Q-omics provides the consensus-scored OSM profile across patient tissues and cancer cell-line models. OSM expression is associated with patient survival in 21 of 34 cancer types, with the highest sampling consensus in ACC. Among the 18 cancer types available for tumor–normal comparison, OSM is differentially expressed in 12, with the highest sampling consensus in KIRC. Additionally, OSM RNA expression shows 16,935 significant protein co-abundance associations, with the highest sampling consensus in GBM. Together, these results highlight ACC, KIRC, and GBM as cancer lineages where OSM 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 OSM — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes OSM survival associations across molecular data types. OSM RNA expression shows survival associations in the most cancer types (21), 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 OSM RNA expression–survival associations across cancer types. High OSM expression shows unfavorable associations in ACC, ESCA, KIRC, THCA and GBM, but favorable associations in 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 OSM RNA expression.
This table summarizes OSM 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 OSM. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. OSM shows higher tumor expression in KIRC, HNSC, COAD, THCA, STAD and BRCA. The KIRC box plot shows higher OSM RNA expression in tumor versus normal tissue (log2 FC = +1.652, t-test p < 0.001).
This table shows molecular features associated with OSM in patient tissues and cancer cell lines. In patient samples, OSM shows the broadest associations at the RNA and protein expression levels, with GBM recurring as the lineage with the largest associated feature set. In cancer cell lines, OSM RNA and mutation anchors are most strongly linked to RNA-expression features, especially in URINARY_TRACT, while CRISPR and shRNA rows add functional-dependency signals in LUNG_NSCLC_LUSC and BLOOD_Lymphoma.
