Q-omics provides the consensus-scored USP50 profile across patient tissues and cancer cell-line models. USP50 expression is associated with patient survival in 19 of 34 cancer types, with the highest sampling consensus in THYM. Among the 18 cancer types available for tumor–normal comparison, USP50 is differentially expressed in 6, with the highest sampling consensus in KICH. Additionally, USP50 RNA expression shows 15,389 significant gene co-expression associations, with the highest sampling consensus in UVM. Together, these results highlight THYM, KICH, and UVM as cancer lineages where USP50 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 USP50 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes USP50 survival associations across molecular data types. USP50 RNA expression shows survival associations in the most cancer types (19), followed by mutation status (4). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible USP50 RNA expression–survival associations across cancer types. High USP50 expression shows unfavorable associations in THYM, OV, READ, TGCT and LGG, but favorable associations in BRCA. The THYM Kaplan–Meier curve shows clear separation, with the high-expression group declining faster, consistent with the unfavorable association (log-rank p = .002). Together, the overview and detailed table identify THYM as the clearest survival context for USP50 RNA expression.
This table summarizes USP50 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 6. The strongest signals are observed in KICH for RNA.
This table ranks reproducible tumor–normal expression differences for USP50. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. USP50 shows lower tumor expression in KICH, KIRP, THCA and LUSC and higher tumor expression in HNSC and STAD. The KICH box plot shows higher USP50 RNA expression in normal versus tumor tissue (log2 FC = −0.221, t-test p < 0.001).
This table shows molecular features associated with USP50 in patient tissues and cancer cell lines. In patient samples, USP50 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, USP50 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 UPPER_AERODIGESTIVE_TRACT and BLOOD_Lymphoma.
