Q-omics provides the consensus-scored INO80B-WBP1 profile across patient tissues and cancer cell-line models. INO80B-WBP1 expression is associated with patient survival in 24 of 34 cancer types, with the highest sampling consensus in KICH. Among the 18 cancer types available for tumor–normal comparison, INO80B-WBP1 is differentially expressed in 7, with the highest sampling consensus in HNSC. Additionally, INO80B-WBP1 RNA expression shows 11,987 significant gene co-expression associations, with the highest sampling consensus in ACC. Together, these results highlight KICH, HNSC, and ACC as cancer lineages where INO80B-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 INO80B-WBP1 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes INO80B-WBP1 survival associations across molecular data types. INO80B-WBP1 RNA expression shows survival associations in the most cancer types (24). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible INO80B-WBP1 RNA expression–survival associations across cancer types. High INO80B-WBP1 expression shows unfavorable associations in KICH, ACC, UCS, LUAD and LGG, but favorable associations in CESC. The KICH 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 KICH as the clearest survival context for INO80B-WBP1 RNA expression.
This table summarizes INO80B-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 HNSC for RNA.
This table ranks reproducible tumor–normal expression differences for INO80B-WBP1. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. INO80B-WBP1 shows lower tumor expression in KICH and THCA and higher tumor expression in HNSC, COAD, LUSC and BRCA. The HNSC box plot shows higher INO80B-WBP1 RNA expression in tumor versus normal tissue (log2 FC = +0.075, t-test p = .002).
This table shows molecular features associated with INO80B-WBP1 in patient tissues and cancer cell lines. In patient samples, INO80B-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, INO80B-WBP1 RNA and mutation anchors are most strongly linked to RNA-expression features, especially in SKIN, while CRISPR and shRNA rows add functional-dependency signals in BLOOD_Lymphoma.
