ubiquitin specific peptidase 4Genealiases: UNP · Unph
Q-omics provides the consensus-scored USP4 profile across patient tissues and cancer cell-line models. USP4 expression is associated with patient survival in 26 of 34 cancer types, with the highest sampling consensus in KICH. Among the 18 cancer types available for tumor–normal comparison, USP4 is differentially expressed in 10, with the highest sampling consensus in LIHC. Additionally, USP4 RNA expression shows 19,984 significant gene co-expression associations, with the highest sampling consensus in ACC. Together, these results highlight KICH, LIHC, and ACC as cancer lineages where USP4 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 USP4 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes USP4 survival associations across molecular data types. USP4 RNA expression shows survival associations in the most cancer types (26), 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 USP4 RNA expression–survival associations across cancer types. High USP4 expression shows unfavorable associations in KICH, LGG and ACC, but favorable associations in LUAD, BRCA and UVM. The KICH 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 KICH as the clearest survival context for USP4 RNA expression.
This table summarizes USP4 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 10, while mass-spec protein shows differences in 4. The strongest signals are observed in LIHC for RNA and CCRCC for protein.
This table ranks reproducible tumor–normal expression differences for USP4. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. USP4 shows lower tumor expression in KIRC, LUSC and BRCA and higher tumor expression in LIHC, COAD and CHOL. The LIHC box plot shows higher USP4 RNA expression in tumor versus normal tissue (log2 FC = +0.760, t-test p < 0.001).
This table shows molecular features associated with USP4 in patient tissues and cancer cell lines. In patient samples, USP4 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, USP4 RNA and mutation anchors are most strongly linked to RNA-expression features, especially in LUNG_SCLC, while CRISPR and shRNA rows add functional-dependency signals in BONE and UPPER_AERODIGESTIVE_TRACT.
