Q-omics provides the consensus-scored OR2J1 profile across patient tissues and cancer cell-line models. OR2J1 expression is associated with patient survival in 7 of 34 cancer types, with the highest sampling consensus in BRCA. Additionally, OR2J1 RNA expression shows 5,764 significant gene co-expression associations, with the highest sampling consensus in COAD. Together, these results highlight BRCA, and COAD as cancer lineages where OR2J1 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 OR2J1 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes OR2J1 survival associations across molecular data types. OR2J1 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 OR2J1 RNA expression–survival associations across cancer types. High OR2J1 expression shows unfavorable associations in BRCA, KIRC, HNSC, THCA and UCEC, but favorable associations in LUSC. The BRCA 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 BRCA as the clearest survival context for OR2J1 RNA expression.
This table shows molecular features associated with OR2J1 in patient tissues and cancer cell lines. In patient samples, OR2J1 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, OR2J1 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 CNS and UPPER_AERODIGESTIVE_TRACT.
