Q-omics provides the consensus-scored DUSP2 profile across patient tissues and cancer cell-line models. DUSP2 expression is associated with patient survival in 25 of 34 cancer types, with the highest sampling consensus in UVM. Among the 18 cancer types available for tumor–normal comparison, DUSP2 is differentially expressed in 12, with the highest sampling consensus in KICH. Additionally, DUSP2 RNA expression shows 14,985 significant gene co-expression associations, with the highest sampling consensus in UVM. Together, these results highlight UVM, and KICH as cancer lineages where DUSP2 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 DUSP2 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes DUSP2 survival associations across molecular data types. DUSP2 RNA expression shows survival associations in the most cancer types (25), followed by mutation status (1). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible DUSP2 RNA expression–survival associations across cancer types. High DUSP2 expression shows unfavorable associations in UVM and COAD, but favorable associations in BLCA, SKCM, HNSC and LUAD. The UVM 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 UVM as the clearest survival context for DUSP2 RNA expression.
This table summarizes DUSP2 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 KICH for RNA.
This table ranks reproducible tumor–normal expression differences for DUSP2. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. DUSP2 shows lower tumor expression in KICH, KIRP, BRCA and HNSC and higher tumor expression in COAD and STAD. The KICH box plot shows higher DUSP2 RNA expression in normal versus tumor tissue (log2 FC = −3.357, t-test p < 0.001).
This table shows molecular features associated with DUSP2 in patient tissues and cancer cell lines. In patient samples, DUSP2 shows the broadest associations at the RNA and protein expression levels, with UVM recurring as the lineage with the largest associated feature set. In cancer cell lines, DUSP2 RNA and mutation anchors are most strongly linked to RNA-expression features, especially in SOFT_TISSUE, while CRISPR and shRNA rows add functional-dependency signals in SKIN and BLOOD_Lymphoma.
