Q-omics provides the consensus-scored WBP1 profile across patient tissues and cancer cell-line models. WBP1 expression is associated with patient survival in 23 of 34 cancer types, with the highest sampling consensus in ACC. Among the 18 cancer types available for tumor–normal comparison, WBP1 is differentially expressed in 7, with the highest sampling consensus in KICH. Additionally, WBP1 RNA expression shows 20,167 significant gene co-expression associations, with the highest sampling consensus in ACC. Together, these results highlight ACC, and KICH as cancer lineages where WBP1 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 WBP1 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes WBP1 survival associations across molecular data types. WBP1 RNA expression shows survival associations in the most cancer types (23), followed by mutation status (2). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible WBP1 RNA expression–survival associations across cancer types. High WBP1 expression shows unfavorable associations in ACC, COAD and KICH, but favorable associations in BLCA, SCLC and PAAD. The ACC 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 ACC as the clearest survival context for WBP1 RNA expression.
This table summarizes WBP1 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 7. The strongest signals are observed in KICH for RNA.
This table ranks reproducible tumor–normal expression differences for WBP1. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. WBP1 shows lower tumor expression in KICH and THCA and higher tumor expression in LIHC, HNSC, CHOL and BLCA. The KICH box plot shows higher WBP1 RNA expression in normal versus tumor tissue (log2 FC = −1.243, t-test p < 0.001).
This table shows molecular features associated with WBP1 in patient tissues and cancer cell lines. In patient samples, WBP1 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, WBP1 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 LUNG_NSCLC_LUSC and BLOOD_Leukemia.
