Q-omics provides the consensus-scored OR10J4 profile across patient tissues and cancer cell-line models. OR10J4 expression is associated with patient survival in 7 of 34 cancer types, with the highest sampling consensus in STAD. Additionally, OR10J4 RNA expression shows 8,363 significant gene co-expression associations, with the highest sampling consensus in COAD. Together, these results highlight STAD, and COAD as cancer lineages where OR10J4 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 OR10J4 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes OR10J4 survival associations across molecular data types. OR10J4 RNA expression shows survival associations in the most cancer types (7). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible OR10J4 RNA expression–survival associations across cancer types. High OR10J4 expression shows unfavorable associations in STAD, KIRP, ESCA, THCA and LUSC, but favorable associations in HNSC. The STAD Kaplan–Meier curve shows clear separation, with the high-expression group declining faster, consistent with the unfavorable association (log-rank p = .003). Together, the overview and detailed table identify STAD as the clearest survival context for OR10J4 RNA expression.
This table shows molecular features associated with OR10J4 in patient tissues and cancer cell lines. In patient samples, OR10J4 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, OR10J4 RNA and mutation anchors are most strongly linked to RNA-expression features, especially in UPPER_AERODIGESTIVE_TRACT.
