valosin containing protein interacting protein 1Genealiases: DUBA3 · VCIP135
Q-omics provides the consensus-scored VCPIP1 profile across patient tissues and cancer cell-line models. VCPIP1 expression is associated with patient survival in 28 of 34 cancer types, with the highest sampling consensus in UVM. Among the 18 cancer types available for tumor–normal comparison, VCPIP1 is differentially expressed in 12, with the highest sampling consensus in HNSC. Additionally, VCPIP1 RNA expression shows 21,345 significant gene co-expression associations, with the highest sampling consensus in ACC. Together, these results highlight UVM, HNSC, and ACC as cancer lineages where VCPIP1 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 VCPIP1 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes VCPIP1 survival associations across molecular data types. VCPIP1 RNA expression shows survival associations in the most cancer types (28), followed by mutation status (7) 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 VCPIP1 RNA expression–survival associations across cancer types. High VCPIP1 expression shows unfavorable associations in UVM, CESC and KIRP, but favorable associations in KIRC, SKCM and THYM. The UVM 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 UVM as the clearest survival context for VCPIP1 RNA expression.
This table summarizes VCPIP1 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 HNSC for RNA and HNSC for protein.
This table ranks reproducible tumor–normal expression differences for VCPIP1. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. VCPIP1 shows higher tumor expression in HNSC, KIRP, KIRC, STAD, LIHC and BRCA. The HNSC box plot shows higher VCPIP1 RNA expression in tumor versus normal tissue (log2 FC = +1.415, t-test p < 0.001).
This table shows molecular features associated with VCPIP1 in patient tissues and cancer cell lines. In patient samples, VCPIP1 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, VCPIP1 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 BLOOD_Leukemia.
