Q-omics provides the consensus-scored ITPKB-IT1 profile across patient tissues and cancer cell-line models. ITPKB-IT1 expression is associated with patient survival in 25 of 34 cancer types, with the highest sampling consensus in COAD. Among the 18 cancer types available for tumor–normal comparison, ITPKB-IT1 is differentially expressed in 5, with the highest sampling consensus in LUSC. Additionally, ITPKB-IT1 RNA expression shows 12,569 significant gene co-expression associations, with the highest sampling consensus in LAML. Together, these results highlight COAD, LUSC, and LAML as cancer lineages where ITPKB-IT1 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 ITPKB-IT1 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes ITPKB-IT1 survival associations across molecular data types. ITPKB-IT1 RNA expression shows survival associations in the most cancer types (25). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible ITPKB-IT1 RNA expression–survival associations across cancer types. High ITPKB-IT1 expression shows unfavorable associations in COAD, OV and UVM, but favorable associations in ESCA, LUAD and HNSC. The COAD Kaplan–Meier curve shows clear separation, with the high-expression group declining faster, consistent with the unfavorable association (log-rank p = .001). Together, the overview and detailed table identify COAD as the clearest survival context for ITPKB-IT1 RNA expression.
This table summarizes ITPKB-IT1 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 5. The strongest signals are observed in LUSC for RNA.
This table ranks reproducible tumor–normal expression differences for ITPKB-IT1. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. ITPKB-IT1 shows lower tumor expression in LUSC, KICH, COAD and BRCA and higher tumor expression in CHOL. The LUSC box plot shows higher ITPKB-IT1 RNA expression in normal versus tumor tissue (log2 FC = −0.268, t-test p < 0.001).
This table shows molecular features associated with ITPKB-IT1 in patient tissues and cancer cell lines. In patient samples, ITPKB-IT1 shows the broadest associations at the RNA and protein expression levels, with LAML recurring as the lineage with the largest associated feature set.
