von Willebrand factor C domain containing 2Genealiases: PSST739 · UNQ739
Q-omics provides the consensus-scored VWC2 profile across patient tissues and cancer cell-line models. VWC2 expression is associated with patient survival in 23 of 34 cancer types, with the highest sampling consensus in HNSC. Among the 18 cancer types available for tumor–normal comparison, VWC2 is differentially expressed in 14, with the highest sampling consensus in COAD. Additionally, VWC2 RNA expression shows 12,463 significant gene co-expression associations, with the highest sampling consensus in TGCT. Together, these results highlight HNSC, COAD, and TGCT as cancer lineages where VWC2 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 VWC2 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes VWC2 survival associations across molecular data types. VWC2 RNA expression shows survival associations in the most cancer types (23), followed by mutation status (3) and mass-spec protein abundance (1). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible VWC2 RNA expression–survival associations across cancer types. High VWC2 expression shows unfavorable associations in UVM, BLCA and THYM, but favorable associations in HNSC, LGG and COAD. The HNSC 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 HNSC as the clearest survival context for VWC2 RNA expression.
This table summarizes VWC2 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 14. The strongest signals are observed in COAD for RNA.
This table ranks reproducible tumor–normal expression differences for VWC2. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. VWC2 shows lower tumor expression in COAD, THCA, LUAD, HNSC, STAD and UCEC. The COAD box plot shows higher VWC2 RNA expression in normal versus tumor tissue (log2 FC = −0.235, t-test p < 0.001).
This table shows molecular features associated with VWC2 in patient tissues and cancer cell lines. In patient samples, VWC2 shows the broadest associations at the RNA and protein expression levels, with TGCT recurring as the lineage with the largest associated feature set. In cancer cell lines, VWC2 RNA and mutation anchors are most strongly linked to RNA-expression features, especially in UPPER_AERODIGESTIVE_TRACT, while CRISPR and shRNA rows add functional-dependency signals in LUNG_NSCLC_LUAD and LUNG_SCLC.
