Q-omics provides the consensus-scored USP49 profile across patient tissues and cancer cell-line models. USP49 expression is associated with patient survival in 25 of 34 cancer types, with the highest sampling consensus in HNSC. Among the 18 cancer types available for tumor–normal comparison, USP49 is differentially expressed in 11, with the highest sampling consensus in THCA. Additionally, USP49 RNA expression shows 21,574 significant gene co-expression associations, with the highest sampling consensus in ACC. Together, these results highlight HNSC, THCA, and ACC as cancer lineages where USP49 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 USP49 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes USP49 survival associations across molecular data types. USP49 RNA expression shows survival associations in the most cancer types (25), followed by mutation status (5). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible USP49 RNA expression–survival associations across cancer types. High USP49 expression shows unfavorable associations in ACC and LIHC, but favorable associations in HNSC, SCLC, UCS and LGG. The HNSC 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 HNSC as the clearest survival context for USP49 RNA expression.
This table summarizes USP49 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 11. The strongest signals are observed in THCA for RNA.
This table ranks reproducible tumor–normal expression differences for USP49. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. USP49 shows lower tumor expression in THCA and KICH and higher tumor expression in HNSC, LIHC, COAD and CHOL. The THCA box plot shows higher USP49 RNA expression in normal versus tumor tissue (log2 FC = −1.468, t-test p < 0.001).
This table shows molecular features associated with USP49 in patient tissues and cancer cell lines. In patient samples, USP49 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, USP49 RNA and mutation anchors are most strongly linked to RNA-expression features, especially in BLOOD_Leukemia, while CRISPR and shRNA rows add functional-dependency signals in LARGE_INTESTINE and UPPER_AERODIGESTIVE_TRACT.
