Q-omics provides the consensus-scored USP38 profile across patient tissues and cancer cell-line models. USP38 expression is associated with patient survival in 25 of 34 cancer types, with the highest sampling consensus in KIRC. Among the 18 cancer types available for tumor–normal comparison, USP38 is differentially expressed in 11, with the highest sampling consensus in KICH. Additionally, USP38 RNA expression shows 20,430 significant gene co-expression associations, with the highest sampling consensus in UVM. Together, these results highlight KIRC, KICH, and UVM as cancer lineages where USP38 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 USP38 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes USP38 survival associations across molecular data types. USP38 RNA expression shows survival associations in the most cancer types (25), followed by mutation status (5) 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 USP38 RNA expression–survival associations across cancer types. High USP38 expression shows unfavorable associations in CESC and UVM, but favorable associations in KIRC, COAD, THYM and ACC. 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 USP38 RNA expression.
This table summarizes USP38 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 3. The strongest signals are observed in THCA for RNA and HNSC for protein.
This table ranks reproducible tumor–normal expression differences for USP38. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. USP38 shows lower tumor expression in KICH, THCA, COAD and KIRC and higher tumor expression in BRCA and STAD. The KICH box plot shows higher USP38 RNA expression in normal versus tumor tissue (log2 FC = −0.667, t-test p < 0.001).
This table shows molecular features associated with USP38 in patient tissues and cancer cell lines. In patient samples, USP38 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, USP38 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 SOFT_TISSUE and BLOOD_Leukemia.
