ubiquitin specific peptidase 18Genealiases: ISG43 · PTORCH2 · UBP43
Q-omics provides the consensus-scored USP18 profile across patient tissues and cancer cell-line models. USP18 expression is associated with patient survival in 28 of 34 cancer types, with the highest sampling consensus in KIRC. Among the 18 cancer types available for tumor–normal comparison, USP18 is differentially expressed in 14, with the highest sampling consensus in HNSC. Additionally, USP18 RNA expression shows 18,051 significant gene co-expression associations, with the highest sampling consensus in ACC. Together, these results highlight KIRC, HNSC, and ACC as cancer lineages where USP18 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 USP18 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes USP18 survival associations across molecular data types. USP18 RNA expression shows survival associations in the most cancer types (28), followed by mutation status (3) and mass-spec protein abundance (4). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible USP18 RNA expression–survival associations across cancer types. High USP18 expression shows unfavorable associations in LGG, UCEC and UVM, but favorable associations in KIRC, LUAD and READ. The KIRC Kaplan–Meier curve shows clear separation, with the low-expression group declining faster, consistent with the favorable association (log-rank p = .002). Together, the overview and detailed table identify KIRC as the clearest survival context for USP18 RNA expression.
This table summarizes USP18 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 14, while mass-spec protein shows differences in 2. The strongest signals are observed in HNSC for RNA and HNSC for protein.
This table ranks reproducible tumor–normal expression differences for USP18. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. USP18 shows lower tumor expression in KICH and THCA and higher tumor expression in HNSC, BLCA, STAD and BRCA. The HNSC box plot shows higher USP18 RNA expression in tumor versus normal tissue (log2 FC = +1.948, t-test p < 0.001).
This table shows molecular features associated with USP18 in patient tissues and cancer cell lines. In patient samples, USP18 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, USP18 RNA and mutation anchors are most strongly linked to RNA-expression features, especially in KIDNEY, while CRISPR and shRNA rows add functional-dependency signals in PANCREAS and LARGE_INTESTINE.
