peptidylprolyl isomerase A pseudogene 88Genealiases: []
Q-omics provides the consensus-scored PPIAP88 profile across patient tissues and cancer cell-line models. PPIAP88 expression is associated with patient survival in 15 of 34 cancer types, with the highest sampling consensus in ACC. Among the 18 cancer types available for tumor–normal comparison, PPIAP88 is differentially expressed in 1, with the highest sampling consensus in LUAD. Additionally, PPIAP88 RNA expression shows 7,263 significant gene co-expression associations, with the highest sampling consensus in TGCT. Together, these results highlight ACC, LUAD, and TGCT as cancer lineages where PPIAP88 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 PPIAP88 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes PPIAP88 survival associations across molecular data types. PPIAP88 RNA expression shows survival associations in the most cancer types (15). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible PPIAP88 RNA expression–survival associations across cancer types. High PPIAP88 expression shows unfavorable associations in ACC, UVM, UCS and LIHC, but favorable associations in COAD and 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 PPIAP88 RNA expression.
This table summarizes PPIAP88 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 1. The strongest signals are observed in LUAD for RNA.
This table ranks reproducible tumor–normal expression differences for PPIAP88. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. PPIAP88 shows higher tumor expression in LUAD. The LUAD box plot shows higher PPIAP88 RNA expression in tumor versus normal tissue (log2 FC = +0.123, t-test p = .015).
This table shows molecular features associated with PPIAP88 in patient tissues and cancer cell lines. In patient samples, PPIAP88 shows the broadest associations at the RNA and protein expression levels, with TGCT recurring as the lineage with the largest associated feature set.
