Q-omics provides the consensus-scored APOOP1 profile across patient tissues and cancer cell-line models. APOOP1 expression is associated with patient survival in 14 of 34 cancer types, with the highest sampling consensus in DLBC. Among the 18 cancer types available for tumor–normal comparison, APOOP1 is differentially expressed in 4, with the highest sampling consensus in KIRC. Additionally, APOOP1 RNA expression shows 7,118 significant gene co-expression associations, with the highest sampling consensus in KIRP. Together, these results highlight DLBC, KIRC, and KIRP as cancer lineages where APOOP1 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 APOOP1 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes APOOP1 survival associations across molecular data types. APOOP1 RNA expression shows survival associations in the most cancer types (14). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible APOOP1 RNA expression–survival associations across cancer types. High APOOP1 expression shows unfavorable associations in DLBC, BLCA, STAD, LIHC, ACC and THYM. The DLBC 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 DLBC as the clearest survival context for APOOP1 RNA expression.
This table summarizes APOOP1 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 KIRC for RNA.
This table ranks reproducible tumor–normal expression differences for APOOP1. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. APOOP1 shows lower tumor expression in LIHC and higher tumor expression in KIRC, KICH and KIRP. The KIRC box plot shows higher APOOP1 RNA expression in tumor versus normal tissue (log2 FC = +0.127, t-test p < 0.001).
This table shows molecular features associated with APOOP1 in patient tissues and cancer cell lines. In patient samples, APOOP1 shows the broadest associations at the RNA and protein expression levels, with KIRP recurring as the lineage with the largest associated feature set.
