Q-omics provides the consensus-scored OR10G4 profile across patient tissues and cancer cell-line models. OR10G4 expression is associated with patient survival in 19 of 34 cancer types, with the highest sampling consensus in STAD. Among the 18 cancer types available for tumor–normal comparison, OR10G4 is differentially expressed in 2, with the highest sampling consensus in COAD. Additionally, OR10G4 RNA expression shows 7,594 significant protein co-abundance associations, with the highest sampling consensus in PDAC. Together, these results highlight STAD, COAD, and PDAC as cancer lineages where OR10G4 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 OR10G4 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes OR10G4 survival associations across molecular data types. OR10G4 RNA expression shows survival associations in the most cancer types (19), followed by mutation status (6). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible OR10G4 RNA expression–survival associations across cancer types. High OR10G4 expression shows unfavorable associations in STAD, UCS, SKCM, KIRP, UVM and GBM. The STAD 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 STAD as the clearest survival context for OR10G4 RNA expression.
This table summarizes OR10G4 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 2. The strongest signals are observed in COAD for RNA.
This table ranks reproducible tumor–normal expression differences for OR10G4. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. OR10G4 shows lower tumor expression in COAD and KIRC. The COAD box plot shows higher OR10G4 RNA expression in normal versus tumor tissue (log2 FC = −0.062, t-test p < 0.001).
This table shows molecular features associated with OR10G4 in patient tissues and cancer cell lines. In patient samples, OR10G4 shows the broadest associations at the RNA and protein expression levels, with PDAC recurring as the lineage with the largest associated feature set. In cancer cell lines, OR10G4 RNA and mutation anchors are most strongly linked to RNA-expression features, especially in LIVER, while CRISPR and shRNA rows add functional-dependency signals in BONE and UPPER_AERODIGESTIVE_TRACT.
