Q-omics provides the consensus-scored VANGL1 profile across patient tissues and cancer cell-line models. VANGL1 expression is associated with patient survival in 27 of 34 cancer types, with the highest sampling consensus in KIRC. Among the 18 cancer types available for tumor–normal comparison, VANGL1 is differentially expressed in 12, with the highest sampling consensus in THCA. Additionally, VANGL1 RNA expression shows 19,327 significant gene co-expression associations, with the highest sampling consensus in ACC. Together, these results highlight KIRC, THCA, and ACC as cancer lineages where VANGL1 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 VANGL1 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes VANGL1 survival associations across molecular data types. VANGL1 RNA expression shows survival associations in the most cancer types (27), followed by mutation status (3) 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 VANGL1 RNA expression–survival associations across cancer types. High VANGL1 expression shows unfavorable associations in PAAD, LUAD, MESO, LIHC and LGG, but favorable associations in KIRC. 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 VANGL1 RNA expression.
This table summarizes VANGL1 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 4. The strongest signals are observed in THCA for RNA and LSCC for protein.
This table ranks reproducible tumor–normal expression differences for VANGL1. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. VANGL1 shows lower tumor expression in THCA and higher tumor expression in HNSC, BLCA, LUAD, LUSC and LIHC. The THCA box plot shows higher VANGL1 RNA expression in normal versus tumor tissue (log2 FC = −1.837, t-test p < 0.001).
This table shows molecular features associated with VANGL1 in patient tissues and cancer cell lines. In patient samples, VANGL1 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, VANGL1 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 BLOOD_Leukemia and LARGE_INTESTINE.
