Q-omics provides the consensus-scored IBA57-DT profile across patient tissues and cancer cell-line models. IBA57-DT expression is associated with patient survival in 21 of 34 cancer types, with the highest sampling consensus in ACC. Among the 18 cancer types available for tumor–normal comparison, IBA57-DT is differentially expressed in 10, with the highest sampling consensus in UCEC. Additionally, IBA57-DT RNA expression shows 17,053 significant gene co-expression associations, with the highest sampling consensus in UVM. Together, these results highlight ACC, UCEC, and UVM as cancer lineages where IBA57-DT 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 IBA57-DT — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes IBA57-DT survival associations across molecular data types. IBA57-DT RNA expression shows survival associations in the most cancer types (21). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible IBA57-DT RNA expression–survival associations across cancer types. High IBA57-DT expression shows unfavorable associations in ACC, KIRC, COAD, LUAD and PRAD, but favorable associations in THYM. 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 IBA57-DT RNA expression.
This table summarizes IBA57-DT tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 10. The strongest signals are observed in LIHC for RNA.
This table ranks reproducible tumor–normal expression differences for IBA57-DT. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. IBA57-DT shows lower tumor expression in UCEC, LUAD and KICH and higher tumor expression in HNSC, LIHC and COAD. The UCEC box plot shows higher IBA57-DT RNA expression in normal versus tumor tissue (log2 FC = −1.174, t-test p < 0.001).
This table shows molecular features associated with IBA57-DT in patient tissues and cancer cell lines. In patient samples, IBA57-DT shows the broadest associations at the RNA and protein expression levels, with UVM recurring as the lineage with the largest associated feature set.
