Q-omics provides the consensus-scored OR2T10 profile across patient tissues and cancer cell-line models. OR2T10 expression is associated with patient survival in 14 of 34 cancer types, with the highest sampling consensus in KIRC. Among the 18 cancer types available for tumor–normal comparison, OR2T10 is differentially expressed in 3, with the highest sampling consensus in KIRP. Additionally, OR2T10 RNA expression shows 8,463 significant protein co-abundance associations, with the highest sampling consensus in GBM. Together, these results highlight KIRC, KIRP, and GBM as cancer lineages where OR2T10 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 OR2T10 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes OR2T10 survival associations across molecular data types. OR2T10 RNA expression shows survival associations in the most cancer types (14), 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 OR2T10 RNA expression–survival associations across cancer types. High OR2T10 expression shows unfavorable associations in BRCA, LUAD, ESCA and BLCA, but favorable associations in KIRC and KIRP. The KIRC Kaplan–Meier curve shows clear separation, with the low-expression group declining faster, consistent with the favorable association (log-rank p < 0.001). Together, the overview and detailed table identify KIRC as the clearest survival context for OR2T10 RNA expression.
This table summarizes OR2T10 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 3. The strongest signals are observed in KIRP for RNA.
This table ranks reproducible tumor–normal expression differences for OR2T10. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. OR2T10 shows lower tumor expression in KIRP, KICH and UCEC. The KIRP box plot shows higher OR2T10 RNA expression in normal versus tumor tissue (log2 FC = −1.489, t-test p < 0.001).
This table shows molecular features associated with OR2T10 in patient tissues and cancer cell lines. In patient samples, OR2T10 shows the broadest associations at the RNA and protein expression levels, with GBM recurring as the lineage with the largest associated feature set. In cancer cell lines, OR2T10 RNA and mutation anchors are most strongly linked to RNA-expression features, especially in BREAST, while CRISPR and shRNA rows add functional-dependency signals in KIDNEY and BONE.
