Q-omics provides the consensus-scored OCM profile across patient tissues and cancer cell-line models. OCM expression is associated with patient survival in 25 of 34 cancer types, with the highest sampling consensus in BLCA. Among the 18 cancer types available for tumor–normal comparison, OCM is differentially expressed in 10, with the highest sampling consensus in KICH. Additionally, OCM RNA expression shows 11,631 significant gene co-expression associations, with the highest sampling consensus in UVM. Together, these results highlight BLCA, KICH, and UVM as cancer lineages where OCM 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 OCM — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes OCM survival associations across molecular data types. OCM RNA expression shows survival associations in the most cancer types (25), followed by mutation status (1) and mass-spec protein abundance (1). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible OCM RNA expression–survival associations across cancer types. High OCM expression shows unfavorable associations in KIRC, LGG and THYM, but favorable associations in BLCA, KIRP and ESCA. The BLCA Kaplan–Meier curve shows clear separation, with the low-expression group declining faster, consistent with the favorable association (log-rank p < 0.001). Together, the overview and detailed table identify BLCA as the clearest survival context for OCM RNA expression.
This table summarizes OCM tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 10. The strongest signals are observed in KICH for RNA.
This table ranks reproducible tumor–normal expression differences for OCM. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. OCM shows lower tumor expression in KICH, THCA and BRCA and higher tumor expression in LIHC, CHOL and KIRP. The KICH box plot shows higher OCM RNA expression in normal versus tumor tissue (log2 FC = −0.193, t-test p < 0.001).
This table shows molecular features associated with OCM in patient tissues and cancer cell lines. In patient samples, OCM 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, OCM 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 URINARY_TRACT and BLOOD_Lymphoma.
