Q-omics provides the consensus-scored OAZ2 profile across patient tissues and cancer cell-line models. OAZ2 expression is associated with patient survival in 24 of 34 cancer types, with the highest sampling consensus in COAD. Among the 18 cancer types available for tumor–normal comparison, OAZ2 is differentially expressed in 11, with the highest sampling consensus in KIRC. Additionally, OAZ2 RNA expression shows 19,638 significant gene co-expression associations, with the highest sampling consensus in ACC. Together, these results highlight COAD, KIRC, and ACC as cancer lineages where OAZ2 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 OAZ2 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes OAZ2 survival associations across molecular data types. OAZ2 RNA expression shows survival associations in the most cancer types (24). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible OAZ2 RNA expression–survival associations across cancer types. High OAZ2 expression shows unfavorable associations in COAD, ACC and UVM, but favorable associations in KIRC, BRCA and DLBC. The COAD 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 COAD as the clearest survival context for OAZ2 RNA expression.
This table summarizes OAZ2 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 OAZ2. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. OAZ2 shows lower tumor expression in THCA, LUAD, KIRP and LUSC and higher tumor expression in KIRC and LIHC. The KIRC box plot shows higher OAZ2 RNA expression in tumor versus normal tissue (log2 FC = +0.822, t-test p < 0.001).
This table shows molecular features associated with OAZ2 in patient tissues and cancer cell lines. In patient samples, OAZ2 shows the broadest associations at the RNA and protein expression levels, with ACC recurring as the lineage with the largest associated feature set. In cancer cell lines, OAZ2 RNA and mutation anchors are most strongly linked to RNA-expression features, especially in OESOPHAGUS, while CRISPR and shRNA rows add functional-dependency signals in BLOOD_Leukemia and SOFT_TISSUE.
