olfactory receptor family 51 subfamily Q member 1Genealiases: []
Q-omics provides the consensus-scored OR51Q1 profile across patient tissues and cancer cell-line models. OR51Q1 expression is associated with patient survival in 17 of 34 cancer types, with the highest sampling consensus in OV. Among the 18 cancer types available for tumor–normal comparison, OR51Q1 is differentially expressed in 6, with the highest sampling consensus in BRCA. Additionally, OR51Q1 RNA expression shows 6,964 significant protein co-abundance associations, with the highest sampling consensus in GBM. Together, these results highlight OV, BRCA, and GBM as cancer lineages where OR51Q1 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 OR51Q1 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes OR51Q1 survival associations across molecular data types. OR51Q1 RNA expression shows survival associations in the most cancer types (17), followed by mutation status (2). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible OR51Q1 RNA expression–survival associations across cancer types. High OR51Q1 expression shows unfavorable associations in THCA, KICH, LUAD and READ, but favorable associations in OV and UCS. The OV 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 OV as the clearest survival context for OR51Q1 RNA expression.
This table summarizes OR51Q1 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 6. The strongest signals are observed in BRCA for RNA.
This table ranks reproducible tumor–normal expression differences for OR51Q1. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. OR51Q1 shows higher tumor expression in BRCA, HNSC, PRAD, LUSC, LIHC and KIRC. The BRCA box plot shows higher OR51Q1 RNA expression in tumor versus normal tissue (log2 FC = +0.086, t-test p < 0.001).
This table shows molecular features associated with OR51Q1 in patient tissues and cancer cell lines. In patient samples, OR51Q1 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, OR51Q1 RNA and mutation anchors are most strongly linked to RNA-expression features, especially in LUNG_SCLC, while CRISPR and shRNA rows add functional-dependency signals in BLOOD_Lymphoma and CNS.
