ventricular zone expressed PH domain containing 1Genealiases: MELT · VEPH
Q-omics provides the consensus-scored VEPH1 profile across patient tissues and cancer cell-line models. VEPH1 expression is associated with patient survival in 22 of 34 cancer types, with the highest sampling consensus in ACC. Among the 18 cancer types available for tumor–normal comparison, VEPH1 is differentially expressed in 11, with the highest sampling consensus in LUAD. Additionally, VEPH1 RNA expression shows 18,168 significant gene co-expression associations, with the highest sampling consensus in THYM. Together, these results highlight ACC, LUAD, and THYM as cancer lineages where VEPH1 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 VEPH1 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes VEPH1 survival associations across molecular data types. VEPH1 RNA expression shows survival associations in the most cancer types (22), followed by mutation status (6) and mass-spec protein abundance (3). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible VEPH1 RNA expression–survival associations across cancer types. High VEPH1 expression shows unfavorable associations in THCA and LUSC, but favorable associations in ACC, KIRC, KIRP and LGG. The ACC 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 ACC as the clearest survival context for VEPH1 RNA expression.
This table summarizes VEPH1 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 11, while mass-spec protein shows differences in 3. The strongest signals are observed in THCA for RNA and CCRCC for protein.
This table ranks reproducible tumor–normal expression differences for VEPH1. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. VEPH1 shows lower tumor expression in LUAD, KIRC, THCA, COAD, LUSC and KICH. The LUAD box plot shows higher VEPH1 RNA expression in normal versus tumor tissue (log2 FC = −3.468, t-test p < 0.001).
This table shows molecular features associated with VEPH1 in patient tissues and cancer cell lines. In patient samples, VEPH1 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, VEPH1 RNA and mutation anchors are most strongly linked to RNA-expression features, especially in PANCREAS, while CRISPR and shRNA rows add functional-dependency signals in LUNG_NSCLC_LUAD and BONE.
