Q-omics provides the consensus-scored OR51S1 profile across patient tissues and cancer cell-line models. OR51S1 expression is associated with patient survival in 15 of 34 cancer types, with the highest sampling consensus in LIHC. Among the 18 cancer types available for tumor–normal comparison, OR51S1 is differentially expressed in 2, with the highest sampling consensus in PRAD. Additionally, OR51S1 RNA expression shows 5,763 significant pathway-activity associations, with the highest sampling consensus in STAD. Together, these results highlight LIHC, PRAD, and STAD as cancer lineages where OR51S1 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 OR51S1 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes OR51S1 survival associations across molecular data types. OR51S1 RNA expression shows survival associations in the most cancer types (15), followed by mutation status (3). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible OR51S1 RNA expression–survival associations across cancer types. High OR51S1 expression shows unfavorable associations in LIHC, STAD, BLCA, KIRP, KIRC and SCLC. The LIHC 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 LIHC as the clearest survival context for OR51S1 RNA expression.
This table summarizes OR51S1 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 2. The strongest signals are observed in KICH for RNA.
This table ranks reproducible tumor–normal expression differences for OR51S1. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. OR51S1 shows higher tumor expression in PRAD and KICH. The PRAD box plot shows higher OR51S1 RNA expression in tumor versus normal tissue (log2 FC = +0.349, t-test p < 0.001).
This table shows molecular features associated with OR51S1 in patient tissues and cancer cell lines. In patient samples, OR51S1 shows the broadest associations at the RNA and protein expression levels, with STAD recurring as the lineage with the largest associated feature set. In cancer cell lines, OR51S1 RNA and mutation anchors are most strongly linked to RNA-expression features, especially in LARGE_INTESTINE, while CRISPR and shRNA rows add functional-dependency signals in CNS and LUNG_NSCLC_LUAD.
