olfactory receptor family 1 subfamily D member 2Genealiases: OLFR1 · OR17-4
Q-omics provides the consensus-scored OR1D2 profile across patient tissues and cancer cell-line models. OR1D2 expression is associated with patient survival in 12 of 34 cancer types, with the highest sampling consensus in SCLC. Additionally, OR1D2 RNA expression shows 5,618 significant pathway-activity associations, with the highest sampling consensus in HNSC. Together, these results highlight SCLC, and HNSC as cancer lineages where OR1D2 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 OR1D2 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes OR1D2 survival associations across molecular data types. OR1D2 RNA expression shows survival associations in the most cancer types (12), 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 OR1D2 RNA expression–survival associations across cancer types. High OR1D2 expression shows unfavorable associations in SCLC, BRCA, SKCM and OV, but favorable associations in STAD and LGG. The SCLC 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 SCLC as the clearest survival context for OR1D2 RNA expression.
This table shows molecular features associated with OR1D2 in patient tissues and cancer cell lines. In patient samples, OR1D2 shows the broadest associations at the RNA and protein expression levels, with HNSC recurring as the lineage with the largest associated feature set. In cancer cell lines, OR1D2 RNA and mutation anchors are most strongly linked to RNA-expression features, especially in SKIN, while CRISPR and shRNA rows add functional-dependency signals in LARGE_INTESTINE and LUNG_SCLC.
