ubiquitin specific peptidase 13Genealiases: ISOT3 · IsoT-3
Q-omics provides the consensus-scored USP13 profile across patient tissues and cancer cell-line models. USP13 expression is associated with patient survival in 26 of 34 cancer types, with the highest sampling consensus in BLCA. Among the 18 cancer types available for tumor–normal comparison, USP13 is differentially expressed in 12, with the highest sampling consensus in KICH. Additionally, USP13 protein abundance shows 35,728 significant protein co-abundance associations, with the highest sampling consensus in HNSC. Together, these results highlight BLCA, KICH, and HNSC as cancer lineages where USP13 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 USP13 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes USP13 survival associations across molecular data types. USP13 RNA expression shows survival associations in the most cancer types (26), followed by mutation status (5) and mass-spec protein abundance (14). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible USP13 RNA expression–survival associations across cancer types. High USP13 expression shows unfavorable associations in BLCA, LIHC, KIRP, STAD and COAD, but favorable associations in LAML. The BLCA 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 BLCA as the clearest survival context for USP13 RNA expression.
This table summarizes USP13 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 11. The strongest signals are observed in LIHC for RNA and LUAD for protein.
This table ranks reproducible tumor–normal expression differences for USP13. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. USP13 shows lower tumor expression in KICH, LUAD and KIRC and higher tumor expression in LIHC, COAD and CHOL. The KICH box plot shows higher USP13 RNA expression in normal versus tumor tissue (log2 FC = −1.902, t-test p < 0.001).
This table shows molecular features associated with USP13 in patient tissues and cancer cell lines. In patient samples, USP13 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, USP13 RNA and mutation anchors are most strongly linked to RNA-expression features, especially in PANCREAS, while CRISPR and shRNA rows add functional-dependency signals in CNS and LARGE_INTESTINE.
