peptidylprolyl isomerase A pseudogene 45Genealiases: []
Q-omics provides the consensus-scored PPIAP45 profile across patient tissues and cancer cell-line models. PPIAP45 expression is associated with patient survival in 19 of 34 cancer types, with the highest sampling consensus in SKCM. Among the 18 cancer types available for tumor–normal comparison, PPIAP45 is differentially expressed in 12, with the highest sampling consensus in HNSC. Additionally, PPIAP45 RNA expression shows 10,336 significant gene co-expression associations, with the highest sampling consensus in UVM. Together, these results highlight SKCM, HNSC, and UVM as cancer lineages where PPIAP45 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 PPIAP45 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes PPIAP45 survival associations across molecular data types. PPIAP45 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 PPIAP45 RNA expression–survival associations across cancer types. High PPIAP45 expression shows unfavorable associations in MESO, ACC and KIRP, but favorable associations in SKCM, BLCA and READ. The SKCM Kaplan–Meier curve shows clear separation, with the low-expression group declining faster, consistent with the favorable association (log-rank p < 0.001). Together, the overview and detailed table identify SKCM as the clearest survival context for PPIAP45 RNA expression.
This table summarizes PPIAP45 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 12. The strongest signals are observed in HNSC for RNA.
This table ranks reproducible tumor–normal expression differences for PPIAP45. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. PPIAP45 shows higher tumor expression in HNSC, BLCA, LUAD, KIRC, STAD and LUSC. The HNSC box plot shows higher PPIAP45 RNA expression in tumor versus normal tissue (log2 FC = +1.104, t-test p < 0.001).
This table shows molecular features associated with PPIAP45 in patient tissues and cancer cell lines. In patient samples, PPIAP45 shows the broadest associations at the RNA and protein expression levels, with UVM recurring as the lineage with the largest associated feature set.
