dispatched RND transporter family member 1Genealiases: DISPA · HPE10
Q-omics provides the consensus-scored DISP1 profile across patient tissues and cancer cell-line models. DISP1 expression is associated with patient survival in 20 of 34 cancer types, with the highest sampling consensus in KIRC. Among the 18 cancer types available for tumor–normal comparison, DISP1 is differentially expressed in 8, with the highest sampling consensus in KICH. Additionally, DISP1 RNA expression shows 20,945 significant gene co-expression associations, with the highest sampling consensus in THYM. Together, these results highlight KIRC, KICH, and THYM as cancer lineages where DISP1 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 DISP1 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes DISP1 survival associations across molecular data types. DISP1 RNA expression shows survival associations in the most cancer types (20), followed by mutation status (7) 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 DISP1 RNA expression–survival associations across cancer types. High DISP1 expression shows unfavorable associations in LGG, ACC and LUSC, but favorable associations in KIRC, UVM and THCA. 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 DISP1 RNA expression.
This table summarizes DISP1 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 8, while mass-spec protein shows differences in 3. The strongest signals are observed in KICH for RNA and LUAD for protein.
This table ranks reproducible tumor–normal expression differences for DISP1. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. DISP1 shows lower tumor expression in KICH, LUAD, LUSC, BLCA and UCEC and higher tumor expression in LIHC. The KICH box plot shows higher DISP1 RNA expression in normal versus tumor tissue (log2 FC = −2.165, t-test p < 0.001).
This table shows molecular features associated with DISP1 in patient tissues and cancer cell lines. In patient samples, DISP1 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, DISP1 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 BLOOD_Lymphoma and BLOOD_Leukemia.
