Q-omics provides the consensus-scored USP40 profile across patient tissues and cancer cell-line models. USP40 expression is associated with patient survival in 24 of 34 cancer types, with the highest sampling consensus in LGG. Among the 18 cancer types available for tumor–normal comparison, USP40 is differentially expressed in 11, with the highest sampling consensus in THCA. Additionally, USP40 RNA expression shows 19,962 significant gene co-expression associations, with the highest sampling consensus in UVM. Together, these results highlight LGG, THCA, and UVM as cancer lineages where USP40 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 USP40 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes USP40 survival associations across molecular data types. USP40 RNA expression shows survival associations in the most cancer types (24), followed by mutation status (7) and mass-spec protein abundance (3). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible USP40 RNA expression–survival associations across cancer types. High USP40 expression shows unfavorable associations in LGG, ACC, KIRC, LUAD and UVM, but favorable associations in BRCA. The LGG 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 LGG as the clearest survival context for USP40 RNA expression.
This table summarizes USP40 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 6. The strongest signals are observed in THCA for RNA and LSCC for protein.
This table ranks reproducible tumor–normal expression differences for USP40. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. USP40 shows lower tumor expression in THCA and KICH and higher tumor expression in HNSC, LIHC, COAD and STAD. The THCA box plot shows higher USP40 RNA expression in normal versus tumor tissue (log2 FC = −1.000, t-test p < 0.001).
This table shows molecular features associated with USP40 in patient tissues and cancer cell lines. In patient samples, USP40 shows the broadest associations at the RNA and protein expression levels, with UVM recurring as the lineage with the largest associated feature set. In cancer cell lines, USP40 RNA and mutation anchors are most strongly linked to RNA-expression features, especially in LUNG_NSCLC_LUAD, while CRISPR and shRNA rows add functional-dependency signals in LUNG_SCLC and SOFT_TISSUE.
