Q-omics provides the consensus-scored WDR90 profile across patient tissues and cancer cell-line models. WDR90 expression is associated with patient survival in 20 of 34 cancer types, with the highest sampling consensus in HNSC. Among the 18 cancer types available for tumor–normal comparison, WDR90 is differentially expressed in 17, with the highest sampling consensus in COAD. Additionally, WDR90 RNA expression shows 19,464 significant gene co-expression associations, with the highest sampling consensus in ACC. Together, these results highlight HNSC, COAD, and ACC as cancer lineages where WDR90 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 WDR90 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes WDR90 survival associations across molecular data types. WDR90 RNA expression shows survival associations in the most cancer types (20), followed by mutation status (7) and mass-spec protein abundance (2). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible WDR90 RNA expression–survival associations across cancer types. High WDR90 expression shows unfavorable associations in ACC, LGG, SKCM and MESO, but favorable associations in HNSC and BRCA. The HNSC 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 HNSC as the clearest survival context for WDR90 RNA expression.
This table summarizes WDR90 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 17, while mass-spec protein shows differences in 1. The strongest signals are observed in KIRC for RNA and LUAD for protein.
This table ranks reproducible tumor–normal expression differences for WDR90. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. WDR90 shows higher tumor expression in COAD, KIRP, KIRC, STAD, BLCA and LIHC. The COAD box plot shows higher WDR90 RNA expression in tumor versus normal tissue (log2 FC = +1.924, t-test p < 0.001).
This table shows molecular features associated with WDR90 in patient tissues and cancer cell lines. In patient samples, WDR90 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, WDR90 RNA and mutation anchors are most strongly linked to RNA-expression features, especially in OESOPHAGUS, while CRISPR and shRNA rows add functional-dependency signals in OVARY and BLOOD_Lymphoma.
