Q-omics provides the consensus-scored OR8K5 profile across patient tissues and cancer cell-line models. OR8K5 expression is associated with patient survival in 6 of 34 cancer types, with the highest sampling consensus in HNSC. Additionally, OR8K5 RNA expression shows 5,219 significant pathway-activity associations, with the highest sampling consensus in UCEC. Together, these results highlight HNSC, and UCEC as cancer lineages where OR8K5 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 OR8K5 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes OR8K5 survival associations across molecular data types. OR8K5 RNA expression shows survival associations in the most cancer types (6), followed by mutation status (7). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible OR8K5 RNA expression–survival associations across cancer types. High OR8K5 expression shows unfavorable associations in HNSC, KIRC, DLBC, LIHC and UCEC, but favorable associations in SKCM. The HNSC 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 HNSC as the clearest survival context for OR8K5 RNA expression.
This table shows molecular features associated with OR8K5 in patient tissues and cancer cell lines. In patient samples, OR8K5 shows the broadest associations at the RNA and protein expression levels, with UCEC recurring as the lineage with the largest associated feature set. In cancer cell lines, OR8K5 RNA and mutation anchors are most strongly linked to RNA-expression features, especially in LUNG_NSCLC_LUAD, while CRISPR and shRNA rows add functional-dependency signals in LARGE_INTESTINE and BREAST.
