olfactory receptor family 4 subfamily F member 4Genealiases: OLA-7501 · OR4F18
Q-omics provides the consensus-scored OR4F4 profile across patient tissues and cancer cell-line models. OR4F4 expression is associated with patient survival in 10 of 34 cancer types, with the highest sampling consensus in PAAD. Additionally, OR4F4 RNA expression shows 6,851 significant gene co-expression associations, with the highest sampling consensus in COAD. Together, these results highlight PAAD, and COAD as cancer lineages where OR4F4 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 OR4F4 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes OR4F4 survival associations across molecular data types. OR4F4 RNA expression shows survival associations in the most cancer types (10), followed by mutation status (1). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible OR4F4 RNA expression–survival associations across cancer types. High OR4F4 expression shows unfavorable associations in PAAD, LUAD, HNSC, BRCA, GBM and LGG. The PAAD 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 PAAD as the clearest survival context for OR4F4 RNA expression.
This table shows molecular features associated with OR4F4 in patient tissues and cancer cell lines. In patient samples, OR4F4 shows the broadest associations at the RNA and protein expression levels, with COAD recurring as the lineage with the largest associated feature set. In cancer cell lines, OR4F4 RNA and mutation anchors are most strongly linked to RNA-expression features, especially in UPPER_AERODIGESTIVE_TRACT, while CRISPR and shRNA rows add functional-dependency signals in LARGE_INTESTINE.
