Q-omics provides the consensus-scored PPIAP10 profile across patient tissues and cancer cell-line models. PPIAP10 expression is associated with patient survival in 17 of 34 cancer types, with the highest sampling consensus in ACC. Among the 18 cancer types available for tumor–normal comparison, PPIAP10 is differentially expressed in 9, with the highest sampling consensus in LIHC. Additionally, PPIAP10 RNA expression shows 11,474 significant protein co-abundance associations, with the highest sampling consensus in HNSC. Together, these results highlight ACC, LIHC, and HNSC as cancer lineages where PPIAP10 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 PPIAP10 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes PPIAP10 survival associations across molecular data types. PPIAP10 RNA expression shows survival associations in the most cancer types (17). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible PPIAP10 RNA expression–survival associations across cancer types. High PPIAP10 expression shows unfavorable associations in ACC, KICH, LIHC, KIRC, LUSC and PAAD. 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 PPIAP10 RNA expression.
This table summarizes PPIAP10 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 9. The strongest signals are observed in LIHC for RNA.
This table ranks reproducible tumor–normal expression differences for PPIAP10. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. PPIAP10 shows lower tumor expression in THCA and higher tumor expression in LIHC, CHOL, PRAD, COAD and STAD. The LIHC box plot shows higher PPIAP10 RNA expression in tumor versus normal tissue (log2 FC = +0.039, t-test p = .011).
This table shows molecular features associated with PPIAP10 in patient tissues and cancer cell lines. In patient samples, PPIAP10 shows the broadest associations at the RNA and protein expression levels, with HNSC recurring as the lineage with the largest associated feature set.
