Q-omics provides the consensus-scored OR52A5 profile across patient tissues and cancer cell-line models. OR52A5 expression is associated with patient survival in 11 of 34 cancer types, with the highest sampling consensus in KICH. Additionally, OR52A5 RNA expression shows 6,844 significant gene co-expression associations, with the highest sampling consensus in COAD. Together, these results highlight KICH, and COAD as cancer lineages where OR52A5 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 OR52A5 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes OR52A5 survival associations across molecular data types. OR52A5 RNA expression shows survival associations in the most cancer types (11), 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 OR52A5 RNA expression–survival associations across cancer types. High OR52A5 expression shows unfavorable associations in KICH, KIRP, STAD, KIRC and THCA, but favorable associations in OV. The KICH 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 KICH as the clearest survival context for OR52A5 RNA expression.
This table shows molecular features associated with OR52A5 in patient tissues and cancer cell lines. In patient samples, OR52A5 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, OR52A5 RNA and mutation anchors are most strongly linked to RNA-expression features, especially in KIDNEY, while CRISPR and shRNA rows add functional-dependency signals in BLOOD_Leukemia and LUNG_SCLC.
