Q-omics provides the consensus-scored PPOX profile across patient tissues and cancer cell-line models. PPOX expression is associated with patient survival in 23 of 34 cancer types, with the highest sampling consensus in ACC. Among the 18 cancer types available for tumor–normal comparison, PPOX is differentially expressed in 9, with the highest sampling consensus in KIRC. Additionally, PPOX RNA expression shows 19,765 significant gene co-expression associations, with the highest sampling consensus in ACC. Together, these results highlight ACC, and KIRC as cancer lineages where PPOX 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 PPOX — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes PPOX survival associations across molecular data types. PPOX RNA expression shows survival associations in the most cancer types (23), followed by mutation status (4) and mass-spec protein abundance (7). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible PPOX RNA expression–survival associations across cancer types. High PPOX expression shows unfavorable associations in ACC, LIHC, KIRC and LGG, but favorable associations in LUAD 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 PPOX RNA expression.
This table summarizes PPOX tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 9, while mass-spec protein shows differences in 5. The strongest signals are observed in KIRC for RNA and CCRCC for protein.
This table ranks reproducible tumor–normal expression differences for PPOX. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. PPOX shows lower tumor expression in KICH and higher tumor expression in KIRC, COAD, BLCA, LIHC and KIRP. The KIRC box plot shows higher PPOX RNA expression in tumor versus normal tissue (log2 FC = +0.463, t-test p < 0.001).
This table shows molecular features associated with PPOX in patient tissues and cancer cell lines. In patient samples, PPOX shows the broadest associations at the RNA and protein expression levels, with ACC recurring as the lineage with the largest associated feature set. In cancer cell lines, PPOX RNA and mutation anchors are most strongly linked to RNA-expression features, especially in UPPER_AERODIGESTIVE_TRACT, while CRISPR and shRNA rows add functional-dependency signals in BONE and LARGE_INTESTINE.
