Q-omics provides the consensus-scored OAT profile across patient tissues and cancer cell-line models. OAT expression is associated with patient survival in 23 of 34 cancer types, with the highest sampling consensus in UVM. Among the 18 cancer types available for tumor–normal comparison, OAT is differentially expressed in 12, with the highest sampling consensus in KIRC. Additionally, OAT RNA expression shows 18,212 significant gene co-expression associations, with the highest sampling consensus in UVM. Together, these results highlight UVM, and KIRC as cancer lineages where OAT 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 OAT — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes OAT survival associations across molecular data types. OAT RNA expression shows survival associations in the most cancer types (23), followed by mutation status (6) and mass-spec protein abundance (7). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible OAT RNA expression–survival associations across cancer types. High OAT expression shows unfavorable associations in UVM, UCEC, UCS and BLCA, but favorable associations in LGG and KIRC. The UVM 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 UVM as the clearest survival context for OAT RNA expression.
This table summarizes OAT tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 12, while mass-spec protein shows differences in 6. The strongest signals are observed in KIRC for RNA and CCRCC for protein.
This table ranks reproducible tumor–normal expression differences for OAT. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. OAT shows lower tumor expression in KIRC, THCA, KIRP, BLCA and KICH and higher tumor expression in LUAD. The KIRC box plot shows higher OAT RNA expression in normal versus tumor tissue (log2 FC = −1.071, t-test p < 0.001).
This table shows molecular features associated with OAT in patient tissues and cancer cell lines. In patient samples, OAT 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, OAT RNA and mutation anchors are most strongly linked to RNA-expression features, especially in BREAST, while CRISPR and shRNA rows add functional-dependency signals in BLOOD_Leukemia and BONE.
