Q-omics provides the consensus-scored WDR49 profile across patient tissues and cancer cell-line models. WDR49 expression is associated with patient survival in 27 of 34 cancer types, with the highest sampling consensus in UVM. Among the 18 cancer types available for tumor–normal comparison, WDR49 is differentially expressed in 13, with the highest sampling consensus in KIRC. Additionally, WDR49 RNA expression shows 13,740 significant gene co-expression associations, with the highest sampling consensus in SKCM. Together, these results highlight UVM, KIRC, and SKCM as cancer lineages where WDR49 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 WDR49 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes WDR49 survival associations across molecular data types. WDR49 RNA expression shows survival associations in the most cancer types (27), followed by mutation status (6). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible WDR49 RNA expression–survival associations across cancer types. High WDR49 expression shows unfavorable associations in UVM, KICH, KIRC and STAD, but favorable associations in BRCA and CESC. The UVM 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 UVM as the clearest survival context for WDR49 RNA expression.
This table summarizes WDR49 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 13. The strongest signals are observed in KIRC for RNA.
This table ranks reproducible tumor–normal expression differences for WDR49. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. WDR49 shows lower tumor expression in KIRC, LUAD, KIRP, LUSC, BLCA and THCA. The KIRC box plot shows higher WDR49 RNA expression in normal versus tumor tissue (log2 FC = −0.250, t-test p < 0.001).
This table shows molecular features associated with WDR49 in patient tissues and cancer cell lines. In patient samples, WDR49 shows the broadest associations at the RNA and protein expression levels, with SKCM recurring as the lineage with the largest associated feature set. In cancer cell lines, WDR49 RNA and mutation anchors are most strongly linked to RNA-expression features, especially in BLOOD_Leukemia, while CRISPR and shRNA rows add functional-dependency signals in LARGE_INTESTINE and BLOOD_Lymphoma.
