ubiquitin specific peptidase 15Genealiases: UNPH-2 · UNPH4
Q-omics provides the consensus-scored USP15 profile across patient tissues and cancer cell-line models. USP15 expression is associated with patient survival in 20 of 34 cancer types, with the highest sampling consensus in ACC. Among the 18 cancer types available for tumor–normal comparison, USP15 is differentially expressed in 5, with the highest sampling consensus in KIRC. Additionally, USP15 protein abundance shows 23,551 significant protein co-abundance associations, with the highest sampling consensus in HNSC. Together, these results highlight ACC, KIRC, and HNSC as cancer lineages where USP15 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 USP15 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes USP15 survival associations across molecular data types. USP15 RNA expression shows survival associations in the most cancer types (20), followed by mutation status (8) 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 USP15 RNA expression–survival associations across cancer types. High USP15 expression shows unfavorable associations in ACC, KICH, LIHC and MESO, but favorable associations in UCS and SKCM. The ACC 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 ACC as the clearest survival context for USP15 RNA expression.
This table summarizes USP15 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 5, while mass-spec protein shows differences in 6. The strongest signals are observed in KIRC for RNA and CCRCC for protein.
This table ranks reproducible tumor–normal expression differences for USP15. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. USP15 shows lower tumor expression in KICH and higher tumor expression in KIRC, HNSC, CHOL and ESCA. The KIRC box plot shows higher USP15 RNA expression in tumor versus normal tissue (log2 FC = +0.383, t-test p < 0.001).
This table shows molecular features associated with USP15 in patient tissues and cancer cell lines. In patient samples, USP15 shows the broadest associations at the RNA and protein expression levels, with HNSC recurring as the lineage with the largest associated feature set. In cancer cell lines, USP15 RNA and mutation anchors are most strongly linked to RNA-expression features, especially in URINARY_TRACT, while CRISPR and shRNA rows add functional-dependency signals in LUNG_NSCLC_LUAD and OVARY.
