Q-omics provides the consensus-scored IK profile across patient tissues and cancer cell-line models. IK expression is associated with patient survival in 23 of 34 cancer types, with the highest sampling consensus in KICH. Among the 18 cancer types available for tumor–normal comparison, IK is differentially expressed in 8, with the highest sampling consensus in KIRC. Additionally, IK protein abundance shows 32,440 significant protein co-abundance associations, with the highest sampling consensus in GBM. Together, these results highlight KICH, KIRC, and GBM as cancer lineages where IK 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 IK — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes IK survival associations across molecular data types. IK RNA expression shows survival associations in the most cancer types (23), followed by mutation status (6) and mass-spec protein abundance (6). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible IK RNA expression–survival associations across cancer types. High IK expression shows unfavorable associations in KICH, LIHC, LUAD and KIRP, but favorable associations in KIRC and MESO. The KICH 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 KICH as the clearest survival context for IK RNA expression.
This table summarizes IK tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 8, while mass-spec protein shows differences in 8. The strongest signals are observed in KIRC for RNA and COAD for protein.
This table ranks reproducible tumor–normal expression differences for IK. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. IK shows lower tumor expression in KICH and LUSC and higher tumor expression in KIRC, LIHC, KIRP and CHOL. The KIRC box plot shows higher IK RNA expression in tumor versus normal tissue (log2 FC = +0.673, t-test p < 0.001).
This table shows molecular features associated with IK in patient tissues and cancer cell lines. In patient samples, IK shows the broadest associations at the RNA and protein expression levels, with GBM recurring as the lineage with the largest associated feature set. In cancer cell lines, IK RNA and mutation anchors are most strongly linked to RNA-expression features, especially in BLOOD_Leukemia, while CRISPR and shRNA rows add functional-dependency signals in OVARY and UPPER_AERODIGESTIVE_TRACT.
