Q-omics provides the consensus-scored ODAPH profile across patient tissues and cancer cell-line models. ODAPH expression is associated with patient survival in 23 of 34 cancer types, with the highest sampling consensus in THCA. Among the 18 cancer types available for tumor–normal comparison, ODAPH is differentially expressed in 9, with the highest sampling consensus in HNSC. Additionally, ODAPH RNA expression shows 10,349 significant gene co-expression associations, with the highest sampling consensus in UVM. Together, these results highlight THCA, HNSC, and UVM as cancer lineages where ODAPH 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 ODAPH — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes ODAPH survival associations across molecular data types. ODAPH RNA expression shows survival associations in the most cancer types (23), followed by mutation status (2). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible ODAPH RNA expression–survival associations across cancer types. High ODAPH expression shows unfavorable associations in THCA, KIRC, KICH, MESO and BLCA, but favorable associations in SKCM. 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 ODAPH RNA expression.
This table summarizes ODAPH 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 HNSC for RNA.
This table ranks reproducible tumor–normal expression differences for ODAPH. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. ODAPH shows higher tumor expression in HNSC, BLCA, LUAD, LUSC, BRCA and PAAD. The HNSC box plot shows higher ODAPH RNA expression in tumor versus normal tissue (log2 FC = +0.849, t-test p < 0.001).
This table shows molecular features associated with ODAPH in patient tissues and cancer cell lines. In patient samples, ODAPH shows the broadest associations at the RNA and protein expression levels, with UVM recurring as the lineage with the largest associated feature set. In cancer cell lines, ODAPH RNA and mutation anchors are most strongly linked to RNA-expression features, especially in LUNG_NSCLC_LUSC, while CRISPR and shRNA rows add functional-dependency signals in PANCREAS and LARGE_INTESTINE.
