Q-omics provides the consensus-scored WDR53 profile across patient tissues and cancer cell-line models. WDR53 expression is associated with patient survival in 26 of 34 cancer types, with the highest sampling consensus in KICH. Among the 18 cancer types available for tumor–normal comparison, WDR53 is differentially expressed in 17, with the highest sampling consensus in HNSC. Additionally, WDR53 RNA expression shows 20,337 significant gene co-expression associations, with the highest sampling consensus in ACC. Together, these results highlight KICH, HNSC, and ACC as cancer lineages where WDR53 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 WDR53 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes WDR53 survival associations across molecular data types. WDR53 RNA expression shows survival associations in the most cancer types (26), followed by mutation status (3) 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 WDR53 RNA expression–survival associations across cancer types. High WDR53 expression shows unfavorable associations in KICH, ACC, LIHC, LGG, UCEC and KIRC. The KICH Kaplan–Meier curve shows clear separation, with the high-expression group declining faster, consistent with the unfavorable association (log-rank p = .002). Together, the overview and detailed table identify KICH as the clearest survival context for WDR53 RNA expression.
This table summarizes WDR53 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 5. The strongest signals are observed in HNSC for RNA and LSCC for protein.
This table ranks reproducible tumor–normal expression differences for WDR53. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. WDR53 shows lower tumor expression in THCA and higher tumor expression in HNSC, LIHC, BLCA, COAD and LUAD. The HNSC box plot shows higher WDR53 RNA expression in tumor versus normal tissue (log2 FC = +1.424, t-test p < 0.001).
This table shows molecular features associated with WDR53 in patient tissues and cancer cell lines. In patient samples, WDR53 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, WDR53 RNA and mutation anchors are most strongly linked to RNA-expression features, especially in UPPER_AERODIGESTIVE_TRACT, while CRISPR and shRNA rows add functional-dependency signals in PANCREAS and BLOOD_Lymphoma.