olfactory receptor family 4 subfamily C member 46Genealiases: []
Q-omics provides the consensus-scored OR4C46 profile across patient tissues and cancer cell-line models. OR4C46 expression is associated with patient survival in 7 of 34 cancer types, with the highest sampling consensus in BRCA. Additionally, OR4C46 RNA expression shows 8,077 significant gene co-expression associations, with the highest sampling consensus in LUSC. Together, these results highlight BRCA, and LUSC as cancer lineages where OR4C46 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 OR4C46 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes OR4C46 survival associations across molecular data types. OR4C46 RNA expression shows survival associations in the most cancer types (7), followed by mutation status (5). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible OR4C46 RNA expression–survival associations across cancer types. High OR4C46 expression shows unfavorable associations in BRCA, HNSC, SCLC, OV, KIRC and DLBC. The BRCA 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 BRCA as the clearest survival context for OR4C46 RNA expression.
This table shows molecular features associated with OR4C46 in patient tissues and cancer cell lines. In patient samples, OR4C46 shows the broadest associations at the RNA and protein expression levels, with LUSC recurring as the lineage with the largest associated feature set. In cancer cell lines, OR4C46 RNA and mutation anchors are most strongly linked to RNA-expression features, especially in OVARY, while CRISPR and shRNA rows add functional-dependency signals in PANCREAS and LARGE_INTESTINE.
