Q-omics provides the consensus-scored USP8 profile across patient tissues and cancer cell-line models. USP8 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, USP8 is differentially expressed in 11, with the highest sampling consensus in THCA. Additionally, USP8 protein abundance shows 34,546 significant protein co-abundance associations, with the highest sampling consensus in GBM. Together, these results highlight KIRC, THCA, and GBM as cancer lineages where USP8 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 USP8 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes USP8 survival associations across molecular data types. USP8 RNA expression shows survival associations in the most cancer types (28), followed by mutation status (6) and mass-spec protein abundance (5). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible USP8 RNA expression–survival associations across cancer types. High USP8 expression shows unfavorable associations in ACC, UVM, KIRP, ESCA and SCLC, but favorable associations in KIRC. The KIRC Kaplan–Meier curve shows clear separation, with the low-expression group declining faster, consistent with the favorable association (log-rank p < 0.001). Together, the overview and detailed table identify KIRC as the clearest survival context for USP8 RNA expression.
This table summarizes USP8 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 11, while mass-spec protein shows differences in 9. The strongest signals are observed in THCA for RNA and HNSC for protein.
This table ranks reproducible tumor–normal expression differences for USP8. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. USP8 shows lower tumor expression in THCA and LUAD and higher tumor expression in HNSC, LIHC, CHOL and STAD. The THCA box plot shows higher USP8 RNA expression in normal versus tumor tissue (log2 FC = −0.650, t-test p < 0.001).
This table shows molecular features associated with USP8 in patient tissues and cancer cell lines. In patient samples, USP8 shows the broadest associations at the RNA and protein expression levels, with GBM recurring as the lineage with the largest associated feature set. In cancer cell lines, USP8 RNA and mutation anchors are most strongly linked to RNA-expression features, especially in OESOPHAGUS, while CRISPR and shRNA rows add functional-dependency signals in URINARY_TRACT and UPPER_AERODIGESTIVE_TRACT.
