Q-omics provides the consensus-scored USP47 profile across patient tissues and cancer cell-line models. USP47 expression is associated with patient survival in 21 of 34 cancer types, with the highest sampling consensus in HNSC. Among the 18 cancer types available for tumor–normal comparison, USP47 is differentially expressed in 8, with the highest sampling consensus in LIHC. Additionally, USP47 RNA expression shows 21,205 significant gene co-expression associations, with the highest sampling consensus in ACC. Together, these results highlight HNSC, LIHC, and ACC as cancer lineages where USP47 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 USP47 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes USP47 survival associations across molecular data types. USP47 RNA expression shows survival associations in the most cancer types (21), followed by mutation status (5) 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 USP47 RNA expression–survival associations across cancer types. High USP47 expression shows unfavorable associations in HNSC, LUSC, STAD and ACC, but favorable associations in KIRC and UCS. The HNSC Kaplan–Meier curve shows clear separation, with the high-expression group declining faster, consistent with the unfavorable association (log-rank p = .001). Together, the overview and detailed table identify HNSC as the clearest survival context for USP47 RNA expression.
This table summarizes USP47 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 8, while mass-spec protein shows differences in 5. The strongest signals are observed in THCA for RNA and PDAC for protein.
This table ranks reproducible tumor–normal expression differences for USP47. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. USP47 shows lower tumor expression in THCA, UCEC and BLCA and higher tumor expression in LIHC, HNSC and CHOL. The LIHC box plot shows higher USP47 RNA expression in tumor versus normal tissue (log2 FC = +0.613, t-test p < 0.001).
This table shows molecular features associated with USP47 in patient tissues and cancer cell lines. In patient samples, USP47 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, USP47 RNA and mutation anchors are most strongly linked to RNA-expression features, especially in LUNG_NSCLC_LUSC, while CRISPR and shRNA rows add functional-dependency signals in PANCREAS and BLOOD_Leukemia.
