-test p < 0.001).
This table shows molecular features associated with PPIAP9 in patient tissues and cancer cell lines. In patient samples, PPIAP9 shows the broadest associations at the RNA and protein expression levels, with ACC recurring as the lineage with the largest associated feature set.
