Q-omics provides the consensus-scored OTP profile across patient tissues and cancer cell-line models. OTP expression is associated with patient survival in 22 of 34 cancer types, with the highest sampling consensus in KIRC. Among the 18 cancer types available for tumor–normal comparison, OTP is differentially expressed in 8, with the highest sampling consensus in KIRC. Additionally, OTP RNA expression shows 7,984 significant gene co-expression associations, with the highest sampling consensus in LIHC. Together, these results highlight KIRC, and LIHC as cancer lineages where OTP 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 OTP — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes OTP survival associations across molecular data types. OTP RNA expression shows survival associations in the most cancer types (22), followed by mutation status (4). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible OTP RNA expression–survival associations across cancer types. High OTP expression shows unfavorable associations in KIRC, ACC, LGG, KICH and UCS, but favorable associations in SKCM. The KIRC 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 KIRC as the clearest survival context for OTP RNA expression.
This table summarizes OTP tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 8. The strongest signals are observed in KIRC for RNA.
This table ranks reproducible tumor–normal expression differences for OTP. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. OTP shows higher tumor expression in KIRC, HNSC, LUSC, BRCA, STAD and PRAD. The KIRC box plot shows higher OTP RNA expression in tumor versus normal tissue (log2 FC = +0.025, t-test p < 0.001).
This table shows molecular features associated with OTP in patient tissues and cancer cell lines. In patient samples, OTP shows the broadest associations at the RNA and protein expression levels, with LIHC recurring as the lineage with the largest associated feature set. In cancer cell lines, OTP RNA and mutation anchors are most strongly linked to RNA-expression features, especially in PANCREAS, while CRISPR and shRNA rows add functional-dependency signals in SOFT_TISSUE and LUNG_SCLC.
