olfactory receptor family 6 subfamily C member 75Genealiases: []
Q-omics provides the consensus-scored OR6C75 profile across patient tissues and cancer cell-line models. OR6C75 expression is associated with patient survival in 10 of 34 cancer types, with the highest sampling consensus in CESC. Additionally, OR6C75 RNA expression shows 6,338 significant pathway-activity associations, with the highest sampling consensus in STAD. Together, these results highlight CESC, and STAD as cancer lineages where OR6C75 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 OR6C75 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes OR6C75 survival associations across molecular data types. OR6C75 RNA expression shows survival associations in the most cancer types (10), followed by mutation status (5). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible OR6C75 RNA expression–survival associations across cancer types. High OR6C75 expression shows unfavorable associations in CESC, BLCA, LAML, ACC, HNSC and SKCM. The CESC 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 CESC as the clearest survival context for OR6C75 RNA expression.
This table shows molecular features associated with OR6C75 in patient tissues and cancer cell lines. In patient samples, OR6C75 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, OR6C75 RNA and mutation anchors are most strongly linked to RNA-expression features, especially in SOFT_TISSUE, while CRISPR and shRNA rows add functional-dependency signals in LARGE_INTESTINE and LUNG_NSCLC_LUSC.
