Q-omics provides the consensus-scored WDR11 profile across patient tissues and cancer cell-line models. WDR11 expression is associated with patient survival in 22 of 34 cancer types, with the highest sampling consensus in KIRC. Among the 18 cancer types available for tumor–normal comparison, WDR11 is differentially expressed in 11, with the highest sampling consensus in KICH. Additionally, WDR11 protein abundance shows 32,339 significant protein co-abundance associations, with the highest sampling consensus in GBM. Together, these results highlight KIRC, KICH, and GBM as cancer lineages where WDR11 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 WDR11 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes WDR11 survival associations across molecular data types. WDR11 RNA expression shows survival associations in the most cancer types (22), followed by mutation status (4) and mass-spec protein abundance (10). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible WDR11 RNA expression–survival associations across cancer types. High WDR11 expression shows unfavorable associations in ACC and CESC, but favorable associations in KIRC, READ, LUSC and ESCA. 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 WDR11 RNA expression.
This table summarizes WDR11 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 11, while mass-spec protein shows differences in 11. The strongest signals are observed in THCA for RNA and HNSC for protein.
This table ranks reproducible tumor–normal expression differences for WDR11. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. WDR11 shows lower tumor expression in KICH, THCA and BRCA and higher tumor expression in LIHC, CHOL and STAD. The KICH box plot shows higher WDR11 RNA expression in normal versus tumor tissue (log2 FC = −1.018, t-test p < 0.001).
This table shows molecular features associated with WDR11 in patient tissues and cancer cell lines. In patient samples, WDR11 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, WDR11 RNA and mutation anchors are most strongly linked to RNA-expression features, especially in OVARY, while CRISPR and shRNA rows add functional-dependency signals in LUNG_NSCLC_LUAD and LARGE_INTESTINE.
