Q-omics provides the consensus-scored IQCK profile across patient tissues and cancer cell-line models. IQCK expression is associated with patient survival in 22 of 34 cancer types, with the highest sampling consensus in KIRC. Among the 18 cancer types available for tumor–normal comparison, IQCK is differentially expressed in 12, with the highest sampling consensus in KICH. Additionally, IQCK RNA expression shows 19,614 significant gene co-expression associations, with the highest sampling consensus in THYM. Together, these results highlight KIRC, KICH, and THYM as cancer lineages where IQCK 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 IQCK — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes IQCK survival associations across molecular data types. IQCK RNA expression shows survival associations in the most cancer types (22), followed by mutation status (3). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible IQCK RNA expression–survival associations across cancer types. High IQCK expression shows unfavorable associations in BLCA and STAD, but favorable associations in KIRC, READ, BRCA and UCEC. The KIRC Kaplan–Meier curve shows clear separation, with the low-expression group declining faster, consistent with the favorable association (log-rank p < 0.001). Together, the overview and detailed table identify KIRC as the clearest survival context for IQCK RNA expression.
This table summarizes IQCK tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 12. The strongest signals are observed in KICH for RNA.
This table ranks reproducible tumor–normal expression differences for IQCK. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. IQCK shows lower tumor expression in KICH, LUSC and KIRC and higher tumor expression in STAD, BRCA and COAD. The KICH box plot shows higher IQCK RNA expression in normal versus tumor tissue (log2 FC = −2.052, t-test p < 0.001).
This table shows molecular features associated with IQCK in patient tissues and cancer cell lines. In patient samples, IQCK 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, IQCK RNA and mutation anchors are most strongly linked to RNA-expression features, especially in CNS, while CRISPR and shRNA rows add functional-dependency signals in BONE and BLOOD_Lymphoma.
