Q-omics provides the consensus-scored PPIAP2 profile across patient tissues and cancer cell-line models. PPIAP2 expression is associated with patient survival in 25 of 34 cancer types, with the highest sampling consensus in ACC. Among the 18 cancer types available for tumor–normal comparison, PPIAP2 is differentially expressed in 10, with the highest sampling consensus in LUAD. Additionally, PPIAP2 RNA expression shows 16,240 significant gene co-expression associations, with the highest sampling consensus in ACC. Together, these results highlight ACC, and LUAD as cancer lineages where PPIAP2 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 PPIAP2 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes PPIAP2 survival associations across molecular data types. PPIAP2 RNA expression shows survival associations in the most cancer types (25). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible PPIAP2 RNA expression–survival associations across cancer types. High PPIAP2 expression shows unfavorable associations in ACC, BRCA, UCEC, STAD and SARC, but favorable associations in CESC. The ACC 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 ACC as the clearest survival context for PPIAP2 RNA expression.
This table summarizes PPIAP2 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 LUAD for RNA.
This table ranks reproducible tumor–normal expression differences for PPIAP2. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. PPIAP2 shows higher tumor expression in LUAD, BLCA, LUSC, KIRP, BRCA and READ. The LUAD box plot shows higher PPIAP2 RNA expression in tumor versus normal tissue (log2 FC = +0.534, t-test p < 0.001).
This table shows molecular features associated with PPIAP2 in patient tissues and cancer cell lines. In patient samples, PPIAP2 shows the broadest associations at the RNA and protein expression levels, with ACC recurring as the lineage with the largest associated feature set.
