Q-omics provides the consensus-scored OSCAR profile across patient tissues and cancer cell-line models. OSCAR expression is associated with patient survival in 21 of 34 cancer types, with the highest sampling consensus in KIRC. Among the 18 cancer types available for tumor–normal comparison, OSCAR is differentially expressed in 12, with the highest sampling consensus in KIRC. Additionally, OSCAR RNA expression shows 20,849 significant protein co-abundance associations, with the highest sampling consensus in LSCC. Together, these results highlight KIRC, and LSCC as cancer lineages where OSCAR 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 OSCAR — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes OSCAR survival associations across molecular data types. OSCAR RNA expression shows survival associations in the most cancer types (21), followed by mutation status (8) and mass-spec protein abundance (6). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible OSCAR RNA expression–survival associations across cancer types. High OSCAR expression shows unfavorable associations in KIRC, LGG and GBM, but favorable associations in SKCM, HNSC and CESC. 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 OSCAR RNA expression.
This table summarizes OSCAR 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 3. The strongest signals are observed in KIRC for RNA and LUAD for protein.
This table ranks reproducible tumor–normal expression differences for OSCAR. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. OSCAR shows lower tumor expression in LUAD and higher tumor expression in KIRC, HNSC, THCA, KIRP and COAD. The KIRC box plot shows higher OSCAR RNA expression in tumor versus normal tissue (log2 FC = +2.156, t-test p < 0.001).
This table shows molecular features associated with OSCAR in patient tissues and cancer cell lines. In patient samples, OSCAR shows the broadest associations at the RNA and protein expression levels, with LSCC recurring as the lineage with the largest associated feature set. In cancer cell lines, OSCAR RNA and mutation anchors are most strongly linked to RNA-expression features, especially in CNS, while CRISPR and shRNA rows add functional-dependency signals in UPPER_AERODIGESTIVE_TRACT and BLOOD_Leukemia.
