Q-omics provides the consensus-scored APOOP4 profile across patient tissues and cancer cell-line models. APOOP4 expression is associated with patient survival in 8 of 34 cancer types, with the highest sampling consensus in OV. Among the 18 cancer types available for tumor–normal comparison, APOOP4 is differentially expressed in 4, with the highest sampling consensus in LUSC. Additionally, APOOP4 RNA expression shows 5,907 significant pathway-activity associations, with the highest sampling consensus in STAD. Together, these results highlight OV, LUSC, and STAD as cancer lineages where APOOP4 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 APOOP4 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes APOOP4 survival associations across molecular data types. APOOP4 RNA expression shows survival associations in the most cancer types (8). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible APOOP4 RNA expression–survival associations across cancer types. High APOOP4 expression shows unfavorable associations in OV, LIHC, LUAD, LUSC, BLCA and READ. The OV Kaplan–Meier curve shows clear separation, with the high-expression group declining faster, consistent with the unfavorable association (log-rank p = .002). Together, the overview and detailed table identify OV as the clearest survival context for APOOP4 RNA expression.
This table summarizes APOOP4 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 4. The strongest signals are observed in LUSC for RNA.
This table ranks reproducible tumor–normal expression differences for APOOP4. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. APOOP4 shows lower tumor expression in KICH and KIRC and higher tumor expression in LUSC and COAD. The LUSC box plot shows higher APOOP4 RNA expression in tumor versus normal tissue (log2 FC = +0.060, t-test p = .001).
This table shows molecular features associated with APOOP4 in patient tissues and cancer cell lines. In patient samples, APOOP4 shows the broadest associations at the RNA and protein expression levels, with STAD recurring as the lineage with the largest associated feature set.
