peptidylprolyl isomerase A pseudogene 20Genealiases: []
Q-omics provides the consensus-scored PPIAP20 profile across patient tissues and cancer cell-line models. PPIAP20 expression is associated with patient survival in 16 of 34 cancer types, with the highest sampling consensus in UVM. Among the 18 cancer types available for tumor–normal comparison, PPIAP20 is differentially expressed in 7, with the highest sampling consensus in HNSC. Additionally, PPIAP20 RNA expression shows 11,002 significant gene co-expression associations, with the highest sampling consensus in TGCT. Together, these results highlight UVM, HNSC, and TGCT as cancer lineages where PPIAP20 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 PPIAP20 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes PPIAP20 survival associations across molecular data types. PPIAP20 RNA expression shows survival associations in the most cancer types (16). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible PPIAP20 RNA expression–survival associations across cancer types. High PPIAP20 expression shows unfavorable associations in UVM, MESO, LIHC, DLBC and KIRC, but favorable associations in READ. 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 PPIAP20 RNA expression.
This table summarizes PPIAP20 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 7. The strongest signals are observed in HNSC for RNA.
This table ranks reproducible tumor–normal expression differences for PPIAP20. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. PPIAP20 shows lower tumor expression in THCA and higher tumor expression in HNSC, COAD, STAD, CHOL and KICH. The HNSC box plot shows higher PPIAP20 RNA expression in tumor versus normal tissue (log2 FC = +0.228, t-test p = .012).
This table shows molecular features associated with PPIAP20 in patient tissues and cancer cell lines. In patient samples, PPIAP20 shows the broadest associations at the RNA and protein expression levels, with TGCT recurring as the lineage with the largest associated feature set.
