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Q-omics provides the consensus-scored PPIAP4 profile across patient tissues and cancer cell-line models. PPIAP4 expression is associated with patient survival in 18 of 34 cancer types, with the highest sampling consensus in BLCA. Among the 18 cancer types available for tumor–normal comparison, PPIAP4 is differentially expressed in 10, with the highest sampling consensus in KIRC. Additionally, PPIAP4 RNA expression shows 15,577 significant gene co-expression associations, with the highest sampling consensus in UVM. Together, these results highlight BLCA, KIRC, and UVM as cancer lineages where PPIAP4 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 PPIAP4 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes PPIAP4 survival associations across molecular data types. PPIAP4 RNA expression shows survival associations in the most cancer types (18). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible PPIAP4 RNA expression–survival associations across cancer types. High PPIAP4 expression shows unfavorable associations in ACC and KIRC, but favorable associations in BLCA, KIRP, OV and READ. The BLCA Kaplan–Meier curve shows clear separation, with the low-expression group declining faster, consistent with the favorable association (log-rank p = .001). Together, the overview and detailed table identify BLCA as the clearest survival context for PPIAP4 RNA expression.
This table summarizes PPIAP4 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 PPIAP4. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. PPIAP4 shows lower tumor expression in KIRC, UCEC, KICH, BRCA and BLCA and higher tumor expression in LUAD. The KIRC box plot shows higher PPIAP4 RNA expression in normal versus tumor tissue (log2 FC = −0.451, t-test p < 0.001).
This table shows molecular features associated with PPIAP4 in patient tissues and cancer cell lines. In patient samples, PPIAP4 shows the broadest associations at the RNA and protein expression levels, with UVM recurring as the lineage with the largest associated feature set.
