Q-omics provides the consensus-scored DISP3 profile across patient tissues and cancer cell-line models. DISP3 expression is associated with patient survival in 20 of 34 cancer types, with the highest sampling consensus in LGG. Among the 18 cancer types available for tumor–normal comparison, DISP3 is differentially expressed in 14, with the highest sampling consensus in HNSC. Additionally, DISP3 RNA expression shows 14,571 significant gene co-expression associations, with the highest sampling consensus in SCLC. Together, these results highlight LGG, HNSC, and SCLC as cancer lineages where DISP3 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 DISP3 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes DISP3 survival associations across molecular data types. DISP3 RNA expression shows survival associations in the most cancer types (20), followed by mutation status (10). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible DISP3 RNA expression–survival associations across cancer types. High DISP3 expression shows unfavorable associations in THCA and ACC, but favorable associations in LGG, SCLC, MESO and CESC. The LGG 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 LGG as the clearest survival context for DISP3 RNA expression.
This table summarizes DISP3 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 14. The strongest signals are observed in HNSC for RNA.
This table ranks reproducible tumor–normal expression differences for DISP3. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. DISP3 shows higher tumor expression in HNSC, BLCA, KIRC, UCEC, BRCA and LUAD. The HNSC box plot shows higher DISP3 RNA expression in tumor versus normal tissue (log2 FC = +0.399, t-test p < 0.001).
This table shows molecular features associated with DISP3 in patient tissues and cancer cell lines. In patient samples, DISP3 shows the broadest associations at the RNA and protein expression levels, with SCLC recurring as the lineage with the largest associated feature set. In cancer cell lines, DISP3 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 LARGE_INTESTINE.
