Q-omics provides the consensus-scored OTOG profile across patient tissues and cancer cell-line models. OTOG expression is associated with patient survival in 23 of 34 cancer types, with the highest sampling consensus in UCEC. Among the 18 cancer types available for tumor–normal comparison, OTOG is differentially expressed in 12, with the highest sampling consensus in KIRC. Additionally, OTOG RNA expression shows 14,116 significant gene co-expression associations, with the highest sampling consensus in TGCT. Together, these results highlight UCEC, KIRC, and TGCT as cancer lineages where OTOG 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 OTOG — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes OTOG survival associations across molecular data types. OTOG 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 OTOG RNA expression–survival associations across cancer types. High OTOG expression shows unfavorable associations in UCEC, KICH, ACC, LIHC and BRCA, but favorable associations in LGG. The UCEC 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 UCEC as the clearest survival context for OTOG RNA expression.
This table summarizes OTOG tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 12. The strongest signals are observed in KIRC for RNA.
This table ranks reproducible tumor–normal expression differences for OTOG. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. OTOG shows lower tumor expression in KICH and THCA and higher tumor expression in KIRC, LUSC, LIHC and CHOL. The KIRC box plot shows higher OTOG RNA expression in tumor versus normal tissue (log2 FC = +0.156, t-test p < 0.001).
This table shows molecular features associated with OTOG in patient tissues and cancer cell lines. In patient samples, OTOG 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, OTOG RNA and mutation anchors are most strongly linked to RNA-expression features, especially in KIDNEY, while CRISPR and shRNA rows add functional-dependency signals in BLOOD_Leukemia and LARGE_INTESTINE.
