Q-omics provides the consensus-scored USB1 profile across patient tissues and cancer cell-line models. USB1 expression is associated with patient survival in 22 of 34 cancer types, with the highest sampling consensus in MESO. Among the 18 cancer types available for tumor–normal comparison, USB1 is differentially expressed in 13, with the highest sampling consensus in HNSC. Additionally, USB1 RNA expression shows 18,437 significant gene co-expression associations, with the highest sampling consensus in DLBC. Together, these results highlight MESO, HNSC, and DLBC as cancer lineages where USB1 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 USB1 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes USB1 survival associations across molecular data types. USB1 RNA expression shows survival associations in the most cancer types (22), followed by mutation status (5) 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 USB1 RNA expression–survival associations across cancer types. High USB1 expression shows unfavorable associations in MESO, HNSC, KIRC, BLCA, LIHC and KIRP. The MESO 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 MESO as the clearest survival context for USB1 RNA expression.
This table summarizes USB1 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 13, while mass-spec protein shows differences in 2. The strongest signals are observed in HNSC for RNA and HNSC for protein.
This table ranks reproducible tumor–normal expression differences for USB1. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. USB1 shows higher tumor expression in HNSC, KIRP, LUAD, BLCA, LUSC and LIHC. The HNSC box plot shows higher USB1 RNA expression in tumor versus normal tissue (log2 FC = +1.942, t-test p < 0.001).
This table shows molecular features associated with USB1 in patient tissues and cancer cell lines. In patient samples, USB1 shows the broadest associations at the RNA and protein expression levels, with DLBC recurring as the lineage with the largest associated feature set. In cancer cell lines, USB1 RNA and mutation anchors are most strongly linked to RNA-expression features, especially in SKIN, while CRISPR and shRNA rows add functional-dependency signals in BLOOD_Leukemia and LUNG_NSCLC_LUSC.
