peptidylprolyl isomerase A pseudogene 73Genealiases: []
Q-omics provides the consensus-scored PPIAP73 profile across patient tissues and cancer cell-line models. PPIAP73 expression is associated with patient survival in 21 of 34 cancer types, with the highest sampling consensus in CESC. Among the 18 cancer types available for tumor–normal comparison, PPIAP73 is differentially expressed in 10, with the highest sampling consensus in HNSC. Additionally, PPIAP73 RNA expression shows 8,151 significant gene co-expression associations, with the highest sampling consensus in ACC. Together, these results highlight CESC, HNSC, and ACC as cancer lineages where PPIAP73 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 PPIAP73 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes PPIAP73 survival associations across molecular data types. PPIAP73 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 PPIAP73 RNA expression–survival associations across cancer types. High PPIAP73 expression shows unfavorable associations in CESC, STAD, LIHC and CHOL, but favorable associations in MESO and SKCM. The CESC Kaplan–Meier curve shows clear separation, with the high-expression group declining faster, consistent with the unfavorable association (log-rank p = .005). Together, the overview and detailed table identify CESC as the clearest survival context for PPIAP73 RNA expression.
This table summarizes PPIAP73 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 HNSC for RNA.
This table ranks reproducible tumor–normal expression differences for PPIAP73. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. PPIAP73 shows higher tumor expression in HNSC, STAD, COAD, KIRC, KIRP and PAAD. The HNSC box plot shows higher PPIAP73 RNA expression in tumor versus normal tissue (log2 FC = +0.317, t-test p < 0.001).
This table shows molecular features associated with PPIAP73 in patient tissues and cancer cell lines. In patient samples, PPIAP73 shows the broadest associations at the RNA and protein expression levels, with ACC recurring as the lineage with the largest associated feature set.
