UEV and lactate/malate dehyrogenase domainsGenealiases: ATTP · UEV3
Q-omics provides the consensus-scored UEVLD profile across patient tissues and cancer cell-line models. UEVLD expression is associated with patient survival in 25 of 34 cancer types, with the highest sampling consensus in KIRC. Among the 18 cancer types available for tumor–normal comparison, UEVLD is differentially expressed in 12, with the highest sampling consensus in LIHC. Additionally, UEVLD RNA expression shows 20,075 significant gene co-expression associations, with the highest sampling consensus in ACC. Together, these results highlight KIRC, LIHC, and ACC as cancer lineages where UEVLD 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 UEVLD — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes UEVLD survival associations across molecular data types. UEVLD RNA expression shows survival associations in the most cancer types (25), followed by mutation status (5) and mass-spec protein abundance (6). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible UEVLD RNA expression–survival associations across cancer types. High UEVLD expression shows unfavorable associations in ACC, LIHC and LUAD, but favorable associations in KIRC, COAD and SKCM. 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 UEVLD RNA expression.
This table summarizes UEVLD tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 12, while mass-spec protein shows differences in 5. The strongest signals are observed in THCA for RNA and COAD for protein.
This table ranks reproducible tumor–normal expression differences for UEVLD. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. UEVLD shows lower tumor expression in THCA and COAD and higher tumor expression in LIHC, HNSC, BRCA and CHOL. The LIHC box plot shows higher UEVLD RNA expression in tumor versus normal tissue (log2 FC = +0.927, t-test p < 0.001).
This table shows molecular features associated with UEVLD in patient tissues and cancer cell lines. In patient samples, UEVLD 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, UEVLD 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 UPPER_AERODIGESTIVE_TRACT and CNS.
