Q-omics provides the consensus-scored WDR26 profile across patient tissues and cancer cell-line models. WDR26 expression is associated with patient survival in 23 of 34 cancer types, with the highest sampling consensus in ACC. Among the 18 cancer types available for tumor–normal comparison, WDR26 is differentially expressed in 10, with the highest sampling consensus in LIHC. Additionally, WDR26 RNA expression shows 20,100 significant gene co-expression associations, with the highest sampling consensus in ACC. Together, these results highlight ACC, and LIHC as cancer lineages where WDR26 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 WDR26 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes WDR26 survival associations across molecular data types. WDR26 RNA expression shows survival associations in the most cancer types (23), followed by mutation status (3) and mass-spec protein abundance (6). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible WDR26 RNA expression–survival associations across cancer types. High WDR26 expression shows unfavorable associations in ACC, KIRP, BLCA, MESO, LIHC and KICH. The ACC 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 ACC as the clearest survival context for WDR26 RNA expression.
This table summarizes WDR26 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 10, while mass-spec protein shows differences in 4. The strongest signals are observed in LIHC for RNA and CCRCC for protein.
This table ranks reproducible tumor–normal expression differences for WDR26. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. WDR26 shows lower tumor expression in KICH and higher tumor expression in LIHC, BRCA, LUAD, KIRC and CHOL. The LIHC box plot shows higher WDR26 RNA expression in tumor versus normal tissue (log2 FC = +1.236, t-test p < 0.001).
This table shows molecular features associated with WDR26 in patient tissues and cancer cell lines. In patient samples, WDR26 shows the broadest associations at the RNA and protein expression levels, with ACC recurring as the lineage with the largest associated feature set. In cancer cell lines, WDR26 RNA and mutation anchors are most strongly linked to RNA-expression features, especially in BREAST, while CRISPR and shRNA rows add functional-dependency signals in LARGE_INTESTINE and BLOOD_Lymphoma.
