Q-omics provides the consensus-scored APOOP2 profile across patient tissues and cancer cell-line models. APOOP2 expression is associated with patient survival in 13 of 34 cancer types, with the highest sampling consensus in THCA. Among the 18 cancer types available for tumor–normal comparison, APOOP2 is differentially expressed in 3, with the highest sampling consensus in BLCA. Additionally, APOOP2 RNA expression shows 3,656 significant gene co-expression associations, with the highest sampling consensus in BLCA. Together, these results highlight THCA, and BLCA as cancer lineages where APOOP2 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 APOOP2 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes APOOP2 survival associations across molecular data types. APOOP2 RNA expression shows survival associations in the most cancer types (13). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible APOOP2 RNA expression–survival associations across cancer types. High APOOP2 expression shows unfavorable associations in THCA, KIRC, COAD, UCEC, READ and LIHC. The THCA 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 THCA as the clearest survival context for APOOP2 RNA expression.
This table summarizes APOOP2 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 3. The strongest signals are observed in BLCA for RNA.
This table ranks reproducible tumor–normal expression differences for APOOP2. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. APOOP2 shows lower tumor expression in LUAD and higher tumor expression in BLCA and BRCA. The BLCA box plot shows higher APOOP2 RNA expression in tumor versus normal tissue (log2 FC = +1.376, t-test p = .010).
This table shows molecular features associated with APOOP2 in patient tissues and cancer cell lines. In patient samples, APOOP2 shows the broadest associations at the RNA and protein expression levels, with BLCA recurring as the lineage with the largest associated feature set.
