Q-omics provides the consensus-scored DUSP1 profile across patient tissues and cancer cell-line models. DUSP1 expression is associated with patient survival in 25 of 34 cancer types, with the highest sampling consensus in KIRC. Among the 18 cancer types available for tumor–normal comparison, DUSP1 is differentially expressed in 16, with the highest sampling consensus in BLCA. Additionally, DUSP1 RNA expression shows 20,960 significant protein co-abundance associations, with the highest sampling consensus in GBM. Together, these results highlight KIRC, BLCA, and GBM as cancer lineages where DUSP1 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 DUSP1 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes DUSP1 survival associations across molecular data types. DUSP1 RNA expression shows survival associations in the most cancer types (25), followed by mutation status (3) and mass-spec protein abundance (4). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible DUSP1 RNA expression–survival associations across cancer types. High DUSP1 expression shows unfavorable associations in OV, STAD, ESCA and LUSC, but favorable associations in KIRC and UCS. The KIRC Kaplan–Meier curve shows clear separation, with the low-expression group declining faster, consistent with the favorable association (log-rank p = .002). Together, the overview and detailed table identify KIRC as the clearest survival context for DUSP1 RNA expression.
This table summarizes DUSP1 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 16, while mass-spec protein shows differences in 4. The strongest signals are observed in HNSC for RNA and LSCC for protein.
This table ranks reproducible tumor–normal expression differences for DUSP1. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. DUSP1 shows lower tumor expression in BLCA, HNSC, COAD, KICH, THCA and KIRP. The BLCA box plot shows higher DUSP1 RNA expression in normal versus tumor tissue (log2 FC = −2.871, t-test p < 0.001).
This table shows molecular features associated with DUSP1 in patient tissues and cancer cell lines. In patient samples, DUSP1 shows the broadest associations at the RNA and protein expression levels, with GBM recurring as the lineage with the largest associated feature set. In cancer cell lines, DUSP1 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 BLOOD_Lymphoma and BONE.
