von Willebrand factor C domain containing 2 likeGenealiases: []
Q-omics provides the consensus-scored VWC2L profile across patient tissues and cancer cell-line models. VWC2L 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, VWC2L is differentially expressed in 7, with the highest sampling consensus in KICH. Additionally, VWC2L RNA expression shows 14,067 significant gene co-expression associations, with the highest sampling consensus in THYM. Together, these results highlight COAD, KICH, and THYM as cancer lineages where VWC2L 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 VWC2L — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes VWC2L survival associations across molecular data types. VWC2L RNA expression shows survival associations in the most cancer types (24), followed by mutation status (6) 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 VWC2L RNA expression–survival associations across cancer types. High VWC2L expression shows unfavorable associations in COAD, LIHC and ACC, but favorable associations in LGG, HNSC and ESCA. 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 VWC2L RNA expression.
This table summarizes VWC2L tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 7. The strongest signals are observed in KICH for RNA.
This table ranks reproducible tumor–normal expression differences for VWC2L. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. VWC2L shows lower tumor expression in KICH, COAD, LUSC and UCEC and higher tumor expression in KIRC and CHOL. The KICH box plot shows higher VWC2L RNA expression in normal versus tumor tissue (log2 FC = −0.077, t-test p < 0.001).
This table shows molecular features associated with VWC2L in patient tissues and cancer cell lines. In patient samples, VWC2L 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, VWC2L RNA and mutation anchors are most strongly linked to RNA-expression features, especially in BLOOD_Myeloma, while CRISPR and shRNA rows add functional-dependency signals in URINARY_TRACT and BLOOD_Leukemia.
