WD repeat and SOCS box containing 1Genealiases: SWIP1 · WSB-1
Q-omics provides the consensus-scored WSB1 profile across patient tissues and cancer cell-line models. WSB1 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, WSB1 is differentially expressed in 10, with the highest sampling consensus in HNSC. Additionally, WSB1 RNA expression shows 19,572 significant gene co-expression associations, with the highest sampling consensus in UVM. Together, these results highlight KIRC, HNSC, and UVM as cancer lineages where WSB1 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 WSB1 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes WSB1 survival associations across molecular data types. WSB1 RNA expression shows survival associations in the most cancer types (22), followed by mutation status (3) 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 WSB1 RNA expression–survival associations across cancer types. High WSB1 expression shows unfavorable associations in KIRC, UVM, CESC, LIHC and STAD, but favorable associations in LUAD. The KIRC 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 KIRC as the clearest survival context for WSB1 RNA expression.
This table summarizes WSB1 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 2. The strongest signals are observed in HNSC for RNA and CCRCC for protein.
This table ranks reproducible tumor–normal expression differences for WSB1. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. WSB1 shows lower tumor expression in KICH, LUSC and BRCA and higher tumor expression in HNSC, KIRC and LIHC. The HNSC box plot shows higher WSB1 RNA expression in tumor versus normal tissue (log2 FC = +0.748, t-test p < 0.001).
This table shows molecular features associated with WSB1 in patient tissues and cancer cell lines. In patient samples, WSB1 shows the broadest associations at the RNA and protein expression levels, with UVM recurring as the lineage with the largest associated feature set. In cancer cell lines, WSB1 RNA and mutation anchors are most strongly linked to RNA-expression features, especially in CNS, while CRISPR and shRNA rows add functional-dependency signals in BLOOD_Leukemia and LIVER.
