olfactory receptor family 5 subfamily B member 3Genealiases: OR11-239 · OR5B13 · OST129
Q-omics provides the consensus-scored OR5B3 profile across patient tissues and cancer cell-line models. OR5B3 expression is associated with patient survival in 6 of 34 cancer types, with the highest sampling consensus in BRCA. Additionally, OR5B3 RNA expression shows 5,035 significant gene co-expression associations, with the highest sampling consensus in UCEC. Together, these results highlight BRCA, and UCEC as cancer lineages where OR5B3 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 OR5B3 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes OR5B3 survival associations across molecular data types. OR5B3 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 OR5B3 RNA expression–survival associations across cancer types. High OR5B3 expression shows unfavorable associations in BRCA, KIRP, GBM, COAD, STAD and ESCA. 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 OR5B3 RNA expression.
This table shows molecular features associated with OR5B3 in patient tissues and cancer cell lines. In patient samples, OR5B3 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, OR5B3 RNA and mutation anchors are most strongly linked to RNA-expression features, especially in PANCREAS, while CRISPR and shRNA rows add functional-dependency signals in BLOOD_Myeloma and SKIN.
