Q-omics provides the consensus-scored USP11 profile across patient tissues and cancer cell-line models. USP11 expression is associated with patient survival in 27 of 34 cancer types, with the highest sampling consensus in UVM. Among the 18 cancer types available for tumor–normal comparison, USP11 is differentially expressed in 14, with the highest sampling consensus in THCA. Additionally, USP11 RNA expression shows 20,415 significant gene co-expression associations, with the highest sampling consensus in ACC. Together, these results highlight UVM, THCA, and ACC as cancer lineages where USP11 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 USP11 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes USP11 survival associations across molecular data types. USP11 RNA expression shows survival associations in the most cancer types (27), followed by mutation status (6) 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 USP11 RNA expression–survival associations across cancer types. High USP11 expression shows unfavorable associations in LIHC, ACC and COAD, but favorable associations in UVM, SCLC and KIRC. The UVM 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 UVM as the clearest survival context for USP11 RNA expression.
This table summarizes USP11 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 6. The strongest signals are observed in THCA for RNA and HNSC for protein.
This table ranks reproducible tumor–normal expression differences for USP11. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. USP11 shows lower tumor expression in THCA and KIRC and higher tumor expression in LIHC, COAD, HNSC and CHOL. The THCA box plot shows higher USP11 RNA expression in normal versus tumor tissue (log2 FC = −0.665, t-test p < 0.001).
This table shows molecular features associated with USP11 in patient tissues and cancer cell lines. In patient samples, USP11 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, USP11 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 BLOOD_Lymphoma and BLOOD_Leukemia.
