Q-omics provides the consensus-scored OVCH2 profile across patient tissues and cancer cell-line models. OVCH2 expression is associated with patient survival in 19 of 34 cancer types, with the highest sampling consensus in UVM. Among the 18 cancer types available for tumor–normal comparison, OVCH2 is differentially expressed in 11, with the highest sampling consensus in KIRC. Additionally, OVCH2 RNA expression shows 14,063 significant gene co-expression associations, with the highest sampling consensus in THYM. Together, these results highlight UVM, KIRC, and THYM as cancer lineages where OVCH2 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 OVCH2 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes OVCH2 survival associations across molecular data types. OVCH2 RNA expression shows survival associations in the most cancer types (19), followed by mutation status (4). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible OVCH2 RNA expression–survival associations across cancer types. High OVCH2 expression shows unfavorable associations in UVM and KIRP, but favorable associations in BLCA, UCS, READ and KICH. The UVM 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 UVM as the clearest survival context for OVCH2 RNA expression.
This table summarizes OVCH2 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 11. The strongest signals are observed in KIRC for RNA.
This table ranks reproducible tumor–normal expression differences for OVCH2. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. OVCH2 shows lower tumor expression in KIRC, KICH, KIRP, LUAD, LUSC and BRCA. The KIRC box plot shows higher OVCH2 RNA expression in normal versus tumor tissue (log2 FC = −3.253, t-test p < 0.001).
This table shows molecular features associated with OVCH2 in patient tissues and cancer cell lines. In patient samples, OVCH2 shows the broadest associations at the RNA and protein expression levels, with THYM recurring as the lineage with the largest associated feature set. In cancer cell lines, OVCH2 RNA and mutation anchors are most strongly linked to RNA-expression features, especially in BREAST.
