Q-omics provides the consensus-scored PPIAP13 profile across patient tissues and cancer cell-line models. PPIAP13 expression is associated with patient survival in 19 of 34 cancer types, with the highest sampling consensus in CESC. Among the 18 cancer types available for tumor–normal comparison, PPIAP13 is differentially expressed in 11, with the highest sampling consensus in LUAD. Additionally, PPIAP13 RNA expression shows 10,900 significant gene co-expression associations, with the highest sampling consensus in ACC. Together, these results highlight CESC, LUAD, and ACC as cancer lineages where PPIAP13 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 PPIAP13 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes PPIAP13 survival associations across molecular data types. PPIAP13 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 PPIAP13 RNA expression–survival associations across cancer types. High PPIAP13 expression shows unfavorable associations in KICH, UVM, STAD, ACC and LGG, but favorable associations in CESC. The CESC Kaplan–Meier curve shows clear separation, with the low-expression group declining faster, consistent with the favorable association (log-rank p = .001). Together, the overview and detailed table identify CESC as the clearest survival context for PPIAP13 RNA expression.
This table summarizes PPIAP13 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 11. The strongest signals are observed in LUAD for RNA.
This table ranks reproducible tumor–normal expression differences for PPIAP13. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. PPIAP13 shows higher tumor expression in LUAD, COAD, READ, CHOL, BLCA and LIHC. The LUAD box plot shows higher PPIAP13 RNA expression in tumor versus normal tissue (log2 FC = +0.289, t-test p < 0.001).
This table shows molecular features associated with PPIAP13 in patient tissues and cancer cell lines. In patient samples, PPIAP13 shows the broadest associations at the RNA and protein expression levels, with ACC recurring as the lineage with the largest associated feature set.
