Q-omics provides the consensus-scored IBSP profile across patient tissues and cancer cell-line models. IBSP expression is associated with patient survival in 29 of 34 cancer types, with the highest sampling consensus in KIRP. Among the 18 cancer types available for tumor–normal comparison, IBSP is differentially expressed in 16, with the highest sampling consensus in HNSC. Additionally, IBSP RNA expression shows 14,545 significant gene co-expression associations, with the highest sampling consensus in THYM. Together, these results highlight KIRP, HNSC, and THYM as cancer lineages where IBSP 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 IBSP — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes IBSP survival associations across molecular data types. IBSP RNA expression shows survival associations in the most cancer types (29), followed by mutation status (5) and mass-spec protein abundance (1). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible IBSP RNA expression–survival associations across cancer types. High IBSP expression shows unfavorable associations in KIRP, UVM, ACC, KIRC, LGG and STAD. The KIRP 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 KIRP as the clearest survival context for IBSP RNA expression.
This table summarizes IBSP tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 16. The strongest signals are observed in HNSC for RNA.
This table ranks reproducible tumor–normal expression differences for IBSP. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. IBSP shows higher tumor expression in HNSC, COAD, KIRC, BLCA, LUAD and THCA. The HNSC box plot shows higher IBSP RNA expression in tumor versus normal tissue (log2 FC = +1.854, t-test p < 0.001).
This table shows molecular features associated with IBSP in patient tissues and cancer cell lines. In patient samples, IBSP shows the broadest associations at the RNA and protein expression levels, with THYM recurring as the lineage with the largest associated feature set. In cancer cell lines, IBSP RNA and mutation anchors are most strongly linked to RNA-expression features, especially in SOFT_TISSUE, while CRISPR and shRNA rows add functional-dependency signals in LARGE_INTESTINE and STOMACH.
