Q-omics provides the consensus-scored OOEP profile across patient tissues and cancer cell-line models. OOEP 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, OOEP is differentially expressed in 7, with the highest sampling consensus in KICH. Additionally, OOEP RNA expression shows 8,720 significant gene co-expression associations, with the highest sampling consensus in TGCT. Together, these results highlight ACC, KICH, and TGCT as cancer lineages where OOEP 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 OOEP — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes OOEP survival associations across molecular data types. OOEP RNA expression shows survival associations in the most cancer types (23), followed by mutation status (5). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible OOEP RNA expression–survival associations across cancer types. High OOEP expression shows unfavorable associations in ACC and LGG, but favorable associations in HNSC, SCLC, STAD and COAD. 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 OOEP RNA expression.
This table summarizes OOEP tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 7. The strongest signals are observed in KICH for RNA.
This table ranks reproducible tumor–normal expression differences for OOEP. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. OOEP shows lower tumor expression in KICH, BRCA, THCA and HNSC and higher tumor expression in COAD and HNSC. The KICH box plot shows higher OOEP RNA expression in normal versus tumor tissue (log2 FC = −0.627, t-test p < 0.001).
This table shows molecular features associated with OOEP in patient tissues and cancer cell lines. In patient samples, OOEP shows the broadest associations at the RNA and protein expression levels, with TGCT recurring as the lineage with the largest associated feature set. In cancer cell lines, OOEP 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 LARGE_INTESTINE and SOFT_TISSUE.
