Q-omics provides the consensus-scored USF3 profile across patient tissues and cancer cell-line models. USF3 expression is associated with patient survival in 18 of 34 cancer types, with the highest sampling consensus in KIRC. Among the 18 cancer types available for tumor–normal comparison, USF3 is differentially expressed in 8, with the highest sampling consensus in THCA. Additionally, USF3 RNA expression shows 21,283 significant gene co-expression associations, with the highest sampling consensus in THYM. Together, these results highlight KIRC, THCA, and THYM as cancer lineages where USF3 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 USF3 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes USF3 survival associations across molecular data types. USF3 RNA expression shows survival associations in the most cancer types (18), followed by mutation status (9). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible USF3 RNA expression–survival associations across cancer types. High USF3 expression shows unfavorable associations in DLBC, but favorable associations in KIRC, LUAD, HNSC, PRAD and THYM. 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 USF3 RNA expression.
This table summarizes USF3 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 8. The strongest signals are observed in THCA for RNA.
This table ranks reproducible tumor–normal expression differences for USF3. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. USF3 shows lower tumor expression in THCA, KIRC, COAD and KIRP and higher tumor expression in HNSC and PRAD. The THCA box plot shows higher USF3 RNA expression in normal versus tumor tissue (log2 FC = −0.483, t-test p < 0.001).
This table shows molecular features associated with USF3 in patient tissues and cancer cell lines. In patient samples, USF3 shows the broadest associations at the RNA and protein expression levels, with THYM recurring as the lineage with the largest associated feature set. In cancer cell lines, USF3 RNA and mutation anchors are most strongly linked to RNA-expression features, especially in BLOOD_Myeloma, while CRISPR and shRNA rows add functional-dependency signals in URINARY_TRACT and BLOOD_Leukemia.
