Q-omics provides the consensus-scored OR4D9 profile across patient tissues and cancer cell-line models. OR4D9 expression is associated with patient survival in 10 of 34 cancer types, with the highest sampling consensus in LIHC. Among the 18 cancer types available for tumor–normal comparison, OR4D9 is differentially expressed in 1, with the highest sampling consensus in KIRP. Additionally, OR4D9 RNA expression shows 6,297 significant pathway-activity associations, with the highest sampling consensus in STAD. Together, these results highlight LIHC, KIRP, and STAD as cancer lineages where OR4D9 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 OR4D9 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes OR4D9 survival associations across molecular data types. OR4D9 RNA expression shows survival associations in the most cancer types (10), followed by mutation status (3). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible OR4D9 RNA expression–survival associations across cancer types. High OR4D9 expression shows unfavorable associations in LIHC, BRCA, LAML, STAD, THCA and SARC. The LIHC 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 LIHC as the clearest survival context for OR4D9 RNA expression.
This table summarizes OR4D9 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 1. The strongest signals are observed in KIRP for RNA.
This table ranks reproducible tumor–normal expression differences for OR4D9. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. OR4D9 shows lower tumor expression in KIRP. The KIRP box plot shows higher OR4D9 RNA expression in normal versus tumor tissue (log2 FC = −0.025, t-test p = .023).
This table shows molecular features associated with OR4D9 in patient tissues and cancer cell lines. In patient samples, OR4D9 shows the broadest associations at the RNA and protein expression levels, with STAD recurring as the lineage with the largest associated feature set. In cancer cell lines, OR4D9 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 CNS and LIVER.
