Q-omics provides the consensus-scored DUSP15 profile across patient tissues and cancer cell-line models. DUSP15 expression is associated with patient survival in 22 of 34 cancer types, with the highest sampling consensus in UVM. Among the 18 cancer types available for tumor–normal comparison, DUSP15 is differentially expressed in 12, with the highest sampling consensus in KIRC. Additionally, DUSP15 RNA expression shows 14,524 significant gene co-expression associations, with the highest sampling consensus in TGCT. Together, these results highlight UVM, KIRC, and TGCT as cancer lineages where DUSP15 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 DUSP15 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes DUSP15 survival associations across molecular data types. DUSP15 RNA expression shows survival associations in the most cancer types (22), followed by mutation status (3) and mass-spec protein abundance (1). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible DUSP15 RNA expression–survival associations across cancer types. High DUSP15 expression shows unfavorable associations in LGG, but favorable associations in UVM, KIRP, BRCA, PAAD and UCS. The UVM 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 UVM as the clearest survival context for DUSP15 RNA expression.
This table summarizes DUSP15 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 12. The strongest signals are observed in KIRC for RNA.
This table ranks reproducible tumor–normal expression differences for DUSP15. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. DUSP15 shows lower tumor expression in KIRC, THCA, KIRP and LUAD and higher tumor expression in COAD and KICH. The KIRC box plot shows higher DUSP15 RNA expression in normal versus tumor tissue (log2 FC = −2.471, t-test p < 0.001).
This table shows molecular features associated with DUSP15 in patient tissues and cancer cell lines. In patient samples, DUSP15 shows the broadest associations at the RNA and protein expression levels, with TGCT recurring as the lineage with the largest associated feature set. In cancer cell lines, DUSP15 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 STOMACH.
